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Modeling and mitigation measures for managing extreme hydrometeorological events under a warming climate /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
2023.
|
| Colección: | Developments in environmental science ;
v. 14. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Detailed modeling of evaporation loss and operating rules for improved reservoir management <br>2. Characterizing extreme events in monsoon Asia using remote sensing and land surface model data products <br>3. D-SciMAP: Integrating drought science, management, and policy in water-scarce areas <br>4. Application of machine learning approaches for climate change mitigation <br>5. Non-stationarity analyses of design rainfall using Bayesian approaches <br>6. Time-varying hydro-climatological extremes and its modeling <br>7. Water security implications of climate and socio-economic stressors for river basin management <br>8. Water resources management under climate change and extreme hydrological events <br>9. Changes in drought characteristics and coping strategies in monsoonal climates <br>10. Assessment of drought using standardized precipitation index (SPI)
- A case study of Tiruchirappalli district (Tamil Nadu) <br>11. Machine Learning for improving near real-time satellite rainfall estimates useful for flood modeling <br>12. Using models to understand changing hydrological extremes as a result of climate change: impacts in urban areas <br>13. Modeling the non-stationarity in the reservoir operation