量化根凝聚力空间异质性使用遥感来改善山体滑坡易感性建模:家川山体滑坡的案例研究
Zelang Miao1,2, Yaopeng Xiong1,2, Zhiwei Cheng1,2
1School of Geoscience and Info-Physics, Central South University, Changsha 410083, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
这项研究揭示了根凝聚力空间异质性如何影响洛斯高原的山体滑坡分布. 遥感精确地绘制了根凝聚力的地图,改善了滑坡风险评估,以便更好地规划土地利用.
科学领域:
- 地质科学 地质科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 现有的山体滑坡模型往往过于简化了根基强化,这是土壤稳定的关键因素.
- 了解根凝聚力的空间异质性对于准确预测雨水引起的山体滑坡至关重要.
研究的目的:
- 调查根凝聚力空间异质性对洛斯高原降雨引起的山体滑坡分布的影响.
- 开发和验证基于遥感的模型,用于量化根凝聚力异质性.
主要方法:
- 使用Landsat和GaoFen卫星图像来量化空间异质性的区域根凝聚力逆转模型.
- 将模型与土地使用特定的水文参数和无限斜坡稳定模型集成.
- 使用高分辨率的降雨前后高芬卫星图像验证的山体滑坡库存.
主要成果:
- 与更简单的方法相比,开发的模型显著改善了山体滑坡易感性预测.
- 农田的滑坡风险最高,其次是人工森林和二级森林.
- 在降雨事件发生后,山体滑坡的易感性动态增加.
结论:
- 基于遥感驱动的根凝聚力测绘对于有效的山体滑坡风险评估至关重要.
- 结果为洛斯高原的土地利用规划和灾害减缓提供了可操作的见解.
- 准确地描述根凝聚力异质性可以提高坡度稳定性模型的可靠性.
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