Reducing aerobic spoilage and rumen greenhouse gas emissions from anaerobically fermented feeds remains critical challenges in energy saving and environmental protection of animal husbandry.This study investigated the...Reducing aerobic spoilage and rumen greenhouse gas emissions from anaerobically fermented feeds remains critical challenges in energy saving and environmental protection of animal husbandry.This study investigated the effects of dandelions,both alone and combined with Lactobacillus plantarum and Lactobacillus buchneri(LAB)on fermentation quality,bacteriome and mycobiome after 180 d of anaerobic and 4 d of aerobic fermentation of whole-plant corn.In vitro dry matter digestion(IVDMD)and gas production from anaerobically fermented whole-plant corn were also assessed.The results demonstrated that dandelions,either alone or combined with LAB,effectively improved fermentation quality by reducing NH_(3)-N concentrations(22.72–25.99%)after anaerobic fermentation,decreasing the proliferation of yeast and molds to enhance the aerobic stability.Notably,the changes in the bacteriome were more pronounced than those in the mycobiome after aerobic exposure.The addition of dandelions or the combination reduced Acetobacter fabarum abundance,a member of the Acetobacter that was spoilage-induced microbe indicated by correlation analysis.Besides,these treatments facilitated competition relations of microbiome which contributed to the enhanced aerobic stability.Furthermore,dandelions reduced CH_(4)and CO_(2)emissions by 14.88 and 13.73%,respectively,and also positively influencing IVDMD by 4.46%.Collectively,dandelion alone or combined with LAB are promising strategies to improve the aerobic stability of anaerobically fermented whole-plant corn,a process linked to the interactions between the bacteriome and mycobiome,and to contribute to clean production by reducing rumen CH_(4)and CO_(2)emissions.展开更多
Agricultural greenhouses(AGHs)are increasingly used globally to control the crop growth environment,which are vital for food production,resource conservation,and rural economies.Advances in high-quality data acquisiti...Agricultural greenhouses(AGHs)are increasingly used globally to control the crop growth environment,which are vital for food production,resource conservation,and rural economies.Advances in high-quality data acquisition methods and information retrieval algorithms have improved the ability to extract AGHs from remote sensing images(e.g.,satellite and uncrewed aerial vehicle(UAV)).Research on this topic began in 1989,and the number of related studies has increased annually.This paper provides a review of the development of remote sensing of AGHs and research hotspots.It summarizes the current status and trends of data sources,identification features,methods,and accuracy of AGHs extraction.Due to the unique spectral,textural,and geometric characteristics of AGHs,research studies have primarily utilized optical remote sensing data from sensors with spatial resolutions of 30 m or more,such as Landsat,Sentinel,Gaofen(GF),and Worldview,to extract AGHs.Machine learning and deep learning methods have provided more precise results for extracting AGHs than threshold segmentation methods.In contrast,deep learning algorithms have been primarily used with high-spatial resolution data and small-scale study areas,with accuracy rates generally exceeding 90.00%.However,future research may use higher spatial resolution images to improve the accuracy and detail of AGH extraction.Recent studies have integrated multiple data sources and performed time-series analysis to improve monitoring of dynamic changes in AGHs.Moreover,emphasis should be placed on optimizing data fusion techniques,implementing sample transfer methods,expanding the number of sensors,and increasing the application of artificial intelligence(AI)in monitoring AGHs.These efforts will provide more reliable methods and tools to improve agricultural production and resource utilization efficiency.This review provides resources for researchers and decision-makers involved in modern agricultural development,as well as scientific evidence for the sustainable development of rural areas.展开更多
As the global leader in rice production,China's paddy fields contribute substantially to greenhouse gas emissions through methane(CH_(4))and nitrous oxide(N_(2)O)releases.Aromatic rice cultivation practices have b...As the global leader in rice production,China's paddy fields contribute substantially to greenhouse gas emissions through methane(CH_(4))and nitrous oxide(N_(2)O)releases.Aromatic rice cultivation practices have been optimized to enhance the aroma,so the relationship between its cultivation and greenhouse gas emissions from paddy fields is unclear.To investigate how aroma-enhancing cultivation practices drive microbial community dynamics in aromatic rice paddies and their implications for greenhouse gas emissions,a two-year experiment in five ecological locations(Xingning,Nanxiong,Conghua,Luoding,and Zengcheng)compared two farming practices:partial organic substitution for inorganic fertilizers combined with water-saving irrigation(IOF+W)and traditional cultivation(CK).The CH_(4)and N_(2)O emissions,soil microbial composition and function,global warming potential(GWP),nitrogen use efficiency,yield,and the content of 2-acetyl-1-pyrroline(2-AP)were measured and analyzed.The main purpose was to investigate the impact of IOF+W on CH_(4)and N_(2)O emissions and their relationship with soil microorganisms.The results showed that IOF+W significantly reduced CH_(4)emission fluxes and totals(36.95%)and GWP(31.29%),while significantly increasing N_(2)O emission fluxes and totals(14.82%).The soil microbial community structure was reshaped by the IOF+W treatment,which suppressed methanogens but enhanced the abundances of nitrifying and denitrifying bacteria.Key enzymatic activities involved in CH_(4)production,such as methyl-coenzyme M reductase,formylmethanofuran dehydrogenase,and methyltransferase,decreased.In contrast,the activity of the key CH_(4)-oxidizing enzyme methanol dehydrogenase increased.This shift led to an overall attenuation of the CH_(4)production metabolism while enhancing the CH_(4)oxidation metabolism.In addition,the activities of pivotal enzymes involved in denitrification and nitrification were improved,thus enhancing nitrogen nitrification and denitrification metabolism.Moreover,the IOF+W treatment significantly increased nitrogen use efficiency(47.83%),yield(14.77%),and 2-AP content(13.78%).Therefore,the IOF+W treatment demonstrated good efficacy as a sustainable strategy for achieving productive,green,resource-efficient,and premium-quality aromatic rice cultivation in South China.展开更多
Aquaculture ponds have emerged as a significant contributor to greenhouse gas(GHG)emissions.We measured methane(CH_(4)),carbon dioxide(CO_(2)),and nitrous oxide(N_(2)O)emissions in ponds,all located in Jiangsu Provinc...Aquaculture ponds have emerged as a significant contributor to greenhouse gas(GHG)emissions.We measured methane(CH_(4)),carbon dioxide(CO_(2)),and nitrous oxide(N_(2)O)emissions in ponds,all located in Jiangsu Province,with different fish and management practices over an entire cycle.All ponds emitted these gases,with higher CH_(4) and N_(2)O levels during fish growth than stocking period.The highest CH_(4) and N_(2)O fluxes were found in the Crucian carp(Carassius auratus)pond with up to 16,512±3015μmol/(m^(2)·h)and 5.54±0.31μmol/(m^(2)·h),respectively.CH_(4) was the primary contributor to the global warming potential in traditional earthen ponds,accounting for an average contribution rate of 87.7%.The dissolved oxygen(DO)concentration was the water quality parameter that most significantly influenced the CO_(2)flux,while pH acted as its primary regulator.The GHG emission intensity per unit of fish production in traditional earthen ponds was 197 times higher than that in-pond raceway systems.Largemouth bass(Micropterus salmoides)and Crucian carp ponds exhibited CH_(4) diffusion fluxes at the sediment-water interface,which were>20 times higher than those at the water-air interface.Our results further suggest that stocking density and feed amount significantly influence the variations in GHG emissions among the ponds with the in-pond raceway system having low carbon emissions and being high yield aquaculture system compared to traditional earthen ponds.The water depth and DO concentration can be manipulated to reduce GHG emissions across the various interfaces.展开更多
This study investigated the efficient conversion of greenhouse gases(GHGs),CO_(2)and CH_(4)mixtures,into few-walled carbon nanotubes(FWCNTs)through an optimized single-step and dual-step chemical vapor deposition(CVD)...This study investigated the efficient conversion of greenhouse gases(GHGs),CO_(2)and CH_(4)mixtures,into few-walled carbon nanotubes(FWCNTs)through an optimized single-step and dual-step chemical vapor deposition(CVD)process.In the single-step process for directly synthesizing FWCNTs from greenhouse gases,CO_(2)concentration,gas flowrates,and H_(2)addition were identified as factors influencing the growth of FWCNTs.It was demonstrated that minimizing the amounts of CO_(2)and H_(2)was essential for achieving complete CO_(2)conversion because CO_(2)acts as an oxidizing agent that hinders CNT growth,while an excess of H_(2)disrupts the chemical equilibrium of the CO_(2)conversion reaction,leading to side reactions that suppress FWCNTs formation.To overcome these limitations,a dual-step approach incorporating sequential catalytic reactions was developed.In the first step,the Ni/SiO_(2)catalyst was utilized to facilitate CO_(2)methanation,reducing CO_(2)amounts while generating CH_(4)-rich gas.In the second step,CH_(4)pyrolysis was performed over the FeMo/MgO catalyst,enabling the growth of high-quality FWCNTs.This sequential configuration successfully synthesized FWCNTs under conditions previously unattainable in the single-step process,validating the effectiveness of the dual-step design.The strategic optimization of process parameters and sequential catalytic reactions established a viable route for converting GHGs into valuable FWCNTs.展开更多
