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基于模拟的池塘灌溉系统最优水资源调控——以中国江淮丘陵地区为例。

Optimal Water Resources Regulation for the Pond Irrigation System Based on Simulation-A Case Study in Jiang-Huai Hilly Regions, China.

机构信息

Key Laboratory of Water Conservancy and Water Resources of Anhui Province, Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources of the People's Republic of China, Hefei 230088, China.

School of Civil Engineering, Hefei University of Technology, Hefei 230009, China.

出版信息

Int J Environ Res Public Health. 2019 Jul 30;16(15):2717. doi: 10.3390/ijerph16152717.

DOI:10.3390/ijerph16152717
PMID:31366071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6695888/
Abstract

Due to the importance and complexity of water resources regulations in the pond irrigation systems of the Jiang-Huai hilly regions, a water allocation simulation model for pond irrigation districts based on system simulation theory was developed in this study. To maximize agricultural irrigation benefits while guaranteeing rural domestic water demand, an optimal water resources regulation model for pond irrigation districts and a simulation-based optimal water resources regulation technology system for the pond irrigation system were developed. Using this system, it was determined that the suitable pond coverage rate (pond capacity per unit area) was 2.92 × 10 m/km. Suitable water supply and operational rules for adjusting crop planting structure were also developed the water-saving irrigation method and irrigation system. To guarantee rural domestic water demand, the multi-year average total irrigation water deficit of the study area decreased by 4.66 × 10 m/km; the average multi-year water deficit ratio decreased from 20.40% to 1.18%; the average multi-year irrigation benefit increased by 1.11 × 10 RMB (16,128$)/km; and the average multi-year revenue increased by 6.69%. Both the economic and social benefits were significant. The results of this study provide a theoretical basis and technological support for comprehensive pone governance in the Jiang-Huai hilly regions and promote the establishment of a water allocation scheme and irrigation system for pond irrigation districts, which have practical significance and important application value.

摘要

由于江淮丘陵地区池塘灌溉系统水资源管理规定的重要性和复杂性,本研究基于系统模拟理论开发了一种池塘灌区配水模拟模型。为了在保证农村生活用水需求的同时最大限度地提高农业灌溉效益,开发了池塘灌区水资源优化调控模型和池塘灌溉系统基于模拟的优化水资源调控技术体系。利用该系统,确定了适宜的池塘覆盖率(单位面积的池塘容量)为 2.92×10 m/km。还制定了适合的供水和调整作物种植结构的运营规则、节水灌溉方法和灌溉系统。为了保证农村生活用水需求,研究区多年平均总灌溉水量亏缺减少了 4.66×10 m/km;多年平均亏缺率从 20.40%降低到 1.18%;多年平均灌溉效益增加了 1.11×10 人民币(16128 美元)/km;多年平均收入增加了 6.69%。经济效益和社会效益都很显著。本研究结果为江淮丘陵地区全面池塘治理提供了理论基础和技术支持,推动了池塘灌区配水方案和灌溉系统的建立,具有重要的实际意义和重要的应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/7d1e41493b5c/ijerph-16-02717-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/5fe672770114/ijerph-16-02717-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/3f853fb2a8a2/ijerph-16-02717-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/a8f02d91b4a1/ijerph-16-02717-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/9c932f535069/ijerph-16-02717-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/34c0afc82fa6/ijerph-16-02717-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/7d1e41493b5c/ijerph-16-02717-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/5fe672770114/ijerph-16-02717-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/3f853fb2a8a2/ijerph-16-02717-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/a8f02d91b4a1/ijerph-16-02717-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/9c932f535069/ijerph-16-02717-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/34c0afc82fa6/ijerph-16-02717-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d26/6695888/7d1e41493b5c/ijerph-16-02717-g006.jpg

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本文引用的文献

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Sustainable Water Resource Management of Regulated Rivers under Uncertain Inflow Conditions Using a Noisy Genetic Algorithm.基于噪声遗传算法的不确定来流下受调节河流的可持续水资源管理
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Assessment of the ecosystem services provided by ponds in hilly areas.丘陵地区池塘提供的生态系统服务评估。
Sci Total Environ. 2018 Nov 15;642:979-987. doi: 10.1016/j.scitotenv.2018.06.138. Epub 2018 Jun 19.
3
An ecosystem service approach to support integrated pond management: a case study using Bayesian belief networks--highlighting opportunities and risks.
一种支持综合池塘管理的生态系统服务方法:使用贝叶斯信念网络的案例研究——突出机遇与风险
J Environ Manage. 2014 Dec 1;145:79-87. doi: 10.1016/j.jenvman.2014.06.015. Epub 2014 Jul 5.
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Development of a decision support system for small reservoir irrigation systems in rainfed and drought prone areas.雨养及易旱地区小型水库灌溉系统决策支持系统的开发
Water Sci Technol. 2010;61(11):2779-85. doi: 10.2166/wst.2010.193.