首页 > 最新文献

Journal of Water Supply Research and Technology-aqua最新文献

英文 中文
Evaluation of the willingness and behavior of family farm water resource financing based on the Internet of Things SEM model 基于物联网SEM模型的家庭农场水资源融资意愿与行为评价
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-27 DOI: 10.2166/ws.2023.157
Yaxin Wang, Xiongwang Zeng
At present, China's rural water resources are in short supply and the water pollution situation is severe. Family farms are an important part of China's agricultural modernization, and their development level is an important indicator to measure the degree of modernization of a country and a region. The application of agricultural Internet of Things technology in the field of agriculture is helpful for solving the problem of water shortage in family farms in water shortage areas. Based on questionnaire data, this paper used structural equation modeling (SEM) to study the relationship between family farm water financing willingness and behavior. The results showed that the standardization coefficients of Assumption 1, Assumption 2 and Assumption 3 were 0.332, 0.267 and 0.311, respectively. It can be seen that the water resource financing willingness of family farms was greatly affected by their water-saving technology ability, water management ability and government policy support. However, the standardization coefficient of Assumption 5 was 0.087. It can be seen that the water management capacity had no significant impact on the water resource financing behavior, and the water resource financing behavior of family farms was mainly affected by their water-saving technical capacity and government policy support.
目前,中国农村水资源短缺,水污染形势严峻。家庭农场是中国农业现代化的重要组成部分,其发展水平是衡量一个国家和地区现代化程度的重要标志。农业物联网技术在农业领域的应用,有助于解决缺水地区家庭农场的缺水问题。本文基于问卷调查数据,运用结构方程模型(SEM)研究了家庭农场水融资意愿与行为之间的关系。结果表明,假设1、假设2和假设3的标准化系数分别为0.332、0.267和0.311。可以看出,家庭农场的水资源融资意愿受其节水技术能力、水资源管理能力和政府政策支持的影响较大。而假设5的标准化系数为0.087。可以看出,水资源管理能力对水资源融资行为的影响不显著,家庭农场的水资源融资行为主要受节水技术能力和政府政策支持的影响。
{"title":"Evaluation of the willingness and behavior of family farm water resource financing based on the Internet of Things SEM model","authors":"Yaxin Wang, Xiongwang Zeng","doi":"10.2166/ws.2023.157","DOIUrl":"https://doi.org/10.2166/ws.2023.157","url":null,"abstract":"\u0000 At present, China's rural water resources are in short supply and the water pollution situation is severe. Family farms are an important part of China's agricultural modernization, and their development level is an important indicator to measure the degree of modernization of a country and a region. The application of agricultural Internet of Things technology in the field of agriculture is helpful for solving the problem of water shortage in family farms in water shortage areas. Based on questionnaire data, this paper used structural equation modeling (SEM) to study the relationship between family farm water financing willingness and behavior. The results showed that the standardization coefficients of Assumption 1, Assumption 2 and Assumption 3 were 0.332, 0.267 and 0.311, respectively. It can be seen that the water resource financing willingness of family farms was greatly affected by their water-saving technology ability, water management ability and government policy support. However, the standardization coefficient of Assumption 5 was 0.087. It can be seen that the water management capacity had no significant impact on the water resource financing behavior, and the water resource financing behavior of family farms was mainly affected by their water-saving technical capacity and government policy support.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74096559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of economic scenarios of water allocation using a game theory 用博弈论评价水资源分配的经济情景
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-27 DOI: 10.2166/ws.2023.156
Jiahui Jin, Xiaohong Fang
Water allocation can be evaluated from various economic, environmental, food security, and climate aspects. This paper was conducted to develop an optimal water allocation strategy with an economic framework. A game theory has been used to determine the planning structure. A cooperative technique based on the core solution, Shepley value, and Nucleolus solution has been incorporated into the decision-making system and the results of the proposed model have been calculated based on the long-term information of the downstream cropping pattern in the Zhanghe irrigation network, Hubei province, China. Five components of rice planting including growth period, yield production, water consumption, selling price, and cultivated area have been evaluated to find the optimal scenarios. Results showed that the application of the co-operative game theory can improve the economic index and water-saving potential in agriculture. Furthermore, the proposed simulation confirmed that the economic effects were important for understanding and planning for irrigation efficiency and water-saving potential.
