Joint optimal allocation of regional water and land resources considering mutual feedback relationship∗

被引:0
|
作者
Lu N. [1 ,2 ]
Zhang J. [1 ,2 ]
Su C. [1 ,2 ]
Hu Z. [1 ,2 ]
Wu Z. [1 ,2 ]
Yan D. [1 ,2 ]
机构
[1] School of Water Conservancy and Transportation, Zhengzhou
[2] Yellow River Laboratory, Zhengzhou University, Zhengzhou
[3] China Institute of Water Resources and Hydropower Research, Beijing
来源
基金
中国国家自然科学基金;
关键词
dualistic water cycle; joint optimal allocation; mutual feedback relationship; three-layer nested algorithm; water and land resources;
D O I
10.14042/j.cnki.32.1309.2024.02.003
中图分类号
学科分类号
摘要
Aiming at the problems of spatial mismatch of water and land resources, lack of total water resources and low utilization of land resources, this paper establishes a joint optimal allocation model of regional water and land resources considering mutual feedback relationship based on the dualistic water cycle theory. This model consists of water production module, water and land resources joint allocation module and land simulation module, and takes maximum GDP and maximum regional vegetation coverage based on ecological green equivalent (EGE- RVC) as the objective functions. A three- layer nested algorithm coupling constraint method (CSM), successive approximation (SA) method and nonlinear programming (NLP) is proposed to solve the model. The proposed model and method are validated by taking Luoyang City of Henan Province as a research example. The results show that the available water volume in Luoyang City increases by 44. 63 million m3, the GDP increases by 12. 5%, and the EGE- RVC increases by 2. 6% . The water shortage rate of each land type has decreased to varying degrees. The research results can provide a new idea and technical reference for the research on the optimal allocation of regional water and land resources. © 2024 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press. All rights reserved.
引用
收藏
页码:208 / 219
页数:11
相关论文
共 28 条
  • [1] QIN T L, LYU X Z, LIU S S, Et al., Technical framework for joint allocation of water and soil resources in the Yellow River basin, Hydro-Science and Engineering, 1, pp. 28-36, (2022)
  • [2] HUANG S N, HUANG X F, FANG G H, Et al., Research on water and soil resources optimal allocation based on multi-objective genetic algorithm, China Rural Water and Hydropower, 5, pp. 33-36, (2013)
  • [3] LI M., Methods and models for agricultural water-land resources multi-scale optimal allocation based on uncertainty analysis, (2017)
  • [4] DAI L Y, ZHANG C., Research on the scheme of multi- objective planning water resources optimization system based on network model, Journal of Physics: Conference Series, 1881, 4, pp. 42-45, (2021)
  • [5] YUAN Y, CHEN X, XU Q, Et al., Multi-objective optimal allocation of water resources based on integration of water quantity and quality, China Rural Water and Hydropower, 12, pp. 129-134, (2021)
  • [6] MEI C, LIU J H, WANG H, Et al., Comprehensive review on the impact of spatial features of urban underlying surface on runoff processes, Advances in Water Science, 32, 5, pp. 791-800, (2021)
  • [7] ZHANG J Y, ZHANG C F, BAO Z X, Et al., Analysis of the effects of vegetation changes on runoff in the Huang- Huai- Hai River basin under global change, Advances in Water Science, 32, 6, pp. 813-823, (2021)
  • [8] GUO P, SHAN B Y, GUO S S., A multi- objective programming model for irrigation water and planting structure optimization based on Pareto set [ J], Journal of Tianjin University (Science and Technology), 52, 10, pp. 1008-1016, (2019)
  • [9] GUO Y., The research of ecosystem service-oriented optimal allocation of land and water resources: a case study of Zhengzhou City, (2016)
  • [10] LU Y J., Interaction and joint regulation between water and soil resources in the alpine region: a case study in the Naqu River basin of the Tibetan Plateau, (2017)