In flood susceptibility assessment, is it scientifically correct to represent flood events as a point vector format and create flood inventory map?

被引：18

作者：

Al-Abadi, Alaa M. ^{[1
]}

Pradhan, Biswajeet ^{[2
,3
,4
,5
]}

机构：

[1] Univ Basrah, Coll Sci, Dept Geol, Basrah, Iraq

[2] Univ Technol Sydney, Fac Engn & IT, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Sydney, NSW 2007, Australia

[3] Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro Gwangjin Gu, Seoul 05006, South Korea

[4] King Abdulaziz Univ, Ctr Excellence Climate Change Res, POB 80234, Jeddah 21589, Saudi Arabia

[5] Univ Kebangsaan Malaysia, Earth Observat Ctr, Inst Climate Change, Bangi 43600, Selangor, Malaysia

来源：

JOURNAL OF HYDROLOGY | 2020年 / 590卷

关键词：

Floods; Susceptibility; GIS; Data-driven model; FUZZY-LOGIC; BIVARIATE; MODEL; TREES; COUNTY; AHP;

D O I：

10.1016/j.jhydrol.2020.125475

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this discussion article, we try to highlight and discuss the wrong way for representing an areal phenomenon "flood" as a point vector format in GIS-based flood susceptibility studies and creating what is called "flood inventory map". Two examples from the literature were taken to show that a flood event cannot be represented by point except with very small map scales (1: 10000000) and this flood event should be with other flood events to form the "flood inventory map". With the help of the other two examples from the previous studies, this article showed the wrong used way for representing flood worldwide and suggested an appropriate method for mapping flood susceptibility.

引用

页数：9

共 42 条

[1] Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA) [J].