Korean Journal of Ecology and Environment (생태와환경)

The Korean Society of Limnology (한국수생태학회)
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The Estimation of Probability Distribution by Water Quality Constituents Discharged from Paddy Fields during Non-storm Period

영농형태별 영농기간 동안 비강우시 논 유출수의 수질 항목별 확률분포 추정

  • 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)
  • 최동호 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 허승오 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 김민경 (농촌진흥청 기술협력국 국제기술협력과) ;
  • 엽소진 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 최순군 (국립농업과학원 농업환경부 기후변화생태과)
  • Received : 2018.11.05
  • Accepted : 2019.02.13
  • Published : 2019.03.31
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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.

본 연구에서는 영농기간 동안 비강우시에 영농형태에 따른 논에서 유출되는 T-N, T-P, COD, SS의 적정 확률분포를 분석하기 위해 2016년 전라북도 부안군 논 유역에서 모니터링을 수행하였다. 확률분포모형 선정을 위해 Kolmogorov-Smirnov 검정방법을 적용한 결과 Weibull 분포모형에서 대조구, 완효성비료처리구, 물꼬관리처리구의 모든 수질 항목에서(T-N, T-P, COD, SS) 적합성이 있는 것으로 나타났다. 이는 강우시에 모든 수질 항목에서 Log-Normal 분포모형과 Gamma 분포모형에서 적합성이 있는 것으로 보고한 선행연구 결과와는 다른 특성을 보였다. 따라서, 하천의 수질관리를 위해서는 시기별 적합한 확률분포모형을 적용해야 한다. 본 연구 결과에서 분석된 비강우시 영농형태별 (대조구, 완효성비료처리구, 물꼬관리처리구) 확률분포모형에 의해 선정된 수질 항목별 중앙값과 하천의 수질을 연계 분석한다면 논에서 유출되는 수질이 하천에 미치는 영향을 분석할 수 있을 것으로 판단된다.

Keywords

Acknowledgement

Supported by : 국립농업과학원

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