Determination of the forecasting-model parameters by statistical analysis for development of algae warning system
The aim of this study is to determinate optimal model parameters for prediction of long-term forward (>1 month) chlorophyll-a (Chl-a) concentration in lakes. To optimize model parameters, water quality data from 93 lakes in South Korea were collected and analyzed. Among the 93 lakes, 30 problemat...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2016
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/17756/ http://dx.doi.org/10.1080/19443994.2016.1190106 |
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