Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies
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Home > Sciences & Environment > The environment > Natural disasters > Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies
Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies

Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies


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About the Book

Over the past decade, extreme natural disasters have imposed escalating human and economic tolls. Advances in data-driven artificial intelligence (AI) now offer the potential to extend forecast lead times and improve predictive accuracy, while innovations in unmanned aerial vehicles (UAVs) and robotics can bolster our capacity to mitigate and respond. By harnessing these technologies, it is reasonable to expect that humanity will develop the tools needed to prevent-or at least dramatically reduce-the impact of future natural disasters. Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies confronts the most destructive natural phenomena by systematically reviewing today's state-of-the-art predictive and preventive technologies. Each chapter provides an in-depth analysis of a specific hazard, examining how data-driven forecasting models, early-warning systems, and emerging drone and robotics-based interventions currently function, where they fall short, and what incremental advances could sharpen our ability to anticipate and avert catastrophe. Covering topics such as disaster risk reduction, cyclone readiness evaluation, and landslide susceptibility mapping, this book is an excellent resource for researchers and graduate students, disaster management engineers and technologists, policymakers and planners, non-profit and aid organizations, and more.

About the Author :
Shahriar Sajib has a Bachelor of Computer Science, the Masters in International Business, Professional Accounting and Business Administration. He did his PhD on strategic management. Sajib has been teaching at University of Technology Sydney for more than 10 years and taught many subjects in business. He has observed the role of moral capital during his PhD data collection. He has published on dynamic capabilities, microfoundation, social license to operate, supply chain management and artificial intelligence in reputed journals such as IJIM, GJIM, IJOPM, JBR, Annals of Operations research etc. His 20 years of work experience and specially experience working in Grameen Bank, Bangladesh has allowed him a deep and rich insight about the role of ethical approaches of doing business or moral capital with value creation.


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Product Details
  • ISBN-13: 9798337364155
  • Publisher: Igi Global Scientific Publishing
  • Publisher Imprint: Igi Global Scientific Publishing
  • Height: 254 mm
  • No of Pages: 450
  • Returnable: N
  • Spine Width: 19 mm
  • Width: 178 mm
  • ISBN-10: 8337364157
  • Publisher Date: 25 Feb 2026
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Weight: 816 gr


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