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基于InSAR的黄土高原延河流域滑坡降雨阈值模型构建

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[目的]经验性降雨阈值存在地域局限性,在黄土高原开展滑坡灾害降雨阈值模型研究具有重要意义。[方法]以黄土高原延河流域为研究区,综合Sentinel-1A、DEM、GPM降雨等多源数据,首先基于时序InSAR对延河流域进行滑坡识别;然后计算降雨因子与滑坡形变量间的相关性,确定前期降雨天数和前期有效降雨衰减系数;最后计算前期有效降雨量(E)、降雨强度(I)和降雨历时(D),并结合幂函数建立E-D、I-D和E-I降雨阈值模型。[结果](1)共识别出2017-2021年107个滑坡,包括滑坡的具体位置和加速变形时间;(2)随着前期降雨天数的增加,累积降雨量与滑坡形变量的相关性呈先升后降的趋势;当前期有效降雨衰减系数K=1时,9天有效累积降雨量(滑坡发生当日及前8日降雨量)与滑坡形变量的相关性最强;(3)E-D、I-D和E-I降雨阈值模型对应的表达式分别为E=12。19D0。661,I=10。66D-0。255和E=3。84I1。141。[结论]E-D、I-D和E-I降雨阈值模型将为黄土高原延河流域滑坡灾害的气象预警提供科学依据和借鉴。
Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin,Chinese Loess Plateau
[Objective]Empirical rainfall thresholds have geographical limitations,it is of great significance to carry out a rainfall threshold modeling study for landslide hazard on the Chinese Loess Plateau.[Methods]Taking the Yanhe River Basin on the Loess Plateau as the research area,the landslide identification of the Yanhe River Basin based on InSAR was carried out by integrating Sentinel-1A,DEM,GPM rainfall and other multi-source data.Then the correlations between rainfall factors and landslide shape variables were calculated to determine the rainfall days and effective rainfall attenuation coefficient in the early period.Finally,the effective rainfall(E),rainfall intensity(I)and rainfall duration(D)were calculated,and the E-D,I-D and E-I rainfall threshold models were established by combining the power function.[Results](1)A total of 107 landslides from 2017 to 2021 were identified,including the specific location and accelerated deformation time of landslides.(2)With the increase of rainfall days in the early period,the correlations between cumulative rainfall and landslide shape variables showed a trend of first increasing and then decreasing.When the attenuation coefficient of effective rainfall in the current period(K)was equal to 1,the correlation between the effective cumulative rainfall in nine days(the rainfall on the day of landslide occurrence and the rainfall in the previous eight days)and the landslide shape variable was the strongest.(3)The expressions corresponding to the E-D,I-D and E-I rainfall threshold models are E=12.19D0.661,I=10.66D-0.255 and E=3.84I1.141,respectively.[Conclusion]The rainfall threshold model can provide a scientific basis and reference for meteorological early warning of landslide hazards in the Yanhe Basin of the Chinese Loess Plateau.

Yanhe River BasinlandslidesInSARStackingrainfall thresholds

汪珍亮、陈曼玉、赵建林、袁可、杨节、张晨

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长安大学地质工程与测绘学院,西安 710054

延河流域 滑坡 InSAR Stacking 降雨阈值

2024

水土保持学报
中国土壤学会 中国科学院水利部水土保持研究所

水土保持学报

CSTPCD北大核心
影响因子:1.226
ISSN:1009-2242
年,卷(期):2024.38(6)