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Comparison of machine learning algorithms for Chl-a prediction in the middle of Nakdong River (focusing on water quality and quantity factors)

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Academic year: 2021

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Fig. 1. Sampling sites (1) GG and (2) DS in the Nakdong  River. 하여 두 지점의 조류발생 측정시점인 2012년 6월부터 2019년  11월까지로  하였으며  수량자료는  물환경정보시스템에서 제공하는 자료를 이용하였다.2.2 자료수집 및 기계학습수질자료는 수질측정망 보 지점(하천)의 자료는 물환경정보시스템(http://water.nier.go.kr)의 매주 1회 측정되고  있는 Chl-a,  pH,  DO
Fig. 2. Scatter plot between target output and input variables about (A) GG and (B) DS.
Fig. 4. Measured and estimated values ​ ​ of random forest about (A) GG and (B) DS.
Fig. 5. Measured and estimated values ​ ​ of elastic net about (A) GG and (B) DS.
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