City Optimal Allocation of Water Resources Research Based on Sustainable Development

Sun, Wen; Zeng, Zhao

doi:10.4028/www.scientific.net/amr.446-449.2703

Cited by 12 publications

(6 citation statements)

References 3 publications

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“…According to the target planning of Guyuan City and the information and data that can be collected at present [27,28], starting from the concept of sustainable development, the objective function of the multi-objective multi-water source multi-user multi-water quality planning model is constructed after comprehensive consideration. Based on different planning level years, water resources in Guyuan City are reasonably allocated, and its objective function can be expressed as Formula (2).…”

Section: Objective Functionmentioning

confidence: 99%

Optimal allocation of water resources in Guyuan City based on improved NSGA-III algorithm

Zhu

Shi

2022

Preprint

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At present, there are many ways to solve the problem of water shortage through rational use of water resources, but there are few ways to use artificial intelligence algorithm to solve the optimal allocation of water resources with various needs. In order to alleviate the problem of water resources shortage and unequal distribution in time and space in Guyuan City, this paper firstly analyzes the basic situation of water resources in Guyuan City, and constructs a multi-objective optimal allocation model of water resources with economic benefits, social benefits and ecological benefits as the objectives. Then, NSGA-III algorithm is proposed to solve the optimal allocation scheme of water resources. Based on the original NSGA-III algorithm, multi-point crossover operator and multi-point mutation operator, namely RNSGA-III, are used. In the selection of the next generation, SAW and MCDM schemes were used to evaluate the chromosomes and set the weights to achieve better and more ideal results. Finally, the proposed scheme is compared with the existing configuration scheme based on NSGA-III and NSGA-II algorithms. Simulation experiments show that the proposed scheme is better than the allocation scheme based on NSGA-III algorithm and NSGA-II algorithm in the comprehensive cost of economic benefits, water shortage and ecological benefits, which can provide a basis for the rational allocation of water resources in Guyuan City.

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Section: Objective Functionmentioning

confidence: 99%

Optimal allocation of water resources in Guyuan City based on improved NSGA-III algorithm

Zhu

Shi

2022

Preprint

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“…There are two methods to solve this problem. The first method is save expenditure and establish water-saving society; the second method is to optimize the allocation of the limited water resources, (Sun, 2012). 0 500 1000 1500 2000 2500 3000 3500 1 9 5 1 1 9 5 9 1 9 6 7 1 9 7 5 1 9 8 3 1 9 9 1 1 9 9 9 2 7…”

Section: Optimal Allocation Of Water Resourcesmentioning

confidence: 99%

Numerical study on seawater intrusion into groundwater in Liaodong Bay coastal plain, China

Ding

Yamashitâ

Lee

et al. 2011

2011 International Symposium on Water Resource and Environmental Protection

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In the latest decades, water resource stress and water environment are become seriously year by year which due to the contradiction between supply and demand of water resources become more and more seriously at all of the world. Optimal allocation of the limited water resources is an available method to solve this problem and it has become research hotspot. The local water resource conditions should be evaluated if we allocate the water resource. On the other hand, how to choice the best optimal allocation scheme is also very important. At present, many coastal aquifers in the world experience an intensive seawater intrusion and it is one kind of water environment problem. In the Liaodong Bay coastal plain area, China, the seawater intrusion area is more than 4,000 m 2 with serious intrusion area of nearly 1,500 m 2. In this study, numerical models and coupling mode system have been First of all, I would like to express my deep gratitude to my supervisor Prof. Takao Yamashita for his guidance, supervision and generous support for three years of my PH. D course study in Hiroshima University. I would also like to special thank for his proofreading and valuable comments of the draft manuscripts of my published articles and of this thesis. I would like to thank Prof. Haruyuki Yamamoto, Prof. Yasushi Higo, and for their guidance and valuable comments on this thesis. I would also like to thank the staffs and friends in Graduate School for International Development and Cooperation (IDEC), Hiroshima University for their support of research study and daily life, especially for all members of Environmental Simulator research group is greatly appreciated. I would also like to thank Dr. Han Soo Lee for his guidance for conducting simulation in parallel computer system and for the kind discussions during my PH. D study in IDEC, Hiroshima University. Thanks also goes to all Chinese students in Saijo for their warm support and help. I would like to thank to Prof. Jun Pan and his lab members in Shenyang Jianzhu University, China, who has guided and help me in the Environment engineering field for years which led me to continue my study abroad. I would like to acknowledgment to the supported by the scholarship of the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), and the Global Environmental Leaders Education Program in Hiroshima University funded by the MEXT, Japan. I owe great thanks to my family, my parents, my three bigger brothers，three sister-in-laws and nephews for their support and patience during the past several years of my life. Finally, I am really grateful to giant researchers who lend their shoulders for me to step on.

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“…China has a vast number of water resources; however, due to the vast territory, large population, small per capita water resources and uneven distribution of water resources in time and space, there is still a serious imbalance between supply and demand of the resource [1,2]. The main way to solve the problem of water shortage is the optimal distribution of areal water resources [3][4][5]. It can be achieved mainly through improving the distribution efficiency of water resources, scientifically allocating water among water use departments and reasonably solving the problem of competitive water usage among areas and departments [6,7].…”

Section: Introductionmentioning

confidence: 99%

Application of an Interval Two-Stage Robust (ITSR) Optimization Model for Optimization of Water Resource Distribution in the Yinma River Basin, Jilin Province, China

Yang

et al. 2020

Water

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The present study is based on the application of an interval two-stage stochastic programming (ITSP) model in the Yinma River Basin. A robust method based on interval two-stage robust (ITSR) optimization is introduced to construct an optimization model of water resource distribution in order to solve the problems of water shortage in low-income and high-income areas caused by the unreasonable distribution of water resources. The model would help in reducing the system risk in the Yinma River Basin caused by an excessive pursuit of economic benefits. The model simulations show that the amount of water required for the water resource distribution is significantly reduced after balancing the risks and the water resource distribution of the water use departments is reduced by up to 20%. In addition, the situation of water scarcity of various water use departments shows a decreasing trend. There is no scarcity of water use in Panshi, Yongji, Shuangyang and Jiutai areas. The water shortage of water use departments in other areas is reduced by up to 97%. The allocation of reused water to ecological and environmental departments with higher water demand further solved the water shortage problem in low-income departments in the interval-two-stage planning model. In this study, after the introduction of the robust optimization method in the Yinma River Basin, the stability of the water resources distribution system is significantly improved. In addition, the risk of water use system in the interval-two-stage stochastic model can be avoided.

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City Optimal Allocation of Water Resources Research Based on Sustainable Development

Cited by 12 publications

References 3 publications

Optimal allocation of water resources in Guyuan City based on improved NSGA-III algorithm

Optimal allocation of water resources in Guyuan City based on improved NSGA-III algorithm

Numerical study on seawater intrusion into groundwater in Liaodong Bay coastal plain, China

Application of an Interval Two-Stage Robust (ITSR) Optimization Model for Optimization of Water Resource Distribution in the Yinma River Basin, Jilin Province, China

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