相关实验视频
Updated: Jun 29, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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根据GA-BP模型评估安省的水资源安全
Gang He1, Shuhang Zhao2, Xiaodong Wang1
1School of Economics and Management, Anhui University of Science and Technology, Huainan, China.
概括
在2006-2020年期间,安省的水资源安全性得到了显著改善,稳定在安全水平. 环境安全仍然是最弱的领域,需要针对可持续发展进行有针对性的干预.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 区域可持续发展 区域可持续发展
背景情况:
- 目前的水资源安全评估系统缺乏科学严谨性和算法优化.
- 安省在准确评估和加强水资源安全方面面临着挑战.
- 现有的模型表现出缓慢的融合和对局部最佳的敏感性.
研究的目的:
- 为安省水资源安全制定一个科学和优化的评估系统.
- 提高概括能力,克服传统评估模型的局限性.
- 为增强区域可持续发展提供数据驱动的基础.
主要方法:
- 根据安省的具体条件进行指标选择.
- 使用相关性分析 (CA) 和主要组件分析 (PCA) 进行尺寸缩小.
- 科学评估采用优化的遗传算法逆向传播神经网络 (GA-BP).
主要成果:
- 安省的水资源安全从2006年到2020年表现出明显的上升趋势.
- 2014年至2020年间,安全水平稳定,表明持续改善.
- 水资源环境安全子系统被确定为最不安全的,其次是社会和经济安全.
结论:
- GA-BP模型提供了改进的概括性,克服了传统模型的局限性.
- 水资源环境安全需要集中注意力和战略干预.
- 这些发现为有关水资源管理的政府,社会和科学决策提供了关键的见解.
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