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@article{ART002771527},
author={HANJONGSU and sungjin kim and Kimdongmin and Lee Sa woo and Sangchul Hwang and Jiwon Kim and Chung, Se-woong},
title={Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2021},
volume={30},
number={5},
pages={271-296}

TY - JOUR
AU - HANJONGSU
AU - sungjin kim
AU - Kimdongmin
AU - Lee Sa woo
AU - Sangchul Hwang
AU - Jiwon Kim
AU - Chung, Se-woong
TI - Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change
JO - Journal of Environmental Impact Assessment
PY - 2021
VL - 30
IS - 5
PB - Korean Society Of Environmental Impact Assessment
SP - 271
EP - 296
SN - 1225-7184
AB - Since the thermal stratification in a reservoir inhibits the vertical mixing of the upper and lower layers and causes the formation of a hypoxia layer and the enhancement of nutrients release from the sediment, changes in the stratification structure of the reservoir according to future climate change are very important in terms of water quality and aquatic ecology management. This study was aimed to develop a data-driven inflow water temperature prediction model for Daecheong Reservoir (DR), and to predict future inflow water temperature and the stratification structure of DR considering future climate scenarios of Representative Concentration Pathways (RCP). The random forest (RF)regression model (NSE 0.97, RMSE 1.86°C, MAPE 9.45%) developed to predict the inflow temperature of DR adequately reproduced the statistics and variability of the observed water temperature. Future meteorological data for each RCP scenario predicted by the regional climate model (HadGEM3-RA) was input into RF model to predict the inflow water temperature, and a three-dimensional hydrodynamic model (AEM3D) was used to predict the change in the future (2018~2037, 2038~2057, 2058~2077, 2078~2097) stratification structure of DR due to climate change. As a result, the rates of increase in air temperature and inflow water temperature was 0.14~0.48°C/10year and 0.21~0.41°C/10year,respectively. As a result of seasonal analysis, in all scenarios except spring and winter in the RCP 2.6, the increase in inflow water temperature was statistically significant, and the increase rate was higher as the carbon reduction effort was weaker. The increase rate of the surface water temperature of the reservoir was in the range of 0.04~0.38°C/10year, and the stratification period was gradually increased in all scenarios. In particular, when the RCP 8.5 scenario is applied, the number of stratification days is expected to increase by about 24 days. These results were consistent with the results of previous studies that climate change strengthens the stratification intensity of lakes and reservoirs and prolonged the stratification period, and suggested that prolonged water temperature stratification could cause changes in the aquatic ecosystem, such as spatial expansion of the low-oxygen layer, an increase in sediment nutrient release, and changed in the dominant species of algae in the water body.
KW - Climate change;River water temperature prediction;Reservoir stratification;AEM3D;Random Forest
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ER -

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim and Chung, Se-woong. (2021). Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change. Journal of Environmental Impact Assessment, 30(5), 271-296.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim and Chung, Se-woong. 2021, "Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change", Journal of Environmental Impact Assessment, vol.30, no.5 pp.271-296.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim, Chung, Se-woong "Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change" Journal of Environmental Impact Assessment 30.5 pp.271-296 (2021) : 271.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim, Chung, Se-woong. Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change. 2021; 30(5), 271-296.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim and Chung, Se-woong. "Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change" Journal of Environmental Impact Assessment 30, no.5 (2021) : 271-296.

HANJONGSU; sungjin kim; Kimdongmin; Lee Sa woo; Sangchul Hwang; Jiwon Kim; Chung, Se-woong. Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change. Journal of Environmental Impact Assessment, 30(5), 271-296.

HANJONGSU; sungjin kim; Kimdongmin; Lee Sa woo; Sangchul Hwang; Jiwon Kim; Chung, Se-woong. Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change. Journal of Environmental Impact Assessment. 2021; 30(5) 271-296.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim, Chung, Se-woong. Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change. 2021; 30(5), 271-296.

HANJONGSU, sungjin kim, Kimdongmin, Lee Sa woo, Sangchul Hwang, Jiwon Kim and Chung, Se-woong. "Development of High-frequency Data-based Inflow Water TemperaturePrediction Model and Prediction of Changesin Stratification Strength of Daecheong Reservoir Due to Climate Change" Journal of Environmental Impact Assessment 30, no.5 (2021) : 271-296.