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http://dx.doi.org/10.17663/JWR.2022.24.4.301

A study on seasonal characteristics through long-term water quality monitoring in the Nakdong River Watershed  

Kal, Byungseok (Daon Solution co., Ltd.)
Park, Jaebeom (Daon Solution co., Ltd.)
Kim, Seongmin (Nakdong River Environment Research Center, National Institute of Environmental Research)
Shin, Sangmin (Nakdong River Environment Research Center, National Institute of Environmental Research)
Jang, Soonja (Nakdong River Environment Research Center, National Institute of Environmental Research)
Jeon, Minjae (Nakdong River Environment Research Center, National Institute of Environmental Research)
Publication Information
Journal of Wetlands Research / v.24, no.4, 2022 , pp. 301-311 More about this Journal
Abstract
The purpose of this study is to analyze the seasonal characteristics of water quality using long-term water quality monitoring data. Seasonal characteristics of water quality were analyzed using monitoring data from 34 tributaries where long-term monitoring was performed in the Nakdong River system, and average data analysis of water quality, coefficient of variation analysis, and trend analysis were performed for seasonal analysis. For seasonal analysis, average data analysis of water quality, coefficient of variation analysis, and trend analysis were performed. As a result of the evaluation of the coefficient of variation, tributaries were larger than main streams, and BOD, T-P, and TOC were larger in autumn and T-N were larger in spring. Trend analysis was analyzed using Mann-Kendall and Sen's Slope. BOD, T-N, and T-P tended to decrease, but TOC had a lot to increase. Through this study, it was possible to evaluate the availability of long-term water quality monitoring data and analyze seasonal characteristics, and to analyze the stabilization period of water quality and changes in pollutant sources for watershed management.
Keywords
Long-term monitoring; Cofficient of variation; Seasonal Analysis; Mann-Kendall test;
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