Precipitation effects on microbial pollution in a river: lag structures and seasonal effect modification.

ABSTRACT:

Background

The river Göta Älv is a source of freshwater for 0.7 million swedes. The river is subject to contamination from sewer systems discharge and runoff from agricultural lands. Climate models projects an increase in precipitation and heavy rainfall in this region. This study aimed to determine how daily rainfall causes variation in indicators of pathogen loads, to increase knowledge of variations in river water quality and discuss implications for risk management.

Methods

Data covering 7 years of daily monitoring of river water turbidity and concentrations of E. coli, Clostridium and coliforms were obtained, and their short-term variations in relation with precipitation were analyzed with time series regression and non-linear distributed lag models. We studied how prec

SUBMITTER: Tornevi A 

PROVIDER: S-EPMC4038599 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature