[1] Watershed-scale water quality models involve substantial uncertainty in model output because of sparse water quality observations and other sources of uncertainty. Assessing the uncertainty is very important for those who use the models to support management decision making. Systematic uncertainty analysis for these models has rarely been done and remains a major challenge. This study aimed...

The Artificial Neural Network (ANN) is a powerful data-driven model that can capture and represent both linear and non-linear relationships between input and output data. Hence, ANNs have been widely used for the prediction and forecasting of water quality variables, to treat the uncertainty of contaminant source, and nonlinearity of water quality data. However, the initial weight parameter pro...

In this paper, the one-dimension river quality system dynamics model was applied to the water quality simulation, and the conceptual GIS-SD frame was constructed. Based on the component GIS and system dynamics model, the experimental system of water quality simulation in water pollution accident was developed. The Songhua River water pollution accident which happened on November, 2005 was used ...

A Bayesian approach was applied to river water quality modeling (WQM) for load and parameter estimation. A distributed-source model (DSM) was used as the basic model to support load reduction and effective water quality management in the Hun-Taizi River system, northeastern China. Water quality was surveyed at 18 sites weekly from 1995 to 2004; biological oxygen demand (BOD) and ammonia (NH(4)(...

In order to assess water efficiency options on the European scale, a multi-criteria integrative hydro-economic modeling framework has been developed. With this framework, it is possible to assess combinations of measures which could help reducing the gap between water demand and water availability, while taking into account ecological, water quality, flood risk and economic aspects. The assesse...

Estimation of stormwater pollutants is a pre-requisite for the protection and improvement of the aquatic environment and for appropriate management options. The usual practice for the stormwater quality prediction is performed through water quality modeling. However, the accuracy of the prediction by the models depends on the proper estimation of model parameters. This paper presents the estima...

Water quality models can be effective tools to simulate and predict pollutant transport in coastal water environment, which can contribute to saving the cost of labours and materials for a large number of industrial development in the coastal region. Therefore, water quality models become an important tool to identify water pollution and the final fate and behaviours of pollutants in coastal en...