Evaluating soil quality(SQ)is crucial for ensuring the long-term stability of restored slope ecosystems,yet selecting efficient assessment methods remains challenging.The aim of this study was to develop a targeted SQ...Evaluating soil quality(SQ)is crucial for ensuring the long-term stability of restored slope ecosystems,yet selecting efficient assessment methods remains challenging.The aim of this study was to develop a targeted SQ evaluation system to compare the differences in the effectiveness of ecological restoration methods for slopes.We analysed the characteristics of 18 soil physicochemical and biological indices within a total data set(TDS)for five restored slopes with distinct ecological restoration techniques and three untreated slopes(as the control)in Yichang,China.Principal component analysis,entropy weight method,and Norm were employed to identify a minimum data set(MDS)and four soil quality index(SQI)models,linear unweighted(SQI_(L-A)),linear weighted(SQI_(L-W)),nonlinear unweighted(SQI_(NL-A)),and nonlinear weighted(SQI_(NL-W)),were used to comprehensively evaluate the MDS-based SQ.The results revealed that(1)MDS,consisting of microbial biomass carbon(MBC),microbial biomass phosphorus(MBP),microbial biomass quotient(qMBC),catalase(CAT),and bulk density(BD),effectively characterized the SQ of the ecological restoration slopes;(2)the SQI_(NL-W)model demonstrated superior discrimination among different ecological restoration slopes,with a significantly greater coefficient of determination(R^(2)=0.881,P<0.01)than other SQI models;and(3)all five ecological restoration techniques effectively improved SQ of slope to varying degrees,elevating it from low to high levels,with the vegetative cement-soil eco-restoration&vegetation concrete eco-restoration technique demonstrating the best effect(SQI_(NL-W)=0.627).Our study developed a practical SQ evaluation system based on the validated MDS and the most suitable SQI model(SQI_(NL-W)).This system enables reliable assessment on the effectiveness of restoration techniques.展开更多
This paper proposes a multivariate data fusion based quality evaluation model for software talent cultivation.The model constructs a comprehensive ability and quality evaluation index system for college students from ...This paper proposes a multivariate data fusion based quality evaluation model for software talent cultivation.The model constructs a comprehensive ability and quality evaluation index system for college students from a perspective of engineering course,especially of software engineering.As for evaluation method,relying on the behavioral data of students during their school years,we aim to construct the evaluation model as objective as possible,effectively weakening the negative impact of personal subjective assumptions on the evaluation results.展开更多
The construction of human settlements plays a vital role in achieving sustainable development goals.With the growing population,both urban and rural planning—as well as the development of human settlements—on the Qi...The construction of human settlements plays a vital role in achieving sustainable development goals.With the growing population,both urban and rural planning—as well as the development of human settlements—on the Qinghai-Tibet Plateau in China have received increasing attention.This study proposed a comprehensive framework to assess the quality of human settlements and identify their limiting factors of Nyingchi City,southeastern Qinghai-Tibet Plateau of China.The framework integrated a region-specific evaluation system tailored to the plateau’s unique characteristics and utilized multi-source data collected through field-based questionnaires and remote sensing.Analytical methods employed include the Criteria Importance Through Intercriteria Correlation(CRITIC)weighting method,difference analysis for evaluating spatial and categorical variations,and a novel approach introduced in this study for identifying limiting factors.In August 2021,a questionnaire-based survey was conducted in the southeastern Qinghai-Tibet Plateau,yielding 823 valid responses.The average evaluation score for human settlement quality(HSQ)was(6.96±0.94),indicating that settlement conditions were approaching the satisfaction threshold.Notably,the score for the health dimension was(6.28±1.41),reflecting relatively underdeveloped health services in the region.From the perspective of spatial patterns,despite its favorable natural conditions,the HSQ in Medog County was relatively backward,reflecting uncoordinated development that warrants attention.Significant differences were observed in the perceptions of human settlements among different groups in terms of ethnicity,income,and educational background.Low ratings for income and employment conditions represented a major limitation to the local HSQ.The development of human settlements in the southeastern Qinghai-Tibet Plateau still needs further promotion due to population disparities and the challenges of creating a healthy environment in high-altitude regions.The results are valuable for improving human settlements in plateau regions,which can help make targeted policy recommendations.展开更多
Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is propose...Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.展开更多
One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the qu...One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the quality of data after this evaluation is satisfactory with the requirement of decision maker. A fuzzy neural network based research method of data quality evaluation is proposed. First, the criteria for the evaluation of data quality are selected to construct the fuzzy sets of evaluating grades, and then by using the learning ability of NN, the objective evaluation of membership is carried out, which can be used for the effective evaluation of data quality. This research has been used in the platform of ＇data report of national compulsory education outlay guarantee＇ from the Chinese Ministry of Education. This method can be used for the effective evaluation of data quality worldwide, and the data quality situation can be found out more completely, objectively, and in better time by using the method.展开更多
Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluat...Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme.展开更多
In 2012,China's first national shale gas demonstrations areas were set up in the Sichuan Basin.After 10 years'construction and practice,the giant marine shale gas area of 10×10^(12) m^(3) level is built u...In 2012,China's first national shale gas demonstrations areas were set up in the Sichuan Basin.After 10 years'construction and practice,the giant marine shale gas area of 10×10^(12) m^(3) level is built up in the Sichuan Basin,and shale gas steps into a new stage of large-scale benefit exploration and development.In order to systematically summarize the achievements in shale gas exploration and development and provide guidance and reference for the exploration and development of deep shale gas and shale oil&gas in other areas,this paper systematically summarizes the main characteristics,development models and key identification and evaluation technologies for quality reservoirs of Wufeng Formation-Longmaxi Formation shale gas by analyzing the electric property,lithofacies,reservoir parameters and microscopic porosity of key wells in the basin.And the following research results are obtained.First,biogenetic siliceous shale,calcareous shale and mixed shale are main lithofacies types in quality shale gas reservoirs,and they are formed in the environment of semi-deep and deep water continental shelf.Their lateral distribution is controlled by the paleogeomorphology and their vertical development is influenced by provenance,redox condition and paleo productivity.They are 25-90 m thick.Second,in the quality shale gas reservoirs develop organic pores,inorganic pore and microfractures(including lamina/bedding fractures),among which,organic pore is one of the main reservoir spaces and microfracture is not only indispensable reservoir space,but also production pathway.The reservoir space of shale gas is overall micro-nano pore,and macropores play an important role in shale gas enrichment.Third,three development models of quality reservoir are established,including sedimentary type,diagenesis type and reworking type.The sedimentary type is the foundation.Multiple quality reservoirs are developed in the high U/Th interval of graptolite belt at the bottom of Longmaxi Formation,and their thickness is mainly controlled by paleogeomorphology and especially greater in the depression area.The diagenesis type is divided into three forms,i.e.,syngenetic-early diagenetic rigid support,middle-late diagenetic mineral-organic matter transformation,and overpressure relief compaction.The reworking type is dominated by quality reservoirs with microfractures.Fourth,the core technologies for identifying and evaluating quality shale gas reservoir include large-size core and rock slice observation,high-accuracy rock mineral identification,experimental gas content test and simulation,SEM microscopic characterization,3D microscopic pore reconstruction,comprehensive geophysical interpretation and prediction and big data analysis.In conclusion,nearly 10 years'research and practice achievements in demonstration area construction can deepen the understanding on domestic quality shale gas reservoirs,promote the effective development of the theories and technologies related to shale gas reservoirs,improve the prediction accuracy of shale gas sweet spot zones/intervals,and expand the shale gas exploration and development achievements of demonstration areas.展开更多
