Chapter
Apr 26, 2012
Developing Fecal TMDLs for Watershed Management Using Fuzzy Based Approach
Publication: Watershed Management 2010: Innovations in Watershed Management under Land Use and Climate Change
Abstract
Total maximum daily loads (TMDLs) for different water quality constituents were developed for many creeks, which are listed by United States Environmental Protection Agency (USEPA) 303(d) document. When available data for estimation of loads are uncertain, the TMDL decisions are also affected. To provide flexibilities for the decision maker, in this research, a fuzzy model based TMDL development was attempted. For examining the suitability of this proposed approach, a case study had been done with the available data for two watersheds namely Coffee creek and Salt Creek in the historic Indiana Dunes Region of North West Indiana.
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© 2010 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Case studies
- Clean Water Act
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Environmental engineering
- Fuzzy logic
- Management methods
- Methodology (by type)
- Pollutants
- Practice and Profession
- Research methods (by type)
- River engineering
- River systems
- Rivers and streams
- Water and water resources
- Water management
- Water policy
- Water quality
- Water treatment
- Watersheds
Authors
Affiliations
Chandramouli Viswanathan
Assistant Professor, Civil Engineering, Purdue University Calumet, Potter 231, 2200 169th street, Hammond, Indiana, 46321.
Madhusudhan Narayana
Graduate student, Purdue University Calumet, 2200 169th street, Hammond, Indiana, 46321.
S. V. T. Ramesh
Assistant Professor, Civil Engineering, Florida Atlantic University, Boca Raton, Florida, 334 31
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.