A new membrane type Al_2O_3 micromachining material is used.We develop an environmental multi-parameter detection micro-system,which implements the detection to temperature,humidity,wind speed,and CO.The test results ...A new membrane type Al_2O_3 micromachining material is used.We develop an environmental multi-parameter detection micro-system,which implements the detection to temperature,humidity,wind speed,and CO.The test results illustrate that the heat-release unit in micro-system intercross greatly affects other sensing units on the temperature.We study the method of etching process,which formed cavity to reduce the heat exchange efficiency and decrease temperature intercross effect.展开更多
Increasing demand for water from all sectors presents a challenge for policy makers to improve water allocation policies for storage reservoirs. In addition, there are many other organisms and species present in river...Increasing demand for water from all sectors presents a challenge for policy makers to improve water allocation policies for storage reservoirs. In addition, there are many other organisms and species present in river waters that also require water for their survival. Due to the lack of awareness many times the minimum required quantity and quality of water for river ecosystem is not made available at downstream of storage reservoirs. So, a sustainable approach is required in reservoir operations to maintain the river ecosystem with environmental flow while meeting the other demands. Multi-objective, multi-reservoir operation model developed with Python programming using Fuzzy Linear Programing method incorporating environmental flow requirement of river is presented in this paper. Objective of maximization of irrigation release is considered for first run. In second run maximization of releases for hydropower generation is considered as objective. Further both objectives are fuzzified by incorporating linear membership function and solved to maximize fuzzified objective function simultaneously by maximizing satisfaction level indicator (λ). The optimal reservoir operation policy is presented considering constraints including Irrigation release, Turbine release, Reservoir storage, Environmental flow release and hydrologic continuity. Model applied for multi-reservoir system consists of four reservoirs, i.e., Jayakwadi Stage-I Reservoir (R1), Jayakwadi Stage-II Reservoir (R2), Yeldari Reservoir (R3), Siddheshwar Reservoir (R4) in Godavari River sub-basin from Marathwada region of Maharashtra State, India.展开更多
In recent years, the modern methods of multi-element analysis of precious metals have attracted wide attention in scientific research and industry. The application and development in the decomposition of samples, sepa...In recent years, the modern methods of multi-element analysis of precious metals have attracted wide attention in scientific research and industry. The application and development in the decomposition of samples, separation and enrichment, and modern instrumental analysis of the platinum-group elements (PGEs) and gold in geological and environmental samples have been reviewed. Finally, the tendency of analysis of precious metals is also prospected.展开更多
Water is the soul of the world. It is the most important element for the survival of humans, animals, birds, plants and all other living things on earth. Water is essential for the beginning of life as well as regular...Water is the soul of the world. It is the most important element for the survival of humans, animals, birds, plants and all other living things on earth. Water is essential for the beginning of life as well as regular availability of water ensuring the survival, growth and overall nourishment. Thus, proper planning and use of reservoir water are essential for all. To tackle this issue different optimization techniques underline their need and importance in the reservoir operations. In the present study, multi-reservoir optimization model is developed using Python programing language considering the objective of maximization of total annual release for hydropower generation. Model is applied to 3 reservoirs from Godavari River basin from Maharashtra state India. Water essential for conservation of environment has also been made available in river as environmental flow as per the recommendations of Central Water Commission (CWC) India. Developed optimization model provides optimal monthly operation policies.展开更多
The complexity we take into account when dealing with complex issues and the way we deal with that complexity is not given or self-evident, it is framed and negotiated. Based on two environmental health decision suppo...The complexity we take into account when dealing with complex issues and the way we deal with that complexity is not given or self-evident, it is framed and negotiated. Based on two environmental health decision support case studies we address a set of key methodological choices, crucial in shaping the multi-criteria decision support and illuminate how they followed from transdisciplinary collaboration and negotiation: diversity tolerance, dealing with uncertainty and difference of opinion, weight of information and the epistemological divide between traditional closed and alternative open paradigms. The case studies exemplify the growing conviction amongst methodologists that, especially regarding complex issues, best methods do not exist as such: methods are chosen and tailored in practice and the quality to a large extent is dependent on the process in which methodological development is embedded. We hope to contribute to making explicit the importance of methodological decision making regarding environmental health complexity.展开更多
