Multi-objective Modelling for Optimal Allocation of Agricultural-Ecological Water and Land Resources Based on Type-2 Fuzzy Sets

被引：0
|
作者：
Guo P. [1 ,2 ]
Pan Q. [1 ,2 ]
Yue Q. [1 ,2 ]
Wang Y. [1 ]
Zhang H. [1 ]
机构：
[1] College of Water Resources and Civil Engineering, China Agricultural University, Beijing
[2] Center for Agricultural Water Research in China, China Agricultural University, Beijing
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2022年 / 53卷 / 12期
关键词：
ecological vegetation; Hongyashan Irrigation District; multi-objective programming; optimal allocation; type - 2 fuzzy sets; water and land resources;
D O I：
10.6041/j.issn.1000-1298.2022.12.035
中图分类号：
学科分类号：
摘要：
To handle eco-environment vulnerability, water shortage and complex uncertainties in irrigation districts in arid areas of Northwest China, taking Hongyashan Irrigation District in Shiyang River Basin as an example, a type - 2 fuzzy multi-objective programming model for optimization of agricultural - ecological water and land resources allocation was developed. The developed model integrated type - 2 fuzzy sets, fuzzy credibility-constrained programming, and multi-objective programming, with the objectives of minimum irrigation loss, maximum ecological vegetation irrigation satisfaction, minimum ecological vegetation irrigation cost and maximum economic benefit of main grain crops. The decision variables were surface water, groundwater and planting structure among 10 decision-making units in Hongyashan Irrigation District. The optimal allocation schemes of irrigation water and planting structure under different credibility levels and uncertainty degrees were obtained by solving the model. Optimal results showed that the model coupled with type - 2 fuzzy sets can provide abundant allocation schemes. The sensitivity of allocated water to credibility levels was higher than uncertainty degrees, and the planting structure was not sensitive to credibility levels. When the uncertainty degree was 0. 5 and the credibility level was 0.7, the ecological vegetation was totally irrigated by surface water, crops were irrigated by surface water and groundwater, and the yield and economic benefit of maize are higher than that of wheat. Compared with previous studies, the research more considered the irrigation requirement of ecological vegetation, and the optimization results were more realistic and reasonable. The research results can provide decision-makers with allocation schemes which were in line with the actual situation of irrigation districts and provide scientific guidance for the modernization of irrigation districts in arid areas of Northwest China. © 2022 Chinese Society of Agricultural Machinery. All rights reserved.
引用
收藏
页码：353 / 365
页数：12
相关论文
共 37 条
  • [1] The United Nations world water development report 2021 [R], (2021)
  • [2] CAI Y, CAI J, XU L, Et al., Integrated risk analysis of water-energy nexus systems based on systems dynamics, orthogonal design and copula analysis [J], Renewable and Sustainable Energy Reviews, 99, 1, pp. 125-137, (2019)
  • [3] WANG Huaqi, LI Zhiheng, ZHANG Maosheng, Et al., Eco-environmental impact caused by water resources exploration and land space optimization in Shiyang River Basin[J], Northwestern Geology, 52, 2, pp. 207-217, (2019)
  • [4] XU Yaowen, WANG Yihan, LIANG Dongling, Et al., Irrigation water resources allocation in Jinxi irrigation district based on agricultural sustainability [J], Transactions of the Chinese Society for Agricultural Machinery, 51, 10, pp. 299-309, (2020)
  • [5] TANG Y, ZHANG F, ENGEL B A, Et al., Grid-scale agricultural land and water management
  • [6] a remote-sensing-based multiobjective approach[J], Journal of Cleaner Production, 265, (2020)
  • [7] LIU Jing, MEI Xurong, LIAN Yuyang, Et al., Optimal allocation of water and land resources under high-quality agricultural development in Yellow River Basin[J], Chinese Journal of Agricultural Resources and Regional Planning, 43, 6, pp. 1-14, (2021)
  • [8] SUN Bo, XIE Jiancang, WANG Ni, Optimal allocation of water - land - crop system based on fuzzy linear programming models [J], Resources Science, 34, 6, pp. 1101-1107, (2012)
  • [9] HUANG Suning, HUANG Xianfeng, FANG Guohua, Et al., Research on water and soil resources optimal allocation based on multi-objective genetic algorithm [J], China Rural Water and Hydropower, 5, pp. 33-36, (2013)
  • [10] CHENG Kun, Regional water-land resources optimization allocation and food safety risk analysis based on the theory of complex adaptive system, (2015)
1234