Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation

Front Matter ....Pages i-xx
 Drought Index Prediction Using Data Intelligent Analytic Models: A Review  (Zaher Mundher Yaseen, Shamsuddin Shahid)....Pages 1-27
 Bayesian Markov Chain Monte Carlo-Based Copulas: Factoring the Role of Large-Scale Climate Indices in Monthly Flood Prediction  (Thong Nguyen-Huy, Ravinesh C. Deo, Zaher Mundher Yaseen, Ramendra Prasad, Shahbaz Mushtaq)....Pages 29-47
 Gaussian Naïve Bayes Classification Algorithm for Drought and Flood Risk Reduction  (Oluwatobi Aiyelokun, Gbenga Ogunsanwo, Akintunde Ojelabi, Oluwole Agbede)....Pages 49-62
 Hydrological Drought Investigation Using Streamflow Drought Index  (Anurag Malik, Anil Kumar, Sinan Q. Salih, Zaher Mundher Yaseen)....Pages 63-88
 Intelligent Data Analytics Approaches for Predicting Dissolved Oxygen Concentration in River: Extremely Randomized Tree Versus Random Forest, MLPNN and MLR  (Salim Heddam)....Pages 89-107
 Evolving Connectionist Systems Versus Neuro-Fuzzy System for Estimating Total Dissolved Gas at Forebay and Tailwater of Dams Reservoirs  (Salim Heddam, Ozgur Kisi)....Pages 109-126
 Modulation of Tropical Cyclone Genesis by Madden–Julian Oscillation in the Southern Hemisphere  (Kavina S. Dayal, Bin Wang, Ravinesh C. Deo)....Pages 127-150
 Intelligent Data Analytics for Time Series, Trend Analysis and Drought Indices Comparison  (Kavina S. Dayal, Ravinesh C. Deo, Armando A. Apan)....Pages 151-169
 Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform  (Ozgur Kisi, Meysam Alizamir, Jalal Shiri)....Pages 171-181
 Systematic Integration of Artificial Intelligence Toward Evaluating Response of Materials and Structures in Extreme Conditions  (M. Z. Naser)....Pages 183-212
 Machine Learning to Derive Unified Material Models for Steel Under Fire Conditions  (M. Z. Naser, Huanting Zhou)....Pages 213-225
 Energy Dissipation in Rough Chute: Experimental Approach Versus Artificial Intelligence Modeling  (Sungwon Kim, Farzin Salmasi, Mohammad Ali Ghorbani, Vahid Karimi, Anurag Malik, Ercan Kahya)....Pages 227-249
 Morphological Changes of Floodplain Reach of Jhelum River, India, from 1984 to 2018  (Thendiyath Roshni, Dar Himayoun, Mohammad Danish Azim)....Pages 251-266
 Spatial Modeling of Soil Erosion Susceptibility with Support Vector Machine  (Omid Rahmati, Abolfazl Jaafari)....Pages 267-280
 Spatial Prediction of Landslide Susceptibility Using Random Forest Algorithm  (Omid Rahmati, Aiding Kornejady, Ravinesh C. Deo)....Pages 281-292
 Artificial Neural Networks for Prediction of Steadman Heat Index  (Bhuwan Chand, Thong Nguyen-Huy, Ravinesh C. Deo)....Pages 293-357
 Daily Flood Forecasts with Intelligent Data Analytic Models: Multivariate Empirical Mode Decomposition-Based Modeling Methods  (Ramendra Prasad, Dhrishna Charan, Lionel Joseph, Thong Nguyen-Huy, Ravinesh C. Deo, Sanjay Singh)....Pages 359-381
 Machine Learning Method in Prediction Streamflow Considering Periodicity Component  (Rana Muhammad Adnan, Mohammad Zounemat-Kermani, Alban Kuriqi, Ozgur Kisi)....Pages 383-403
 Empirical Model for the Assessment of Climate Change Impacts on Spatial Pattern of Water Availability in Nigeria  (Mohammed Sanusi Shiru, Eun-Sung Chung, Shamsuddin Shahid)....Pages 405-427
 Prediction of River Water Quality Parameters Using Soft Computing Techniques  (Kulwinder Singh Parmar, Kirti Soni, Sarbjit Singh)....Pages 429-440
 Soft Computing Applications in Air Pollution Meteorology  (Kirti Soni, Kulwinder Singh Parmar)....Pages 441-469