Advances in Natural and Technological Hazards Research

Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques

Editors: Pourghasemi, Hamid Reza, Rossi, Mauro (Eds.)

  • 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
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  • ISBN 978-3-319-73383-8
  • Digitally watermarked, DRM-free
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Hardcover ca. $139.00
price for USA
  • Due: April 5, 2018
  • ISBN 978-3-319-73382-1
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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 into three parts which were under the editorial responsibility of different section editors: (1) Geophysical disasters, (2) Hydrological disasters, and (3) climatological disaster. The first part consists of landslides and earthquake (seismic) disasters. The second part includes flash flood, erosion, and land subsidence research. The final part focuses on climate change, forest fire, land fire, and drought subjects. 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.

About the authors

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 la Protezione 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).

Buy this book

eBook  
  • ISBN 978-3-319-73383-8
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $139.00
price for USA
  • Due: April 5, 2018
  • ISBN 978-3-319-73382-1
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques
Editors
  • Hamid Reza Pourghasemi
  • Mauro Rossi
Series Title
Advances in Natural and Technological Hazards Research
Series Volume
48
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-73383-8
Hardcover ISBN
978-3-319-73382-1
Series ISSN
1878-9897
Edition Number
1
Number of Pages
X, 240
Number of Illustrations and Tables
150 b/w illustrations, 60 illustrations in colour
Topics