Flood inundation modelling: A review of methods, recent advances and uncertainty analysis

被引：869

作者：

Teng, J. ^{[1
,2
]}

Jakeman, A. J. ^{[2
]}

Vaze, J. ^{[1
]}

Croke, B. F. W. ^{[2
]}

Dutta, D. ^{[1
]}

Kim, S. ^{[1
]}

机构：

[1] CSIRO Land & Water, GPOB 1700, Canberra, ACT 2601, Australia

[2] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2017年 / 90卷

关键词：

Flooding; Natural hazards; Large floodplains; High resolution; 1D; 2D; 3D hydrodynamic model; Remote sensing; Environmental flows; GLOBAL SENSITIVITY-ANALYSIS; SMOOTHED PARTICLE HYDRODYNAMICS; DIFFERENCE WATER INDEX; DISTRIBUTED MODELS; SIMULATION; SYSTEM; FLOWS; FLUID; CALIBRATION; PARAMETERS;

D O I：

10.1016/j.envsoft.2017.01.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation. It explores their advantages and limitations, highlights the most recent advances and discusses future directions. It addresses how uncertainty is analysed in this field with the various approaches and identifies opportunities for handling it better. The aim is to inform scientists new to the field, and help emergency response agencies, water resources managers, insurance companies and other decision makers keep up-to-date with the latest developments. Guidance is provided for selecting the most suitable method/model for solving practical flood related problems, taking into account the specific outputs required for the modelling purpose, the data available and computational demands. Multi-model, multi-discipline approaches are recommended in order to further advance this research field. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：201 / 216

页数：16

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