Optimization of nonpoint source best management practices selection through a calibrated HSPF modeling approach Public Deposited
- Last Modified
- March 21, 2019
- Creator
-
Hunn, Joshua Charles
- Affiliation: Gillings School of Global Public Health, Department of Environmental Sciences and Engineering
- Abstract
- Nonpoint source pollution is the leading cause of in-stream water quality impairments, with pathogens alone responsible for more than 40% of all such impairments in North Carolina. Without a concerted effort to assess and manage these overland pollutant sources from a comprehensive approach, there will continue to be minimal progress toward finally realizing the goals of the Clean Water Act. This work addresses nonpoint source pollution through the development of a fully calibrated and validated Hydrological Simulation Program-FORTRAN model for Northeast Creek Watershed, as well as the creation of a linear optimization model for microbial nonpoint source Best Management Practice (BMP) selection. Based upon optimized model results, there would need to be an investment in structural and non-structural BMPs of over $20,000,000 throughout the course of the next twenty years in order for Northeast Creek to meet in-stream regulatory requirements.
- Date of publication
- August 2007
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Characklis, Gregory
- Degree granting institution
- University of North Carolina at Chapel Hill
- Language
- Access
- Open access
- Parents:
This work has no parents.
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Optimization of nonpoint source best management practices selection through a calibrated HSPF modeling approach | 2019-04-11 | Public |
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