Total Maximum Daily Load Analysis and Modeling Advances: Connecting Climate Resilience, Socio-Environmental Systems, and Holistic Watershed Management-Reference-Cited by-同舟云学术

Total Maximum Daily Load Analysis and Modeling Advances: Connecting Climate Resilience, Socio-Environmental Systems, and Holistic Watershed Management

Published:2024-05-16 Issue: Volume:24 Page:1639-1652
ISSN:
Container-title:World Environmental and Water Resources Congress 2024
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Author:

Borah Deva K.¹²³⁴⁵,Zhang Harry X.¹²³⁴⁵,Chao Xiaobo¹²³⁴⁵,Kumar Saurav¹²³⁴⁵,Quinn Nigel W. T.¹²³⁴⁵,Imen Sanaz¹²³⁴⁵

Affiliation:

1. Senior Engineer, Dept. of Public Works, City of Chesapeake, Chesapeake, VA.

2. Research Program Manager on Integrated Water and Stormwater, Water Research Foundation, Alexandria, VA.

3. Senior Research Scientist, NCCHE, Univ. of Mississippi, University, MS.

4. Assistant Professor, Arizona State Univ., Tempe, AZ.

5. Research Group Leader, Berkeley National Laboratory, Berkeley, CA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485477.143

Reference51 articles.

1. A comparison of statistical downscaling methods suited for wildfire applications

2. Calibration and Validation of Watershed Models and Advances in Uncertainty Analysis in TMDL Studies;Ahmadisharaf E.;Journal of Hydrologic Engineering,2019

3. Temporal and spatial analysis of per and polyfluoroalkyl substances in surface waters of Houston ship channel following a large-scale industrial fire incident

4. Integral application of chemical mass balance and watershed model to estimate point and nonpoint source pollutant loads in data-scarce little akaki river, Ethiopia;Angello Z. A.;Sustainability,2020

5. ASCE-EWRI TMDL Analysis and Modeling Task Committee. 2022. Total Maximum Daily Load Development and Implementation: Models Methods and Resources. ASCE Manuals and Reports on Engineering Practice No. 150 Eds. H.X. Zhang N.W.T. Quinn D.K. Borah and G. Padmanabhan ASCE Reston VA. Available at https://ascelibrary.org/doi/book/10.1061/9780784415948.