FUNDAMENTAL STUDY FOR RIVER WATER QUALITY MONITORING USING FLUORESCENCE EEM-PARAFAC: BOD PREDICTION
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- IKEDA Kazuhiro
- 埼玉県環境科学国際センター 水環境担当
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- KAKIMOTO Takashi
- 埼玉県環境科学国際センター 土壌・地下水・地盤担当
Bibliographic Information
- Other Title
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- 河川水質モニタリングへのEEM-PARAFAC法の適用に関する基礎的検討：BODの推測
- カセン スイシツ モニタリング エ ノ EEM-PARAFACホウ ノ テキヨウ ニ カンスル キソテキ ケントウ : BOD ノ スイソク
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Abstract
In this study, a fundamental study was conducted for developing new river water quality monitoring system using fluorescence EEM-PARAFAC which had advantages in real time detection and pollution source tracking. Data set including 1219 EEMs was acquired by periodical sampling from 38 sites of the rivers in Saitama Prefecture. Eight PARAFAC components were successfully identified from the data set, in which each fluorophore represented three types of humic substances, two types of amino acids, degradation product of phytoplankton, fluorescent brightener (DSBP) and substance rich in sewage effluent. Multiple regression models using fluorescence components were created for high precise prediction of BOD. In this models, significant indices were found to separately detect and quantify the pollutions from sewage effluent and phytoplankton caused by eutrophication.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)
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Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 74 (7), III_265-III_274, 2018
Japan Society of Civil Engineers
