Debris flow susceptibility assessment based on topo-hydrological factors at different unit scales: a case study of Mentougou district, Beijing

Li, Zhihai; Chen, Jianping; Tan, Chun; Zhou, Xin; Li, Yuchao; Han, Mengxia

doi:10.1007/s12665-021-09665-9

Cited by 20 publications

(11 citation statements)

References 58 publications

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“…Watershed topography has a substantial impact on hydrological processes, land forms, and biological activities [54] (Figure 3). We selected five factors: DEM, area, RED AS, and Rr.…”

Section: Geomorphological Conditionsmentioning

confidence: 99%

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

et al. 2022

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Debris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters occur frequently, seriously threatening the lives of residents, infrastructure, and regional ecological security. However, there are few studies on the risk assessment of mountainous debris flow disasters in the BRB. By considering a complete catchment, based on remote sensing and GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, average annual precipitation, landslide density, river density, fault density, etc. and applied a machine learning algorithm to establish a hazard assessment model. The analysis shows that the Extra Trees model is the most effective for debris flow hazard assessments, with an accuracy rate of 88%. Based on socio-economic data and debris flow disaster survey data, we established a vulnerability assessment model by applying the Contributing Weight Superposition method. We used the product of debris flow hazard and vulnerability to construct a debris flow risk assessment model. The catchments at a very high-risk were distributed mainly in the urban area of Wudu District and the northern part of Tanchang County, that is, areas with relatively dense economic activities and a high disaster frequency. These findings indicate that the assessment results provide scientific support for planning measures to prevent or reduce debris flow hazards. The proposed assessment methods can also be used to provide relevant guidance for a regional risk assessment of debris flows in the BRB and other regions.

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“…Watershed topography has a substantial impact on hydrological processes, land forms, and biological activities [54] (Figure 3). We selected five factors: DEM, area, RED AS, and Rr.…”

Section: Geomorphological Conditionsmentioning

confidence: 99%

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

et al. 2022

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“…CC BY 4.0 License. hydrological response unit for susceptibility of debris flow has greater advantages (Li et al 2021b;Zou et al 2019). 119 Finally, basins are divided after removing the flat and irregular areas (Fig.…”

Section: Debris Flow Basin Division and Inventorymentioning

confidence: 99%

“…Mass movements in Beijing range in scale from shallow slope failures and rockfalls to catastrophic rock avalanches frequently mobilize to form debris flows, threatening the ecological environment of the mountainous area (Zhong et al 2004). Especially, in recent years, due to the superposition of extreme rainstorm weather and human engineering activities, debris flow events have increased gradually (Li et al 2021b). Besides, as the capital of China, Beijing has strong influence and radiation at home and abroad, where geological disasters are widely concerned (Li et al 2020a;Xie et al 2004).…”

Section: Introductionmentioning

confidence: 99%

GIS-models with fuzzy logic for Susceptibility Maps of debris flow using multiple types of parameters: A Case Study in Pinggu District of Beijing, China

Zhang

Chen

Wang

et al. 2021

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Abstract. Debris flow is one of the main causes of life loss and infrastructure damage in mountainous areas, so these hazards must be recognized in the early stage of land development planning. According to field investigation and expert experience, a scientific and effective quantitative susceptibility assessment model was established in Pinggu District of Beijing. This model is based on Geographic Information System (GIS), combining with grey relational method, data-driven and fuzzy logic methods. The inherent influence factors, which are divided into two categories, are selected in the model consistent with the system characteristics of debris flow gully and some new factors are proposed. The results of the 17 models are verified by the results published by the authority, and validated by the other two indexes as well as Area Under Curve (AUC). Through the comparison and analysis of the results, the method to optimize is proposed, including reasonable application of field investigation and expert experience, simplification of factors and scientific classification. Finally, the final optimal susceptibility map with full discussion has the potential to help in determining regional-scale land use planning and debris flow hazard mitigation for decision makers, with full use of insufficient data, scientific calculation, and reliable results. The model has advantages in economically backward areas with insufficient data in mountainous areas.

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“…Then based on the Hydrology module in ArcGIS 10.2, the research object can be determined. Compared with grid unit and slope unit, hydrological response unit for susceptibility of debris flow has greater advantages (Li et al 2021b;Zou et al 2019).…”

Section: Debris Flow Basin Division and Inventorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comment on nhess-2021-254

2021

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Debris flow susceptibility assessment based on topo-hydrological factors at different unit scales: a case study of Mentougou district, Beijing

Cited by 20 publications

References 58 publications

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

GIS-models with fuzzy logic for Susceptibility Maps of debris flow using multiple types of parameters: A Case Study in Pinggu District of Beijing, China

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