水资源分配可以从经济、环境、粮食安全和气候等各个方面进行评估。本文旨在建立一个具有经济框架的最优水资源分配策略。一个博弈论已经被用来确定规划结构。将基于核心解、Shepley值和Nucleolus解的协同技术引入决策系统,并基于漳河灌区下游种植格局的长期信息对模型结果进行了计算。通过对水稻种植过程中生育期、产量、耗水量、销售价格、种植面积等5个要素的评价,找到了最优方案。结果表明,运用合作博弈论可以提高农业的经济指标和节水潜力。此外,所提出的模拟证实了经济效应对理解和规划灌溉效率和节水潜力的重要性。
{"title":"Evaluation of economic scenarios of water allocation using a game theory","authors":"Jiahui Jin, Xiaohong Fang","doi":"10.2166/ws.2023.156","DOIUrl":"https://doi.org/10.2166/ws.2023.156","url":null,"abstract":"\u0000 Water allocation can be evaluated from various economic, environmental, food security, and climate aspects. This paper was conducted to develop an optimal water allocation strategy with an economic framework. A game theory has been used to determine the planning structure. A cooperative technique based on the core solution, Shepley value, and Nucleolus solution has been incorporated into the decision-making system and the results of the proposed model have been calculated based on the long-term information of the downstream cropping pattern in the Zhanghe irrigation network, Hubei province, China. Five components of rice planting including growth period, yield production, water consumption, selling price, and cultivated area have been evaluated to find the optimal scenarios. Results showed that the application of the co-operative game theory can improve the economic index and water-saving potential in agriculture. Furthermore, the proposed simulation confirmed that the economic effects were important for understanding and planning for irrigation efficiency and water-saving potential.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74876929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Green algae outcompete cyanobacteria in a shallow lake, Longhu Lake 在龙湖这个浅湖中,绿藻比蓝藻更有竞争力
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-22 DOI: 10.2166/ws.2023.154
Jingjing Li, Xinyan Xiao, Xuanxuan Xian, Shuai Li, Xin Yu, Xian Zhang
Green algae are natural competitors of cyanobacteria, but we still do not know why green algae have a competitive advantage in shallow lakes. In this study, we used qPCR to quantify and monitor green algae and cyanobacteria in Longhu Lake. Our results showed that green algae were dominant in Longhu Lake, accounting for 71.80–80.31%. The temporal and spatial dynamics of green algal blooms were consistent with that of total organic nitrogen (TON), indicating that organic nitrogen may be the key trigger of green algal blooms. Nitrogen and phosphorus were excessive, and the peak of ammonia nitrogen occurred during the blooms, implying that ammonia nitrogen may be one of the important factors stimulating green algal blooms. Spearman correlation analysis and RDA analysis showed that green algae and cyanobacteria were positively correlated with water temperature, TON, and ammonia nitrogen, indicating that they have similar favorable growth conditions in Longhu Lake. Our results indicated that the combined effects of elevated water temperature, excessive nitrogen and phosphorus, non-stratification, and short water retention time could favor the competitive dominance of green algae in Longhu Lake. The findings here improve our understanding of the competition between green algae and cyanobacteria in shallow lakes.
