Navigating Natural Hazards Risk Assessment Management

Enhancing Disaster Resilience through Risk Analysis and IIoT Innovations
Erscheinungsjahr 2026
ISBN: 978-3-032-17260-0
Verlag: Springer

Buch, Englisch, 289 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Natural Hazards

Natural disasters such as earthquakes, floods, landslides, and extreme weather events pose serious threats to industrial operations, leading to disruptions, infrastructure damage, and financial losses. With increasing climate variability, industries must adopt proactive risk assessment and mitigation strategies to enhance resilience and ensure business continuity.

This book offers a comprehensive framework for assessing and mitigating natural hazard risks in industrial environments through Industrial Internet of Things (IIoT) technologies. It examines real-time monitoring, sensor networks, remote sensing, and automated control systems to strengthen early warning mechanisms and disaster response. Presented as a step-by-step guide, the book addresses industrial vulnerability, hazard-specific risks, IIoT integration for smart monitoring, and resilience planning for infrastructure and supply chains. It combines actionable strategies with case studies and best practices to help safeguard industries against natural hazards.

Designed for industrial safety experts, disaster risk managers, environmental planners, policymakers, and researchers, this resource equips readers with the tools to build disaster-proof operations - whether shaping policy, designing resilient infrastructure, or managing industrial safety.

Zielgruppe

Research

Autoren/Hrsg.

Singh, Kanwarpreet

Sharma, Abhishek

Soni, Rashmi

Sharma, Sahil

Nautiyal, Akhilesh

Fachgebiete

• Geowissenschaften Umweltwissenschaften Naturgewalten & Katastrophen
• Geowissenschaften Geologie Geologie
• Naturwissenschaften Physik Angewandte Physik Geophysik

Inhaltsverzeichnis

Introduction to natural hazards in industrial operations.- Risk Assessment in Industrial Systems under Natural Disasters.- Role of IIoT in Hazard Detection and Monitoring.- Progressive Collapse Assessment of Reinforced Concrete Buildings with Infill walls subjected To Near-Field Earthquakes.- Assessment of Flood Risk in Mandi district of Himachal Pradesh using Geospatial Techniques.- Landslides and Geotechnical Hazards Affecting Industries.- Fire and Explosion Risks in Hazard Prone Industrial Areas.- Climate change and its impact on industrial disaster risk.- Infrastructure Protection and Industrial Resilience.- Regulatory Frameworks for Natural Hazard Risk Management in Industries.- Emerging Technologies and Sustainable Industrial Development in Hazard-Prone Areas.

Über Autor(innen)

Dr. Kanwarpreet Singh is a researcher specializing in geotechnical engineering, geological studies, and remote sensing/GIS applications having around 11 years of teaching experience. He earned his Ph.D. from NIT Hamirpur, India focusing on landslide hazards in the middle Himalayas. Author of over 63 research papers, he has guided multiple Ph.D. and postgraduate scholars and is proficient in tools such as ArcGIS, QGIS, PLAXIS, and GEO5. 

Dr. Abhishek Sharma is an Associate Professor at Chandigarh University with expertise in geotechnical engineering. He holds a Ph.D. from NIT Hamirpur and has over 11 years of teaching experience. His research includes soil stabilization, GIS-based landslide mapping, and foundation techniques. He has published around 55 papers and received several Best Paper Awards.

Dr. Rashmi Soni is an Associate Professor in Information Science & Engineering at Dayananda Sagar Academy of Technology and Management, Bengaluru. With 13 years of academic experience, she has authored and edited multiple Scopus-indexed books on cloud computing, IoT, AI, and smart healthcare systems, and supervises five Ph.D. scholars.

Dr. Sahil Sharma is an Assistant Professor at Chandigarh University with research expertise in hydrology, soil moisture modeling, and spatial analysis. He has published in leading journals such as Catena and Environmental Earth Sciences, focusing on watershed-scale modeling, machine learning applications, and open-channel flow dynamics.

Dr. Akhilesh Nautiyal is an Assistant Professor in the Department of Civil Engineering at NIT Uttarakhand. He earned his Ph.D. in Civil Engineering from NIT Hamirpur, India in 2023 and holds an M.Tech. in Transportation System Engineering and a B.Tech. in Civil Engineering from Uttarakhand Technical University.