In the tropical regions represented by Hainan,there are abundant solar and thermal resources,and it is relatively suitable for the construction of photovoltaic greenhouse(PVG).However,the construction of PVG still rel...In the tropical regions represented by Hainan,there are abundant solar and thermal resources,and it is relatively suitable for the construction of photovoltaic greenhouse(PVG).However,the construction of PVG still relies mainly on experience and is incapable of quantifying the balance between the photovoltaic(PV)generation and the light requirements for agricultural production.As a result,actual PVGs are primarily PV-based,without carefully considering the needs of agricultural daylighting.To quantify the influence of the design parameters of PVGs and the layout of PV panels on the internal daylighting of serrated PVGs,and to optimize the daylighting design of the roof,this paper utilizes the Design Builder software to establish gradient models for a multi-span serrated-type PVG in tropical regions.Gradient models were established in terms of aspects,namely span,width of longitudinal/transverse daylighting strip,height,roof angle,and photovoltaic panel coverage rate(PCR).Daylighting in the greenhouse of each gradient model was simulated,and with the annual average daily light integral(A_(DLI))and distribution uniformity(DU)as evaluation indicators,the influence of various design parameters on the daylighting inside the greenhouse was quantified.The result reveals that:(1)PCR is the decisive indicator for daylighting in the PVG,and a function between PCR and the A_(DLI) is derived as A_(DLI)=-15.5 PCR+16.841;(2)Increasing the width of longitudinal daylighting strip significantly improves the A_(DLI) and enhances DU while increasing the span has a noticeable effect on improving A_(DLI) but does not significantly enhance DU;(3)Increasing the eave height without changing PCR does not enhance A_(DLI) but effectively improves DU;increasing the transverse daylighting strip and adjusting the roof angle hardly improves A_(DLI).In summary,it is recommended that the optimal span for PVGs in tropical regions be set within the range of 6.5-8.0m,and the eave height be set within the range of 2.5-3.5m.Preferably,the longitudinal daylighting strip with a width ranging from 0.5-0.8m should be installed.Based on the above relationship function,the PCR can be calculated according to the appropriate light demand for the cultivated crops.The daylighting design theory proposed in this paper can provide a theoretical basis and reference for the healthy development of the PV industry in tropical regions.展开更多
Accurately predicting environmental parameters in solar greenhouses is crucial for achieving precise environmental control.In solar greenhouses,temperature,humidity,and light intensity are crucial environmental parame...Accurately predicting environmental parameters in solar greenhouses is crucial for achieving precise environmental control.In solar greenhouses,temperature,humidity,and light intensity are crucial environmental parameters.The monitoring platform collected data on the internal environment of the solar greenhouse for one year,including temperature,humidity,and light intensity.Additionally,meteorological data,comprising outdoor temperature,outdoor humidity,and outdoor light intensity,was gathered during the same time frame.The characteristics and interrelationships among these parameters were investigated by a thorough analysis.The analysis revealed that environmental parameters in solar greenhouses displayed characteristics such as temporal variability,non-linearity,and periodicity.These parameters exhibited complex coupling relationships.Notably,these characteristics and coupling relationships exhibited pronounced seasonal variations.The multi-parameter multi-step prediction model for solar greenhouse(MPMS-SGH)was introduced,aiming to accurately predict three key greenhouse environmental parameters,and the model had certain seasonal adaptability.MPMS-SGH was structured with multiple layers,including an input layer,a preprocessing layer,a feature extraction layer,and a prediction layer.The input layer was used to generate the original sequence matrix,which included indoor temperature,indoor humidity,indoor light intensity,as well as outdoor temperature and outdoor light intensity.Then the preprocessing layer normalized,decomposed,and positionally encoded the original sequence matrix.In the feature extraction layer,the time attention mechanism and frequency attention mechanism were used to extract features from the trend component and the seasonal component,respectively.Finally,the prediction layer used a multi-layer perceptron to perform multi-step prediction of indoor environmental parameters(i.e.temperature,humidity,and light intensity).The parameter selection experiment evaluated the predictive performance of MPMS-SGH on input and output sequences of different lengths.The results indicated that with a constant output sequence length,the prediction accuracy of MPMS-SGH was firstly increased and then decreased with the increase of input sequence length.Specifically,when the input sequence length was 100,MPMS-SGH had the highest prediction accuracy,with RMSE of 0.22℃,0.28%,and 250lx for temperature,humidity,and light intensity,respectively.When the length of the input sequence remained constant,as the length of the output sequence increased,the accuracy of the model in predicting the three environmental parameters was continuously decreased.When the length of the output sequence exceeded 45,the prediction accuracy of MPMS-SGH was significantly decreased.In order to achieve the best balance between model size and performance,the input sequence length of MPMS-SGH was set to be 100,while the output sequence length was set to be 35.To assess MPMS-SGH’s performance,comparative experiments with four prediction models were conducted:SVR,STL-SVR,LSTM,and STL-LSTM.The results demonstrated that MPMS-SGH surpassed all other models,achieving RMSE of 0.15℃for temperature,0.38%for humidity,and 260lx for light intensity.Additionally,sequence decomposition can contribute to enhancing MPMS-SGH’s prediction performance.To further evaluate MPMS-SGH’s capabilities,its prediction accuracy was tested across different seasons for greenhouse environmental parameters.MPMS-SGH had the highest accuracy in predicting indoor temperature and the lowest accuracy in predicting humidity.And the accuracy of MPMS-SGH in predicting environmental parameters of the solar greenhouse fluctuated with seasons.MPMS-SGH had the highest accuracy in predicting the temperature inside the greenhouse on sunny days in spring(R^(2)=0.91),the highest accuracy in predicting the humidity inside the greenhouse on sunny days in winter(R^(2)=0.83),and the highest accuracy in predicting the light intensity inside the greenhouse on cloudy days in autumm(R^(2)=0.89).MPMS-SGH had the lowest accuracy in predicting three environmental parameters in a sunny summer greenhouse.展开更多
Long-term mulching has improved crop yields and farmland productivity in semiarid areas,but it has also increased greenhouse gas(GHG)emissions and depleted soil fertility.Biochar application has emerged as a promising...Long-term mulching has improved crop yields and farmland productivity in semiarid areas,but it has also increased greenhouse gas(GHG)emissions and depleted soil fertility.Biochar application has emerged as a promising solution for addressing these issues.In this study,we investigated the effects of four biochar application rates(no biochar(N)=0 t ha^(-1),low(L)=3 t ha^(-1),medium(M)=6 t ha^(-1),and high(H)=9 t ha^(-1))under film mulching and no mulching conditions over three growing seasons.We assessed the impacts on GHG emissions,soil organic carbon sequestration(SOCS),and maize yield to evaluate the productivity and sustainability of farmland ecosystems.Our results demonstrated that mulching increased maize yield(18.68-41.80%),total fixed C in straw(23.64%),grain(28.87%),and root(46.31%)biomass,and GHG emissions(CO_(2),10.78%;N_(2)O,3.41%),while reducing SOCS(6.57%)and GHG intensity(GHGI;13.61%).Under mulching,biochar application significantly increased maize yield(10.20%),total fixed C in straw(17.97%),grain(17.69%)and root(16.75%)biomass,and SOCS(4.78%).Moreover,it reduced the GHG emissions(CO_(2),3.09%;N_(2)O,6.36%)and GHGI(12.28%).These effects correlated with the biochar addition rate,with the optimal rate being 9.0 t ha^(-1).In conclusion,biochar application reduces CO_(2) and N_(2)O emissions,enhances CH_(4) absorption,and improves maize yield under film mulching.It also improves the soil carbon fixation capacity while mitigating the warming potential,making it a promising sustainable management method for mulched farmland in semiarid areas.展开更多
