The paper presents a case based reasoning (CBR) tool designed for the identification of crucial information for the modelling of pollutant transport in rivers. The developed CBR tool is using a case base comprising published information. This information regards pollutant transport modelling work carried out for different rivers. The models from the case base are designed for a specific river reach. For an unstudied reach it is possible to find a

This paper concerns the simulation of pollutant transport in a small river, using a dynamic model. The aims of the study are (1) to describe the features of the developed concentration model; (2) to compare two approaches of parameterising the study site; (3) to propose a model for the evaluation of the velocity and dispersion coefficients, and (4) to present the results of the concentration model calibration and validation.

This paper is focused on new possibilities for in-stream pollution control, such as automated systems for real time pollution counteraction based on advection-dispersion models for pollutant transport in rivers. Important related issues are addressed: steps to undertake for in-stream pollution control; the use of process engineering (PE) tools to fulfil these steps; and development of models for pollutant transport to be further used in control.

This paper’s purpose is to build a simplified mathematical model to present the time evolution of studied fuel cell parameters and to facilitate the detection of optimal operation parameters and variables for this fuel cell. We first build a steady state model in order to find steady state variables values to be used in the dynamical model. This paper compares PEM fuel cell behaviour in case of different input flows temperatures and produced current

The oversupply of data, information and knowledge, even after preliminary keywords and topics search, is a well-known problem in R&D activities. One of the approaches aimed at limiting the negative impact of the surplus of information is its automated intelligent pre-processing and reuse. The paper describes a method for identification of the concepts which is based on combination of subject-driven document clustering, shape analysis, trends understanding

The present research has two main objectives (1) to build two models for concentration prediction in a stream subject to a pollutant release and (2) to investigate options for estimating the parameters of the models. The models rely on the fundamental advection-dispersion equation and were developed, calibrated and evaluated using tracer data from experiments conducted in the Murray Burn in Edinburgh, UK. During the evaluation by comparison against

This paper presents (1) general considerations related to the development of two mathematical models for non-conservative transport of nitrate and ammonium under unsteady water flow conditions; (2) their application to predict the transport of pollutant in both customary and accidental pollutant release circumstances; and (2) a discussion related to models use in water quality management. The studied river stretch is part of the River Swale in England,

The present paper is aimed to river water quality modelling. A numerical and an analytical model have been developed in order to predict the transport of pollutants in the Romanian Somes River. A novel approach for the analytical modelling offers the opportunity to use variable parameters along the river length. Space dependent model parameters have been used for both solutions. The modelling results provide information on the time and space evolution

The River Swale in Yorkshire, northern England has been subjected to a wealth of studies concerning water quality. This paper builds on existing data resources and previous 1D river water quality modelling applications at daily resolution (using QUESTOR) to provide a different perspective on understanding pollution, through simulation of the short-term dynamics of nutrient transport along the river. The two main objectives are: (1) building, calibration