BACKGROUND Mortality and cause of death data are fundamental to health policy development.Civil Registration and Vital Statistics systems are the ideal data source,but the system is still under development in Indonesi...BACKGROUND Mortality and cause of death data are fundamental to health policy development.Civil Registration and Vital Statistics systems are the ideal data source,but the system is still under development in Indonesia.A national Sample Registration System(SRS)has provided nationally representative mortality data from 128 subdistricts since 2014.Verbal autopsy(VA)is used in the SRS to obtain causes of death.The quality of VA data must be evaluated as part of the SRS data quality assessment.AIM To assess the strength of evidence used in the assignment of Ischaemic Heart Disease(IHD)as causes of death from VA.METHODS The sample frame for this study is the 4,070 deaths that had IHD assigned as the underlying cause in the SRS 2016 database.From these,400 cases were randomly selected.A data extraction form and data entry template were designed to collect relevant data about IHD from VA questionnaires.A standardised categorisation was designed to assess the strength of evidence used to infer IHD as a cause of death.A pilot test of 50 cases was carried out.IBM SPSS software was used in this study.RESULTS Strong evidence of IHD as a cause of death was assigned based on surgery for coronary heart disease,chest pain and two out of:sudden death,history of heart disease,medical diagnosis of heart disease,or terminal shortness of breath.More than half(53%)of the questionnaires contained strong evidence.For deaths outside health facilities,VA questionnaires for male deaths contained acceptable evidence in significantly higher proportions as compared to those for female deaths.(P<0.001).Nearly half of all IHD deaths were concentrated in the 50-69 year age group(48.40%),and a further 36.10%were aged 70 years or more.Nearly two-thirds of the deceased were male(58.40%).Smoking behaviour was found in 44.11%of IHD deaths,but this figure was 73.82%among males.CONCLUSION More than half of the VA questionnaires from the study sample were found to contain strong evidence to infer IHD as the cause of death.Results from medical records such as electrocardiograms,coronary angiographies,and load tests could have improved the strength of evidence and contributed to IHD cause of death diagnosis.展开更多
Preserving the soil quality of the siltated back area in the lower reaches of the Yellow River Basin is the key to the sustainable ecological development of the Yellow River Basin.Soil quality has gradually become an ...Preserving the soil quality of the siltated back area in the lower reaches of the Yellow River Basin is the key to the sustainable ecological development of the Yellow River Basin.Soil quality has gradually become an important part of the ecological landscape construction,so the evaluation of soil quality in the lower reaches of the Yellow River is helpful for the rational utilization of soil resources,and can effectively guide the actual development and construction of the silt back area.After collecting the siltated soil under three different utilization modes in the Gaoqing County section of the lower reaches of the Yellow River Basin,16 soil physical and chemical properties were used as evaluation indexes.The principal component analysis method was used to combine the correlations between the indexes,and the suitable soil indexes were selected to establish a minimum data set for comprehensively evaluating the soil quality of the silt back soil.The results show three key aspects of this system.(1)The minimum dataset for the quality evaluation of siltated soil in the siltation area of the lower reaches of the Yellow River comprised six indexes:capillary water holding capacity,available phosphorus,water content,water-stable macroaggregate content,available potassium and alkaline hydrolyzable nitrogen.The soil quality index SQi-MDS was 0.421,the overall soil quality level was low,and the soil nutrient content was generally"nitrogen deficiency and potassium deficiency".(2)The linear fiting R^(2)=0.82737 between the full dataset and the minimum dataset indicated a positive correlation,so the minimum dataset can accurately evaluate the quality of the soil in the silt back area.(3)The soil quality index values of bare land,forest land and cultivated land were 0.321,0.581 and 0.360,respectively,with the highest soil quality in forest land and the lowest soil quality in bare land.The findings of this paper can provide a theoretical basis and reference for the rational utilization and sustainable development of sedimentary soil in the lower reaches of the Yellow River.展开更多
基金supported by the fund project of the Key Laboratory of Geological Hazards on Three Gorges Reservoir Area(China Three Gorges University),Hubei Province,China(Grant No.2023KDZ12)Hubei Provincial Engineering Research Center of Slope Habitat Construction Technique Using Cement-based Materials(China Three Gorges University),Hubei Province,China(Grant No.2022SNJ04).
文摘Evaluating soil quality(SQ)is crucial for ensuring the long-term stability of restored slope ecosystems,yet selecting efficient assessment methods remains challenging.The aim of this study was to develop a targeted SQ evaluation system to compare the differences in the effectiveness of ecological restoration methods for slopes.We analysed the characteristics of 18 soil physicochemical and biological indices within a total data set(TDS)for five restored slopes with distinct ecological restoration techniques and three untreated slopes(as the control)in Yichang,China.Principal component analysis,entropy weight method,and Norm were employed to identify a minimum data set(MDS)and four soil quality index(SQI)models,linear unweighted(SQI_(L-A)),linear weighted(SQI_(L-W)),nonlinear unweighted(SQI_(NL-A)),and nonlinear weighted(SQI_(NL-W)),were used to comprehensively evaluate the MDS-based SQ.The results revealed that(1)MDS,consisting of microbial biomass carbon(MBC),microbial biomass phosphorus(MBP),microbial biomass quotient(qMBC),catalase(CAT),and bulk density(BD),effectively characterized the SQ of the ecological restoration slopes;(2)the SQI_(NL-W)model demonstrated superior discrimination among different ecological restoration slopes,with a significantly greater coefficient of determination(R^(2)=0.881,P<0.01)than other SQI models;and(3)all five ecological restoration techniques effectively improved SQ of slope to varying degrees,elevating it from low to high levels,with the vegetative cement-soil eco-restoration&vegetation concrete eco-restoration technique demonstrating the best effect(SQI_(NL-W)=0.627).Our study developed a practical SQ evaluation system based on the validated MDS and the most suitable SQI model(SQI_(NL-W)).This system enables reliable assessment on the effectiveness of restoration techniques.
基金supported in part by the Education Reform Key Projects of Heilongjiang Province(Grant No.SJGZ20220011,SJGZ20220012)the Excellent Project of Ministry of Education and China Higher Education Association on Digital Ideological and Political Education in Universities(Grant No.GXSZSZJPXM001)。
文摘This paper proposes a multivariate data fusion based quality evaluation model for software talent cultivation.The model constructs a comprehensive ability and quality evaluation index system for college students from a perspective of engineering course,especially of software engineering.As for evaluation method,relying on the behavioral data of students during their school years,we aim to construct the evaluation model as objective as possible,effectively weakening the negative impact of personal subjective assumptions on the evaluation results.
基金Under the auspices of the Second Tibetan Plateau Scientific Expedition and Research Program(STEP,No.2019QZKK0608)。
文摘The construction of human settlements plays a vital role in achieving sustainable development goals.With the growing population,both urban and rural planning—as well as the development of human settlements—on the Qinghai-Tibet Plateau in China have received increasing attention.This study proposed a comprehensive framework to assess the quality of human settlements and identify their limiting factors of Nyingchi City,southeastern Qinghai-Tibet Plateau of China.The framework integrated a region-specific evaluation system tailored to the plateau’s unique characteristics and utilized multi-source data collected through field-based questionnaires and remote sensing.Analytical methods employed include the Criteria Importance Through Intercriteria Correlation(CRITIC)weighting method,difference analysis for evaluating spatial and categorical variations,and a novel approach introduced in this study for identifying limiting factors.In August 2021,a questionnaire-based survey was conducted in the southeastern Qinghai-Tibet Plateau,yielding 823 valid responses.The average evaluation score for human settlement quality(HSQ)was(6.96±0.94),indicating that settlement conditions were approaching the satisfaction threshold.Notably,the score for the health dimension was(6.28±1.41),reflecting relatively underdeveloped health services in the region.From the perspective of spatial patterns,despite its favorable natural conditions,the HSQ in Medog County was relatively backward,reflecting uncoordinated development that warrants attention.Significant differences were observed in the perceptions of human settlements among different groups in terms of ethnicity,income,and educational background.Low ratings for income and employment conditions represented a major limitation to the local HSQ.The development of human settlements in the southeastern Qinghai-Tibet Plateau still needs further promotion due to population disparities and the challenges of creating a healthy environment in high-altitude regions.The results are valuable for improving human settlements in plateau regions,which can help make targeted policy recommendations.
