Modeling and Mitigation Measures for Managing Extreme Hydrometeorological Events Under a Warming Climate: Developments in Environmental Science, cartea 14
Editat de Kasiviswanathan KS, Soundharajan Dr., Sandhya Patidar, Jianxun He, C.S.P. Ojhaen Limba Engleză Paperback – 11 mai 2023
- Discusses the impacts of climate change on the management of water resources
- Provides flood and drought adaptation measures and strategies
- Covers the latest research carried out in the modeling of extreme hydrometeorological variables
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Specificații
ISBN-13: 9780443186400
ISBN-10: 0443186405
Pagini: 340
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Developments in Environmental Science
ISBN-10: 0443186405
Pagini: 340
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Developments in Environmental Science
Cuprins
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
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