TY - JOUR
T1 - An improved method for predicting discharge of homogeneous compound channels based on energy concept
AU - Tang, Xiaonan
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/10
Y1 - 2017/10
N2 - Accurate estimation of flow discharge in a compound river channel is increasingly important in river management and hydro-environment design. In this paper, a new model is developed to improve the prediction of flow based on Energy Concept Method (ECM) and Weighted Divided Channel Method (WDCM) along with the apparent shear stress at the interface between main channel and floodplain. The new model is compared with a wide range of our experimental data and the data available in the literature. The 27 datasets used include homogenous symmetric channels (22 datasets) and asymmetric channels (5 datasets) with various aspect ratios [channel total width (B) at bankfull / main channel bottom (b) =1.5–15.8], and bed slopes (So = 4.3 × 10−4–1.3 × 10−2). It was found that the new model has significantly improved the accuracy of flow prediction compared with the traditional Divided Channel Method (DCM), and has also considerably better results than the ECM and WDCM methods against all the datasets, particularly for relatively low flow depths of floodplain where the flow discharges are most difficult to predict correctly. The new model predicts the total discharge well for both symmetric and asymmetric channels, within an averaged relative error of about 5%.
AB - Accurate estimation of flow discharge in a compound river channel is increasingly important in river management and hydro-environment design. In this paper, a new model is developed to improve the prediction of flow based on Energy Concept Method (ECM) and Weighted Divided Channel Method (WDCM) along with the apparent shear stress at the interface between main channel and floodplain. The new model is compared with a wide range of our experimental data and the data available in the literature. The 27 datasets used include homogenous symmetric channels (22 datasets) and asymmetric channels (5 datasets) with various aspect ratios [channel total width (B) at bankfull / main channel bottom (b) =1.5–15.8], and bed slopes (So = 4.3 × 10−4–1.3 × 10−2). It was found that the new model has significantly improved the accuracy of flow prediction compared with the traditional Divided Channel Method (DCM), and has also considerably better results than the ECM and WDCM methods against all the datasets, particularly for relatively low flow depths of floodplain where the flow discharges are most difficult to predict correctly. The new model predicts the total discharge well for both symmetric and asymmetric channels, within an averaged relative error of about 5%.
KW - Compound channel flow
KW - Energy transition
KW - Overbank flow
KW - Symmetric and asymmetric channel
KW - Zonal discharge
UR - http://www.scopus.com/inward/record.url?scp=85027885798&partnerID=8YFLogxK
U2 - 10.1016/j.flowmeasinst.2017.08.005
DO - 10.1016/j.flowmeasinst.2017.08.005
M3 - Article
AN - SCOPUS:85027885798
SN - 0955-5986
VL - 57
SP - 57
EP - 63
JO - Flow Measurement and Instrumentation
JF - Flow Measurement and Instrumentation
ER -