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백신철,박진기,박종화,Back, Shin Cheol,Park, Jin Ki,Park, Jong Hwa 한국농공학회 2016 한국농공학회논문집 Vol.58 No.2
Monitoring of cyanobacteria bloom in reservoir systems is important for water managers responsible of water supply system. Cyanobacteria affect the taste and smell of water and pose considerable filtration problems at water use places. Harmful cyanobacteria bloom in reservoir have significant economic impacts. We develop a new method for estimating the cyanobacteria bloom using Landsat TM and ETM+ data. Developed model was calibrated and cross-validated with existing in situ measurements from Daecheong Reservoir's Water Quality Monitoring Program and Algae Alarm System. Measurements data of three stations taken from 2004 to 2012 were matched with radiometrically converted reflectance data from the Landsat TM and ETM+ sensor. Stepwise multiple linear regression was used to select wavelengths in the Landsat TM and ETM+ bands 1, 2 and 4 that were most significant for predicting cyanobacteria cell number and bio-volume. Based on statistical analysis, the linear models were that included visible band ratios slightly outperformed single band models. The final monitoring models captured the extents of cyanobacteria blooms throughout the 2004-2012 study period. The results serve as an added broad area monitoring tool for water resource managers and present new insight into the initiation and propagation of cyanobacteria blooms in Daecheong reservoir.
박진기, 오시영, 백신철, 김봉섭, 신형섭, 박종화 忠北大學校 農業科學硏究所 2013 農業科學硏究 Vol.29 No.1
The monthly mean daily global solar radiation and sunshine duration, have been employed in this study to develop correlation model for Daegwallyeong during 2011. The corresponding monthly value of extraterrestrial solar radiation and possible duration of sunshine are calculated for Daegwallyeong meteorological data. Forecasting performance parameters such as coefficient of determination (R2), mean bias error (MBE) and root mean square error (RMSE) are presented as analyzed for the model. The model with multi-linear regression has the highest R2 value of 0.95 and average MBE and RMSE values of −0.11 MJ/m2day and 1.63 MJ/m2day, respectively. The model exhibited negative MBE which shows that the model resulted in underestimation of the global solar radiation relative to the meteorological measured value. The equation could be employed in the estimation of solar radiation at Daegwallyeong, other locations with similar meteorological characteristics.