Modeling and Design Scenario Analysis of Long-Term Monitored Bioretention System for Rainfall-Runoff Reduction to Combined Sewer in Cincinnati, OH-Reference-Cited by-同舟云学术

Modeling and Design Scenario Analysis of Long-Term Monitored Bioretention System for Rainfall-Runoff Reduction to Combined Sewer in Cincinnati, OH

Published:2020-05 Issue:2 Volume:6 Page:04019016
ISSN:2379-6111
Container-title:Journal of Sustainable Water in the Built Environment
language:en
Short-container-title:J. Sustainable Water Built Environ.

Author:

Alikhani Jamal¹,Nietch Christopher²^ORCID,Jacobs Scott³,Shuster Bill⁴,Massoudieh Arash⁵^ORCID

Affiliation:

1. Postdoctoral Researcher, Dept. of Civil Engineering, Catholic Univ. of America, Washington, DC 20064.

2. Research Ecologist, National Risk Management Research Laboratory, Office of Research and Development, Water Systems Division, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268. ORCID:

3. Physical Scientist, National Risk Management Research Laboratory, Office of Research and Development, Water Systems Division, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268.

4. Senior Research Hydrologist, National Risk Management Research Laboratory, Office of Research and Development, Water Systems Division, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268.

5. Associate Professor, Dept. of Civil Engineering, Catholic Univ. of America, Washington, DC 20064 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology

Link

http://ascelibrary.org/doi/pdf/10.1061/JSWBAY.0000903

Reference42 articles.

1. Effectiveness of Low Impact Development Practices: Literature Review and Suggestions for Future Research

2. Observed and Modeled Performances of Prototype Green Roof Test Plots Subjected to Simulated Low- and High-Intensity Precipitations in a Laboratory Experiment

3. Nitrate vulnerability projections from Bayesian inference of multiple groundwater age tracers

4. Evaluation of the information content of long-term wastewater characteristics data in relation to activated sludge model parameters

5. Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach

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