Arid
DOI10.2166/nh.2020.141
Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds
Dehghanian, Naser; Saeid Mousavi Nadoushani, S.; Saghafian, Bahram; Damavandi, Morteza Rayati
Corresponding AuthorNadoushani, SSM
JournalHYDROLOGY RESEARCH
ISSN0029-1277
EISSN2224-7955
Year Published2020
Volume51Issue:3Pages:423-442
Abstract in EnglishAn 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.
Keyword in Englishartificial neural network (ANN) flood source areas (FSAs) hydrological homogenous regions (HHRs) ModClark semi-arid ungauged watersheds unit flood response (UFR)
SubtypeArticle
Language英语
OA Typegold
Indexed BySCI-E
WOS IDWOS:000540590800004
WOS KeywordARTIFICIAL NEURAL-NETWORKS ; FREQUENCY-ANALYSIS ; CLUSTER VALIDITY ; RUNOFF ; SEDIMENT ; STREAMFLOW ; ALGORITHM ; MAP
WOS SubjectWater Resources
WOS Research AreaWater Resources
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/324766
Affiliation[Dehghanian, Naser; Saeid Mousavi Nadoushani, S.] Shahid Beheshti Univ, Fac Civil Water & Environm Engn, Dept Water Resources Management, Tehran, Iran; [Saghafian, Bahram] Islamic Azad Univ, Dept Civil Engn, Sci & Res Branch, Tehran, Iran; [Damavandi, Morteza Rayati] Islamic Azad Univ, Dept Tech & Engn, Qaemshahr, Iran
Recommended Citation
GB/T 7714
Dehghanian, Naser,Saeid Mousavi Nadoushani, S.,Saghafian, Bahram,et al. Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds[J],2020,51(3):423-442.
APA Dehghanian, Naser,Saeid Mousavi Nadoushani, S.,Saghafian, Bahram,&Damavandi, Morteza Rayati.(2020).Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds.HYDROLOGY RESEARCH,51(3),423-442.
MLA Dehghanian, Naser,et al."Evaluation of coupled ANN-GA model to prioritize flood source areas in ungauged watersheds".HYDROLOGY RESEARCH 51.3(2020):423-442.
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