Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
Title A SVR Based-Pseudo Modified Einstein Procedure Incorporating H-ADCP Model for Real-Time Total Sediment Discharge Monitoring
Authors 노효섭(Noh, Hyoseob) ; 손근수(Son, Geunsoo) ; 김동수(Kim, Dongsu) ; 박용성(Park, Yong Sung)
DOI https://doi.org/10.12652/Ksce.2023.43.3.0321
Page pp.321-335
ISSN 10156348
Keywords H-ADCP; 부유사 농도 모니터링; 총유사량 산정; 수정 아인슈타인 방법; 서포트 벡터 회귀(SVR) H-ADCP; Suspended sediment load monitoring; Total load estimation; Modified Einstein procedure; Support vector regression (SVR)
Abstract Monitoring sediment loads in natural rivers is the key process in river engineering, but it is costly and dangerous. In practice, suspended loads are directly measured, and total loads, which is a summation of suspended loads and bed loads, are estimated. This study proposes a real-time sediment discharge monitoring system using the horizontal acoustic Doppler current profiler (H-ADCP) and support vector regression (SVR). The proposed system is comprised of the SVR model for suspended sediment concentration (SVR-SSC) and for total loads (SVR-QTL), respectively. SVR-SSC estimates SSC and SVR-QTL mimics the modified Einstein procedure. The grid search with K-fold cross validation (Grid-CV) and the recursive feature elimination (RFE) were employed to determine SVR’s hyperparameters and input variables. The two SVR models showed reasonable cross-validation scores (R2) with 0.885 (SVR-SSC) and 0.860 (SVR-QTL). During the time-series sediment load monitoring period, we successfully detected various sediment transport phenomena in natural streams, such as hysteresis loops and sensitive sediment fluctuations. The newly proposed sediment monitoring system depends only on the gauged features by H-ADCP without additional assumptions in hydraulic variables (e.g., friction slope and suspended sediment size distribution). This method can be applied to any ADCP-installed discharge monitoring station economically and is expected to enhance temporal resolution in sediment monitoring.