使用CatBoost算法了解意大利重大地质水文灾害的空间模式
Samuele Segoni1, Nicola Nocentini1, Rajendran Shobha Ajin1
1Department of Earth Sciences (DST), University of Florence (UNIFI), Via G. La Pira 4, Florence 50121, Italy.
The Science of the total environment
|August 30, 2025
概括
人为因素,如土壤密封和社会经济地位, 显著推动意大利的地质水文灾害, 超越物理特征. 在脆弱地区的城市化及其下游影响往往被忽视.
科学领域:
- 地球与环境科学
- 地质科学
- 水文学
背景情况:
- 地质水文灾害带来了重大风险,其影响超出了即时事件.
- 了解这些灾害的空间模式和驱动因素对于有效的风险管理至关重要.
研究的目的:
- 调查意大利重大地质水文灾害的空间模式.
- 通过紧急状态的几个月 (MES) 确定影响灾害复发和影响持续性的关键诱导因素.
- 分析环境,土地规划,土壤密封和社会经济因素之间的相互作用.
主要方法:
- 采用了三步特征选择过程 (皮尔森相关性,多线性,ReliefF).
- 使用CatBoost回归模型预测紧急状态的月份 (MES).
- 部分依赖图用于解释预测因子和MES之间的复杂关系.
主要成果:
- 发现人类因素 (领土规划,社会经济指标) 比物理特征更有影响力.
- 中等危险地区的土壤密封显示出与MES的强烈直接关系,超过高危险地区的关系.
- 国内生产总值显示混合效应,较富裕的地区显示出更高的暴露率,但也显示出更强的弹性;TWI强调了小水道的重要性.
结论:
- 目前的危险分类和规划法规可能需要修订,特别是在脆弱地区的土壤密封和城市化方面.
- 社会经济因素在灾害动态中起着至关重要的作用,
- 减缓战略应该重新考虑优先事项,可能更多地关注较小的水道和城市化的下游后果.
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