Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285043534> ?p ?o ?g. }
- W4285043534 endingPage "2255" @default.
- W4285043534 startingPage "2239" @default.
- W4285043534 abstract "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." @default.
- W4285043534 created "2022-07-13" @default.
- W4285043534 creator A5013412088 @default.
- W4285043534 creator A5033459057 @default.
- W4285043534 creator A5057269185 @default.
- W4285043534 creator A5059585326 @default.
- W4285043534 creator A5072315367 @default.
- W4285043534 creator A5073861665 @default.
- W4285043534 creator A5090120766 @default.
- W4285043534 date "2022-07-11" @default.
- W4285043534 modified "2023-09-26" @default.
- W4285043534 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" @default.
- W4285043534 cites W1612523377 @default.
- W4285043534 cites W1894964368 @default.
- W4285043534 cites W1969567670 @default.
- W4285043534 cites W1970928522 @default.
- W4285043534 cites W1973106681 @default.
- W4285043534 cites W1977993961 @default.
- W4285043534 cites W1980725494 @default.
- W4285043534 cites W1982623886 @default.
- W4285043534 cites W1982948123 @default.
- W4285043534 cites W1983873393 @default.
- W4285043534 cites W1991155470 @default.
- W4285043534 cites W1992339502 @default.
- W4285043534 cites W1993753658 @default.
- W4285043534 cites W1999206239 @default.
- W4285043534 cites W1999514221 @default.
- W4285043534 cites W2000187559 @default.
- W4285043534 cites W2000351457 @default.
- W4285043534 cites W2002139005 @default.
- W4285043534 cites W2006968845 @default.
- W4285043534 cites W2011051890 @default.
- W4285043534 cites W2013377700 @default.
- W4285043534 cites W2014143498 @default.
- W4285043534 cites W2016383277 @default.
- W4285043534 cites W2016708575 @default.
- W4285043534 cites W2017154153 @default.
- W4285043534 cites W2018612134 @default.
- W4285043534 cites W2021675301 @default.
- W4285043534 cites W2024317610 @default.
- W4285043534 cites W2027387749 @default.
- W4285043534 cites W2031832993 @default.
- W4285043534 cites W2041117772 @default.
- W4285043534 cites W2044047261 @default.
- W4285043534 cites W2045076638 @default.
- W4285043534 cites W2051621852 @default.
- W4285043534 cites W2053449690 @default.
- W4285043534 cites W2054814794 @default.
- W4285043534 cites W2054982407 @default.
- W4285043534 cites W2056214587 @default.
- W4285043534 cites W2065771669 @default.
- W4285043534 cites W2067181278 @default.
- W4285043534 cites W2069466196 @default.
- W4285043534 cites W2075164978 @default.
- W4285043534 cites W2075993644 @default.
- W4285043534 cites W2077323522 @default.
- W4285043534 cites W2078827844 @default.
- W4285043534 cites W2080979633 @default.
- W4285043534 cites W2082507487 @default.
- W4285043534 cites W2085383017 @default.
- W4285043534 cites W2096961829 @default.
- W4285043534 cites W2097033979 @default.
- W4285043534 cites W2113746882 @default.
- W4285043534 cites W2117256684 @default.
- W4285043534 cites W2130039765 @default.
- W4285043534 cites W2138612078 @default.
- W4285043534 cites W2147555471 @default.
- W4285043534 cites W2159782581 @default.
- W4285043534 cites W2161428873 @default.
- W4285043534 cites W2166485318 @default.
- W4285043534 cites W2279661910 @default.
- W4285043534 cites W2306150165 @default.
- W4285043534 cites W2342033740 @default.
- W4285043534 cites W2562684560 @default.
- W4285043534 cites W2563208014 @default.
- W4285043534 cites W2741517055 @default.
- W4285043534 cites W2900342422 @default.
- W4285043534 cites W2900440658 @default.
- W4285043534 cites W2940976037 @default.
- W4285043534 cites W2970779614 @default.
- W4285043534 cites W3016783535 @default.
- W4285043534 cites W3021619143 @default.
- W4285043534 cites W3087192809 @default.
- W4285043534 cites W3097879561 @default.
- W4285043534 cites W3107715517 @default.
- W4285043534 cites W3137712336 @default.
- W4285043534 cites W3158855072 @default.
- W4285043534 cites W3162346704 @default.
- W4285043534 cites W37548659 @default.
- W4285043534 cites W4211007335 @default.
- W4285043534 cites W4361866000 @default.
- W4285043534 cites W57656805 @default.
- W4285043534 doi "https://doi.org/10.5194/nhess-22-2239-2022" @default.
- W4285043534 hasPublicationYear "2022" @default.
- W4285043534 type Work @default.
- W4285043534 citedByCount "3" @default.
- W4285043534 countsByYear W42850435342022 @default.
- W4285043534 countsByYear W42850435342023 @default.