Investigating the Feasibility of Using Satellite Rainfall for the Integrated Prediction of Flood and Landslide Hazards over Shaanxi Province in Northwest China

被引：11

作者：

Wang, Sheng ^{[1
,2
,3
]}

Zhang, Ke ^{[1
,2
,3
,4
]}

Chao, Lijun ^{[1
,3
,4
]}

Chen, Guoding ^{[1
,3
]}

Xia, Yi ^{[1
,3
]}

Zhang, Chuntang ^{[1
,3
]}

机构：

[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Peoples R China

[2] Hohai Univ, Yangtze Inst Conservat & Dev, Nanjing 210024, Peoples R China

[3] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Nanjing 210024, Peoples R China

[4] China Meteorol Adm, Hydrometeorol Key Lab, Nanjing 210024, Peoples R China

来源：

REMOTE SENSING | 2023年 / 15卷 / 09期

基金：

中国国家自然科学基金;

关键词：

flood and landslide hazards; coupled modeling; satellite rainfall; hydrological simulation; landslide prediction; DEBRIS FLOW; PRECIPITATION; SYSTEM; MODEL; THRESHOLDS;

D O I：

10.3390/rs15092457

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Rainfall-triggered flood and landslide hazards pose significant threats to human lives and infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall data sets-namely, CMORPH, GPM, and TRMM-for the prediction of flood and landslide hazards using a coupled hydrological-slope stability model. The spatial distribution of annual rainfall from the three satellite data sets was similar to that of gauge rainfall, with an increasing trend from the north to the south of Shaanxi Province. The average annual rainfall of CMORPH was the lowest, while that of TRMM was the highest. The modeled discharges forcing by satellite rainfall generally matched the observed discharges at four hydrological stations for the period 2010-2012, with average correlation coefficients of 0.51, 0.61, and 0.57 for the CMORPH, GPM, and TRMM rainfall, respectively. The exceedance probabilities of modeled discharges for the three satellite rainfall data sets were close to those of the observations, particularly when the discharges were low. Moreover, the landslide prediction results demonstrated that the three satellite rainfall data sets could simulate the spatial distribution of landslide events well; these simulations were consistent with the information in the landslide inventory map. Furthermore, when compared to the classical Intensity-Duration (ID) rainfall threshold method, the physically based slope stability model presented higher global accuracy under all three satellite rainfall data sets. The global accuracy of GPM rainfall was the highest among the three data sets (0.973 for GPM vs. 0.951 for CMORPH and 0.965 for TRMM), indicating that GPM rainfall provides the highest quality compared to CMORPH and TRMM rainfall. These findings provide a crucial basis for the application of satellite rainfall data in the context of flood and landslide prediction.

引用

页数：22

共 55 条

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