A hyperspectral detection model for permeability coefficient of debris flow fine-grained sediments, Southwestern China  

作　　者：Qinjun Wang Jingjing Xie Jingyi Yang Peng Liu Dingkun Chang Wentao Xu 

机构地区：[1]International Research Center of Big Data for Sustainable Development Goals,Beijing,People’s Republic of China [2]Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,People’s Republic of China [3]University of Chinese Academy of Sciences,Yanqi Lake Campus of Chinese Academy of Sciences University,Beijing,People’s Republic of China [4]Key Laboratory of the Earth Observation of Hainan Province,Hainan Aerospace Information Research Institute,Sanya,People’s Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期1589-1606,共18页国际数字地球学报（英文）

基　　金：funded in part by the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals[grant number CBAS2022IRP03];the National Natural Science Foundation of China[grant number 42071312];the Hainan Hundred Special Project[grant number 31,JTT[2018]].

摘　　要：Fine-grained sediments are Quaternary sediments with grain sizes of not more than 2 mm.They startfirst when meeting water,their stability is related to the initial water volume triggering debrisflow,and thus plays an important role in debrisflow hazards early warning.The permeability coefficient is the inter-controlled factor offine-grained sediment stability.However,there is no hyperspectral model for detecting thefine-grained sediment permeability coefficient in large areas,which seriously affects the progress of debrisflow hazards early warning.Therefore,it is of great significance to establish a hyperspectral detection model for the permeability coefficient offine-grained sediments.Taking Beichuan County,Southwestern China as the case,a permeability coefficient hyperspectral detection model was established.The results show that eight bands are sensitive to the permeability coefficient with correlation coefficient(R)of 0.6343.T-test on the model shows that P-a values for sensitive bands are all less than 0.05,indicating the established model has a good prediction ability with a precision of 85.83%.These sensitive bands also indicate the spectral characteristics of the permeability coefficient.Therefore,it provides a scientific basis forfine-grained sediment stability detection in large areas and lays a theoretical foundation for debrisflow hazards’early warning.

关 键 词：Beichuan debris flow fine-grained sediments permeability coefficient hyperspectral detection model 

分 类 号：P642.23[天文地球—工程地质学]