Economic models for TMDL assessment and implementation

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dc.contributorVirginia Techen
dc.contributor.authorBosch, Darrell J.en
dc.contributor.authorOgg, Claytonen
dc.contributor.authorOsei, Edwarden
dc.contributor.authorStoecker, Arthur L.en
dc.contributor.departmentEconomicsen
dc.date.accessed2014-05-29en
dc.date.accessioned2014-05-30T13:13:48Zen
dc.date.available2014-05-30T13:13:48Zen
dc.date.issued2006en
dc.description.abstractThe TMDL assessment and implementation process is designed to achieve designated uses for water bodies, which are set by states based on criteria including perceived costs and benefits. Setting water quality goals based on designated uses and plans to achieve these goals have important implications for public welfare. Both treatment and damage costs should be considered in simultaneously determining the desired water quality goal and allocating pollution reductions among sources to achieve that goal. Assessing and implementing TMDL plans are complicated by uncertainties about pollution damages and stakeholder responses. Economic optimization or simulation models linked to water quality models allow water quality impacts and costs of TMDL standards to be assessed Higher water quality thresholds may be reserved for watersheds with higher estimated benefits. Costs of achieving standards can be reduced by targeting reductions at pollution sources with the lowest costs of achieving reductions. Trading programs can help achieve efficient targeting of pollution reductions while distributing costs equitably. The effectiveness of economic models to assist in setting water quality goals and in TMDL program planning and implementation can be improved by using economic models to analyze costs and benefits of water quality improvements and to assist with pollution targeting and trading programs to minimize costs of reducing pollution. Multi-media impacts of pollution should be included within economic and environmental water quality models. Given uncertainties about benefits and costs of achieving TMDL standards, policymakers and program managers need to collect more data on stakeholder responses to TMDL programs as well as better monitoring data on pollutant levels and functioning of aquatic systems.en
dc.identifier.citationBosch, D. J.; Ogg, C.; Osei, E.; Stoecker, A. L., "Economic models for TMDL assessment and implementation," Transactions of the ASABE. Vol. 49(4): 1051-1065. (doi: 10.13031/2013.21744) @2006en
dc.identifier.doihttps://doi.org/10.13031/2013.21744en
dc.identifier.issn2151-0040en
dc.identifier.issn2151-0032en
dc.identifier.urihttp://hdl.handle.net/10919/48204en
dc.identifier.urlhttp://elibrary.asabe.org/abstract.asp?aid=21744&t=3&dabs=Y&redir=&redirType=en
dc.language.isoen_USen
dc.publisherAmerican Society of Agricultural and Biological Engineersen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcost minimizationen
dc.subjecteconomicsen
dc.subjectefficiencyen
dc.subjectequityen
dc.subjectoptimization modelsen
dc.subjectpolicyen
dc.subjectpollution allocationen
dc.subjectsimulation modelsen
dc.subjecttmdlen
dc.subjectuncertaintyen
dc.subjectstated preference methodsen
dc.subjectenvironmental impactsen
dc.subjectoptimizationen
dc.subjectmanagementen
dc.subjectvaluationen
dc.subjectcosten
dc.subjectswaten
dc.subjectagricultureen
dc.titleEconomic models for TMDL assessment and implementationen
dc.title.serialTransactions of the Asabeen
dc.typeArticle - Refereeden

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