山区定居点的洪水风险:一个新的框架,基于一个可解释的NSGA-II-GB从一个点-区域二元性视角
Qijiang Wu1, Zhe Sun1, Zhan Wang2
1College of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, 1 Zhanlanguan Road, Beijing, 100044, China.
Journal of environmental management
|January 3, 2025
概括
本研究引入了一个平均波器 (MF),用于在数据稀缺的山区进行洪水风险评估. 结合多目标优化,MF有效地识别了关键的洪水易感特征,提高了模型性能.
科学领域:
- 环境科学 环境科学
- 水文学 水文学
- 地理空间分析的研究.
背景情况:
- 气候变化加剧了极端降雨,增加了山区的洪水风险.
- 由于地理和社会经济数据有限,这些地区的洪水风险评估难以准确.
研究的目的:
- 为数据稀缺的山区开发一种新的洪水易感性评估方法.
- 在洪水建模中评估平均波器 (MF) 和多目标优化对特征选择的有效性.
主要方法:
- 采用了基于点区域二元性的平均波器 (MF) 方法.
- 多目标优化算法 (NSGA-II,SPEA2,NSPSO) 用于洪水易感性特征的选择.
- 克里蒂克-托普西斯评估了产生的帕雷托前线,SHAP分析确定了关键的贡献因素.
主要成果:
- 在生成最佳特征子集方面,NSGA-II超过了其他算法.
- 选择的功能显著改善了洪水易感性模型的验证,GB模型表现最高.
- 在50米缓冲区内的地形湿度指数作为主要的洪水风险指标出现.
结论:
- 多边金融战略有效地解决了山区洪水研究中的数据稀缺问题.
- 这种方法为在数据有限的环境中进行洪水风险评估提供了一个强大的新方法.
- 了解地形和缓冲区特征对于预测洪水风险至关重要.
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