Techniques for Disaster Risk Management and Mitigation
- Indbinding:
- Hardback
- Sideantal:
- 352
- Udgivet:
- 14. maj 2020
- Størrelse:
- 224x279x23 mm.
- Vægt:
- 1179 g.
Leveringstid:
Ukendt - mangler pt.
Beskrivelse af Techniques for Disaster Risk Management and Mitigation
A comprehensive guide to managing and mitigating natural disasters
Recent years have seen a surge in the number, frequency, and severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial technologies have enabled the development of sophisticated early warning systems and techniques to predict, manage, and mitigate disasters.Techniques for Disaster Risk Management and Mitigation explores different approaches to forecasting disasters and provides guidance on mitigation and adaptation strategies.
Volume highlights include:
* Review of current and emerging technologies for disaster prediction
* Different approaches to risk management and mitigation
* Strategies for implementing disaster plans and infrastructure improvements
* Guidance on integrating artificial intelligence with GIS and earth observation data
* Examination of the regional and global impacts of disasters under climate variability
Recent years have seen a surge in the number, frequency, and severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial technologies have enabled the development of sophisticated early warning systems and techniques to predict, manage, and mitigate disasters.Techniques for Disaster Risk Management and Mitigation explores different approaches to forecasting disasters and provides guidance on mitigation and adaptation strategies.
Volume highlights include:
* Review of current and emerging technologies for disaster prediction
* Different approaches to risk management and mitigation
* Strategies for implementing disaster plans and infrastructure improvements
* Guidance on integrating artificial intelligence with GIS and earth observation data
* Examination of the regional and global impacts of disasters under climate variability
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