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http://dx.doi.org/10.11614/KSL.2019.52.1.021

The Estimation of Probability Distribution by Water Quality Constituents Discharged from Paddy Fields during Non-storm Period  

Choi, DongHo (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration)
Hur, Seung-Oh (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration)
Kim, Min-Kyeong (International Technology Cooperation Center (ITCC), Rural Development Administration)
Yeob, So-Jin (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration)
Choi, Soon-Kun (Climate Change & Agroecology Division, Department of Agricultural Environment, National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Ecology and Environment / v.52, no.1, 2019 , pp. 21-27 More about this Journal
Abstract
Analysis of water quality distribution is very important for river water quality management. Recently, various studies have been conducted on the analysis of water quality distribution according to reduction methods of nonpoint pollutant. The objective of this study was to select the probability distributions of water quality constituents (T-N, T-P, COD, SS) according to the farming forms (control, slow release fertilizer, water depth control) during non-storm period in the paddy fields. The field monitoring was conducted monitoring site located in Baeksan-myun, Buan-gun, Jeollabuk-do, Korea during non-storm period from May to September in 2016. Our results showed that there were no differences in water quality among three different farming forms, except for SS of control and water depth control. K-S method was used to analyzed the probability distributions of T-N, T-P, COD and SS concentrations discharged from paddy fields. As a results of the fitness analysis, T-N was not suitable for the normal probability distribution in the slow release fertilizer treatment, and the log-normal probability distribution was not suitable for the T-P in control treatment. The gamma probability distribution showed that T-N and T-P in control and slow release fertilizer treatment were not suitable. The Weibull probability distribution was found to be suitable for all water quality constituents of control, slow release fertilizer, and water depth control treatments. However, our results presented some differences from previous studies. Therefore, it is necessary to analyze the characteristics of pollutants flowing out in difference periods according to various farming types. The result of this study can help to understand the water quality characteristics of the river.
Keywords
probability distribution; non-storm period; paddy fields;
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Times Cited By KSCI : 7  (Citation Analysis)
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