Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the...Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the corresponding industrial structure are unbalanced. We constructed a System Dynamic Model for mutual optimization based on the mechanism of their interaction. This model is applied to the Heihe River Basin where the share of limited water resources among ecosystem, production and human living is optimized. Results show that, by mutual optimization, the water utilization structure and the industrial structures fit in with each other. And the relationships between the upper, middle and lower reaches of the Heihe River Basin can be harmonized. Mutual benefits of ecology, society and economy can be reached, and a sustainable ecology-production-living system can be obtained. This study gives a new insight and method for the sustainable utilization of water resources in arid inland river basins.展开更多
In Northern Nigeria, irrigation systems are operated manually. Agriculture has over the years been practiced primitively by farmers, especially in sub-Saharan Africa. This is due to the absence of intelligent technolo...In Northern Nigeria, irrigation systems are operated manually. Agriculture has over the years been practiced primitively by farmers, especially in sub-Saharan Africa. This is due to the absence of intelligent technological know-how where its practice could be leveraged upon. Agricultural practice is constrained by some major challenges ranging from traditional way of farming, understating of concepts, practices, policy, environmental and financial factors. The aim of this study was to optimize an IoT-based model for smart agriculture and irrigation water management. The objectives of the study were to: design, implement, test and evaluate the performance of the optimized IoT-based model for smart agriculture and irrigation water management. The method used in the study was the prototyping model. The system was designed using balsamiq application tools. The system has a login page, dashboard, system USE-CASE diagrams, actuators page, sensor page and application interface design. Justinmind tool was used to show the flow of information in the system, which included data input and output, data stores and all the sub-processes the data moves through. The Optimized IoT model was implemented using four core platforms namely, ReactJS Frontend Application development platform, Amazon web services IoT Core backend, Arduino Development platform for developing sensor nodes and Python programming language for the actuator node based on Raspberry Pi board. When compared with the existing system, the results show that the optimized system is better than the existing system in accuracy of measurement, irrigation water management, operation node, platform access, real-time video, user friendly and efficiency. The study successfully optimized an IoT-based model for smart agriculture and irrigation water management. The study introduced the modern way of irrigation farming in the 21<sup>st</sup> century against the traditional or primitive way of irrigation farming that involved intensive human participation.展开更多
Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agri...Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agriculture,a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze,Heilongjiang Province,as an example.This research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator.A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed,and the sustainable grades of the water resources were calculated.The research results showed that,in addition to the natural continuation of such schemes,the development trends of four new schemes achieved the sustainable utilization of water resources,and thus,the sustainable water resource utilization was optimized.However,when the open-source,throttle,comprehensive and coordination schemes were subjected to the optimum applicability analysis,based on the limiting factors in different periods,resource availability and long-term development,decision-making regarding the best solution in different periods better ensures sustainable development in Kiamusze.The research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze.展开更多
优化灌区渠系输配水技术是推动农业水资源高效利用的重要举措。针对新疆部分灌区渠系管理上沿用人工传递信息方法来决策配水方案,难以达到优化调配。以轮灌分组和配水流量为决策变量,建立了以渠道输水损失最小、轮灌组内配水时间差最小...优化灌区渠系输配水技术是推动农业水资源高效利用的重要举措。针对新疆部分灌区渠系管理上沿用人工传递信息方法来决策配水方案,难以达到优化调配。以轮灌分组和配水流量为决策变量,建立了以渠道输水损失最小、轮灌组内配水时间差最小为目标的灌区支、斗渠优化配水模型,采用多目标粒子群算法进行求解;在深入研究渠系优化配水模型及其算法求解的基础上,采用Visual Studio Code、Matlab开发工具,开发灌区渠系水优化配置系统,并通过实例进行检验分析。结果表明:优化后的配水方案较该时段实际灌溉方案,渗漏损失总量由48.49万m^(3)减少至23.78万m^(3),配水时间由30 d缩短为14.6 d。所建立的渠系优化配水模型贴近渠系实际运行情况,可以实现集中高效配水;开发的渠系水优化配置系统界面友好、参数简洁,能方便快速地为灌区的配水优化编组提供决策依据。展开更多
基金Key Project of National Natural Science Foundation of China, No.40335049 National Natural Science Foundation of China, No.40471059
文摘Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the corresponding industrial structure are unbalanced. We constructed a System Dynamic Model for mutual optimization based on the mechanism of their interaction. This model is applied to the Heihe River Basin where the share of limited water resources among ecosystem, production and human living is optimized. Results show that, by mutual optimization, the water utilization structure and the industrial structures fit in with each other. And the relationships between the upper, middle and lower reaches of the Heihe River Basin can be harmonized. Mutual benefits of ecology, society and economy can be reached, and a sustainable ecology-production-living system can be obtained. This study gives a new insight and method for the sustainable utilization of water resources in arid inland river basins.
