For as long as there have been cities, engineers have struggled with the problem of flooding, erosion and water pollution due to stormwater discharges. This is the first complete guide to the highly-effective probabilistic modeling approach, which is a computationally efficient alternative to conventional numerical simulation methods. It explains the basic concepts and mathematics underlying the probabilistic modeling technique and develops an extensive suite of analytical models for the performance analysis of stormwater management alternatives. With the help of real-life case studies, it moves step by step through various applications of probabilistic modeling in the planning, design, reengineering, and rehabilitation of both combined and separated drainage systems. As an aid to rapid mystery of the techniques designed, example problems appear throughout the text and at the end of chapters.

The book is a invaluable professional resource for civil and environmental engineers and also for students on advanced courses in these disciplines.

Full table of contents

• URBAN STORMWATER MANAGEMENT
• Urban Drainage Systems: Evolution of Problems
• Urban Runoff Quantity and Quality Control Strategies
• Urban Stormwater Management Modelling
  
  
• DATA ANALYSIS
• Meteorological Data Analysis
• Runoff Quality Data Analysis
  
  
• DRAINAGE SYSTEM PERFORMANCE ANALYSIS
• Elements of Derived Probability Distribution Theory
• Model of Urban Drainage System
• Quantity Control Analysis of Urban Drainage Systems
• Advanced Quantity Control Analysis
• Multiple Reservoir Systems
• Quality Control Analysis of Urban Drainage Systems
• Urban Drainage Systems Analysis: Optimization and Sensitivity Analysis