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Assessment of surface water quality in the Big Sunflower River Watershed of Mississippi Delta using nonparametric analysis

Formally Refereed

Abstract

Assessment of surface water quality in the Mississippi Delta is essential to quantify the eutrophication of the Gulf of Mexico. This study estimated the characteristics and variations of surface water quality at three study sites in the Big Sunflower River Watershed (BSRW) within the Mississippi Delta using Kruskal- Wallis, Dunn, Mann-Kendall, and Pettitt tests. In general, contents of some water quality constituents such as nitrate-nitrogen (NO3 − N) and total phosphorus (TP) in the BSRW varied from site to site each year, whereas variations of other constituents such as pH and dissolved oxygen (DO) each year were basically not significant. The highest median concentrations were found in spring for NO3 − N and total nitrogen (TN); in summer for specific conductance (SC), Na, and Cl; and in winter for DO. Mann-Kendall trend analysis revealed that there was an increasing annual trend at Leland but a decreasing annual trend at Merigold for NO3 − N concentrations even though such changes were very small, whereas there was no annual trend for TP at any of the three study sites. Pettitt’s test further identified that the NO3 − N concentrations had an abrupt increase in February 2009 at the median value of 0.44 mg L−1 in Leland and an abrupt decrease in June 2012 at the median value of 3.65 mg L−1 in Merigold. A very good linear correlation existed between total dissolved solid (TDS) and magnesium (Mg) in the BSRW, which could be used to estimate TDS from Mg concentrations for this watershed when the data for TDS are absent.

Keywords

Mississippi Delta, Nonparametric analysis, Stream water quality

Citation

Ouyang, Ying; Feng, Gary; Parajuli, Prem; Leininger, Theodor; Wan, Yongshan; Jenkins, Johnie N. 2018. Assessment of surface water quality in the Big Sunflower River Watershed of Mississippi Delta using nonparametric analysis. Water, Air, & Soil Pollution. 229(11): 373-. https://doi.org/10.1007/s11270-018-4022-8.
Citations
https://www.fs.usda.gov/research/treesearch/58455