文摘In Northern Nigeria, irrigation systems are operated manually. Agriculture has over the years been practiced primitively by farmers, especially in sub-Saharan Africa. This is due to the absence of intelligent technological know-how where its practice could be leveraged upon. Agricultural practice is constrained by some major challenges ranging from traditional way of farming, understating of concepts, practices, policy, environmental and financial factors. The aim of this study was to optimize an IoT-based model for smart agriculture and irrigation water management. The objectives of the study were to: design, implement, test and evaluate the performance of the optimized IoT-based model for smart agriculture and irrigation water management. The method used in the study was the prototyping model. The system was designed using balsamiq application tools. The system has a login page, dashboard, system USE-CASE diagrams, actuators page, sensor page and application interface design. Justinmind tool was used to show the flow of information in the system, which included data input and output, data stores and all the sub-processes the data moves through. The Optimized IoT model was implemented using four core platforms namely, ReactJS Frontend Application development platform, Amazon web services IoT Core backend, Arduino Development platform for developing sensor nodes and Python programming language for the actuator node based on Raspberry Pi board. When compared with the existing system, the results show that the optimized system is better than the existing system in accuracy of measurement, irrigation water management, operation node, platform access, real-time video, user friendly and efficiency. The study successfully optimized an IoT-based model for smart agriculture and irrigation water management. The study introduced the modern way of irrigation farming in the 21<sup>st</sup> century against the traditional or primitive way of irrigation farming that involved intensive human participation.
基金The Natural Science Foundation of China(51279031,51479032,51679039 and 51579044)the Heilongjiang Province Water Conservancy Science and Technology project(201318 and 201503)+1 种基金the Heilongjiang Province Outstanding Youth Fund(JC201402)the Yangtze River Scholars Support Program of Colleges and Universities in Heilongjiang Province.
文摘Given the adverse effects of current water shortages,low utilization and imbalance between the supply and demand,and other status quo problems relating to social economic development,the construction industry and agriculture,a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze,Heilongjiang Province,as an example.This research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator.A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed,and the sustainable grades of the water resources were calculated.The research results showed that,in addition to the natural continuation of such schemes,the development trends of four new schemes achieved the sustainable utilization of water resources,and thus,the sustainable water resource utilization was optimized.However,when the open-source,throttle,comprehensive and coordination schemes were subjected to the optimum applicability analysis,based on the limiting factors in different periods,resource availability and long-term development,decision-making regarding the best solution in different periods better ensures sustainable development in Kiamusze.The research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze.
文摘优化灌区渠系输配水技术是推动农业水资源高效利用的重要举措。针对新疆部分灌区渠系管理上沿用人工传递信息方法来决策配水方案,难以达到优化调配。以轮灌分组和配水流量为决策变量,建立了以渠道输水损失最小、轮灌组内配水时间差最小为目标的灌区支、斗渠优化配水模型,采用多目标粒子群算法进行求解;在深入研究渠系优化配水模型及其算法求解的基础上,采用Visual Studio Code、Matlab开发工具,开发灌区渠系水优化配置系统,并通过实例进行检验分析。结果表明:优化后的配水方案较该时段实际灌溉方案,渗漏损失总量由48.49万m^(3)减少至23.78万m^(3),配水时间由30 d缩短为14.6 d。所建立的渠系优化配水模型贴近渠系实际运行情况,可以实现集中高效配水;开发的渠系水优化配置系统界面友好、参数简洁,能方便快速地为灌区的配水优化编组提供决策依据。