Both soil organic carbon (SOC) and iron (Fe) oxide content, among other factors, drive the formation and stability of soil aggregates.However, the mechanism of these drivers in greenhouse soil fertilized with organic ...Both soil organic carbon (SOC) and iron (Fe) oxide content, among other factors, drive the formation and stability of soil aggregates.However, the mechanism of these drivers in greenhouse soil fertilized with organic fertilizer is not well understood.In a 3-year field experiment, we aimed to investigate the factors which drive the stability of soil aggregates in greenhouse soil.To explore the impact of organic fertilizer on soil aggregates, we established four treatments:no fertilization (CK);inorganic fertilizer (CF);organic fertilizer (OF);and combined application of inorganic and organic fertilizers(COF).The application of organic fertilizer significantly enhanced the stability of aggregates, that is it enhanced the mean weight diameter, geometric mean diameter and aggregate content (%) of>0.25 mm aggregate fractions.OF and COF treatments increased the concentration of SOC, especially the aliphatic-C, aromatic-C and polysaccharide-C components of SOC, particularly in>0.25 mm aggregates.Organic fertilizer application significantly increased the content of free Fe(Fed), reactive Fe (Feo), and non-crystalline Fe in both bulk soil and aggregates.Furthermore, non-crystalline Fe showed a positive correlation with SOC content in both bulk soil and aggregates.Both non-crystalline Fe and SOC were significantly positively correlated with>2 mm mean weight diameter.Overall, we believe that the increase of SOC, aromatic-C, and non-crystal ine Fe concentrations in soil after the application of organic fertilizer is the reason for improving soil aggregate stability.展开更多
In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materia...In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materialized as a favorable tool for environmental remediation, indicating efficacy as an efficient sorbent substance for both inorganic and organic pollutants in environmental field. These unique properties exclude improved surface functionality, porous morphology, large specific surface area (SSA), cation exchange capacity (CEC), robust adsorption capabilities, environmental stability, and embedded micronutrients. Biochar exhibited potential characteristics for environmental oversight, greenhouse gas (GHG) emission reduction, and soil fertility improvement. This review explores the impact of fundamental factors such as retention time, pyrolysis temperature, gas flow rate, and reactor design on biochar yield and properties. Collected data revealed the various applications of biochar, ranging from waste management and construction materials to the adsorptive removal of hydrocarbon lubricants from aqueous media, contaminant immobilization, and carbon sequestration. It has played mostly a significant share in climate change mitigation and an important role in soil amendments. Biochar improves soil improvement by increasing water retention (10%–30%), carbon sequestration, soil surface functionality, and providing high surface area with chemical stability. The assessment also reports the prospects and contests associated with biochar application uses in various agriculture cropping ecosystems. Inclusive, this review highlights the multifaceted characteristics of biochar as an adjustable on top of a sustainable solution addressing greenhouse gas emission, carbon sequestration, and environmental stresses. However, further research is needed to understand its long-term impacts and optimal applications fully.展开更多
Global warming and nitrogen(N)deposition have a profound impact on greenhouse gas(GHG)fluxes and consequently,they also affect climate change.However,the global combined effects of warming and N addition on GHG fluxes...Global warming and nitrogen(N)deposition have a profound impact on greenhouse gas(GHG)fluxes and consequently,they also affect climate change.However,the global combined effects of warming and N addition on GHG fluxes remain to be fully understood.To address this knowledge gap,a globalmeta-analysis of 197 datasets was performed to assess the response of GHG fluxes to warming and N addition and their interactions under various climate and experimental conditions.The results indicate that warming significantly increased CO_(2)emissions,while N addition and the combined warming and N addition treatments had no impact on CO_(2)emissions.Moreover,both warming and N addition and their interactions exhibited positive effects on N_(2)O emissions.Under the combined warming and N addition treatments,warming was observed to exert a positive main effect on CO_(2)emissions,while N addition had a positive main effect on N_(2)O emissions.The interactive effects of warming and N addition exhibited antagonistic effects on CO_(2),N_(2)O,and CH_(4)emissions,with CH_(4)uptake dominated by additive effects.Furthermore,we identified biome and climate factors as the two treatments.These findings indicate that both warming and N addition substantially impact soil GHG fluxes and highlight the urgent need to investigate the influence of the combination of warming and N addition on terrestrial carbon and N cycling under ongoing global change.展开更多
Chinese tomato grafting technology.As Joel Kirui transplanted tomato seedlings on his 1-hectare farmland in Nakuru County,160 km northwest of Kenya’s capital Nairobi,he recalled how proceeds from his small-scale farm...Chinese tomato grafting technology.As Joel Kirui transplanted tomato seedlings on his 1-hectare farmland in Nakuru County,160 km northwest of Kenya’s capital Nairobi,he recalled how proceeds from his small-scale farming helped to fund his education.展开更多
In light of the increasing recognition of the necessity to evaluate and mitigate the environmental impact of human activities, the aim of this study is to assess the greenhouse gases emitted in 2022 by the Kossodo the...In light of the increasing recognition of the necessity to evaluate and mitigate the environmental impact of human activities, the aim of this study is to assess the greenhouse gases emitted in 2022 by the Kossodo thermal power plant as a consequence of its electricity production. The specific objective was to identify the emission sources and quantify the gases generated, with the purpose of proposing effective solutions for reducing the plant’s ecological footprint. In order to achieve the objectives set out in the study, the Bilan Carbone® method was employed. Following an analysis of the plant’s activities, seven emission items were identified as requiring further investigation. The data was gathered from the plant’s activity reports, along with measurements and questionnaires distributed to employees. The data collected was subjected to processing in order to produce the sought activity data. The Bilan Carbone® V7.1 spreadsheet was employed to convert the activity data into equivalent quantities of CO2. The full assessment indicates that the majority of the power plant’s emissions come from the combustion of HFO and DDO, accounting for 96.11% of the Kossodo power plant’s total GHG emissions in 2022. The plant produced 280,585,676 kilowatt-hours (kWh), resulting in emissions of 218,492.785 ± 10,924.639 tCO2e, which yielded an emission factor of 0.78 kgCO2e/kWh for the year 2022. In order to reduce this rate, recommendations for improved energy efficiency have been issued to management and all staff.展开更多
Fresh fish was the best-selling product in Xitun Supermarket in Nyingchi City,the Xizang Autonomous Region,in the second half of 2024."They were really fresh and usually sold out within half an hour,"He Mei,...Fresh fish was the best-selling product in Xitun Supermarket in Nyingchi City,the Xizang Autonomous Region,in the second half of 2024."They were really fresh and usually sold out within half an hour,"He Mei,manager of the supermarket,said.The fish were raised by a local aquaculture farm,Nyingchi Statefarm Karma Agriculture Co.Ltd.(NSKA).展开更多
[Objectives]To improve the thermal insulation performance of solar greenhouses in winter,enhance solar energy utilization efficiency,reduce additional carbon emissions,and lower winter heating costs for greenhouses.[M...[Objectives]To improve the thermal insulation performance of solar greenhouses in winter,enhance solar energy utilization efficiency,reduce additional carbon emissions,and lower winter heating costs for greenhouses.[Methods]An active heat storage and release water bag was added inside the solar greenhouse.Comparative experiments were conducted between the experimental greenhouse K1 equipped with the heat storage water bag and the control greenhouse K2 under different winter night weather conditions.[Results]On sunny days,the maximum temperature difference between K1 and K2 was 2.3℃,and the average temperature during the water bag's heat release period increased by 2.2℃;on cloudy days,the maximum temperature difference was 2.2℃,and the average temperature increased by 2.0℃;on snowy days,the maximum temperature difference was 1.8℃,and the average temperature increased by 1.6℃.Additionally,the heat storage capacities of the water bag on sunny,cloudy,and snowy days were 491.4,453.6,and 365.4 MJ,respectively.The corresponding nighttime heat release amounts were 378,302.4,and 226.8 MJ,respectively.The corresponding heat storage-release efficiencies were 76%,66.2%,and 62%,respectively.The service life of the heat storage water bag can reach 10 years,with an annual operating cost of approximately 2500 yuan.[Conclusions]By comprehensively analyzing the initial costs,operating expenses,and cost savings rate compared to coal burning for current main energy-saving heat storage and warming equipment in solar greenhouses,this study provides reference suggestions for the promotion,application,and selection of winter heat storage and warming equipment for solar greenhouses in different regions.Users can choose to install the equipment based on the performance characteristics of the heat storage water bag and their actual needs.展开更多
