In this study, K-CWQI (Korean-Comprehensive Water Quality Index) including five items such as pH, DO, BOD, SS and T-Coli developed by NIER (National Institute of Environmental Research) in 2006 is calculated by using the result of monitoring in the major tributaries of Gumho-River Basin from 2015 to 2016 and reviewed about applicability when evaluating water quality in the basin. The scope of calculated K-CWQI is from 70 to 90 points in five tributaries and water quality of major tributaries of Gumho-River Basin is evaluated above "slightly good grade". The highest value of K-CWQI is 88 points of Palgeacheon on the other hand, the lowest value of K-CWQI is 77 points of Namcheon. Also, the grade evaluated by K-CWQI and BOD is compared in order to apply K-CWQI to assessment of water quality. The results of this comparison are summarized as follows. The degree of agreement between the grade evaluated by K-CWQI and BOD is reached to 93% when including 1st grade difference as well as exact match and the monthly variation of K-CWQI is relatively lower than BOD. Therefore, K-CWQI not only can complement current water quality standard consisting of a single item, but also assess water environment of tributary comprehensively.

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Despite the implementation of TMDL, the water quality in lower watershed of Nam river dam has worsened continuously since 2005. Multifarious pollution sources such as cities and industrial districts are scattered around it. Nam river downstream bed slope is very gentle towards the downstream water flow of slows it down even more, depending on the water quality deterioration is accelerated eutrophication occurs. In this study, the mainstream in lower watershed of Nam river dam region to target aquatic organic matter by phytoplankton growth contribution was evaluated by statistical analysis. and statistical evaluation of water quality and the accuracy of forecasting, model calibration and verification procedures by completing QUALKO2 it's eutrophic phenomena that occur frequently in the dam outflow through scenarios predict an increase in water quality management plans to present the best should.

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