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contributor authorJonathon M. Giuffria
contributor authorDarrell J. Bosch
contributor authorDaniel B. Taylor
contributor authorNasrin Alamdari
date accessioned2017-12-16T09:19:20Z
date available2017-12-16T09:19:20Z
date issued2017
identifier other%28ASCE%29WR.1943-5452.0000782.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4241440
description abstractReducing nutrient loadings in urban areas is important for water quality improvement programs in many watersheds. Urban nutrient loadings are expected to increase and become more variable under climate change (CC). In this study, a water quality simulation model (SWMM), land cover data layers, and mathematical programming models were used to compare costs of abating nutrient loads under CC in the Difficult Run Watershed located in Fairfax County, Virginia. Predicted costs of abating mean total nitrogen (TN), total phosphorus (TP), and total suspended sediment (TSS) loadings under current climate conditions were compared with those for CC under certainty with a Cost Minimization Model and under uncertainty with a Safety First Model. Total nitrogen loadings abatement had the highest cost followed by TP and TSS abatement in that order. Costs of controlling TP and TSS increased with CC, whereas there was little change in TN control costs. Introducing uncertainty of loadings caused control costs to increase substantially for all three pollutants. The preferred pollutant control strategy was urban stream restoration. Policy makers seeking to meet water quality goals over a multiyear horizon should consider front-loading supplemental best management practices (BMPs) to offset the changes in nutrient loadings predicted for CC.
publisherAmerican Society of Civil Engineers
titleCosts of Water Quality Goals under Climate Change in Urbanizing Watersheds: Difficult Run, Virginia
typeJournal Paper
journal volume143
journal issue9
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0000782
treeJournal of Water Resources Planning and Management:;2017:;Volume ( 143 ):;issue: 009
contenttypeFulltext


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