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Journal ArticleDOI

Flood inundation modelling

TLDR
A review of state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation is presented in this paper, where 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.
Abstract
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. This paper reviews state-of-the-art flood inundation models.It explores their advantages and limitations.It highlights the most recent advances and discusses future directions.It addresses how uncertainty is analysed and identifies opportunities for handling it better.

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Journal ArticleDOI

Flood prediction using machine learning models: Literature review

TL;DR: In this paper, the state-of-the-art machine learning models for both long-term and short-term floods are evaluated and compared using a qualitative analysis of robustness, accuracy, effectiveness and speed.
Journal ArticleDOI

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

TL;DR: The requirements for future geomorphology monitoring are focused on the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems.
Journal ArticleDOI

Flood Prediction Using Machine Learning Models: Literature Review

TL;DR: In this paper, the state of the art of ML models in flood prediction and to give insight into the most suitable models are presented. And the major trends in improving the quality of the flood prediction models are investigated.
Journal ArticleDOI

Introductory overview: Optimization using evolutionary algorithms and other metaheuristics

TL;DR: This Introductory Overview presents reasons for embedding formal optimization approaches in environmental decision-making processes, details how environmental problems are formulated as optimization problems and outlines how single- and multi-objective optimization approaches find good solutions to environmental problems.
Journal ArticleDOI

A new strategy for integrated urban water management in China: Sponge city

TL;DR: Wang et al. as discussed by the authors reviewed prior studies and policies on urban water management in China as important background for the sponge city proposal and summarized the connotations, goals, and features of sponge city.
References
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Journal ArticleDOI

Approximate Riemann Solvers, Parameter Vectors, and Difference Schemes

TL;DR: In this article, it is shown that these features can be obtained by constructing a matrix with a certain property U, i.e., property U is a property of the solution of the Riemann problem.
Journal ArticleDOI

Numerical Calculation of Time‐Dependent Viscous Incompressible Flow of Fluid with Free Surface

TL;DR: In this paper, a new technique is described for the numerical investigation of the time-dependent flow of an incompressible fluid, the boundary of which is partially confined and partially free The full Navier-Stokes equations are written in finite-difference form, and the solution is accomplished by finite-time step advancement.
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Finite Volume Methods for Hyperbolic Problems

TL;DR: The CLAWPACK software as discussed by the authors is a popular tool for solving high-resolution hyperbolic problems with conservation laws and conservation laws of nonlinear scalar scalar conservation laws.
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Riemann Solvers and Numerical Methods for Fluid Dynamics

TL;DR: In this article, the authors present references and index Reference Record created on 2004-09-07, modified on 2016-08-08 and a reference record created on 2003-09 -07.
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