1 / 10

LRGV Decision Making Tool for LID Stormwater Detention

This project aims to develop a user-friendly design tool that incorporates innovative LID/GI technologies and reduces reliance on traditional detention pond solutions for stormwater management in the Lower Rio Grande Valley. The tool will improve water quality, conserve land resources, and promote BMPs through subsurface and LID storage calculations.

macmillan
Télécharger la présentation

LRGV Decision Making Tool for LID Stormwater Detention

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Developing a Decision Making Tool for Determining LID Stormwater Detention Requirements for the LRGV Javier Guerrero Civil Engineering, University of Texas Rio Grande Valley Kim Jones, Taufiq Alam Institute of Sustainable Energy and the Environment Texas A&M University-Kingsville 19th Annual Water Quality Management and Planning Conference May 26, 2017

  2. DMT for LRGV LID stormwater management and planning • Project Partners • Border Environmental Cooperation Council • US EPA Border 2020 program • Texas A&M University Kingsville • LRGV TPDES Stormwater Task Force • University of Texas Rio Grande Valley • Cameron County and Cities of Edinburg, Weslaco, Donna • South Texas College • Regional EDC

  3. Project Objectives • Develop a user friendly design tool (DMT) to reduce reliance on traditional detention pond solutions and promote innovative LID/GI technologies to reduce BMP footprints, conserve land resources and improve water quality by incorporating subsurface and LID storage and runoff reduction calculations into the design process for the LRGV • Incorporate outreach and education into workshops and seminars to facilitate training and implementation of the DMT into design and construction

  4. Methodology and Modeling DMT will incorporate extensive LID runoff and pollutant reduction data collected over several years from LID implementation program led by TAMUK and LRGV SW TF supported by TCEQ NPS 319 Program WinSLAMM model for SW BMP modeling peer reviewed and accepted by scientists, engineers and agencies Model calibration and validation achievable for unique BMPs in the LRGV such as pervious pavements, bioswales, biodetention cells, others

  5. Methodology and Modeling Extensive modeling runs of various combinations and connection of BMPs to be developed Outputs coalesced into user friendly approaches such as Excel spreadsheets and tables (DMT) for use by cities, counties, planners, and stakeholders DMT training and workshops implemented and enhanced for additional BMPs and connections

  6. Milestones and Updates Modeling QAP developed Example prototypes for typical LRGV mixed use communities and development scenarios in development Several initial meetings with DMT workgroup implemented Modeling QAP developed DMT WQ Conference roll out and engagement Modeling scenarios and post processing completed October 2017

  7. Example development Traditional detention basin OlusolaFasae, TAMUK

  8. Example development Connections of pervious pavement and bio-detention cells OlusolaFasae, TAMUK

  9. Example development Connections of pervious pavement and bioswales OlusolaFasae, TAMUK

  10. Acknowlegements Border Environmental Cooperation Council U.S. EPA Border 2020 Contract SOLTA-15-010 LRGV SW Task Force Partners University of Texas Rio Grande Valley

More Related