绿藻是蓝藻的天然竞争对手,但我们仍然不知道为什么绿藻在浅湖中具有竞争优势。本研究采用qPCR技术对龙湖绿藻和蓝藻进行定量监测。结果表明:龙湖以绿藻为主,绿藻占71.80 ~ 80.31%;绿藻华的时空动态与总有机氮(TON)的时空动态一致,表明有机氮可能是绿藻华的关键触发因子。氮、磷超标,氨氮峰值出现在藻华期间,说明氨氮可能是刺激绿藻华的重要因素之一。Spearman相关分析和RDA分析显示,绿藻和蓝藻与水温、TON、氨氮均呈正相关,说明它们在龙湖具有相似的有利生长条件。结果表明,水温升高、氮磷含量过高、水体无分层、保水时间短等综合因素有利于绿藻在龙湖的竞争优势。这里的发现提高了我们对浅水湖泊中绿藻和蓝藻之间竞争的理解。
{"title":"Green algae outcompete cyanobacteria in a shallow lake, Longhu Lake","authors":"Jingjing Li, Xinyan Xiao, Xuanxuan Xian, Shuai Li, Xin Yu, Xian Zhang","doi":"10.2166/ws.2023.154","DOIUrl":"https://doi.org/10.2166/ws.2023.154","url":null,"abstract":"\u0000 \u0000 Green algae are natural competitors of cyanobacteria, but we still do not know why green algae have a competitive advantage in shallow lakes. In this study, we used qPCR to quantify and monitor green algae and cyanobacteria in Longhu Lake. Our results showed that green algae were dominant in Longhu Lake, accounting for 71.80–80.31%. The temporal and spatial dynamics of green algal blooms were consistent with that of total organic nitrogen (TON), indicating that organic nitrogen may be the key trigger of green algal blooms. Nitrogen and phosphorus were excessive, and the peak of ammonia nitrogen occurred during the blooms, implying that ammonia nitrogen may be one of the important factors stimulating green algal blooms. Spearman correlation analysis and RDA analysis showed that green algae and cyanobacteria were positively correlated with water temperature, TON, and ammonia nitrogen, indicating that they have similar favorable growth conditions in Longhu Lake. Our results indicated that the combined effects of elevated water temperature, excessive nitrogen and phosphorus, non-stratification, and short water retention time could favor the competitive dominance of green algae in Longhu Lake. The findings here improve our understanding of the competition between green algae and cyanobacteria in shallow lakes.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84334449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the allocation of water resources engineering projects based on multi-objective optimization 基于多目标优化的水资源工程项目配置研究
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-22 DOI: 10.2166/ws.2023.153
Yongqin Lu, Lu Gan, Yonghua Chen, Ningyao Zheng
The shortage of water resources (WR) directly affects the economic development and ecological environment in the region, and optimizing the allocation of water resources engineering (WRE) projects is the most valid method to solve this problem. Traditional WR allocation methods can no longer solve the complex configuration problems of complex WRE projects, and the emergence of artificial intelligence (AI) technology has not provided new technologies and methods for optimizing WR allocation. This article conducted research on multi-objective optimization configuration of WRE based on AI technology. First, it introduced the current situation and future development direction of WR allocation, indicating the transformation of WR allocation from single-objective optimization to multi-objective optimization, and the importance of WR allocation, which should be coordinated from multiple aspects such as economy, society, and ecology. Experiments were conducted on its multi-objective genetic algorithm from three aspects: water use assurance rate, economic and ecological benefits, and execution efficiency.
水资源短缺直接影响到区域经济发展和生态环境,优化水资源工程项目配置是解决这一问题的最有效途径。传统的水水分配方法已经不能解决复杂水水工程的复杂配置问题,人工智能技术的出现也没有为优化水水分配提供新的技术和方法。本文对基于AI技术的WRE多目标优化配置进行了研究。首先,介绍了水资源配置的现状和未来发展方向,指出了水资源配置从单目标优化向多目标优化的转变,以及水资源配置的重要性,需要从经济、社会、生态等多个方面进行协调。从用水保证率、经济生态效益和执行效率三个方面对其多目标遗传算法进行了实验。
{"title":"Research on the allocation of water resources engineering projects based on multi-objective optimization","authors":"Yongqin Lu, Lu Gan, Yonghua Chen, Ningyao Zheng","doi":"10.2166/ws.2023.153","DOIUrl":"https://doi.org/10.2166/ws.2023.153","url":null,"abstract":"\u0000 The shortage of water resources (WR) directly affects the economic development and ecological environment in the region, and optimizing the allocation of water resources engineering (WRE) projects is the most valid method to solve this problem. Traditional WR allocation methods can no longer solve the complex configuration problems of complex WRE projects, and the emergence of artificial intelligence (AI) technology has not provided new technologies and methods for optimizing WR allocation. This article conducted research on multi-objective optimization configuration of WRE based on AI technology. First, it introduced the current situation and future development direction of WR allocation, indicating the transformation of WR allocation from single-objective optimization to multi-objective optimization, and the importance of WR allocation, which should be coordinated from multiple aspects such as economy, society, and ecology. Experiments were conducted on its multi-objective genetic algorithm from three aspects: water use assurance rate, economic and ecological benefits, and execution efficiency.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76048963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on the method and model of water balance allocation of the Yellow River with overall fairness and efficiency 黄河水资源均衡分配方法与模型的综合公平与效率研究
