Optimization of nonpoint source best management practices selection through a calibrated HSPF modeling approach Public Deposited

Analytics

Downloadable Content

Download PDF
Request Accessible Version
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
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.

Items

Thumbnail Title Date Uploaded Visibility Actions
Jm214q005?file=thumbnail Optimization of nonpoint source best management practices selection through a calibrated HSPF modeling approach 2019-04-11 Public