Margin of Safety in TMDLs: Natural Language Processing-Aided Review of the State of Practice-Reference-Cited by-同舟云学术

Margin of Safety in TMDLs: Natural Language Processing-Aided Review of the State of Practice

Published:2020-04 Issue:4 Volume:25 Page:04020002
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Nunoo Robert¹^ORCID,Anderson Paul²^ORCID,Kumar Saurav³,Zhu Jun-Jie⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616-3793 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616-3793. ORCID: .

3. Assistant Professor, Dept. of Biological and Agricultural Engineering, Texas A&M AgriLife Research El Paso, 1380 A&M Circle, El Paso, TX 79927.

4. Lecturer, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616-3793. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001889

Reference60 articles.

1. Calibration and Validation of Watershed Models and Advances in Uncertainty Analysis in TMDL Studies

2. SWAT: Model Use, Calibration, and Validation

3. Environmental Modelling

4. The future of distributed models: Model calibration and uncertainty prediction

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