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-22 DOI: 10.2166/ws.2023.145
Yu Wang, Shaoming Peng, J. Wu, Fang Wan, Xiaokang Zheng, X. Zhou, Wenxiu Shang, Fei Zhang
Under the changing environment, the problems of the water cycle and water resources in the basin become extremely complex, and the coordination of water use efficiency and fairness is extremely difficult. This paper takes the Yellow River Basin as the key research area and creates a balanced allocation method and model of water resources that take into account the fairness and efficiency of water use. The dynamic equilibrium allocation of water resources increment brought by new water source projects and regulation projects is realized, and the fine-tuning optimization of the water distribution scheme is realized. The results show that the optimal adjustment strategy of the water diversion scheme is to increase the upstream water allocation, and the adjustment range is 2.13%. The water allocation in the middle reaches was slightly increased by 0.25% to reduce the downstream and Hebei Province, Tianjin water allocation, and the adjustment range is −3.81%. The optimization scheme reflects the principle of ecological priority, guarantees the basic ecological environment water use in the Yellow River, balances the fairness and efficiency of economic and social water use outside the river, and provides technical support for water resources security in water-shortage basins.
在变化的环境下,流域水循环与水资源问题变得极其复杂,水资源利用效率与公平的协调极为困难。本文以黄河流域为重点研究区,建立了兼顾水资源利用公平和效率的水资源均衡配置方法和模型。实现了新水源工程和调控工程带来的水资源增量的动态均衡配置,实现了配水方案的微调优化。结果表明:调水方案的最优调整策略为增加上游配水量,调整幅度为2.13%;中游配水量小幅增加0.25%,减少下游及河北、天津配水量,调整幅度为- 3.81%。优化方案体现了生态优先原则,保障了黄河流域基本生态环境用水,平衡了河外经济社会用水的公平与效率,为缺水流域水资源安全提供了技术支撑。
{"title":"Study on the method and model of water balance allocation of the Yellow River with overall fairness and efficiency","authors":"Yu Wang, Shaoming Peng, J. Wu, Fang Wan, Xiaokang Zheng, X. Zhou, Wenxiu Shang, Fei Zhang","doi":"10.2166/ws.2023.145","DOIUrl":"https://doi.org/10.2166/ws.2023.145","url":null,"abstract":"\u0000 Under the changing environment, the problems of the water cycle and water resources in the basin become extremely complex, and the coordination of water use efficiency and fairness is extremely difficult. This paper takes the Yellow River Basin as the key research area and creates a balanced allocation method and model of water resources that take into account the fairness and efficiency of water use. The dynamic equilibrium allocation of water resources increment brought by new water source projects and regulation projects is realized, and the fine-tuning optimization of the water distribution scheme is realized. The results show that the optimal adjustment strategy of the water diversion scheme is to increase the upstream water allocation, and the adjustment range is 2.13%. The water allocation in the middle reaches was slightly increased by 0.25% to reduce the downstream and Hebei Province, Tianjin water allocation, and the adjustment range is −3.81%. The optimization scheme reflects the principle of ecological priority, guarantees the basic ecological environment water use in the Yellow River, balances the fairness and efficiency of economic and social water use outside the river, and provides technical support for water resources security in water-shortage basins.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76505165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantitative analysis and management of sustainable development of ecological water resources and digital financial system based on an intelligent algorithm 基于智能算法的生态水资源可持续发展定量分析与管理及数字金融系统
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-21 DOI: 10.2166/ws.2023.152
Qiuju Chen, Shuai Fu
In the modern day, water is a crucial resource for advancing society and preserving ecological balance. Growth, which lessens poverty and increases equality, is often seen as inextricably linked to the effective use of water resources. Traditional water system management aims to optimize surface water and subsurface aquifers to meet conflicting needs. As a result, the special difficulties in water resource management (WRM) would be exacerbated by the added uncertainty brought on by climatic change. Managing the world's water supplies sustainably is crucial to the planet's continued existence and prosperity. However, ecological planning for sustainable water development is difficult because of complex impacts, random processes, and hydrological restrictions. The study was inspired to address the issues head-on by creating a hybrid AI algorithm for ecological water resource sustainability and digital finance (HAI-EWRS-DF) system for solving complex, multi-scale problems in WRM. Control mechanisms, including social, financial, and sustainability on ground-level and surface-level water resource facilities, are recommended to enhance WRM to increase the applicable revenue, promote community well-being, and pave the way for greater economic development.
