Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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A Study on Model Improvement using Inherent Optical Properties for Remote Sensing of Cyanobacterial Bloom on Rivers in Korea

국내 수계의 남조류 원격모니터링을 위한 고유분광특성모델 개선 연구

  • Ha, Rim (Department of Urban Infrastructure Research, Seoul Institute of Technology) ;
  • Nam, Gibeom (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Park, Sanghyun (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Shin, Hyunjoo (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Lee, Hyuk (Research Strategy and Planning Division, National Institute of Environmental Research) ;
  • Kang, Taegu (Water Quality Assessment Research Division, National Institute of Environmental Research) ;
  • Lee, Jaekwan (Water Environment Research Department, National Institute of Environmental Research)
  • 하림 (서울기술연구원 도시인프라연구실) ;
  • 남기범 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 박상현 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 신현주 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 이혁 (국립환경과학원 연구전략기획과) ;
  • 강태구 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 이재관 (국립환경과학원 물환경연구부)
  • Received : 2019.11.01
  • Accepted : 2019.11.29
  • Published : 2019.11.30
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Abstract

The purpose of this study was improve accuracy the IOPs inversion model(IOPs-IM) developed in 2016 for phycocyanin(PC) concentration estimation in the Nakdong River. Additionally, two optimum models were developed and evaluated with 2017 measurement field spectral data for the Geum River and the Yeongsan River. The used measurement data for IOPs-IM analyzation was randomly classified as training and verification materials at the ratio of 2:1 in all data sets. Using the training data set from 2015-2017, accuracy results of the IOPs-IM generally improved for the Nakdong River. The RMSE(Root Mean Square Error) decreased by 14 % compared to 2016. For the GeumRiver, the results of the IOPs-IM were suitable, except for some point results in 2016. Results of the IOPs-IM in the Yeongsan River followed the overall 1:1 line and MAE(Mean Absolute Error) was lower than other rivers. But the RMSE and MAE values were higher. As a result of applying the validation data to the IOPs-IM, the accuracy of the Nakdong River was reduced to RMSE 17.7 % and MRE 16.4 %, respectively compared with 2016. However, the MRE(Mean Relative Error) was estimated to be higher by 400 % in the Geum River, and the RMSE was more than 100 mg/㎥ of the Yeongsan River. Therefore, it is necessary to get the continuously data with various sections of each river for obtain objective and reliable results and the models should be improved.

Keywords

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