A reference point based multi-objective optimization using a combination between trust region (TR) algorithm and particle swarm optimization (PSO) to solve the multi-objective environmental/economic dispatch (EED) pro...A reference point based multi-objective optimization using a combination between trust region (TR) algorithm and particle swarm optimization (PSO) to solve the multi-objective environmental/economic dispatch (EED) problem is presented in this paper. The EED problem is handled by Reference Point Interactive Approach. One of the main advantages of the proposed approach is integrating the merits of both TR and PSO, where TR has provided the initial set (close to the Pareto set as possible and the reference point of the decision maker) followed by PSO to improve the quality of the solutions and get all the points on the Pareto frontier. The performance of the proposed algorithm is tested on standard IEEE 30-bus 6-genrator test system and is compared with conventional methods. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal non-dominated solutions in one single run. The comparison with the classical methods demonstrates the superiority of the proposed approach and confirms its potential to solve the multi-objective EED problem.展开更多
In Niger, a landlocked country, sorghum is the second staple food cultivated over the country by smallholder farmer. The crop is important for human and animal consumption. Despite its importance, the crop is affected...In Niger, a landlocked country, sorghum is the second staple food cultivated over the country by smallholder farmer. The crop is important for human and animal consumption. Despite its importance, the crop is affected by biotic and abiotic constraints. Among those constraints, striga has a high impact on yield. In fact, to survive, farmers are growing their local preferred sorghum varieties wish is highly sensible to the weed. Striga management is a challenge that requires a permanent solution. In addition, the development of high-yielding Striga resistant genotypes will be appreciated by farmers. The development of striga resistance will be based on the breeding population performances under farmer’s diverse environmental conditions adaptation. The main objective of this study is to evaluate two breeding populations for striga resistance in two different environments at Boulke and Dibissou in Tahoua region, to identify the early and high-yielding striga tolerant genotypes under natural infestation.展开更多
在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变...在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变量的碳排放-成本双目标优化模型,系统优化预制构件的选择与组合;其次,采用非支配排序的鲸鱼优化算法(Non-Dominated Sorting Whale Optimization Algorithm,NSWOA)对构件组合方案进行求解,获得Pareto均衡解集;再次,通过博弈论思想融合主客观权重,并采用优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对Pareto均衡解集进行科学决策,得到最佳构件组合方案;最后,以某西部装配式铁路桥梁为例开展实证分析。结果显示:优化方案较初始方案碳排放减少了361.66 t,成本减少了213.06万元。此外,预制率情景分析显示,不同的桥梁预制率对应不同的最佳构件组合,且碳排放与成本随预制率变化呈现不同趋势。研究成果可为装配式铁路桥梁低碳施工提供有效的优化策略。展开更多
为提升设施农业的环境感知与预警能力,同时兼顾连续可靠与成本可控,以Arduino UNO R 3为主控,构建了多模态感知与预警平台。集成温湿度和光照等多传感器,电路系统采用三层叠板结构,上位机实现阈值警告与可视化操作界面。基于能量守恒与...为提升设施农业的环境感知与预警能力,同时兼顾连续可靠与成本可控,以Arduino UNO R 3为主控,构建了多模态感知与预警平台。集成温湿度和光照等多传感器,电路系统采用三层叠板结构,上位机实现阈值警告与可视化操作界面。基于能量守恒与水汽守恒提出名义预测环境模型,并结合辐照度分解、传热与换气,推导出温室参数的名义解析表达,并在六个经纬度测试点采集多组数据进行工况验证。实验结果表明,在五档通风条件下,光照校准共180组样本,回归斜率接近1%;温湿度实测与模型预测高度吻合,通风增强可将稳态温升由56—64℃区间显著拉低,并将相对湿度稳定在约35%—50%RH之间;多模态联动测试中,火焰、超声、CO_(2)与可燃气体通道的响应灵敏度分别为99%、89%、95%、91%,实现了从透过辐射到室内多模态响应的闭环集成,为面向不同温室环境测量的推广与应用提供了可行的技术路径。展开更多
文摘A new membrane type Al_2O_3 micromachining material is used.We develop an environmental multi-parameter detection micro-system,which implements the detection to temperature,humidity,wind speed,and CO.The test results illustrate that the heat-release unit in micro-system intercross greatly affects other sensing units on the temperature.We study the method of etching process,which formed cavity to reduce the heat exchange efficiency and decrease temperature intercross effect.
文摘Increasing demand for water from all sectors presents a challenge for policy makers to improve water allocation policies for storage reservoirs. In addition, there are many other organisms and species present in river waters that also require water for their survival. Due to the lack of awareness many times the minimum required quantity and quality of water for river ecosystem is not made available at downstream of storage reservoirs. So, a sustainable approach is required in reservoir operations to maintain the river ecosystem with environmental flow while meeting the other demands. Multi-objective, multi-reservoir operation model developed with Python programming using Fuzzy Linear Programing method incorporating environmental flow requirement of river is presented in this paper. Objective of maximization of irrigation release is considered for first run. In second run maximization of releases for hydropower generation is considered as objective. Further both objectives are fuzzified by incorporating linear membership function and solved to maximize fuzzified objective function simultaneously by maximizing satisfaction level indicator (λ). The optimal reservoir operation policy is presented considering constraints including Irrigation release, Turbine release, Reservoir storage, Environmental flow release and hydrologic continuity. Model applied for multi-reservoir system consists of four reservoirs, i.e., Jayakwadi Stage-I Reservoir (R1), Jayakwadi Stage-II Reservoir (R2), Yeldari Reservoir (R3), Siddheshwar Reservoir (R4) in Godavari River sub-basin from Marathwada region of Maharashtra State, India.