Agriculture is part of the food production that feeds the expanding population though it produces considerable greenhouse gas(GHG)emissions.It's crucial to balancing food security and emission reduction for a win-...Agriculture is part of the food production that feeds the expanding population though it produces considerable greenhouse gas(GHG)emissions.It's crucial to balancing food security and emission reduction for a win-win scenario.However,the lack of sufficient comprehensive district-level assessments makes it difficult to determine the specific mitigation potential for agriculture emissions.In this study,we deployed the IPCC Tier 1 approach and estimated GHG at district/division level in Bangladesh from the year 2010 to 2021.We computed three primary GHG(CO_(2),N_(2)O,and CH_(4))from five sources of agriculture,namely,rice-growing CH_(4),other crops-growing N_(2)O,enteric fermentation,urea fertilizer-induced N_(2)O,and energy-related CO_(2)emissions in the 64 districts,and aggregated them into eight divisions.We observed from this study that GHG emissions in Bangladesh gradually increased from 2010 to 2021 and reached the peak(34.3 MtCO_(2)e)in 2021.Rangpur division emitted the highest amount of GHG(6.03 MtCO_(2)e in 2021)during this period.We also observed significant variations in the sources and structure of emissions within each division.Moreover,regional differences were observed in overall emissions and per capita emissions after additional spatial analysis,with per capita GHG emissions declining from 2010(1.97 t CO_(2)e)to 2021(1.90 t CO_(2)e).Findings of this regional(district/division)estimation will help stakeholders of the country to develop suitable mitigation approaches which targets particular emission sources and geographic areas.展开更多
[Objectives]To clarify the effects of varying potassium application rates on leaf growth and soil mineral nutrients of greenhouse peaches,and to identify the optimal potassium fertilizer dosage.[Methods]Using the gree...[Objectives]To clarify the effects of varying potassium application rates on leaf growth and soil mineral nutrients of greenhouse peaches,and to identify the optimal potassium fertilizer dosage.[Methods]Using the greenhouse peach superior line C26-7-17 as the test material and maintaining a fixed ratio of nitrogen and phosphorus fertilizers,five potassium fertilizer treatment groups were established.The application rates of potassium sulfate were 0,67,135,202,and 269 g/plant,respectively.The regulatory effects of varying potassium application rates were analyzed by measuring leaf area,chlorophyll content,and soil mineral element content.[Results]Applying nitrogen,phosphorus,and potassium fertilizers in specific proportions increased the leaf area of greenhouse peaches,enhanced chlorophyll content,and significantly improved the soil s nutritional status.Considering the overall optimization of soil nutrients,the recommended potassium fertilizer dosage under the experimental conditions was 202 g/plant.[Conclusions]This study offers theoretical insights that may enhance the quality and efficiency of greenhouse peaches,as well as inform nutrient management strategies.展开更多
With the increasingly serious environmental problems,the use of sustainable materials is particularly important.This study focuses on the greenhouse gas emissions and economic costs of wood over its life cycle as a su...With the increasingly serious environmental problems,the use of sustainable materials is particularly important.This study focuses on the greenhouse gas emissions and economic costs of wood over its life cycle as a sustainable resource.We use a systematic life cycle assessment(LCA)approach to assess the entire process from raw material collection,processing,use to disposal.The study found that using wood can significantly reduce greenhouse gas emissions compared to traditional building materials such as steel and concrete.In addition,although the initial procurement costs of wood may be higher,its maintenance costs are lower in the long run,making the life cycle costs generally more economical.The results of this study highlight the environmental and economic advantages of wood in the selection of sustainable building materials,and provide a scientific basis for promoting the use of wood.展开更多
A numerical study analyzed double diffusion caused by convective and radiative heat transfer in a greenhouse with and without internal humidity sources.Two cases were examined:one considering temperature and mass conc...A numerical study analyzed double diffusion caused by convective and radiative heat transfer in a greenhouse with and without internal humidity sources.Two cases were examined:one considering temperature and mass concentration gradients on vertical walls and another incorporating internal humidity sources,enhancing convective and diffusive flows.Four configurations were analyzed by varying the length of the greenhouse,and the Rayleigh number was calculated over a range from 2.29×10^(10) to 6.07×10^(12).Simulations modeled the greenhouse interior six times a day(8:00 a.m.to 7:00 p.m.),accounting for external temperature,humidity,and solar radiation.The Finite Volume Method solved the governing equations using the k-εturbulence model for the turbulent flow regime.Results showed a maximum temperature of 50℃ at 2:50 p.m.and a relative humidity of 84.12%.Adjusting inlet temperature and humidity effectively mitigated external weather effects.Adding humidity sources improved greenhouse performance,increasing humidity concentration by 4.93 to 5.35 times,particularly at 2:50 and 4:20 p.m.Convective and radiative Nusselt and Sherwood numbers were plotted for both cases,revealing higher humidity levels with internal sources,highlighting their importance in optimizing greenhouse microclimates.展开更多
The application of different coatings on solar photovoltaic(PV)panels can be an efficient solution to increase performance and further mitigate the emission of greenhouse gases.This study uses the Life Cycle Assessmen...The application of different coatings on solar photovoltaic(PV)panels can be an efficient solution to increase performance and further mitigate the emission of greenhouse gases.This study uses the Life Cycle Assessment(LCA)methodology and the environmental payback concept to analyze the effects of the application of a nano-silica coating on a solar PV system installed in the Brazilian Northeast.Firstly,an uncoated reference 16.4 MW PV system is designed,and the detailed inventory is presented(PV panels,supporting structure,inverters,junction boxes,cables,transportation,maintenance and operation-including the replacement of equipment).The results of the LCA quantify the greenhouse gas emissions associated with the PV system.Electricity production is estimated by technical and local climate data.Subsequently,the environmental payback time of the system is calculated,which is the time required for the PV system to offset the emissions associated with system manufacturing,operation,and disposal.This is the first Brazilian study to verify the effects of a self-cleaning coating on a solar PV system throughout its lifetime,compared to the uncoated(reference system).The original photovoltaic system emitted 22,534,773 kg CO_(2)-eq,with an environmental payback of 5 years and 1 day.When the self-cleaning coating is applied,the emissions are 21,511,317 kg CO_(2)-eq(almost 5%lower)with a payback of 4 years,1 month and 26 days.The application of self-cleaning coatings reduces the required area for installation(due to increased efficiency),and not only reduces emissions but is also aligned with global sustainability targets and contributes to the concept of sustainable and intelligent cities.展开更多
基金supported by the Henan Provincial Science and Technology Research Project,China(242102111014)the Key Scientific Research Project of Colleges and Universities in Henan Province,China(23A230003)the Cultivation Program for Young Key Teachers and the Scientific Research Foundation for High-level Talents in Henan University of Technology,China(31401489)。
文摘Reducing aerobic spoilage and rumen greenhouse gas emissions from anaerobically fermented feeds remains critical challenges in energy saving and environmental protection of animal husbandry.This study investigated the effects of dandelions,both alone and combined with Lactobacillus plantarum and Lactobacillus buchneri(LAB)on fermentation quality,bacteriome and mycobiome after 180 d of anaerobic and 4 d of aerobic fermentation of whole-plant corn.In vitro dry matter digestion(IVDMD)and gas production from anaerobically fermented whole-plant corn were also assessed.The results demonstrated that dandelions,either alone or combined with LAB,effectively improved fermentation quality by reducing NH_(3)-N concentrations(22.72–25.99%)after anaerobic fermentation,decreasing the proliferation of yeast and molds to enhance the aerobic stability.Notably,the changes in the bacteriome were more pronounced than those in the mycobiome after aerobic exposure.The addition of dandelions or the combination reduced Acetobacter fabarum abundance,a member of the Acetobacter that was spoilage-induced microbe indicated by correlation analysis.Besides,these treatments facilitated competition relations of microbiome which contributed to the enhanced aerobic stability.Furthermore,dandelions reduced CH_(4)and CO_(2)emissions by 14.88 and 13.73%,respectively,and also positively influencing IVDMD by 4.46%.Collectively,dandelion alone or combined with LAB are promising strategies to improve the aerobic stability of anaerobically fermented whole-plant corn,a process linked to the interactions between the bacteriome and mycobiome,and to contribute to clean production by reducing rumen CH_(4)and CO_(2)emissions.
基金Under the auspices of the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA28050400)Jilin Province Key Research and Development Project(No.20230202040NC)Common Application Support Platform for National Civil Space Infrastructure Land Observation Satellites(No.2017-000052-73-01-001735)。
文摘Agricultural greenhouses(AGHs)are increasingly used globally to control the crop growth environment,which are vital for food production,resource conservation,and rural economies.Advances in high-quality data acquisition methods and information retrieval algorithms have improved the ability to extract AGHs from remote sensing images(e.g.,satellite and uncrewed aerial vehicle(UAV)).Research on this topic began in 1989,and the number of related studies has increased annually.This paper provides a review of the development of remote sensing of AGHs and research hotspots.It summarizes the current status and trends of data sources,identification features,methods,and accuracy of AGHs extraction.Due to the unique spectral,textural,and geometric characteristics of AGHs,research studies have primarily utilized optical remote sensing data from sensors with spatial resolutions of 30 m or more,such as Landsat,Sentinel,Gaofen(GF),and Worldview,to extract AGHs.Machine learning and deep learning methods have provided more precise results for extracting AGHs than threshold segmentation methods.In contrast,deep learning algorithms have been primarily used with high-spatial resolution data and small-scale study areas,with accuracy rates generally exceeding 90.00%.However,future research may use higher spatial resolution images to improve the accuracy and detail of AGH extraction.Recent studies have integrated multiple data sources and performed time-series analysis to improve monitoring of dynamic changes in AGHs.Moreover,emphasis should be placed on optimizing data fusion techniques,implementing sample transfer methods,expanding the number of sensors,and increasing the application of artificial intelligence(AI)in monitoring AGHs.These efforts will provide more reliable methods and tools to improve agricultural production and resource utilization efficiency.This review provides resources for researchers and decision-makers involved in modern agricultural development,as well as scientific evidence for the sustainable development of rural areas.
基金provided by the Guangdong Province Low-Carbon Fragrant Rice Cultivation Demonstration Project,China(F23032)。
文摘As the global leader in rice production,China's paddy fields contribute substantially to greenhouse gas emissions through methane(CH_(4))and nitrous oxide(N_(2)O)releases.Aromatic rice cultivation practices have been optimized to enhance the aroma,so the relationship between its cultivation and greenhouse gas emissions from paddy fields is unclear.To investigate how aroma-enhancing cultivation practices drive microbial community dynamics in aromatic rice paddies and their implications for greenhouse gas emissions,a two-year experiment in five ecological locations(Xingning,Nanxiong,Conghua,Luoding,and Zengcheng)compared two farming practices:partial organic substitution for inorganic fertilizers combined with water-saving irrigation(IOF+W)and traditional cultivation(CK).The CH_(4)and N_(2)O emissions,soil microbial composition and function,global warming potential(GWP),nitrogen use efficiency,yield,and the content of 2-acetyl-1-pyrroline(2-AP)were measured and analyzed.The main purpose was to investigate the impact of IOF+W on CH_(4)and N_(2)O emissions and their relationship with soil microorganisms.The results showed that IOF+W significantly reduced CH_(4)emission fluxes and totals(36.95%)and GWP(31.29%),while significantly increasing N_(2)O emission fluxes and totals(14.82%).The soil microbial community structure was reshaped by the IOF+W treatment,which suppressed methanogens but enhanced the abundances of nitrifying and denitrifying bacteria.Key enzymatic activities involved in CH_(4)production,such as methyl-coenzyme M reductase,formylmethanofuran dehydrogenase,and methyltransferase,decreased.In contrast,the activity of the key CH_(4)-oxidizing enzyme methanol dehydrogenase increased.This shift led to an overall attenuation of the CH_(4)production metabolism while enhancing the CH_(4)oxidation metabolism.In addition,the activities of pivotal enzymes involved in denitrification and nitrification were improved,thus enhancing nitrogen nitrification and denitrification metabolism.Moreover,the IOF+W treatment significantly increased nitrogen use efficiency(47.83%),yield(14.77%),and 2-AP content(13.78%).Therefore,the IOF+W treatment demonstrated good efficacy as a sustainable strategy for achieving productive,green,resource-efficient,and premium-quality aromatic rice cultivation in South China.
基金supported by the National Key Research and Development Program of China(No.SQ2024YFE0102696)the Provincial Science and Technology Innovative Program for Carbon Peak and Carbon Neutrality of Jiangsu of China(No.BE2022422)supported by the TÜBITAK program BIDEB2232(No.118C250).
文摘Aquaculture ponds have emerged as a significant contributor to greenhouse gas(GHG)emissions.We measured methane(CH_(4)),carbon dioxide(CO_(2)),and nitrous oxide(N_(2)O)emissions in ponds,all located in Jiangsu Province,with different fish and management practices over an entire cycle.All ponds emitted these gases,with higher CH_(4) and N_(2)O levels during fish growth than stocking period.The highest CH_(4) and N_(2)O fluxes were found in the Crucian carp(Carassius auratus)pond with up to 16,512±3015μmol/(m^(2)·h)and 5.54±0.31μmol/(m^(2)·h),respectively.CH_(4) was the primary contributor to the global warming potential in traditional earthen ponds,accounting for an average contribution rate of 87.7%.The dissolved oxygen(DO)concentration was the water quality parameter that most significantly influenced the CO_(2)flux,while pH acted as its primary regulator.The GHG emission intensity per unit of fish production in traditional earthen ponds was 197 times higher than that in-pond raceway systems.Largemouth bass(Micropterus salmoides)and Crucian carp ponds exhibited CH_(4) diffusion fluxes at the sediment-water interface,which were>20 times higher than those at the water-air interface.Our results further suggest that stocking density and feed amount significantly influence the variations in GHG emissions among the ponds with the in-pond raceway system having low carbon emissions and being high yield aquaculture system compared to traditional earthen ponds.The water depth and DO concentration can be manipulated to reduce GHG emissions across the various interfaces.
基金supported by the Ministry of Trade,Industry,and Energy(MOTIE)[Grant number 20016789]the Korea Institute of Industrial Technology(UR-25-0008).
