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

Simple item page
dc.contributor.authorSu, Juhn-Yuan
dc.contributor.authorGoel, Ramesh
dc.contributor.authorBurian, Steven
dc.contributor.authorHinners, Sarah J.
dc.contributor.authorKochanski, Adam
dc.contributor.authorStrong, Courtenay
dc.contributor.authorBarber, Michael E.
dc.contributor.otherUtah System of Higher Education
dc.contributor.otherUniversity of Utah
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2021-08-25T20:12:30Z
dc.date.available2021-08-25T20:12:30Z
dc.date.issued2021
dc.description.abstractClimate 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.format.mimetypeapplication/pdf
dc.identifier.citationSu, 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).
dc.identifier.doi10.3390/w13131738
dc.identifier.orcidhttps://orcid.org/0000-0001-7820-2831
dc.identifier.orcidhttps://orcid.org/0000-0002-5919-6621
dc.identifier.orcidhttps://orcid.org/0000-0001-5866-4377
dc.identifier.urihttp://ir.ua.edu/handle/123456789/8056
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectwater temperature
dc.subjectflow quantity
dc.subjectclimate change
dc.subjectnitrogen
dc.subjectphosphorus
dc.subjectbiochemical oxygen demand (BOD)
dc.subjectwater quality trading
dc.subjectwater quality analysis simulation program (WASP)
dc.subjectLONGITUDINAL DISPERSION COEFFICIENT
dc.subjectLAND-USE CHANGE
dc.subjectIMPACTS
dc.subjectURBANIZATION
dc.subjectSENSITIVITY
dc.subjectSIMULATION
dc.subjectMODEL
dc.subjectEnvironmental Sciences
dc.subjectWater Resources
dc.subjectEnvironmental Sciences & Ecology
dc.titleWater Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristicsen_US
dc.typetext
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Water Quality Trading Framework with Uncertainty for River Systems Due to Climate and Population Characteristics_Su.pdf
Size:
30.77 MB
Format:
Adobe Portable Document Format
Description:
main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.27 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research and Publications - Department of Civil, Construction & Environmental Engineering