文摘Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.
基金the National Natural Science Foundation of China (60503024 50634010).
文摘One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the quality of data after this evaluation is satisfactory with the requirement of decision maker. A fuzzy neural network based research method of data quality evaluation is proposed. First, the criteria for the evaluation of data quality are selected to construct the fuzzy sets of evaluating grades, and then by using the learning ability of NN, the objective evaluation of membership is carried out, which can be used for the effective evaluation of data quality. This research has been used in the platform of ＇data report of national compulsory education outlay guarantee＇ from the Chinese Ministry of Education. This method can be used for the effective evaluation of data quality worldwide, and the data quality situation can be found out more completely, objectively, and in better time by using the method.
基金supported by the Chinese 863 Plan Program under Grant 2012AA121504
文摘Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme.
文摘In 2012,China's first national shale gas demonstrations areas were set up in the Sichuan Basin.After 10 years'construction and practice,the giant marine shale gas area of 10×10^(12) m^(3) level is built up in the Sichuan Basin,and shale gas steps into a new stage of large-scale benefit exploration and development.In order to systematically summarize the achievements in shale gas exploration and development and provide guidance and reference for the exploration and development of deep shale gas and shale oil&gas in other areas,this paper systematically summarizes the main characteristics,development models and key identification and evaluation technologies for quality reservoirs of Wufeng Formation-Longmaxi Formation shale gas by analyzing the electric property,lithofacies,reservoir parameters and microscopic porosity of key wells in the basin.And the following research results are obtained.First,biogenetic siliceous shale,calcareous shale and mixed shale are main lithofacies types in quality shale gas reservoirs,and they are formed in the environment of semi-deep and deep water continental shelf.Their lateral distribution is controlled by the paleogeomorphology and their vertical development is influenced by provenance,redox condition and paleo productivity.They are 25-90 m thick.Second,in the quality shale gas reservoirs develop organic pores,inorganic pore and microfractures(including lamina/bedding fractures),among which,organic pore is one of the main reservoir spaces and microfracture is not only indispensable reservoir space,but also production pathway.The reservoir space of shale gas is overall micro-nano pore,and macropores play an important role in shale gas enrichment.Third,three development models of quality reservoir are established,including sedimentary type,diagenesis type and reworking type.The sedimentary type is the foundation.Multiple quality reservoirs are developed in the high U/Th interval of graptolite belt at the bottom of Longmaxi Formation,and their thickness is mainly controlled by paleogeomorphology and especially greater in the depression area.The diagenesis type is divided into three forms,i.e.,syngenetic-early diagenetic rigid support,middle-late diagenetic mineral-organic matter transformation,and overpressure relief compaction.The reworking type is dominated by quality reservoirs with microfractures.Fourth,the core technologies for identifying and evaluating quality shale gas reservoir include large-size core and rock slice observation,high-accuracy rock mineral identification,experimental gas content test and simulation,SEM microscopic characterization,3D microscopic pore reconstruction,comprehensive geophysical interpretation and prediction and big data analysis.In conclusion,nearly 10 years'research and practice achievements in demonstration area construction can deepen the understanding on domestic quality shale gas reservoirs,promote the effective development of the theories and technologies related to shale gas reservoirs,improve the prediction accuracy of shale gas sweet spot zones/intervals,and expand the shale gas exploration and development achievements of demonstration areas.