文摘This study investigated the efficient conversion of greenhouse gases(GHGs),CO_(2)and CH_(4)mixtures,into few-walled carbon nanotubes(FWCNTs)through an optimized single-step and dual-step chemical vapor deposition(CVD)process.In the single-step process for directly synthesizing FWCNTs from greenhouse gases,CO_(2)concentration,gas flowrates,and H_(2)addition were identified as factors influencing the growth of FWCNTs.It was demonstrated that minimizing the amounts of CO_(2)and H_(2)was essential for achieving complete CO_(2)conversion because CO_(2)acts as an oxidizing agent that hinders CNT growth,while an excess of H_(2)disrupts the chemical equilibrium of the CO_(2)conversion reaction,leading to side reactions that suppress FWCNTs formation.To overcome these limitations,a dual-step approach incorporating sequential catalytic reactions was developed.In the first step,the Ni/SiO_(2)catalyst was utilized to facilitate CO_(2)methanation,reducing CO_(2)amounts while generating CH_(4)-rich gas.In the second step,CH_(4)pyrolysis was performed over the FeMo/MgO catalyst,enabling the growth of high-quality FWCNTs.This sequential configuration successfully synthesized FWCNTs under conditions previously unattainable in the single-step process,validating the effectiveness of the dual-step design.The strategic optimization of process parameters and sequential catalytic reactions established a viable route for converting GHGs into valuable FWCNTs.
基金2024 Science and Technology Commissioner Service Group's Emergency Science and Technology Research Project for Wind Disaster Relief in Hainan Province(ZDYF2024YJGG002-8)China Huaneng Group Co.,Ltd.Headquarters Technology Project,Optimization of Photovoltaic Vegetable Greenhouse Structure and Research on Planting Agronomy in Tropical Regions(HNKJ22-HF77)。
文摘In the tropical regions represented by Hainan,there are abundant solar and thermal resources,and it is relatively suitable for the construction of photovoltaic greenhouse(PVG).However,the construction of PVG still relies mainly on experience and is incapable of quantifying the balance between the photovoltaic(PV)generation and the light requirements for agricultural production.As a result,actual PVGs are primarily PV-based,without carefully considering the needs of agricultural daylighting.To quantify the influence of the design parameters of PVGs and the layout of PV panels on the internal daylighting of serrated PVGs,and to optimize the daylighting design of the roof,this paper utilizes the Design Builder software to establish gradient models for a multi-span serrated-type PVG in tropical regions.Gradient models were established in terms of aspects,namely span,width of longitudinal/transverse daylighting strip,height,roof angle,and photovoltaic panel coverage rate(PCR).Daylighting in the greenhouse of each gradient model was simulated,and with the annual average daily light integral(A_(DLI))and distribution uniformity(DU)as evaluation indicators,the influence of various design parameters on the daylighting inside the greenhouse was quantified.The result reveals that:(1)PCR is the decisive indicator for daylighting in the PVG,and a function between PCR and the A_(DLI) is derived as A_(DLI)=-15.5 PCR+16.841;(2)Increasing the width of longitudinal daylighting strip significantly improves the A_(DLI) and enhances DU while increasing the span has a noticeable effect on improving A_(DLI) but does not significantly enhance DU;(3)Increasing the eave height without changing PCR does not enhance A_(DLI) but effectively improves DU;increasing the transverse daylighting strip and adjusting the roof angle hardly improves A_(DLI).In summary,it is recommended that the optimal span for PVGs in tropical regions be set within the range of 6.5-8.0m,and the eave height be set within the range of 2.5-3.5m.Preferably,the longitudinal daylighting strip with a width ranging from 0.5-0.8m should be installed.Based on the above relationship function,the PCR can be calculated according to the appropriate light demand for the cultivated crops.The daylighting design theory proposed in this paper can provide a theoretical basis and reference for the healthy development of the PV industry in tropical regions.
文摘Accurately predicting environmental parameters in solar greenhouses is crucial for achieving precise environmental control.In solar greenhouses,temperature,humidity,and light intensity are crucial environmental parameters.The monitoring platform collected data on the internal environment of the solar greenhouse for one year,including temperature,humidity,and light intensity.Additionally,meteorological data,comprising outdoor temperature,outdoor humidity,and outdoor light intensity,was gathered during the same time frame.The characteristics and interrelationships among these parameters were investigated by a thorough analysis.The analysis revealed that environmental parameters in solar greenhouses displayed characteristics such as temporal variability,non-linearity,and periodicity.These parameters exhibited complex coupling relationships.Notably,these characteristics and coupling relationships exhibited pronounced seasonal variations.The multi-parameter multi-step prediction model for solar greenhouse(MPMS-SGH)was introduced,aiming to accurately predict three key greenhouse environmental parameters,and the model had certain seasonal adaptability.MPMS-SGH was structured with multiple layers,including an input layer,a preprocessing layer,a feature extraction layer,and a prediction layer.The input layer was used to generate the original sequence matrix,which included indoor temperature,indoor humidity,indoor light intensity,as well as outdoor temperature and outdoor light intensity.Then the preprocessing layer normalized,decomposed,and positionally encoded the original sequence matrix.In the feature extraction layer,the time attention mechanism and frequency attention mechanism were used to extract features from the trend component and the seasonal component,respectively.Finally,the prediction layer used a multi-layer perceptron to perform multi-step prediction of indoor environmental parameters(i.e.temperature,humidity,and light intensity).The parameter selection experiment evaluated the predictive performance of MPMS-SGH on input and output sequences of different lengths.The results indicated that with a constant output sequence length,the prediction accuracy of MPMS-SGH was firstly increased and then decreased with the increase of input sequence length.Specifically,when the input sequence length was 100,MPMS-SGH had the highest prediction accuracy,with RMSE of 0.22℃,0.28%,and 250lx for temperature,humidity,and light intensity,respectively.When the length of the input sequence remained constant,as the length of the output sequence increased,the accuracy of the model in predicting the three environmental parameters was continuously decreased.When the length of the output sequence exceeded 45,the prediction accuracy of MPMS-SGH was significantly decreased.In order to achieve the best balance between model size and performance,the input sequence length of MPMS-SGH was set to be 100,while the output sequence length was set to be 35.To assess MPMS-SGH’s performance,comparative experiments with four prediction models were conducted:SVR,STL-SVR,LSTM,and STL-LSTM.The results demonstrated that MPMS-SGH surpassed all other models,achieving RMSE of 0.15℃for temperature,0.38%for humidity,and 260lx for light intensity.Additionally,sequence decomposition can contribute to enhancing MPMS-SGH’s prediction performance.To further evaluate MPMS-SGH’s capabilities,its prediction accuracy was tested across different seasons for greenhouse environmental parameters.MPMS-SGH had the highest accuracy in predicting indoor temperature and the lowest accuracy in predicting humidity.And the accuracy of MPMS-SGH in predicting environmental parameters of the solar greenhouse fluctuated with seasons.MPMS-SGH had the highest accuracy in predicting the temperature inside the greenhouse on sunny days in spring(R^(2)=0.91),the highest accuracy in predicting the humidity inside the greenhouse on sunny days in winter(R^(2)=0.83),and the highest accuracy in predicting the light intensity inside the greenhouse on cloudy days in autumm(R^(2)=0.89).MPMS-SGH had the lowest accuracy in predicting three environmental parameters in a sunny summer greenhouse.
