Abstract
The numerical source-apportionment model is an efficient and useful method for analyzing water-quality responses to nutrient loading in rivers and lakes. In this study, the Environmental Fluid Dynamic Code (EFDC) and numerical source-apportionment model were applied to Lake Bali in Jiujiang City, China to predict the contributions of various pollution sources to the lake at any time and position. We calibrated and validated the model by comparing its predictions with observed hydrodynamic and water-quality parameters from 2014 to 2015. Application of the calibrated model to simulate water-quality responses to a pollution source showed that the contribution of a pollution source to water quality in the lake has strong spatial heterogeneity. The results provide useful information for the optimization of pollution load reduction in Lake Bali and can be used to determine the most effective implementation of its pollution-control plan. The model built in this study can also be used for pollution source-apportionment in other urban lakes and is superior to other traditional source-apportionment models.
Highlights
Meticulous management and control of watersheds based on water-quality targets has become a primary interest of water environment managers in China
A direct numerical source-apportionment model was constructed, and the parameters of the model were applied to Lake Bali in Jiujiang City
The water quality of the lake was primarily affected by urban sources with concentrated discharge and scattered discharge (SQ01, SQ02, SQ10, and SQ11), and the contributions from these pollution sources changed with time
Summary
The source-apportionment method can be used to establish the input response relationship between pollution sources and water quality and to quantitatively calculate their relationship across different spatiotemporal scales in the basin. The source-apportionment method generally includes both an experimental and a modeling component. The experimental method is based on carbon isotope analysis of a specific pollutant [1,2,3]. The receptor model, which includes the grey box model, a statistical model, and a numerical model, is most commonly used in water environmental management. Chemical mass balance is the most representative source-apportionment method based on the grey box model [4], which considers mass conservation and assumes that there is no reaction between pollutants, that the quantities of pollutants in the water are equal to the linear sum of contributions from various sources, and that the
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