在当今社会,水是推动社会发展和保持生态平衡的重要资源。经济增长可以减少贫困,增加平等,人们往往认为它与有效利用水资源有着密不可分的联系。传统的水系统管理旨在优化地表水和地下含水层,以满足相互冲突的需求。因此,气候变化带来的不确定性将加剧水资源管理的特殊困难。可持续地管理世界水资源供应对地球的持续存在和繁荣至关重要。然而,由于影响复杂、过程随机、水文限制等因素,水资源可持续发展的生态规划存在一定难度。该研究的灵感是通过创建一个用于生态水资源可持续性和数字金融的混合人工智能算法(HAI-EWRS-DF)系统来解决水资源管理中复杂的多尺度问题,从而正面解决这些问题。建议建立控制机制,包括对地面和地面水资源设施的社会、财政和可持续性,以加强水资源管理,增加适用收入,促进社区福祉,为更大的经济发展铺平道路。
{"title":"Quantitative analysis and management of sustainable development of ecological water resources and digital financial system based on an intelligent algorithm","authors":"Qiuju Chen, Shuai Fu","doi":"10.2166/ws.2023.152","DOIUrl":"https://doi.org/10.2166/ws.2023.152","url":null,"abstract":"\u0000 \u0000 In the modern day, water is a crucial resource for advancing society and preserving ecological balance. Growth, which lessens poverty and increases equality, is often seen as inextricably linked to the effective use of water resources. Traditional water system management aims to optimize surface water and subsurface aquifers to meet conflicting needs. As a result, the special difficulties in water resource management (WRM) would be exacerbated by the added uncertainty brought on by climatic change. Managing the world's water supplies sustainably is crucial to the planet's continued existence and prosperity. However, ecological planning for sustainable water development is difficult because of complex impacts, random processes, and hydrological restrictions. The study was inspired to address the issues head-on by creating a hybrid AI algorithm for ecological water resource sustainability and digital finance (HAI-EWRS-DF) system for solving complex, multi-scale problems in WRM. Control mechanisms, including social, financial, and sustainability on ground-level and surface-level water resource facilities, are recommended to enhance WRM to increase the applicable revenue, promote community well-being, and pave the way for greater economic development.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81192402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing water efficiency and energy productivity in choosing a cropping pattern 在选择种植模式时优化用水效率和能源生产力
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-19 DOI: 10.2166/ws.2023.148
Zhigang Ye, Ping Miao, Ning Li, Yong Wang, Wenli Zhang, Shan Yin
In the current century, the sustainable production of agricultural products is one of the main challenges facing humanity. The amount of water consumption, energy, and net income as important components of the sustainability of agricultural systems is of special priority and importance. This study used linear and multi-objective programming models with the aim of maximizing five indicators of cost efficiency (CE), irrigation efficiency (IE), energy productivity (EP), energy efficiency (EE), and food efficiency (FE) to determine the cropping pattern of small-scale farms cultivated per hectare in the agricultural year. There are 160 questionnaires classified by random sampling method in agricultural sectors in Inner Mongolia, China. The results showed that determining the cropping pattern using multi-objective planning increases irrigation efficiency and energy efficiency compared with linear modeling. Considering the conditions of limited water resources in the region and the policies of the country in the agricultural sector, cropping patterns with the objective functions of maximization of IE and CE were proposed.