基金supported by the National Key Research and Development Program of China(2021YFE0101300 and 2021YFD1901102)the project supported by the Natural Science Basic Research Plan in Shaanxi Province,China(2023-JC-YB-185)the Ningxia Key Research and Development Program,China(2023BCF01018)。
文摘Long-term mulching has improved crop yields and farmland productivity in semiarid areas,but it has also increased greenhouse gas(GHG)emissions and depleted soil fertility.Biochar application has emerged as a promising solution for addressing these issues.In this study,we investigated the effects of four biochar application rates(no biochar(N)=0 t ha^(-1),low(L)=3 t ha^(-1),medium(M)=6 t ha^(-1),and high(H)=9 t ha^(-1))under film mulching and no mulching conditions over three growing seasons.We assessed the impacts on GHG emissions,soil organic carbon sequestration(SOCS),and maize yield to evaluate the productivity and sustainability of farmland ecosystems.Our results demonstrated that mulching increased maize yield(18.68-41.80%),total fixed C in straw(23.64%),grain(28.87%),and root(46.31%)biomass,and GHG emissions(CO_(2),10.78%;N_(2)O,3.41%),while reducing SOCS(6.57%)and GHG intensity(GHGI;13.61%).Under mulching,biochar application significantly increased maize yield(10.20%),total fixed C in straw(17.97%),grain(17.69%)and root(16.75%)biomass,and SOCS(4.78%).Moreover,it reduced the GHG emissions(CO_(2),3.09%;N_(2)O,6.36%)and GHGI(12.28%).These effects correlated with the biochar addition rate,with the optimal rate being 9.0 t ha^(-1).In conclusion,biochar application reduces CO_(2) and N_(2)O emissions,enhances CH_(4) absorption,and improves maize yield under film mulching.It also improves the soil carbon fixation capacity while mitigating the warming potential,making it a promising sustainable management method for mulched farmland in semiarid areas.
基金supported by the Shenyang Municipal Science and Technology Project,China(23-409-2-03)the Liaoning Provincial Department of Science and Technology Project,China(Z20230183)the Liaoning Provincial Applied Basic Research Program,China(2022JH2/101300173).
文摘Both soil organic carbon (SOC) and iron (Fe) oxide content, among other factors, drive the formation and stability of soil aggregates.However, the mechanism of these drivers in greenhouse soil fertilized with organic fertilizer is not well understood.In a 3-year field experiment, we aimed to investigate the factors which drive the stability of soil aggregates in greenhouse soil.To explore the impact of organic fertilizer on soil aggregates, we established four treatments:no fertilization (CK);inorganic fertilizer (CF);organic fertilizer (OF);and combined application of inorganic and organic fertilizers(COF).The application of organic fertilizer significantly enhanced the stability of aggregates, that is it enhanced the mean weight diameter, geometric mean diameter and aggregate content (%) of>0.25 mm aggregate fractions.OF and COF treatments increased the concentration of SOC, especially the aliphatic-C, aromatic-C and polysaccharide-C components of SOC, particularly in>0.25 mm aggregates.Organic fertilizer application significantly increased the content of free Fe(Fed), reactive Fe (Feo), and non-crystalline Fe in both bulk soil and aggregates.Furthermore, non-crystalline Fe showed a positive correlation with SOC content in both bulk soil and aggregates.Both non-crystalline Fe and SOC were significantly positively correlated with>2 mm mean weight diameter.Overall, we believe that the increase of SOC, aromatic-C, and non-crystal ine Fe concentrations in soil after the application of organic fertilizer is the reason for improving soil aggregate stability.
基金Deanship of Scientific Research(DSR)at King Faisal University,Saudi Arabia,under project number KFU241939.
文摘In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materialized as a favorable tool for environmental remediation, indicating efficacy as an efficient sorbent substance for both inorganic and organic pollutants in environmental field. These unique properties exclude improved surface functionality, porous morphology, large specific surface area (SSA), cation exchange capacity (CEC), robust adsorption capabilities, environmental stability, and embedded micronutrients. Biochar exhibited potential characteristics for environmental oversight, greenhouse gas (GHG) emission reduction, and soil fertility improvement. This review explores the impact of fundamental factors such as retention time, pyrolysis temperature, gas flow rate, and reactor design on biochar yield and properties. Collected data revealed the various applications of biochar, ranging from waste management and construction materials to the adsorptive removal of hydrocarbon lubricants from aqueous media, contaminant immobilization, and carbon sequestration. It has played mostly a significant share in climate change mitigation and an important role in soil amendments. Biochar improves soil improvement by increasing water retention (10%–30%), carbon sequestration, soil surface functionality, and providing high surface area with chemical stability. The assessment also reports the prospects and contests associated with biochar application uses in various agriculture cropping ecosystems. Inclusive, this review highlights the multifaceted characteristics of biochar as an adjustable on top of a sustainable solution addressing greenhouse gas emission, carbon sequestration, and environmental stresses. However, further research is needed to understand its long-term impacts and optimal applications fully.
基金supported by Ningxia Key Research and Development Fund Project of China(No.2023BCF01048)the Natural Science Basic Research Plan in Shaanxi Province of China(No.2023-JC-YB-182).
文摘Global warming and nitrogen(N)deposition have a profound impact on greenhouse gas(GHG)fluxes and consequently,they also affect climate change.However,the global combined effects of warming and N addition on GHG fluxes remain to be fully understood.To address this knowledge gap,a globalmeta-analysis of 197 datasets was performed to assess the response of GHG fluxes to warming and N addition and their interactions under various climate and experimental conditions.The results indicate that warming significantly increased CO_(2)emissions,while N addition and the combined warming and N addition treatments had no impact on CO_(2)emissions.Moreover,both warming and N addition and their interactions exhibited positive effects on N_(2)O emissions.Under the combined warming and N addition treatments,warming was observed to exert a positive main effect on CO_(2)emissions,while N addition had a positive main effect on N_(2)O emissions.The interactive effects of warming and N addition exhibited antagonistic effects on CO_(2),N_(2)O,and CH_(4)emissions,with CH_(4)uptake dominated by additive effects.Furthermore,we identified biome and climate factors as the two treatments.These findings indicate that both warming and N addition substantially impact soil GHG fluxes and highlight the urgent need to investigate the influence of the combination of warming and N addition on terrestrial carbon and N cycling under ongoing global change.
文摘Chinese tomato grafting technology.As Joel Kirui transplanted tomato seedlings on his 1-hectare farmland in Nakuru County,160 km northwest of Kenya’s capital Nairobi,he recalled how proceeds from his small-scale farming helped to fund his education.
文摘In light of the increasing recognition of the necessity to evaluate and mitigate the environmental impact of human activities, the aim of this study is to assess the greenhouse gases emitted in 2022 by the Kossodo thermal power plant as a consequence of its electricity production. The specific objective was to identify the emission sources and quantify the gases generated, with the purpose of proposing effective solutions for reducing the plant’s ecological footprint. In order to achieve the objectives set out in the study, the Bilan Carbone® method was employed. Following an analysis of the plant’s activities, seven emission items were identified as requiring further investigation. The data was gathered from the plant’s activity reports, along with measurements and questionnaires distributed to employees. The data collected was subjected to processing in order to produce the sought activity data. The Bilan Carbone® V7.1 spreadsheet was employed to convert the activity data into equivalent quantities of CO2. The full assessment indicates that the majority of the power plant’s emissions come from the combustion of HFO and DDO, accounting for 96.11% of the Kossodo power plant’s total GHG emissions in 2022. The plant produced 280,585,676 kilowatt-hours (kWh), resulting in emissions of 218,492.785 ± 10,924.639 tCO2e, which yielded an emission factor of 0.78 kgCO2e/kWh for the year 2022. In order to reduce this rate, recommendations for improved energy efficiency have been issued to management and all staff.
文摘Fresh fish was the best-selling product in Xitun Supermarket in Nyingchi City,the Xizang Autonomous Region,in the second half of 2024."They were really fresh and usually sold out within half an hour,"He Mei,manager of the supermarket,said.The fish were raised by a local aquaculture farm,Nyingchi Statefarm Karma Agriculture Co.Ltd.(NSKA).
