Applicability of Hydrologic Response Units in low topographic relief catchments and evaluation using high resolution aerial photograph analysis

Khan, Urooj; Tuteja, Narendra; Sharma, Ashish; Lucas, Stuart; Murphy, Brian; Jenkins, Brian R.

doi:10.1016/j.envsoft.2016.03.010

Cited by 11 publications

(4 citation statements)

References 37 publications

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“…In this study, the susceptibility assessment of debris flow hazard was based on the drainage basin unit. In such a model, a hydrological response unit can fully represent the hillside hydrological process and will make the results more meaningful (Khan et al, 2013(Khan et al, , 2016Zou et al, 2019). First, drainage networks were extracted from the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) digital elevation model (DEM) by using the ArcGIS ArcHydro Toolbox, and regions without obvious watershed characteristics were directly deleted.…”

Section: Methodsmentioning

confidence: 99%

Geographic information system 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

Chen²,

Wang³

et al. 2022

Nat. Hazards Earth Syst. Sci.

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Abstract. Debris flow is one of the main causes of loss of life and infrastructure damage in mountainous areas. This hazard should 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) combined with grey relational, data-driven and fuzzy logic methods. The influence factors, which are divided into two categories and consistent with the system characteristics of a debris flow gully, are selected, but also a new important factor is proposed. The results of the 17 models are verified using data published by the authority and validated by two other indexes, as well as area under curve (AUC). Through the comparison and analysis of the results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters. These parameters fit well with the watershed units. With full use of insufficient data, scientific calculation and reliable results, the final optimal susceptibility map could potentially help decision makers in determining regional-scale land use planning and debris flow hazard mitigation. The model has advantages in economically weak areas with insufficient data in mountainous areas because of its simplicity, interpretability and engineering usefulness.

show abstract

Section: Methodsmentioning

confidence: 99%

Geographic information system 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

Chen²,

Wang³

et al. 2022

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

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

Preprint

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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.

show abstract

“…In this study, the susceptibility assessment of debris flow hazard was based on the drainage basins unit. In a debris flow susceptibility assessment model, hydro-logical response unit can fully represent the hydrological process of hillside and will make the results more meaningful (Khan et al 2013;Khan et al 2016;Zou et al 2019). Throughout the modeling process, our primary assumption here are as follows: First, while local properties surely affect the timing, size, and behavior of a mass movement, the dominant control on where they occur is the local surface topography, as it in turn defines local slope and shallow subsurface flow convergence; Second, all the evaluated basins have the possibility of debris flow; Thirdly, each evaluation factors should be available for all basins, otherwise, it should be excluded; Finally, the model should also need to integrate the system characteristics of debris flow disaster, the future development trend of climate change, and the social demand under the theoretical background of the new era to carry out reasonable modeling.…”

Applicability of Hydrologic Response Units in low topographic relief catchments and evaluation using high resolution aerial photograph analysis

Cited by 11 publications

References 37 publications

Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China

Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, 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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