在本世纪,农产品的可持续生产是人类面临的主要挑战之一。用水量、能源和净收入作为农业系统可持续性的重要组成部分,具有特别优先和重要性。本研究使用线性和多目标规划模型,旨在最大化成本效率(CE)、灌溉效率(IE)、能源生产率(EP)、能源效率(EE)和粮食效率(FE)五个指标,以确定农业年每公顷种植的小规模农场的种植模式。采用随机抽样法对内蒙古农业部门的160份问卷进行分类。结果表明,与线性模型相比,采用多目标规划方法确定种植格局能提高灌溉效率和能源效率。考虑区域水资源有限的条件和国家农业部门的政策,提出了以IE和CE最大化为目标函数的种植模式。
{"title":"Optimizing water efficiency and energy productivity in choosing a cropping pattern","authors":"Zhigang Ye, Ping Miao, Ning Li, Yong Wang, Wenli Zhang, Shan Yin","doi":"10.2166/ws.2023.148","DOIUrl":"https://doi.org/10.2166/ws.2023.148","url":null,"abstract":"\u0000 In the current century, the sustainable production of agricultural products is one of the main challenges facing humanity. The amount of water consumption, energy, and net income as important components of the sustainability of agricultural systems is of special priority and importance. This study used linear and multi-objective programming models with the aim of maximizing five indicators of cost efficiency (CE), irrigation efficiency (IE), energy productivity (EP), energy efficiency (EE), and food efficiency (FE) to determine the cropping pattern of small-scale farms cultivated per hectare in the agricultural year. There are 160 questionnaires classified by random sampling method in agricultural sectors in Inner Mongolia, China. The results showed that determining the cropping pattern using multi-objective planning increases irrigation efficiency and energy efficiency compared with linear modeling. Considering the conditions of limited water resources in the region and the policies of the country in the agricultural sector, cropping patterns with the objective functions of maximization of IE and CE were proposed.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88396366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of water footprint and economic growth on environmental degradation: applications of optimization modeling 水足迹和经济增长对环境退化的影响:优化模型的应用
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-19 DOI: 10.2166/ws.2023.149
Yunrong Li, Y. Dou
In this study, the effect of economic growth, energy consumption, biological capacity, and trade liberalization on the economic water footprint of consumption as an indicator of environmental degradation was investigated. An optimization framework was developed to find the maximum values of economic water footprint based on environmental, ecological, energy, and technical constraints. The results of the study showed that the simulated relationship can be used together to estimate long-term relationships between variables, there is a positive and significant relationship between ecological footprint and biological capacity and a negative and significant relationship between trade globalization and economic water footprint. The middle form of the ecological footprint N also increases energy consumption leading to an increase in the economic water footprint. Moreover, the results showed that there is a relationship with economic growth, and this indicates that the increase in economic growth in this region will lead to further destruction of the environment.
本研究考察了经济增长、能源消耗、生物容量和贸易自由化对经济消费水足迹的影响,并将其作为环境退化的指标。建立了基于环境、生态、能源和技术约束的经济水足迹最大值优化框架。研究结果表明:生态足迹与生物容量之间存在显著正相关关系,贸易全球化与经济水足迹之间存在显著负相关关系。中间形式的生态足迹N也增加了能源消耗,导致经济水足迹增加。此外,研究结果显示,与经济增长存在一定的关系,这表明该地区经济增长的增加将导致环境的进一步破坏。
{"title":"The effect of water footprint and economic growth on environmental degradation: applications of optimization modeling","authors":"Yunrong Li, Y. Dou","doi":"10.2166/ws.2023.149","DOIUrl":"https://doi.org/10.2166/ws.2023.149","url":null,"abstract":"\u0000 In this study, the effect of economic growth, energy consumption, biological capacity, and trade liberalization on the economic water footprint of consumption as an indicator of environmental degradation was investigated. An optimization framework was developed to find the maximum values of economic water footprint based on environmental, ecological, energy, and technical constraints. The results of the study showed that the simulated relationship can be used together to estimate long-term relationships between variables, there is a positive and significant relationship between ecological footprint and biological capacity and a negative and significant relationship between trade globalization and economic water footprint. The middle form of the ecological footprint N also increases energy consumption leading to an increase in the economic water footprint. Moreover, the results showed that there is a relationship with economic growth, and this indicates that the increase in economic growth in this region will lead to further destruction of the environment.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83456825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of artificial intelligence and communication technology to water and energy balance models 人工智能和通信技术在水和能量平衡模型中的应用
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-19 DOI: 10.2166/ws.2023.147
Guanxiong Zhang, Ye-Cheng Jin, Bingqiang Wang
The precise correction of water and energy balance is a significant difficulty in studying turbulence energy balance and water flow for agricultural purposes. The need for efficient water and energy management is growing as the world struggles to keep up with rising water and energy demands. This research examines artificial intelligence (AI)'s impact on the water flow and energy balance confluence subnetwork of sensing elements from all the original network's nodes. The study proposed an AI-based optimized sensor energy balance model (AI-SEBM) that uses pressure data to maintain energy balance in turbines and save water with the optimized energy source for agriculture usage. This research explores the potential for installing Kalpan hydraulic turbines, which are most effective during half-load operation, and to forecast all loads with little computing effort to balance energy in turbulence. To anticipate daily pressure readings and energy consumption across all nodes in the network, an AI-based optimization wireless sensor network is designed for communication and linked to an energy balance system. Sensors are strategically deployed at the network's nerve centres. The maximum flow algorithm is used for a grid representing the water and energy balance to determine the positions of the virtual nodes.
