Climate change effect on water quality performance of lakes, rivers and streams is a significant concern for watershed planning and management. Climate change characteristics may potentially increase the likelihood that waterbodies will fail to meet established water quality standards, often obligating watershed managers to undertake expensive monitoring and load allocation studies for possible remedies against such impairment. One such load allocation study involves the implementation of water quality trading (WQt), which often is proposed as a mechanism for improving surface water quality goals under a socially and economically feasible manner. However, while future growth and land use change is incorporated through a margin of safety, WQt markets do not typically incorporate the characteristics of climate change that have been suggested to exhibit strong linkages against achieving the desired levels of water quality benefit. Consequently, this modelling study evaluates the characteristics of climate change upon the levels of water quality benefit along a river system subject to distinct load removal exercises: a) removal upon point sources only and b) removal based on a point–nonpoint source trad- ing mechanism under a theoretical WQt program. this study applies such assessments upon the load allocation exercises through carbonaceous biochemical oxygen demand reduction for addressing a recognized dissolved oxygen problem along the Jordan river in Utah, conducting such analyses through selected climate change projections described by the representative concentration pathways. For achieving such tasks, separate simulations are conducted through the Water Quality Assessment simulation program, evaluating the performance of such trading mechanisms under observed meteorological data against modelled climate data through selected representative concentration pathway projections under a historical period from Water year 2007 to 2009. This exercise assesses the performance of such load allocation studies subject to climatic characteristics toward suggesting linkages among climate change, water quality benefit and the effectiveness of a theoretical WQt mechanism.
carbonaceous biochemical oxygen demand (CBOD), dissolved oxygen, total maximum daily load (TMDL), Water Quality Assessment Simulation Program (WASP).
 Smith, E.P., Ye, K., Hughes, C., & Shabman, L. Statistical assessments of violations of water quality standards under Section 303(d) of the Clean Water Act. Environmental Science & Technology, 35(3), pp. 606-612, 2001.
 U.S. E.P.A. Protocol for Developing Nutrient TMDLs, First Edition, Office of Water (4503F), EPA 841-B-99-007, Washington, D.C., 1999.
 Ribaudo, M.O. & Gottlieb, J. Point-nonpoint trading – can it work? Journal of the American Water Resources Association (JAWRA), 47(1), pp. 5-14, 2011.
 U.S. E.P.A. Water Quality Trading Toolkit for Permit Writers. Office of Wastewater Management, EPA 833-R-07-004, Washington, D.C., 2009.
 Woodward, R.T., Kaiser, R.A., & Wicks, A.-M. B. The structure and practice of water quality trading markets. Journal of the American Water Resources Association (JAWRA), 38(4), pp. 967-979, 2002.
 Wisconsin Department of Natural Resources. Guidance for Implementing Water Quality Trading in WPDES Permits. Guidance 3800-2013-04. https://dnr.wi.gov/topic/sur-facewater/documents/WQT_guidance_Aug_21_2013signed.pdf, 2013 (accessed 26 February 2020).
 Woodbury, J. & Shoemaker, C.A. Stochastic assessment of long-term impacts of phosphorus management options on sustainability with and without climate change. Journal of Water Resources Planning and Management, 139(5), pp. 512-519, 2013.
 Ahn, J.M. & Lyu, S. Assessing future river environments in Seomjin River Basin due to climate change, Journal of Environmental Engineering, 143(5), 04017005, 2017.
 Freni, G., Mannina, G., & Viviani, G. Role of modeling uncertainty in the estimation of climate and socioeconomic impact on river water quality. Journal of Water Resources Planning and Management, 138(5), pp.479-490, 2012.
 Johnson, T.E., Butcher, J.B., Parker, A., & Weaver, C.P. Investigating the sensitivity of U.S. streamflow and water quality to climate change: U.S. EPA Global Change Research Program’s 20 watersheds project. Journal of Water Resources Planning and Management, 138(5), pp. 453-464, 2012.
 Li, Z., Clark, R.M., Buchberger, S.G., & Yang, Y.J. Evaluation of climate change impact on drinking water treatment plant operation. Journal of Environmental Engineering, 140(9), A4014005, 2014.
 Utah Division of Water Quality. Prioritizing Utah’s 303(d) List. https://deq.utah.gov/legacy/programs/water-quality/watersheds/docs/2016/303d-list-for%20tmdl-develop-ment.pdf, 2016 (accessed 19 February 2020).
 Martin, J.L., Ambrose, R.B., & Wool, T.A. WASP8 Macro Algae-Model Theory and User’s Guide. Office of Research and Development, U.S. Environmental Protection Agency, Washington, D.C.
 Abatzoglou, J.T. Development of gridded surface meteorological data for ecological applications and modeling. International Journal of Climatology, 33, pp. 121-131, 2013.
 Abatzoglou, J.T. & Brown, T.J. A Comparison of statistical downscaling methods suited for wildfire applications. International Journal of Climatology, 32, pp. 772-780, 2012.
 Forster, K., Hanzer, F., Winter, B., Marke, T., & Strasser, U. An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1). Geoscientific Model Development, 9, pp. 2315-2333, 2016.
 Smith, K., Strong, C., & Wang, S.-Y. Connectivity between historical Great Basin precipitation and Pacific Ocean variability: a CMIP5 model evaluation. Journal of Climate, 28, pp. 6096-6112, 2015.
 Stantec Consulting Ltd. Jordan River TMDL: 2010 Qual2Kw Model Calibration- Technical Memo. Utah Department of Environmental Quality, Salt Lake City, UT, 2010.
 Mareddy, A.R. Environmental Impact Assessment: Theory and Practice. BSP Books Pvt Ltd, Elsevier, Inc., Cambridge, MA, 2017.