Publications for Development of the WRTDS-K Method

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River Water‐Quality Concentration and Flux Estimation Can be Improved by Accounting for Serial Correlation Through an Autoregressive Model (Page 1)

River water‐quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model

Zhang Q, Hirsch RM ·
2019

Accurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which has been shown to provide among the most accurate estimates compared to other common methods.

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