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Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

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  • © 2019

Overview

Editors:
  1. Hamid Reza Pourghasemi

    1. Natural Resources and Environmental Engineering, Shiraz University, Shiraz, Iran

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    You can also search for this editor in PubMed   Google Scholar

  2. Mauro Rossi

    1. IRPI, National Research Council, Perugia, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Offers useful studies on geo-spatial modelling for optimal land use management and planning
  • Discusses with concrete examples the use of data mining algorithms for spatial modeling of natural hazards in different countries
  • Offers high accuracy solutions for natural disasters susceptibility, hazard, and risk assessment
  • Is a reference in spatial sciences, a new discipline increasingly integrated in universities study plans

Part of the book series: Advances in Natural and Technological Hazards Research (NTHR, volume 48)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  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
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Keywords

About this book

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.

Editors and Affiliations

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

    Hamid Reza Pourghasemi

  • IRPI, National Research Council, Perugia, Italy

    Mauro Rossi

About the editors

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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