水土保持学报2023，Vol.37Issue(6)：34-41,8.DOI:10.13870/j.cnki.stbcxb.2023.06.005
基于MaxEnt模型的怒江大峡谷泥石流易发性评价和成因
Assessment and Causes of Debris Flow Susceptibility in the Nvjiang Grand Canyon Based on Maxent Model
摘要
Abstract
In order to study the division of debris flow vulnerability and the sensitivity evaluation of environmental factors,9 environmental factors,including precipitation,elevation,slope,aspect,runoff,lithology,fault,normalized differential vegetation index and soil erosion modulus,were selected to evaluate the vulnerability of 187 debris flow gullies based on the maximum entropy(Maxent)model.The results showed that the main factors leading to debris flow were runoff,elevation,precipitation,lithology,fault,slope,normalized differential vegetation index,soil erosion modulus and slope aspect.Based on the probability of debris flow hazards,the vulnerability zoning was carried out.It was found that the Gongshan Derung and Nu Autonomous County-Fugong section had the highest vulnerability,with an AUC of 0.974 and a standard deviation of 0.010.The results of the model analysis were consistent with the actual results.Compared with mountain torrents,the sensitivity of debris flow to environmental factors is more complex than that of mountain torrents.The reason of the complex sensitivity of environmental factors of debris flow is proved by the method of energy analysis.Runoff energy is shown to have the highest contribution to the formation of disasters in the Salween River Grand Canyon Debris.关键词
泥石流/山洪/易发性评价/MaxEnt模型/怒江Key words
debris flow/mountain flood/vulnerability assessment/MaxEnt model/Nujiang River分类
天文与地球科学引用本文复制引用
皋子琪,吕立群,马超,周冠宇,黄锋,陶正想,梁锦杭..基于MaxEnt模型的怒江大峡谷泥石流易发性评价和成因[J].水土保持学报,2023,37(6):34-41,8.基金项目
第二次青藏高原综合科学考察项目(2019 QZKK0903) （2019 QZKK0903）
国家自然科学基金项目(41907229) （41907229）
