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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Taylor & Francis
2016
|
| Subjects: |