Abstract

In this paper, a review of advances in total maximum daily load (TMDL) implementation planning by modeling best management practices (BMPs) and green infrastructure (GI) practices along with enhanced (hybrid/streamlining) approaches is presented. The review emanates from Chapter 12 of the recent ASCE Manual of Practice on TMDLs. The latest models and modeling tools, specifically the United States Environmental Protection Agency’s (USEPA’s) GI Modeling Toolkit and the Landscape and Green Infrastructure Design (L-GrlD) model for formulating GI strategies with flexibility to support stakeholder engagement, are reviewed. In addition, other decision support tools that can help advance the state-of-the-practice of TMDL implementation are included in the synthesis. Advances in incorporating model uncertainties related to BMPs and GI practices in TMDL analysis are briefly discussed. Furthermore, enhanced approaches to cost-effective TMDL implementation measures are discussed, which can be combined with other watershed management strategies for greater synergy between TMDL modelers and other watershed stakeholders. Some emerging technologies such as remote sensing can be useful for monitoring the effectiveness of the TMDL implementation measures over time. Several emerging technologies are discussed through an example illustrating the long-term efficacy of implementation practices. Finally, an enhanced approach to the full TMDL life cycle that explicitly incorporates BMPs and GI practices in the TMDL is proposed, and expected benefits of this approach are demonstrated with conceptual diagrams.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

We would like to express our gratitude to the anonymous peer reviewers and editor for their valuable feedback that greatly improved the paper. The research is part of the ASCE EWRI TMDL Analysis and Modeling Task Committee work. We are grateful to the task committee and its parent Watershed Management Technical Committee for supporting this research and the paper.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 150Issue 7July 2024

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Published online: Apr 26, 2024
Published in print: Jul 1, 2024
Discussion open until: Sep 26, 2024

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Deva K. Borah, M.ASCE [email protected]
Senior Engineer, City of Chesapeake, Dept. of Public Works, 306 Cedar Rd., Chesapeake, VA 23322 (corresponding author). Email: [email protected]
Harry X. Zhang, M.ASCE [email protected]
Research Program Manager on Integrated Water and Stormwater, The Water Research Foundation, 1199 N. Fairfax St., Suite 900, Alexandria, VA 22314. Email: [email protected]
Professor, School of Public Policy and Urban Affairs, Northeastern Univ., Boston, MA 02120. ORCID: https://orcid.org/0000-0002-4111-3357. Email: [email protected]
Assistant Research Professor, Dept. of Civil and Environmental Engineering, Florida State Univ., Tallahassee, FL 32310. ORCID: https://orcid.org/0000-0002-9452-7975. Email: [email protected]
Meghna Babbar-Sebens, M.ASCE [email protected]
Professor, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR 97331. Email: [email protected]
Research Group Leader, Ecology Dept., Climate and Environmental Sciences Division, Berkeley National Laboratory, Berkeley, CA 94720. ORCID: https://orcid.org/0000-0003-3333-4763. Email: [email protected]
Assistant Professor, School of Sustainable Engineering and Built Environment, Arizona State Univ., Tempe, AZ 85287. ORCID: https://orcid.org/0000-0002-9664-1667. Email: [email protected]
Vamsi Krishna Sridharan, M.ASCE [email protected]
Senior Environmental Scientist, Tetra Tech, 10306 Eaton Place, Ste. 340, Fairfax, VA 22030. Email: [email protected]
Navaratnam Leelaruban, M.ASCE [email protected]
Water Resources Engineer, HNTB Corporation, 3 Executive Campus, Suite 550, Cherry Hill, NJ 08002. Email: [email protected]
TMDL Modeling Coordinator, Virginia Dept. of Environmental Quality, 1111 E. Main St., Suite 1400, Richmond, VA 23219. Email: [email protected]

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