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基于设置对分析的区域水资源承载能力的空间差异分析和驱动因素诊断
Rongxing Zhou1,2, Juliang Jin2, Yuliang Zhou2
1School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, 230601, China.
Heliyon
|November 7, 2024
概括
安省的区域水资源承载能力 (WRCC) 从2011-2020年增加,空间差异减少. 确定的主要驱动因素包括水模块,GDP和生态因素,指导水资源管理政策.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 区域规划 地区规划
背景情况:
- 区域水资源承载能力 (WRCC) 对于解决水资源短缺和为水资源管理政策提供信息至关重要.
- 分析WRCC的空间差异和驱动因素对于实施"空间平衡"等有效的水控制策略至关重要.
研究的目的:
- 开发和应用一个综合模型来评估区域WRCC并诊断其空间差异和关键驱动因素.
- 为提高WRCC评估的可比性和分析深度提供一个强大的框架.
主要方法:
- 从水资源,社会经济和环境方面选择的评估指标.
- 用加快基因算法 (FAHP-AGA) 的模糊分析层次过程确定指标权重.
- 使用集合对分析 (SPA) 进行的WRCC评估和空间差异分析.
主要成果:
- 安省的WRCC从2011年到2020年表现出日益增长的趋势,平均城市增长超过0.3.
- 在WRCC的空间差异减少,吉尼系数从0.16降至0.08.
- 确定了空间WRCC差异的关键驱动因素:水模块,用水效率 (每10,000元GDP),用水结构平衡,人均GDP,人口密度,森林覆盖面和肥料应用.
结论:
- 开发的FAHP-AGA-SPA模型为WRCC评估提供了更好的可比性和多因素相互作用分析.
- 结果为制定区域WRCC法规和实施"空间平衡"水资源管理政策提供了关键的见解.
- 该研究强调了水文,经济和环境因素在塑造区域水资源能力方面的相互作用.
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