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Development of Regression Models for Estimation of Unmeasured Dissolved Organic Carbon Concentrations in Mixed Land-use Watersheds

복합토지이용 유역의 수질 관리를 위한 미측정 용존유기탄소 농도 추정

  • Min Kyeong Park (Divison of soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Jin a Beom (Department of Rural and Bio-systems Engineering) ;
  • Minhyuk Jeung (Department of Rural and Bio-systems Engineering & Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University) ;
  • Ji Yeon Jeong (Department of Rural and Bio-systems Engineering & Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University) ;
  • Kwang Sik Yoon (Department of Rural and Bio-systems Engineering & Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture (BK21 four), Chonnam National University)
  • 박민경 (농촌진흥청 국립농업과학원 토양비료과) ;
  • 범진아 (전남대학교 지역.바이오시스템공학과) ;
  • 정민혁 (전남대학교 지역.바이오시스템공학과 BK21 기후지능형 간척지 농업 연구팀) ;
  • 정지연 (전남대학교 지역.바이오시스템공학과 BK21 기후지능형 간척지 농업 연구팀) ;
  • 윤광식 (전남대학교 지역.바이오시스템공학과 BK21 기후지능형 간척지 농업 연구팀)
  • Received : 2023.01.11
  • Accepted : 2023.03.13
  • Published : 2023.03.30

Abstract

In order to prevent water pollution caused by organic matter, Total Organic Carbon(TOC) has been adopted indicator and monitored. TOC can be divided into Dissolved Organic Carbon(DOC) and Particulate Organic Carbon(POC). POC is largely precipitated and removed during stream flow, which making DOC environmentally significant. However, there are lack of studies to define spatio-temporal distributions of DOC in stream affected by various land use. Therefore, it is necessary to estimate the past DOC concentration using other water quality indicators to evaluate status of watershed management. In this study, DOC was estimated by correlation and regression analysis using three different organic matter indicators monitored in mixed land-use watersheds. The results of correlation analysis showed that DOC has the highest correlation with TOC. Based on the results of the correlation analysis, the single- and multiple-regression models were developed using Biochemical Oxygen Demand(BOD), Chemical Oxygen Demand(COD), and TOC. The results of the prediction accuracy for three different regression models showed that the single-regression model with TOC was better than those of the other multiple-regression models. The trend analysis using extended average concentration DOC data shows that DOC tends to decrease reflecting watershed management. This study could contribute to assessment and management of organic water pollution in mixed land-use watershed by suggesting methods for assessment of unmeasured DOC concentration.

Keywords

Acknowledgement

This work was supported by 'Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture' (BK21 four) and 'Basic science research program' through the National Research Foundation of Korea funded by the Ministry of Education (NRF-2020R1I1A3073942)

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