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
<p>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 susceptibil...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-07-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://nhess.copernicus.org/articles/22/2239/2022/nhess-22-2239-2022.pdf |
| _version_ | 1811218976354598912 |
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| author | Y. Zhang J. Chen Q. Wang C. Tan C. Tan Y. Li Y. Li Y. Li X. Sun Y. Li |
| author_facet | Y. Zhang J. Chen Q. Wang C. Tan C. Tan Y. Li Y. Li Y. Li X. Sun Y. Li |
| author_sort | Y. Zhang |
| collection | DOAJ |
| description | <p>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.</p> |
| first_indexed | 2024-04-12T07:18:06Z |
| format | Article |
| id | doaj.art-2a025c02b3264444a20c1d63c3bd3496 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-04-12T07:18:06Z |
| publishDate | 2022-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-2a025c02b3264444a20c1d63c3bd34962022-12-22T03:42:25ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812022-07-01222239225510.5194/nhess-22-2239-2022Geographic 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, ChinaY. Zhang0J. Chen1Q. Wang2C. Tan3C. Tan4Y. Li5Y. Li6Y. Li7X. Sun8Y. Li9College of Construction Engineering, Jilin University, Changchun, Jilin 130026, ChinaCollege of Construction Engineering, Jilin University, Changchun, Jilin 130026, ChinaCollege of Construction Engineering, Jilin University, Changchun, Jilin 130026, ChinaChina Water Northeastern Investigation, Design and Research Co., Ltd, Changchun, Jilin 130026, ChinaNorth China Power Engineering Co., Ltd. of China Power Engineering Consulting Group, Changchun, Jilin 130000, ChinaKey Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, University of Chinese Academy of Sciences, Beijing 100029, ChinaUniversity of Chinese Academy of Sciences, Beijing 100029, ChinaInnovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, ChinaDepartment of Earth Sciences and Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, ChinaBeijing institute of geological and prospecting engineering, Beijing, Beijing 100020, China<p>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.</p>https://nhess.copernicus.org/articles/22/2239/2022/nhess-22-2239-2022.pdf |
| spellingShingle | Y. Zhang J. Chen Q. Wang C. Tan C. Tan Y. Li Y. Li Y. Li X. Sun Y. Li 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 Natural Hazards and Earth System Sciences |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://nhess.copernicus.org/articles/22/2239/2022/nhess-22-2239-2022.pdf |
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