基金Supported by Hetian Prefecture Regional-Level Planning Project(20220219)。
文摘[Objectives]To improve the thermal insulation performance of solar greenhouses in winter,enhance solar energy utilization efficiency,reduce additional carbon emissions,and lower winter heating costs for greenhouses.[Methods]An active heat storage and release water bag was added inside the solar greenhouse.Comparative experiments were conducted between the experimental greenhouse K1 equipped with the heat storage water bag and the control greenhouse K2 under different winter night weather conditions.[Results]On sunny days,the maximum temperature difference between K1 and K2 was 2.3℃,and the average temperature during the water bag's heat release period increased by 2.2℃;on cloudy days,the maximum temperature difference was 2.2℃,and the average temperature increased by 2.0℃;on snowy days,the maximum temperature difference was 1.8℃,and the average temperature increased by 1.6℃.Additionally,the heat storage capacities of the water bag on sunny,cloudy,and snowy days were 491.4,453.6,and 365.4 MJ,respectively.The corresponding nighttime heat release amounts were 378,302.4,and 226.8 MJ,respectively.The corresponding heat storage-release efficiencies were 76%,66.2%,and 62%,respectively.The service life of the heat storage water bag can reach 10 years,with an annual operating cost of approximately 2500 yuan.[Conclusions]By comprehensively analyzing the initial costs,operating expenses,and cost savings rate compared to coal burning for current main energy-saving heat storage and warming equipment in solar greenhouses,this study provides reference suggestions for the promotion,application,and selection of winter heat storage and warming equipment for solar greenhouses in different regions.Users can choose to install the equipment based on the performance characteristics of the heat storage water bag and their actual needs.
基金funded by the National Natural Science Foundation of China(Grant No.72221002)the Chinese Academy of Sciences President’s International Fellowship Initiative(PIFI)(Grant No.2024VCA0001)。
文摘Agriculture is part of the food production that feeds the expanding population though it produces considerable greenhouse gas(GHG)emissions.It's crucial to balancing food security and emission reduction for a win-win scenario.However,the lack of sufficient comprehensive district-level assessments makes it difficult to determine the specific mitigation potential for agriculture emissions.In this study,we deployed the IPCC Tier 1 approach and estimated GHG at district/division level in Bangladesh from the year 2010 to 2021.We computed three primary GHG(CO_(2),N_(2)O,and CH_(4))from five sources of agriculture,namely,rice-growing CH_(4),other crops-growing N_(2)O,enteric fermentation,urea fertilizer-induced N_(2)O,and energy-related CO_(2)emissions in the 64 districts,and aggregated them into eight divisions.We observed from this study that GHG emissions in Bangladesh gradually increased from 2010 to 2021 and reached the peak(34.3 MtCO_(2)e)in 2021.Rangpur division emitted the highest amount of GHG(6.03 MtCO_(2)e in 2021)during this period.We also observed significant variations in the sources and structure of emissions within each division.Moreover,regional differences were observed in overall emissions and per capita emissions after additional spatial analysis,with per capita GHG emissions declining from 2010(1.97 t CO_(2)e)to 2021(1.90 t CO_(2)e).Findings of this regional(district/division)estimation will help stakeholders of the country to develop suitable mitigation approaches which targets particular emission sources and geographic areas.
基金Supported by China Agricultural Industry Research System(CARS-30-Z-02)Innovation Team Construction of Hebei Agricultural Industry Research System(HBCT2024160205)+2 种基金Modern Seed Industry Technology Innovation Team Project for Hot Fruit Punch(21326310D)Science and Technology Innovation Special Project of Hebei Academy of Agricultural and Forestry Sciences(2022KJCXZX-CGS-6)Fundamental Research Fund Project of Hebei Academy of Agricultural and Forestry Sciences(2025020102).
文摘[Objectives]To clarify the effects of varying potassium application rates on leaf growth and soil mineral nutrients of greenhouse peaches,and to identify the optimal potassium fertilizer dosage.[Methods]Using the greenhouse peach superior line C26-7-17 as the test material and maintaining a fixed ratio of nitrogen and phosphorus fertilizers,five potassium fertilizer treatment groups were established.The application rates of potassium sulfate were 0,67,135,202,and 269 g/plant,respectively.The regulatory effects of varying potassium application rates were analyzed by measuring leaf area,chlorophyll content,and soil mineral element content.[Results]Applying nitrogen,phosphorus,and potassium fertilizers in specific proportions increased the leaf area of greenhouse peaches,enhanced chlorophyll content,and significantly improved the soil s nutritional status.Considering the overall optimization of soil nutrients,the recommended potassium fertilizer dosage under the experimental conditions was 202 g/plant.[Conclusions]This study offers theoretical insights that may enhance the quality and efficiency of greenhouse peaches,as well as inform nutrient management strategies.
文摘With the increasingly serious environmental problems,the use of sustainable materials is particularly important.This study focuses on the greenhouse gas emissions and economic costs of wood over its life cycle as a sustainable resource.We use a systematic life cycle assessment(LCA)approach to assess the entire process from raw material collection,processing,use to disposal.The study found that using wood can significantly reduce greenhouse gas emissions compared to traditional building materials such as steel and concrete.In addition,although the initial procurement costs of wood may be higher,its maintenance costs are lower in the long run,making the life cycle costs generally more economical.The results of this study highlight the environmental and economic advantages of wood in the selection of sustainable building materials,and provide a scientific basis for promoting the use of wood.
文摘A numerical study analyzed double diffusion caused by convective and radiative heat transfer in a greenhouse with and without internal humidity sources.Two cases were examined:one considering temperature and mass concentration gradients on vertical walls and another incorporating internal humidity sources,enhancing convective and diffusive flows.Four configurations were analyzed by varying the length of the greenhouse,and the Rayleigh number was calculated over a range from 2.29×10^(10) to 6.07×10^(12).Simulations modeled the greenhouse interior six times a day(8:00 a.m.to 7:00 p.m.),accounting for external temperature,humidity,and solar radiation.The Finite Volume Method solved the governing equations using the k-εturbulence model for the turbulent flow regime.Results showed a maximum temperature of 50℃ at 2:50 p.m.and a relative humidity of 84.12%.Adjusting inlet temperature and humidity effectively mitigated external weather effects.Adding humidity sources improved greenhouse performance,increasing humidity concentration by 4.93 to 5.35 times,particularly at 2:50 and 4:20 p.m.Convective and radiative Nusselt and Sherwood numbers were plotted for both cases,revealing higher humidity levels with internal sources,highlighting their importance in optimizing greenhouse microclimates.
基金support of the Paraíba State Research Foundation(FAPESQ)(call No.09/2021)National Council for Scientific and Technological Development(CNPq Productivity Grants 309452/2021-0,308753/2021-6)+1 种基金Scientific Initiation Scholarships(PIBIC)within the Federal University of Paraíba(UFPB)Silvia Guillén Lambea thanks Grant RYC2021-034265-I funded by MCIN/AEI/10.13039/501100011033 and by“European Union Next Generation EU/PRTR”。
文摘The application of different coatings on solar photovoltaic(PV)panels can be an efficient solution to increase performance and further mitigate the emission of greenhouse gases.This study uses the Life Cycle Assessment(LCA)methodology and the environmental payback concept to analyze the effects of the application of a nano-silica coating on a solar PV system installed in the Brazilian Northeast.Firstly,an uncoated reference 16.4 MW PV system is designed,and the detailed inventory is presented(PV panels,supporting structure,inverters,junction boxes,cables,transportation,maintenance and operation-including the replacement of equipment).The results of the LCA quantify the greenhouse gas emissions associated with the PV system.Electricity production is estimated by technical and local climate data.Subsequently,the environmental payback time of the system is calculated,which is the time required for the PV system to offset the emissions associated with system manufacturing,operation,and disposal.This is the first Brazilian study to verify the effects of a self-cleaning coating on a solar PV system throughout its lifetime,compared to the uncoated(reference system).The original photovoltaic system emitted 22,534,773 kg CO_(2)-eq,with an environmental payback of 5 years and 1 day.When the self-cleaning coating is applied,the emissions are 21,511,317 kg CO_(2)-eq(almost 5%lower)with a payback of 4 years,1 month and 26 days.The application of self-cleaning coatings reduces the required area for installation(due to increased efficiency),and not only reduces emissions but is also aligned with global sustainability targets and contributes to the concept of sustainable and intelligent cities.
