scholarly journals Preliminary GIS Elaborations to Apply Rapid Flood Spreading Models

10.29007/wdn6 ◽  
2018 ◽  
Author(s):  
Giulia Farina ◽  
Anna Bernini ◽  
Stefano Alvisi ◽  
Marco Franchini
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Scientific Literature ◽  
Statistical Information ◽  
Test Case ◽  
Two Dimensional ◽  
Geometric Information ◽  
Flood Spreading ◽  
Gis Data ◽  
Flooded Areas

Flood risk analysis involves simulating many scenarios from which to draw statistical information about flood extent and depth. Rapid but still sufficiently accurate models enabling flooded areas to be delimited using a DEM have been introduced in the scientific literature. These models, called Rapid Flood Spreading Models (RFSMs), are based on highly simplifying hydraulic assumptions while make large use of GIS information and elaborations. Three different RFSMs are here applied to a test case, largely characterized by flat land. The results obtained are compared with those of a two-dimensional hydraulic model confirming the possibility of preliminarily elaborating topographic GIS data to easily gain geometric information on flooded areas through geospatial analysis.

A participatory approach in GIS data collection for flood risk management, Muzarabani district, Zimbabwe

2014 ◽  
Vol 8 (2) ◽  
pp. 1029-1040 ◽  
Author(s):  
W. Chingombe ◽  
E. Pedzisai ◽  
D. Manatsa ◽  
G. Mukwada ◽  
P. Taru
Keyword(s):  
Risk Management ◽  
Data Collection ◽  
Flood Risk ◽  
Participatory Approach ◽  
Flood Risk Management ◽  
Gis Data

Correlation models in flood risk analysis

2012 ◽  
Vol 105 ◽  
pp. 64-72 ◽  
Author(s):  
F.L.M. Diermanse ◽  
C.P.M. Geerse
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Correlation Models ◽  
Flood Risk Analysis

SAR based flood risk analysis: a case study Kerala Flood 2018

2021 ◽  
Author(s):  
Niloy Pramanick ◽  
Rituparna Acharyya ◽  
Sandip Mukherjee ◽  
Sudipta Mukherjee ◽  
Indrajit Pal ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Flood Risk Analysis

Statement spectrum with two dimensional eigenvalues for intelligent software fault localization

2021 ◽  
pp. 1-16
Author(s):  
Shengbing Ren ◽  
Xing Zuo ◽  
Jun Chen ◽  
Wenzhao Tan
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Rbf Neural Network ◽  
Fault Localization ◽  
Test Case ◽  
Two Dimensional ◽  
Intelligent Software ◽  
Localization Model ◽  
Software Fault ◽  
Program Spectrum

The existing Software Fault Localization Frameworks (SFLF) based on program spectrum for estimation of statement suspiciousness have the problems that the feature type of the spectrum is single and the efficiency and precision of fault localization need to be improved. To solve these problems, a framework 2DSFLF proposed in this paper and used to evaluate the effectiveness of software fault localization techniques (SFL) in two-dimensional eigenvalues takes both dynamic and static features into account to construct the two-dimensional eigenvalues statement spectrum (2DSS). Firstly the statement dependency and test case coverage are extracted by the feature extraction of 2DSFLF. Subsequently these extracted features can be used to construct the statement spectrum and data flow spectrum which can be combined into the optimized spectrum 2DSS. Finally an estimator which takes Radial Basis Function (RBF) neural network and ridge regression as fault localization model is trained by 2DSS to predict the suspiciousness of statements to be faulty. Experiments on Siemens Suit show that 2DSFLF improves the efficiency and precision of software fault localization compared with existing techniques like BPNN, PPDG, Tarantula and so fourth.

scholarly journals An advanced method for flood risk analysis in river deltas, applied to societal flood fatality risks in the Netherlands

2014 ◽  
Vol 2 (2) ◽  
pp. 1637-1670 ◽  
Author(s):  
K. M. de Bruijn ◽  
F. L. M. Diermanse ◽  
J. V. L. Beckers
Keyword(s):  
Risk Analysis ◽  
Flood Risk ◽  
Hydrodynamic Interaction ◽  
Storm Surges ◽  
Water Levels ◽  
Analysis Framework ◽  
Flood Risks ◽  
River Deltas ◽  
River Flood ◽  
Flood Risk Analysis

Abstract. This paper discusses the new method developed to analyse flood risks in river deltas. Risk analysis of river deltas is complex, because both storm surges and river discharges may cause flooding and since the effect of upstream breaches on downstream water levels and flood risks must be taken into account. A Monte Carlo based flood risk analysis framework for policy making was developed, which considers both storm surges and river flood waves and includes hydrodynamic interaction effects on flood risks. It was applied to analyse societal flood fatality risks (the probability of events with more than N fatalities) in the Rhine–Meuse delta.

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