New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

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ID: 261258
2018
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Abstract
This study presents three new hybrid artificial intelligence optimization models—namely, adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and invasive weed optimization (ANFIS-IWO) algorithms—for flood susceptibility mapping (FSM) in the Haraz watershed, Iran. Ten continuous and categorical flood conditioning factors were chosen based on the 201 flood locations, including topographic wetness index (TWI), river density, stream power index (SPI), curvature, distance from river, lithology, elevation, ground slope, land use, and rainfall. The step-wise weight assessment ratio analysis (SWARA) model was adopted for the assessment of relationship between flood locations and conditioning factors. The ANFIS model, based on SWARA weights, was employed for providing FSMs with three optimization models to enhance the accuracy of prediction. To evaluate the model performance and prediction capability, root-mean-square error (RMSE) and receiver operating characteristic (ROC) curve (area under the ROC (AUROC)) were used. Results showed that ANFIS-IWO with lower RMSE (0.359) had a better performance, while ANFIS-BA with higher AUROC (94.4%) showed a better prediction capability, followed by ANFIS0-IWO (0.939) and ANFIS-CA (0.921). These models can be suggested for FSM in similar climatic and physiographic areas for developing measures to mitigate flood damages and to sustainably manage floodplains.
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bui2018waternew Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dieu Tien Bui;Khabat Khosravi;Shaojun Li;Himan Shahabi;Mahdi Panahi;Vijay P. Singh;Kamran Chapi;Ataollah Shirzadi;Somayeh Panahi;Wei Chen;Baharin Bin Ahmad;Tien Bui, Dieu;Khosravi, Khabat;Li, Shaojun;Shahabi, Himan;Panahi, Mahdi;Singh, Vijay P.;Chapi, Kamran;Shirzadi, Ataollah;Panahi, Somayeh;Chen, Wei;Bin Ahmad, Baharin;
Journal water
Year 2018
DOI
10.3390/w10091210
URL
https://dx.doi.org/10.3390/w10091210
Keywords
anfis invasive weed optimization flood susceptibility modeling cultural algorithm bees algorithm haraz watershed

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