One-dimensional steady-state stream water-quality model

A case study indicated that the high number of pathogenic micro-organisms in the Rietspruit, South Africa, can impact water uses. Factors contributing to high microbial numbers are high density population with limited services provided per site, sabotage of the sewage reticulation system, lack of money and management skills to provide the essential services and limited integrated development planning for the catchment. Due to non-steady state conditions in the catchment, the specific use and physical characteristics of the river and the difficulty in determining flow, the usefulness of a steady-state stream water quality model as a management tool is limited. Determining the decay rate of micro-organisms by means of chamber studies, may be a first step to predict microbial water quality. Involving the community in preventing microbial pollution may be a more appropriate tool for microbial water quality management in developing areas.

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Towards benchmarking an in-stream water quality model

Hydrology and Earth System Sciences ◽

10.5194/hess-11-623-2007 ◽

2007 ◽

Vol 11 (1) ◽

pp. 623-633 ◽

Cited By ~ 2

Author(s):

D. B. Boorman

Keyword(s):

Water Quality ◽

Stream Water ◽

A Priori ◽

Oxygen Demand ◽

Water Quality Model ◽

Test Model ◽

Stream Water Quality ◽

Quality Model ◽

Benchmark Model ◽

Model Code

Abstract. A method of model evaluation is presented which utilises a comparison with a benchmark model. The proposed benchmarking concept is one that can be applied to many hydrological models but, in this instance, is implemented in the context of an in-stream water quality model. The benchmark model is defined in such a way that it is easily implemented within the framework of the test model, i.e. the approach relies on two applications of the same model code rather than the application of two separate model codes. This is illustrated using two case studies from the UK, the Rivers Aire and Ouse, with the objective of simulating a water quality classification, general quality assessment (GQA), which is based on dissolved oxygen, biochemical oxygen demand and ammonium. Comparisons between the benchmark and test models are made based on GQA, as well as a step-wise assessment against the components required in its derivation. The benchmarking process yields a great deal of important information about the performance of the test model and raises issues about a priori definition of the assessment criteria.

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Applicability Analysis on the Improved One-Dimension Steady-State River Water Quality Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.405-408.2254 ◽

2013 ◽

Vol 405-408 ◽

pp. 2254-2259 ◽

Cited By ~ 5

Author(s):

Lei Zhu ◽

Jin Xi Song ◽

Li Hua Liang ◽

He Li ◽

An Lei Wei ◽

...

Keyword(s):

Water Quality ◽

Steady State ◽

River Water ◽

Observational Data ◽

Water Quality Model ◽

River Water Quality ◽

Quality Data ◽

Quality Model ◽

One Dimensional ◽

Wei River

Guanzhong Segment of Wei River was studied in this article. Based on water quality observational data (ammonia-nitrogen) and hydrology observational data (flow of the sections) of Guanzhong Segment of Wei River in the rainy, normal and wet season in 2006, improved one-dimensional steady-state river water quality model was calibrated. River water quality was predicted in the normal season which were compared with the observational data in 2005. The results show that the water quality computed by improved one-dimensional steady-state river water quality model is grossly consistent with the observational water quality data and the model may provide the technical supports for the response relationships of water quality and water quantity of Guanzhong Segment of Wei River.

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