Comparison of different methods estimating annual sediment loads in river cross sections based on irregularly measured data
SU Jing-jun1, LI Xu-yong1, WU Zhen2
1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;
2. Environmental Protection Center, Ministry of Transport, Beijing 100013, China
By comparing the performance of averaging method, Beale ratio method and regression method, a framework focusing on estimating annual sedimentloads based on concentrated sampling during high flow period, was proposed. The main results were:1) the Beale ratio method and flow-weighted concentration method could provide more robust and accurate estimation results regardless of the sampling frequency. The Beale ratio method performed better when samples were sparse rather than when samples were sufficient. 2) The application of regression method was conditional, heavily depending on the significance of flow-sediment correlations. Increasing storm samples in the entire calculation dataset could improve the estimation accuracy. This study could provide a useful option in designing water sampling procedures and estimating pollutant loadings in watersheds characterized by pulsed runoffs.
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SU Jing-jun, LI Xu-yong, WU Zhen. Comparison of different methods estimating annual sediment loads in river cross sections based on irregularly measured data. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(1): 218-228.
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