Using observed bacteria concentration and modeled transit time under an analytical framework to estimate overall removal rate of fecal coliform in an estuary

TL;DR

This paper introduces an analytical framework combining observational data and hydrodynamic modeling to estimate fecal coliform removal rates in estuaries, reducing survey effort and improving accuracy.

Contribution

It presents a novel method that converts temporal estimation of removal rates into a spatial problem using observed concentrations and transit times.

Findings

Estimated K = 0.5 d-1 for Nassawadox Creek

Model results agree well with observations

Method reduces survey effort and cost

Abstract

Abundance of fecal coliform (FC) is widely used to indicate the potential presence of pathogens, the No.1 cause of water impairments in the U.S. Despite extensive monitoring efforts, assessing and modeling FC pollution still faces challenges, largely owing to the uncertainties in estimation of overall removal rate (K). This study proposes an alternative method to estimate in situ K by combining observational data, hydrodynamic simulation, and analytical solution. The method requires the observed spatial distribution of FC concentration along an estuarine channel and the numerically-simulated transit time, and converts the K estimation from a temporal problem into a spatial problem, potentially reducing survey duration, effort, and cost. Application of the method gave an estimation of K = 0.5 d-1 on average for the Nassawadox Creek in Chesapeake Bay. The numerical and analytical model results with the estimated K agreed well with the observation, demonstrating the credibility of the method.