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Final Thesis Anthony Dietrich.pdf (15.24 MB)

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Estimation of stormwater runoff mitigation in Lucas County, Ohio using SWMM modeling and GIS analysis

Dietrich, Anthony Thomas
http://orcid.org/0000-0002-7212-0613
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438906673

Abstract Details

2015, Master of Science, University of Toledo, Civil Engineering.
Increases in impervious surface, a direct result of urbanization, have resulted in the impairment of the natural water cycle. The transition from pervious vegetated cover to impervious pavement and building cover results in greater surface runoff generation and decreased groundwater recharge. The increase in runoff volumes results in greater pollutant delivery to receiving streams and disrupts the natural stream hydrology. The frequency of high intensity precipitation events is increasing due to global climate change, exacerbating the effects of urban runoff on the water system. The water quantity and quality impairments associated with urban stormwater runoff can be mitigated using bioretention LID controls. The overarching objective of this project was to assist in the development of a cohesive and coordinated plan for implementation of green stormwater strategies in Toledo - Lucas County. In this study, a combination of SWMM5 modeling and GIS analyses were used to identify candidate properties for bioretention, in three urban land use types, throughout Lucas County, Ohio. The GIS analysis using soil, land-use and parcel data identified 7,159 bioretention candidate parcels in vacant residential, multi-family residential and commercial properties. SWMM5 modeling results applied to the identified parcels estimated a potential total volume reduction of over four billion liters per year, generated over 1140 treated urban hectares. The results of the study support current bioretention design standards and note the benefit of the utilization of bioretention in some Hydrologic Soil Group D soils. This work supports future studies utilizing similar methodology to plan and prioritize LID control implementation and to estimate large scale pollutant removal performance.
Cyndee Gruden, Dr. (Advisor)
Defne Apul, Dr. (Committee Member)
Richard Becker, Dr. (Committee Member)
91 p.
Civil Engineering; Engineering; Environmental Engineering; Geography; Water Resource Management
Green Stormwater Infrastructure; GSI; Low Impact Development; LID; SWMM model; GIS analysis; Bioretention; runoff; stormwater

Recommended Citations

Citations

  • Dietrich, A. T. (2015). Estimation of stormwater runoff mitigation in Lucas County, Ohio using SWMM modeling and GIS analysis [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438906673

    APA Style (7th edition)

  • Dietrich, Anthony. Estimation of stormwater runoff mitigation in Lucas County, Ohio using SWMM modeling and GIS analysis. 2015. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438906673.

    MLA Style (8th edition)

  • Dietrich, Anthony. "Estimation of stormwater runoff mitigation in Lucas County, Ohio using SWMM modeling and GIS analysis." Master's thesis, University of Toledo, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438906673

    Chicago Manual of Style (17th edition)

toledo1438906673
421
© 2015, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.