Water Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristics

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dc.contributor.author Su, Jun-Yuan
dc.contributor.author Goel, Ramesh
dc.contributor.author Burian, Steven
dc.contributor.author Hinners, Sarah J.
dc.contributor.author Kochanski, Adam
dc.contributor.author Strong, Courtenay
dc.contributor.author Barber, Michael E.
dc.date.accessioned 2021-08-25T20:12:30Z
dc.date.available 2021-08-25T20:12:30Z
dc.date.issued 2021
dc.identifier.citation Su, J., Goel, R., Burian, S., Hinners, S., Kochanski, A., Strong, C., Barber, M. (2021): Water Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristics. Water. 13(13). en_US
dc.identifier.uri http://ir.ua.edu/handle/123456789/8056
dc.description.abstract Climate change and population growth serve as fundamental problems in assessing potential impacts on future surface water quality. In addition to uncertainties in climate depicted in various representative concentration pathway (RCP) scenarios, futuristic population growth mimicking historical conditions is subject to uncertainties related to changing development patterns. The combination of climate change and population characteristics exacerbates concerns regarding the future water quality performance of river systems. Previous studies have established linkages among future climate, population impacts and watershed water quality performance. However, these linkages have not been specifically incorporated into water quality trading programs. Rather than temporally variant adjustment factors, WQT programs use constant margins of safety for pollutant reduction credits resulting in trade ratios that do not explicitly account for futuristic climate and population uncertainties. Hence, this study proposes a conceptual framework for water quality trading establishing adjustment factors as margins of safety on trade ratios for pollutant reduction credits examining climate and population characteristics separately followed by evaluating them combined. This new framework is demonstrated using a programming script that calculates the margins of safety based on simulation results conducted through a water quality model of the Jordan River in Salt Lake City, UT, USA over a 3-year timeframe. With margins of safety over magnitudes of ±2 over the Jordan River simulations, this research introduces the framework as a foundation for developing adjustment factors for addressing climatic and population characteristics upon river systems. en_US
dc.description.uri https://doi.org/10.3390/w13131738
dc.format.mimetype application/pdf
dc.language English en_US
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject water temperature en_US
dc.subject flow quantity en_US
dc.subject climate change en_US
dc.subject nitrogen en_US
dc.subject phosphorus en_US
dc.subject biochemical oxygen demand (BOD) en_US
dc.subject water quality trading en_US
dc.subject water quality analysis simulation program (WASP) en_US
dc.title Water Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristics en_US
dc.type text

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