水能平衡的精确校正是湍流能量平衡和农业用水流研究的一个重要难点。随着世界努力跟上不断增长的水和能源需求,对高效水和能源管理的需求正在增长。本研究从原始网络的所有节点考察人工智能(AI)对传感元件的水流和能量平衡合流子网络的影响。该研究提出了一种基于人工智能的优化传感器能量平衡模型(AI-SEBM),该模型利用压力数据来维持涡轮机中的能量平衡,并通过优化的能源来节约用水,以供农业使用。这项研究探索了安装Kalpan水轮机的潜力,它在半负荷运行时最有效,并且用很少的计算努力来预测所有负荷,以平衡湍流中的能量。为了预测网络中所有节点的每日压力读数和能耗,设计了一个基于人工智能的优化无线传感器网络,用于通信并连接到能量平衡系统。传感器战略性地部署在网络的神经中枢。最大流量算法用于表示水和能量平衡的网格,以确定虚拟节点的位置。
{"title":"Application of artificial intelligence and communication technology to water and energy balance models","authors":"Guanxiong Zhang, Ye-Cheng Jin, Bingqiang Wang","doi":"10.2166/ws.2023.147","DOIUrl":"https://doi.org/10.2166/ws.2023.147","url":null,"abstract":"\u0000 \u0000 The precise correction of water and energy balance is a significant difficulty in studying turbulence energy balance and water flow for agricultural purposes. The need for efficient water and energy management is growing as the world struggles to keep up with rising water and energy demands. This research examines artificial intelligence (AI)'s impact on the water flow and energy balance confluence subnetwork of sensing elements from all the original network's nodes. The study proposed an AI-based optimized sensor energy balance model (AI-SEBM) that uses pressure data to maintain energy balance in turbines and save water with the optimized energy source for agriculture usage. This research explores the potential for installing Kalpan hydraulic turbines, which are most effective during half-load operation, and to forecast all loads with little computing effort to balance energy in turbulence. To anticipate daily pressure readings and energy consumption across all nodes in the network, an AI-based optimization wireless sensor network is designed for communication and linked to an energy balance system. Sensors are strategically deployed at the network's nerve centres. The maximum flow algorithm is used for a grid representing the water and energy balance to determine the positions of the virtual nodes.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81267201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Removal of fluoride and pathogens from water using the combined electrocoagulation-inline-electrolytic disinfection process 电混凝-在线-电解联合消毒工艺去除水中的氟化物和病原体
IF 4.3 Q2 Environmental Science Pub Date : 2023-06-16 DOI: 10.2166/ws.2023.146
Oscar Ezekiel Njau, P. Otter, Revocatus Lazaro Machunda, A. Rugaika, K. Wydra, Karoli Nicholas Njau
The consecutive removal of fluoride (defluoridation) and pathogens (disinfection) in drinking water through combined electrocoagulation-inline-electrolytic disinfection (EC–ECl2) process with aluminum and dimension-stable mixed oxide electrodes was reported in this study. Laboratory trials were conducted on the effects of flow rate, initial pH, current density, and supporting electrolytes for defluoridation and disinfection processes. The results have shown that with a flow rate of 10 L/h, initial pH of 6, the current density of 9.4 mA/cm2 (EC cell) and 3.1 mA/cm2 (ECl2 cell), supporting electrolyte concentration of 165 mg/L, and electrolysis time of 50 min, a defluoridation rate of 88% (initial concentration of 12.3 mg/L) and complete disinfection (initial fecal coliforms of 19,700 colony-forming units per 100 mL (CFU/100 mL)) can be reached. The final concentration of fluoride and pathogens in treated water was 1.44 mg/L and 0 CFU/100 mL, which are within the acceptable limit of the World Health Organization and the Tanzania Bureau of Standards of 1.5 mg/L and 0 CFU/100 mL, respectively. The EC–ECl2 system is a promising approach for consecutive defluoridation and disinfection of water to save millions from fluorosis and waterborne diseases. However, optimization potential with regard to energetic efficiency and system complexity was identified.
