Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate

Herausgeber: Ojha, C. S. P.; Soundharajan; Patidar, Sandhya Heriot-Watt University; Ks, Kasiviswanathan; He, Jianxun

• Broschiertes Buch

Produktbeschreibung

Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate explores the most recent computational tools, modeling frameworks, and critical data analysis measures for managing extreme climate events. Extreme climate events-primarily floods and droughts-have had major consequences in terms of loss of life and property around the world. Managing extreme occurrences, reducing their effects, and establishing adaptation strategies requires significant policy and planning improvements. This practical guide explores the latest research literature, recent advanced modeling approaches, and fundamental ideas and concepts to provide a variety of solutions for managing extreme events.

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Produktdetails

• Developments in Environmental Science
• Verlag: Elsevier - Health Sciences Division
• Seitenzahl: 340
• Erscheinungstermin: 12. Mai 2023
• Englisch
• Abmessung: 153mm x 229mm x 19mm
• Gewicht: 546g
• ISBN-13: 9780443186400
• ISBN-10: 0443186405
• Artikelnr.: 64268885

Inhaltsangabe

1. Detailed modeling of evaporation loss and operating rules for improved
reservoir management
2. Characterizing extreme events in monsoon Asia using remote sensing and
land surface model data products
3. D-SciMAP: Integrating drought science, management, and policy in
water-scarce areas
4. Application of machine learning approaches for climate change mitigation
5. Non-stationarity analyses of design rainfall using Bayesian approaches
6. Time-varying hydro-climatological extremes and its modeling
7. Water security implications of climate and socio-economic stressors for
river basin management
8. Water resources management under climate change and extreme hydrological
events
9. Changes in drought characteristics and coping strategies in monsoonal
climates
10. Assessment of drought using standardized precipitation index (SPI) - A
case study of Tiruchirappalli district (Tamil Nadu)
11. Machine Learning for improving near real-time satellite rainfall
estimates useful for flood modeling
12. Using models to understand changing hydrological extremes as a result
of climate change: impacts in urban areas
13. Modeling the non-stationarity in the reservoir operation