Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province

To study the susceptibility of debris flow in Kangding City, the study area was divided into 421 watershed units. Spatial analysis tools in ArcGIS software and SPSS software were used to analyze the internal superposition of evaluation indicators and the correlation between evaluation indicators and...

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Main Authors: Feng WANG, Fan YANG, Zhongrong JIANG, E WU, Guan WANG
Format: Article
Language:zho
Published: Editorial Office of The Chinese Journal of Geological Hazard and Control 2023-06-01
Series:Zhongguo dizhi zaihai yu fangzhi xuebao
Subjects:
Online Access:https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202205038
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author Feng WANG
Fan YANG
Zhongrong JIANG
E WU
Guan WANG
author_facet Feng WANG
Fan YANG
Zhongrong JIANG
E WU
Guan WANG
author_sort Feng WANG
collection DOAJ
description To study the susceptibility of debris flow in Kangding City, the study area was divided into 421 watershed units. Spatial analysis tools in ArcGIS software and SPSS software were used to analyze the internal superposition of evaluation indicators and the correlation between evaluation indicators and debris flows disasters. By screening out the evaluation factors with a high degree of overlap and poor correlation, eight evaluation factors were selected for debris flow susceptibility assessment. These included watershed unit area, melton rate, form factor ratio, collapse and landslides density of catchment, average fractional vegetation cover of catchment, road density of catchment, average stream power index of catchment, and average rainfall during the multi-year flood season. The susceptibility of debris flow was quantitatively evaluated by combining the information value model and the entropy method. The weights of the evaluation indicators were quantitatively determined by the entropy method, and the evaluation factor weighted information quantity value was calculated. Based on this, the debris flow susceptibility in Kangding City was divided into four grades: extremely high, high, medium and low. The results of debris flow susceptibility assessment were tested using the frequency ratio model and the Receiver-Operating Characteristic (ROC) curve, with an AUC curve of 0.842, indicating high accuracy of the evaluation model.
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spelling doaj.art-6db4ca88b95c4206ad7b8d6d209d86292023-11-01T02:06:18ZzhoEditorial Office of The Chinese Journal of Geological Hazard and ControlZhongguo dizhi zaihai yu fangzhi xuebao1003-80352023-06-0134314515610.16031/j.cnki.issn.1003-8035.202205038202205038Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan ProvinceFeng WANG0Fan YANG1Zhongrong JIANG2E WU3Guan WANG4Sichuan Geological Environment Survey and Research Center, Chengdu, Sichuan 610081, ChinaSichuan Geological Environment Survey and Research Center, Chengdu, Sichuan 610081, ChinaSichuan Geological Environment Survey and Research Center, Chengdu, Sichuan 610081, ChinaSichuan Geological Environment Survey and Research Center, Chengdu, Sichuan 610081, ChinaSichuan Geological Environment Survey and Research Center, Chengdu, Sichuan 610081, ChinaTo study the susceptibility of debris flow in Kangding City, the study area was divided into 421 watershed units. Spatial analysis tools in ArcGIS software and SPSS software were used to analyze the internal superposition of evaluation indicators and the correlation between evaluation indicators and debris flows disasters. By screening out the evaluation factors with a high degree of overlap and poor correlation, eight evaluation factors were selected for debris flow susceptibility assessment. These included watershed unit area, melton rate, form factor ratio, collapse and landslides density of catchment, average fractional vegetation cover of catchment, road density of catchment, average stream power index of catchment, and average rainfall during the multi-year flood season. The susceptibility of debris flow was quantitatively evaluated by combining the information value model and the entropy method. The weights of the evaluation indicators were quantitatively determined by the entropy method, and the evaluation factor weighted information quantity value was calculated. Based on this, the debris flow susceptibility in Kangding City was divided into four grades: extremely high, high, medium and low. The results of debris flow susceptibility assessment were tested using the frequency ratio model and the Receiver-Operating Characteristic (ROC) curve, with an AUC curve of 0.842, indicating high accuracy of the evaluation model.https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202205038debris flowsusceptibility assessmentkangding citywatershed unitinformation value
spellingShingle Feng WANG
Fan YANG
Zhongrong JIANG
E WU
Guan WANG
Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
Zhongguo dizhi zaihai yu fangzhi xuebao
debris flow
susceptibility assessment
kangding city
watershed unit
information value
title Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
title_full Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
title_fullStr Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
title_full_unstemmed Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
title_short Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province
title_sort susceptibility assessment of debris flow based on watershed units in kangding city sichuan province
topic debris flow
susceptibility assessment
kangding city
watershed unit
information value
url https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202205038
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