本文报道了铝和尺寸稳定的混合氧化物电极采用电凝-在线-电解联合消毒(EC-ECl2)工艺对饮用水中氟(除氟)和病原体(消毒)的连续去除。对流量、初始pH值、电流密度和辅助电解质对除氟和消毒过程的影响进行了实验室试验。结果表明,在流速为10 L/h、初始pH为6、电流密度为9.4 mA/cm2 (EC电池)和3.1 mA/cm2 (ECl2电池)、支撑电解质浓度为165 mg/L、电解时间为50 min的条件下,除氟率可达88%(初始浓度为12.3 mg/L),完全消毒(初始粪便大肠菌群为每100 mL (CFU/100 mL) 19,700个菌落形成单位)。处理后的水中氟化物和病原体的最终浓度分别为1.44毫克/升和0 CFU/100毫升,均在世界卫生组织和坦桑尼亚标准局分别为1.5毫克/升和0 CFU/100毫升的可接受限度之内。EC-ECl2系统是一种有前途的连续除氟和消毒水的方法,可使数百万人免于氟中毒和水传播疾病。然而,确定了能量效率和系统复杂性方面的优化潜力。
{"title":"Removal of fluoride and pathogens from water using the combined electrocoagulation-inline-electrolytic disinfection process","authors":"Oscar Ezekiel Njau, P. Otter, Revocatus Lazaro Machunda, A. Rugaika, K. Wydra, Karoli Nicholas Njau","doi":"10.2166/ws.2023.146","DOIUrl":"https://doi.org/10.2166/ws.2023.146","url":null,"abstract":"\u0000 \u0000 The consecutive removal of fluoride (defluoridation) and pathogens (disinfection) in drinking water through combined electrocoagulation-inline-electrolytic disinfection (EC–ECl2) process with aluminum and dimension-stable mixed oxide electrodes was reported in this study. Laboratory trials were conducted on the effects of flow rate, initial pH, current density, and supporting electrolytes for defluoridation and disinfection processes. The results have shown that with a flow rate of 10 L/h, initial pH of 6, the current density of 9.4 mA/cm2 (EC cell) and 3.1 mA/cm2 (ECl2 cell), supporting electrolyte concentration of 165 mg/L, and electrolysis time of 50 min, a defluoridation rate of 88% (initial concentration of 12.3 mg/L) and complete disinfection (initial fecal coliforms of 19,700 colony-forming units per 100 mL (CFU/100 mL)) can be reached. The final concentration of fluoride and pathogens in treated water was 1.44 mg/L and 0 CFU/100 mL, which are within the acceptable limit of the World Health Organization and the Tanzania Bureau of Standards of 1.5 mg/L and 0 CFU/100 mL, respectively. The EC–ECl2 system is a promising approach for consecutive defluoridation and disinfection of water to save millions from fluorosis and waterborne diseases. However, optimization potential with regard to energetic efficiency and system complexity was identified.","PeriodicalId":17553,"journal":{"name":"Journal of Water Supply Research and Technology-aqua","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74014248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of Water Supply Research and Technology-aqua
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1