文摘In recent years, the modern methods of multi-element analysis of precious metals have attracted wide attention in scientific research and industry. The application and development in the decomposition of samples, separation and enrichment, and modern instrumental analysis of the platinum-group elements (PGEs) and gold in geological and environmental samples have been reviewed. Finally, the tendency of analysis of precious metals is also prospected.
文摘Water is the soul of the world. It is the most important element for the survival of humans, animals, birds, plants and all other living things on earth. Water is essential for the beginning of life as well as regular availability of water ensuring the survival, growth and overall nourishment. Thus, proper planning and use of reservoir water are essential for all. To tackle this issue different optimization techniques underline their need and importance in the reservoir operations. In the present study, multi-reservoir optimization model is developed using Python programing language considering the objective of maximization of total annual release for hydropower generation. Model is applied to 3 reservoirs from Godavari River basin from Maharashtra state India. Water essential for conservation of environment has also been made available in river as environmental flow as per the recommendations of Central Water Commission (CWC) India. Developed optimization model provides optimal monthly operation policies.
文摘The complexity we take into account when dealing with complex issues and the way we deal with that complexity is not given or self-evident, it is framed and negotiated. Based on two environmental health decision support case studies we address a set of key methodological choices, crucial in shaping the multi-criteria decision support and illuminate how they followed from transdisciplinary collaboration and negotiation: diversity tolerance, dealing with uncertainty and difference of opinion, weight of information and the epistemological divide between traditional closed and alternative open paradigms. The case studies exemplify the growing conviction amongst methodologists that, especially regarding complex issues, best methods do not exist as such: methods are chosen and tailored in practice and the quality to a large extent is dependent on the process in which methodological development is embedded. We hope to contribute to making explicit the importance of methodological decision making regarding environmental health complexity.
文摘A reference point based multi-objective optimization using a combination between trust region (TR) algorithm and particle swarm optimization (PSO) to solve the multi-objective environmental/economic dispatch (EED) problem is presented in this paper. The EED problem is handled by Reference Point Interactive Approach. One of the main advantages of the proposed approach is integrating the merits of both TR and PSO, where TR has provided the initial set (close to the Pareto set as possible and the reference point of the decision maker) followed by PSO to improve the quality of the solutions and get all the points on the Pareto frontier. The performance of the proposed algorithm is tested on standard IEEE 30-bus 6-genrator test system and is compared with conventional methods. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal non-dominated solutions in one single run. The comparison with the classical methods demonstrates the superiority of the proposed approach and confirms its potential to solve the multi-objective EED problem.
文摘In Niger, a landlocked country, sorghum is the second staple food cultivated over the country by smallholder farmer. The crop is important for human and animal consumption. Despite its importance, the crop is affected by biotic and abiotic constraints. Among those constraints, striga has a high impact on yield. In fact, to survive, farmers are growing their local preferred sorghum varieties wish is highly sensible to the weed. Striga management is a challenge that requires a permanent solution. In addition, the development of high-yielding Striga resistant genotypes will be appreciated by farmers. The development of striga resistance will be based on the breeding population performances under farmer’s diverse environmental conditions adaptation. The main objective of this study is to evaluate two breeding populations for striga resistance in two different environments at Boulke and Dibissou in Tahoua region, to identify the early and high-yielding striga tolerant genotypes under natural infestation.
文摘在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变量的碳排放-成本双目标优化模型,系统优化预制构件的选择与组合;其次,采用非支配排序的鲸鱼优化算法(Non-Dominated Sorting Whale Optimization Algorithm,NSWOA)对构件组合方案进行求解,获得Pareto均衡解集;再次,通过博弈论思想融合主客观权重,并采用优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对Pareto均衡解集进行科学决策,得到最佳构件组合方案;最后,以某西部装配式铁路桥梁为例开展实证分析。结果显示:优化方案较初始方案碳排放减少了361.66 t,成本减少了213.06万元。此外,预制率情景分析显示,不同的桥梁预制率对应不同的最佳构件组合,且碳排放与成本随预制率变化呈现不同趋势。研究成果可为装配式铁路桥梁低碳施工提供有效的优化策略。
文摘为提升设施农业的环境感知与预警能力,同时兼顾连续可靠与成本可控,以Arduino UNO R 3为主控,构建了多模态感知与预警平台。集成温湿度和光照等多传感器,电路系统采用三层叠板结构,上位机实现阈值警告与可视化操作界面。基于能量守恒与水汽守恒提出名义预测环境模型,并结合辐照度分解、传热与换气,推导出温室参数的名义解析表达,并在六个经纬度测试点采集多组数据进行工况验证。实验结果表明,在五档通风条件下,光照校准共180组样本,回归斜率接近1%;温湿度实测与模型预测高度吻合,通风增强可将稳态温升由56—64℃区间显著拉低,并将相对湿度稳定在约35%—50%RH之间;多模态联动测试中,火焰、超声、CO_(2)与可燃气体通道的响应灵敏度分别为99%、89%、95%、91%,实现了从透过辐射到室内多模态响应的闭环集成,为面向不同温室环境测量的推广与应用提供了可行的技术路径。
