|제 목||3차년도 - 2016년 SCIE급 논문 게재|
제목: Identifying the correlation between water quality data and LOADEST model behavior in annual sediment load estimation
게재일: 2016. 8. 26.
Water quality samples are typically collected less frequently than flow since water qualitysampling is costly. Load Estimator (LOADEST), provided by the United States Geological Survey,is used to predict water quality concentration (or load) on days when flow data are measured so thatthe water quality data are sufficient for annual pollutant load estimation. However, there is a needto identify water quality data requirements for accurate pollutant load estimation. Measured dailysediment data were collected from 211 streams. Estimated annual sediment loads from LOADESTand subsampled data were compared to the measured annual sediment loads (true load). The meansof flow for calibration data were correlated to model behavior. A regression equation was developedto compute the required mean of flow in calibration data to best calibrate the LOADEST regressionmodel coefficients. LOADEST runs were performed to investigate the correlation between the meanflow in calibration data and model behaviors as daily water quality data were subsampled. LOADESTcalibration data used sediment concentration data for flows suggested by the regression equation.Using the mean flow calibrated by the regression equation reduced errors in annual sediment loadestimation from