基金Supported by the Department of Foreign Affairs and Trade,Australian Government,under the Government Partnership for Development program,No.70856
文摘BACKGROUND Mortality and cause of death data are fundamental to health policy development.Civil Registration and Vital Statistics systems are the ideal data source,but the system is still under development in Indonesia.A national Sample Registration System(SRS)has provided nationally representative mortality data from 128 subdistricts since 2014.Verbal autopsy(VA)is used in the SRS to obtain causes of death.The quality of VA data must be evaluated as part of the SRS data quality assessment.AIM To assess the strength of evidence used in the assignment of Ischaemic Heart Disease(IHD)as causes of death from VA.METHODS The sample frame for this study is the 4,070 deaths that had IHD assigned as the underlying cause in the SRS 2016 database.From these,400 cases were randomly selected.A data extraction form and data entry template were designed to collect relevant data about IHD from VA questionnaires.A standardised categorisation was designed to assess the strength of evidence used to infer IHD as a cause of death.A pilot test of 50 cases was carried out.IBM SPSS software was used in this study.RESULTS Strong evidence of IHD as a cause of death was assigned based on surgery for coronary heart disease,chest pain and two out of:sudden death,history of heart disease,medical diagnosis of heart disease,or terminal shortness of breath.More than half(53%)of the questionnaires contained strong evidence.For deaths outside health facilities,VA questionnaires for male deaths contained acceptable evidence in significantly higher proportions as compared to those for female deaths.(P<0.001).Nearly half of all IHD deaths were concentrated in the 50-69 year age group(48.40%),and a further 36.10%were aged 70 years or more.Nearly two-thirds of the deceased were male(58.40%).Smoking behaviour was found in 44.11%of IHD deaths,but this figure was 73.82%among males.CONCLUSION More than half of the VA questionnaires from the study sample were found to contain strong evidence to infer IHD as the cause of death.Results from medical records such as electrocardiograms,coronary angiographies,and load tests could have improved the strength of evidence and contributed to IHD cause of death diagnosis.
基金The Project of China Coal Geology Group Co.,Ltd.(2023HXFWSBXY005)。
文摘Preserving the soil quality of the siltated back area in the lower reaches of the Yellow River Basin is the key to the sustainable ecological development of the Yellow River Basin.Soil quality has gradually become an important part of the ecological landscape construction,so the evaluation of soil quality in the lower reaches of the Yellow River is helpful for the rational utilization of soil resources,and can effectively guide the actual development and construction of the silt back area.After collecting the siltated soil under three different utilization modes in the Gaoqing County section of the lower reaches of the Yellow River Basin,16 soil physical and chemical properties were used as evaluation indexes.The principal component analysis method was used to combine the correlations between the indexes,and the suitable soil indexes were selected to establish a minimum data set for comprehensively evaluating the soil quality of the silt back soil.The results show three key aspects of this system.(1)The minimum dataset for the quality evaluation of siltated soil in the siltation area of the lower reaches of the Yellow River comprised six indexes:capillary water holding capacity,available phosphorus,water content,water-stable macroaggregate content,available potassium and alkaline hydrolyzable nitrogen.The soil quality index SQi-MDS was 0.421,the overall soil quality level was low,and the soil nutrient content was generally"nitrogen deficiency and potassium deficiency".(2)The linear fiting R^(2)=0.82737 between the full dataset and the minimum dataset indicated a positive correlation,so the minimum dataset can accurately evaluate the quality of the soil in the silt back area.(3)The soil quality index values of bare land,forest land and cultivated land were 0.321,0.581 and 0.360,respectively,with the highest soil quality in forest land and the lowest soil quality in bare land.The findings of this paper can provide a theoretical basis and reference for the rational utilization and sustainable development of sedimentary soil in the lower reaches of the Yellow River.
