
- 447 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Hydrological Modeling for Flood Prediction
About this book
Predicting and mitigating flood risks require an in-depth understanding of hydrological processes and accurate computational modeling. Hydrological models simulate rainfall-runoff relationships to forecast flood events and guide water resource planning. Hydrological Modeling for Flood Prediction explains modeling frameworks, data collection methods, and calibration techniques used in flood forecasting. The book covers physically based, conceptual, and data-driven models alongside GIS and remote sensing applications. It also discusses uncertainty assessment and real-time prediction systems. By integrating theory and case-based examples, it equips researchers and engineers with practical tools for managing flood hazards and enhancing disaster resilience.
Information
Topic
Physical SciencesSubtopic
Geology & Earth SciencesTable of contents
- Cover
- Title Page
- Copyright
- About the Author
- Table of Contents
- List of Figures
- Preface
- Chapter 1: Introduction to Cloud-Native Concepts
- Chapter 2: Microservices Architecture
- Chapter 3: Containerization and Orchestration
- Chapter 4: API Design and Management
- Chapter 5: Cloud-Native Data Management
- Chapter 6: DevOps and CI/CD Pipelines
- Chapter 7: Observability and Monitoring in Cloud Computing
- Chapter 8: Security in Cloud-Native Applications
- Chapter 9: Scalability, Resilience, and Performance in Cloud-Native
- Chapter 10: Serverless and Future of Cloud-Native
- Index
- Back Cover
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Yes, you can access Hydrological Modeling for Flood Prediction by Chetan Anand Dubey,Pratigya Pathak in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over 1.5 million books available in our catalogue for you to explore.