Predicting combined sewer overflow occurrences using rainfall depth and maximum intensity: a case study of Buffalo, USA-Reference-Cited by-同舟云学术

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Predicting combined sewer overflow occurrences using rainfall depth and maximum intensity: a case study of Buffalo, USA

Published:2023-11-15 Issue:2 Volume:21 Page:244-250
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Chun Soo Bin¹²,Zhu Zhenduo¹,Ghodsi Seyed Hamed¹³

Affiliation:

1. Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA

2. The Strong Rock Group, Raleigh, NC, USA

3. Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA, USA

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2023.2281305

Reference27 articles.

1. Breiman, Leo, Jerome Friedman, Charles J Stone, and Richard A Olshen. 1984. Classification and Regression Trees. Wadsworth, Belmont, California: CRC press.

2. How Is the Intensity of Rainfall Events Best Characterised? A Brief Critical Review and Proposed New Rainfall Intensity Index for Application in the Study of Landsurface Processes

3. Climate Change Impact on Combined Sewer Overflows

4. Optimal siting of rainwater harvesting systems for reducing combined sewer overflows at city scale

5. Modeling the Effectiveness of Rain Barrels, Cisterns, and Downspout Disconnections for Reducing Combined Sewer Overflows in a City-Scale Watershed

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