ABSTRACT
River flows have been altered by barriers to assist in navigation, generation of electricity, water storage, among others. All those purposes caused specific flow and water quality regimes. Such regimes can be investigated by relying on modeling and field observations using the concept of river metabolism (RM). The Kanawha River, West Virginia was modelled under one-dimensional and two-dimensional approaches using the HSPF and EFDC computational tools, respectively. Water quality data were collected using three distributed high frequency monitoring stations (Q1, Q2 and Q3) along the river logging dissolved oxygen, water temperature, turbidity and specific conductance with hourly time steps. Then, hydrodynamics and water quality data were used to quantify RM over time and space. Subsequently, Spearman correlations between RM and specific conductance had ρQ1=-0.61 and ρQ2=-0.57; and correlating RM with turbidity had ρQ1=0.81 and ρQ2=0.41. However, ρQ3 had low Spearman correlation with specific conductance and turbidity.
