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dc.contributor.authorRobert Nunoo
dc.contributor.authorPaul Anderson
dc.contributor.authorSaurav Kumar
dc.contributor.authorJun-Jie Zhu
dc.date.accessioned2022-01-30T19:42:36Z
dc.date.available2022-01-30T19:42:36Z
dc.date.issued2020
dc.identifier.other%28ASCE%29HE.1943-5584.0001889.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265834
dc.description.abstractThe margin of safety (MOS) accounts for uncertainties in the total maximum daily load (TMDL) development process and the variabilities involved in simulating systems, providing a complete description of the degree of protection for a waterbody. Despite numerous discussions on the estimation and incorporation of MOS in TMDLs, there are few post-TMDL studies about the MOS selection process, and there are limited guidelines for selecting MOS values. In this study, natural language processing was employed to review MOS values of TMDLs approved between 2002 and 2016. Reasons such as type of impairment, waterbody types, and designated waterbody given by TMDL developers for chosen MOS values uses were explored. MOS values across states and United States Environmental Protection Agency regions were also analyzed and compared. The results suggested the MOS value of 10% of the estimated load capacity of a waterbody is the most used value across the states and territories of the United States and that 84% of the explicit MOS values selected were not based on any uncertainty estimation method. In addition, the waterbody type and the designated water-use category appear to be correlated with MOS values, and lakes and designated use for aquatic life protection generally had larger MOS values.
dc.publisherASCE
dc.titleMargin of Safety in TMDLs: Natural Language Processing-Aided Review of the State of Practice
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue4
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/(ASCE)HE.1943-5584.0001889
dc.page04020002
dc.treeJournal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 004
dc.contenttypeFulltext


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