Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds
An important step in flood control planning is identification of flood source areas (FSAs). This study presents a methodology for identifying FSAs. Unit flood response (UFR) approach has been proposed to quantify FSAs at subwatershed and/or cell scale. In this study, a distributed ModClark model lin...
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doaj-ba290bc270044402ab2ed501681a188b2020-11-25T03:42:23ZengIWA PublishingHydrology Research1998-95632224-79552020-06-0151342344210.2166/nh.2020.141141Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watershedsNaser Dehghanian0S. Saeid Mousavi Nadoushani1Bahram Saghafian2Morteza Rayati Damavandi3 Department of Water Resources Management, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, I.R. Iran Department of Water Resources Management, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, I.R. Iran Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, I.R. Iran Department of Technical and Engineering, Islamic Azad University, Qaemshahr, Iran An important step in flood control planning is identification of flood source areas (FSAs). This study presents a methodology for identifying FSAs. Unit flood response (UFR) approach has been proposed to quantify FSAs at subwatershed and/or cell scale. In this study, a distributed ModClark model linked with Muskingum flow routing was used for hydrological simulations. Furthermore, a fuzzy hybrid clustering method was adopted to identify hydrological homogenous regions (HHRs) resulting in clusters involving the most effective variables in runoff generation as selected through factor analysis (FA). The selected variables along with 50-year rainfall were entered into an artificial neural network (ANN) model optimized via genetic algorithm (GA) to predict flood index (FI) at cell scale. The case studies were two semi-arid watersheds, Tangrah in northeastern Iran and Walnut Gulch Experimental Watershed in Arizona. The results revealed that the predicted values of FI via ANN-GA were slightly different from those derived via UFR in terms of mean squared error (MSE), mean absolute error (MAE), and relative error (RE). Also, the prioritized FSAs via ANN-GA were almost similar to those of UFR. The proposed methodology may be applicable in prioritization of HHRs with respect to flood generation in ungauged semi-arid watersheds.http://hr.iwaponline.com/content/51/3/423artificial neural network (ann)flood source areas (fsas)hydrological homogenous regions (hhrs)modclarksemi-arid ungauged watershedsunit flood response (ufr) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Naser Dehghanian S. Saeid Mousavi Nadoushani Bahram Saghafian Morteza Rayati Damavandi |
spellingShingle |
Naser Dehghanian S. Saeid Mousavi Nadoushani Bahram Saghafian Morteza Rayati Damavandi Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds Hydrology Research artificial neural network (ann) flood source areas (fsas) hydrological homogenous regions (hhrs) modclark semi-arid ungauged watersheds unit flood response (ufr) |
author_facet |
Naser Dehghanian S. Saeid Mousavi Nadoushani Bahram Saghafian Morteza Rayati Damavandi |
author_sort |
Naser Dehghanian |
title |
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds |
title_short |
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds |
title_full |
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds |
title_fullStr |
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds |
title_full_unstemmed |
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds |
title_sort |
evaluation of coupled ann-ga model to prioritize flood source areas in ungauged watersheds |
publisher |
IWA Publishing |
series |
Hydrology Research |
issn |
1998-9563 2224-7955 |
publishDate |
2020-06-01 |
description |
An important step in flood control planning is identification of flood source areas (FSAs). This study presents a methodology for identifying FSAs. Unit flood response (UFR) approach has been proposed to quantify FSAs at subwatershed and/or cell scale. In this study, a distributed ModClark model linked with Muskingum flow routing was used for hydrological simulations. Furthermore, a fuzzy hybrid clustering method was adopted to identify hydrological homogenous regions (HHRs) resulting in clusters involving the most effective variables in runoff generation as selected through factor analysis (FA). The selected variables along with 50-year rainfall were entered into an artificial neural network (ANN) model optimized via genetic algorithm (GA) to predict flood index (FI) at cell scale. The case studies were two semi-arid watersheds, Tangrah in northeastern Iran and Walnut Gulch Experimental Watershed in Arizona. The results revealed that the predicted values of FI via ANN-GA were slightly different from those derived via UFR in terms of mean squared error (MSE), mean absolute error (MAE), and relative error (RE). Also, the prioritized FSAs via ANN-GA were almost similar to those of UFR. The proposed methodology may be applicable in prioritization of HHRs with respect to flood generation in ungauged semi-arid watersheds. |
topic |
artificial neural network (ann) flood source areas (fsas) hydrological homogenous regions (hhrs) modclark semi-arid ungauged watersheds unit flood response (ufr) |
url |
http://hr.iwaponline.com/content/51/3/423 |
work_keys_str_mv |
AT naserdehghanian evaluationofcoupledanngamodeltoprioritizefloodsourceareasinungaugedwatersheds AT ssaeidmousavinadoushani evaluationofcoupledanngamodeltoprioritizefloodsourceareasinungaugedwatersheds AT bahramsaghafian evaluationofcoupledanngamodeltoprioritizefloodsourceareasinungaugedwatersheds AT mortezarayatidamavandi evaluationofcoupledanngamodeltoprioritizefloodsourceareasinungaugedwatersheds |
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