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http://dx.doi.org/10.5338/KJEA.2014.33.1.44

Understanding Spatial Variations of Water Quality Using Agricultural Nutrient Indices in Chonnam Province  

Jeon, Byeong-Jun (Department of Rural & Biosystems Engineering, Chonnam National University)
Lim, Sang-Sun (Department of Rural & Biosystems Engineering, Chonnam National University)
Lee, Kwang-Seung (Department of Rural & Biosystems Engineering, Chonnam National University)
Lee, Se-In (Department of Rural & Biosystems Engineering, Chonnam National University)
Ham, Jong-Hyun (Department of Rural & Biosystems Engineering, Chonnam National University)
Yoo, Sun-Ho (Department of Agricultural Biotechnology, Seoul National University)
Yoon, Kwang-Sik (Department of Rural & Biosystems Engineering, Chonnam National University)
Choi, Woo-Jung (Department of Rural & Biosystems Engineering, Chonnam National University)
Publication Information
Korean Journal of Environmental Agriculture / v.33, no.1, 2014 , pp. 44-51 More about this Journal
Abstract
BACKGROUND: Water quality of rural areas are susceptible to agricultural nutrient input and supply such as chemical fertilizer and livestock manure. This study was conducted to evaluate the usefulness of nutrient (N and P) indices in understanding spatial variations of water quality across Chonnam province which is a typical agricultural region in Korea. METHODS AND RESULTS: The nutrient indices including chemical fertilizer supply, livestock manure production, and nutrient balance were correlated with water quality data (T-N, T-P, BOD, and COD) for the twenty-two districts of the province. Concentration of T-N were positively correlated with chemical fertilizer supply, livestock manure N production, and nutrient balance (P<0.05 or P<0.01). Meanwhile, T-P concentration was not correlated with these nutrient indices; however, there was a tendency that T-P concentration increases with livestock manure P production (P=0.06) and with nutrient balance (P=0.09). These results suggest that T-N concentration is susceptible to both chemical fertilizer and livestock manure; whereas T-P is likely to be affected by livestock manure rather than chemical fertilizer. The concentrations of BOD and COD were also positively (P<0.05 or P<0.01) correlated with livestock manure production. CONCLUSION: This study shows the usefulness of nutrient indices in understanding spatial variations of water quality and suggests that livestock manure rather than chemical fertilizer can be a more critical water pollution source and thus highlights the need for more attention to livestock manure treatments for rural water quality management.
Keywords
Chemical fertilizer; Livestock manure; Nonpoint source pollution; Nutrient balance; Water quality;
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