Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

1. Front Matter

   Pages i-xxii

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2. Gully Erosion Modeling Using GIS-Based Data Mining Techniques in Northern Iran: A Comparison Between Boosted Regression Tree and Multivariate Adaptive Regression Spline

   • Mohsen Zabihi, Hamid Reza Pourghasemi, Alireza Motevalli, Mohamad Ali Zakeri

   Pages 1-26

3. Concepts for Improving Machine Learning Based Landslide Assessment

   • Miloš Marjanović, Mileva Samardžić-Petrović, Biljana Abolmasov, Uroš Đurić

   Pages 27-58

4. Assessment of the Contribution of Geo-environmental Factors to Flood Inundation in a Semi-arid Region of SW Iran: Comparison of Different Advanced Modeling Approaches

   • Davoud Davoudi Moghaddam, Hamid Reza Pourghasemi, Omid Rahmati

   Pages 59-78

5. Land Subsidence Modelling Using Data Mining Techniques. The Case Study of Western Thessaly, Greece

   • Paraskevas Tsangaratos, Ioanna Ilia, Constantinos Loupasakis

   Pages 79-103

6. Application of Fuzzy Analytical Network Process Model for Analyzing the Gully Erosion Susceptibility

   • Bahram Choubin, Omid Rahmati, Naser Tahmasebipour, Bakhtiar Feizizadeh, Hamid Reza Pourghasemi

   Pages 105-125

7. Landslide Susceptibility Prediction Maps: From Blind-Testing to Uncertainty of Class Membership: A Review of Past and Present Developments

   • Andrea G. Fabbri, Chang-Jo Chung

   Pages 127-144

8. Earthquake Events Modeling Using Multi-criteria Decision Analysis in Iran

   • Marzieh Mokarram, Hamid Reza Pourghasemi

   Pages 145-163

9. Prediction of Rainfall as One of the Main Variables in Several Natural Disasters

   • Vahid Moosavi

   Pages 165-203

10. Landslide Inventory, Sampling and Effect of Sampling Strategies on Landslide Susceptibility/Hazard Modelling at a Glance

    • Isik Yilmaz, Murat Ercanoglu

    Pages 205-224

11. GIS-Based Landslide Susceptibility Evaluation Using Certainty Factor and Index of Entropy Ensembled with Alternating Decision Tree Models

    • Wei Chen, Hamid Reza Pourghasemi, Aiding Kornejady, Xiaoshen Xie

    Pages 225-251

12. Evaluation of Sentinel-2 MSI and Pleiades 1B Imagery in Forest Fire Susceptibility Assessment in Temperate Regions of Central and Eastern Europe. A Case Study of Romania

    • Bogdan-Andrei Mihai, Ionuț Săvulescu, Marina Vîrghileanu, Bogdan Olariu

    Pages 253-269

13. Monitoring and Management of Land Subsidence Induced by Over-exploitation of Groundwater

    • Maryam Dehghani, Mohammad Reza Nikoo

    Pages 271-296

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

• Landslide susceptibility, hazard, and risk assessment
• Flash flood modeling and zonation
• Data mining techniques
• GIS-based spatial modeling
• Geo-spatial analysis
• Gully erosion zonation
• Forest fire susceptibility modeling
• Seismic hazard
• Land subsidence assessment
• Multi-hazard risk assessment

• Natural Resources and Environmental Engineering, Shiraz University, Shiraz, Iran

  Hamid Reza Pourghasemi

• IRPI, National Research Council, Perugia, Italy

  Mauro Rossi

Hamid Reza Pourghasemi is an Assistant Professor of Watershed Management Engineering in the College of Agriculture, Shiraz University, Iran. He has a BSc (2004) in watershed management engineering from the University of Gorgan, Iran, a MSc (2008) in watershed management engineering and a PhD degree (2014) in watershed management engineering from Tarbiat Modares University, Iran. His main research interests are GIS-based spatial modelling using machine learning/data mining techniques in different fields such as landslide susceptibility and hazard, flood, gully erosion, forest fire, and groundwater. Also, Hamid Reza works on multi-criteria decision-making methods in natural resources and environment. He has published more than 70 research papers in different international journals (h-index 17).

Mauro Rossi is a Research Scientist from the “Consiglio Nazionale delle Ricerche” (CNR) in Roma, Italy. He is pursuing his research at the “Istituto di Ricerca per laProtezione Idrogeologica” (IRPI) in Perugia, Italy. He has diversified research interests mainly focused on mapping, modelling and forecasting of landslides, floods and erosion processes in different geo-environmental and anthropic contexts. Mauro Rossi has developed (i) new methodologies for statistical and deterministic analysis of the susceptibility and hazard posed by different geo-hydrological phenomena and for the estimation of their impacts, (ii) new approaches to the definition of rainfall thresholds for triggering Landslides, (iii) early warning systems, (iv) approaches to the design optimal models for estimating landslide susceptibility and for the assessment of social risk posed by landslides and floods. He has also developed specific software for the landslide susceptibility modelling, for the landslide magnitude modelling and for the joint modelling of landslides and erosion processes in relation to different scenarios of geomorphological, climatic, vegetation and anthropic changes, in order to adequately characterize the hill slopes and the hydrological basins dynamics. He has published more than 150 research papers in many international journals (h-index 31).

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