Navigating Natural Hazards Risk Assessment Management

Navigating Natural Hazards Risk Assessment Management

Enhancing Disaster Resilience through Risk Analysis and IIoT Innovations

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.

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.

Highlights

• Enhance industrial resilience with IIoT-driven risk assessment, real-time monitoring, and disaster mitigation strategies Protect operations from natural hazards using sensor networks, early warning systems, and automated disaster response Bridge the gap with practical frameworks, case studies, and best practices for industrial disaster risk management

Über den Autor

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.