Water Quality Modelling of Northern Lakes Case Study (Egyptian Northern Lakes)

The main aim of this work was to construct and validate a mathematical water quality model of the Dianchi lake, so that by altering input total phosphate (TP) loads the projected changes in the lake water TP concentrations could be estimated. Historical information had indicated deteriorating lake water quality with increasing TP concentrations. The model was based on a simple annual mass balance, relying on 3 years (wet, average and dry) data with all TP loads quantified, 7 years of lake water quality, and 36 years of flow data. All lake processes were considered within a single variable, R. Planning TP removal at STWs and within fertilizer plants, coupled with interventions to reduce non-point TP loads from all land run-off by 50%, suggested future lake water TP concentrations could be stabilised at about 0.3 mg TP/l, i.e. the estimated limit for producing algal concentrations that would cause major problems in water treatment plants. The TP load reductions envisaged as realistic would only stabilise the lake water quality by about the year 2008; interventions, unfortunately, could not return the lake to its former pristine condition. The accuracy of the predictions was ± 0.1 mg TP/1, so collection of better data was needed.

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Dynamic integrated water quality modelling: A case study of the Lambro River, northern Italy

Water SA ◽

10.4314/wsa.v33i5.184023 ◽

2019 ◽

Vol 33 (5) ◽

Author(s):

L. Benedetti ◽

J. Meirlaen ◽

F. Sforzi ◽

A. Facchi ◽

C. Gandolfi ◽

...

Keyword(s):

Water Quality ◽

Northern Italy ◽

Water Quality Modelling

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Landuse – water quality modelling: a case study

Water Science & Technology ◽

10.2166/wst.1995.0335 ◽

1995 ◽

Vol 31 (8) ◽

pp. 383-386 ◽

Cited By ~ 3

Author(s):

M. Chandra Sekhar ◽

P. Anand Raj

Keyword(s):

Water Quality ◽

Statistical Analysis ◽

Fluoride Concentration ◽

Regression Equations ◽

Water Quality Modelling ◽

Statistical Procedures ◽

Quality Of Water ◽

Pollution Impacts

There can be no doubt that landuse profoundly affects the quality of water in streams, rivers, lakes and shallow aquifers. However, the task of finding specific cause - effect relationships between different landuses and Water Quality (WQ) is one of the most important ecological challenges of out times. At the present time, few tested procedures are available to study the landuse and Non-Point Source (NPS) pollution impacts on WQ. One methodology which offers considerable promise is the use of statistical analysis of landuse and WQ data from selected regions. Facilitating the systematic application of statistical procedures, in the present investigation, regression equations have been developed between landuse and WQ parameters. The results of the study indicated that landuse can account for up to 45% of the observed variation in mean nitrates, 39% of the observed variation in mean phosphates, 58% of the observed variation in mean fluoride concentration, 46% of the observed variation in mean COD concentrations and 72% of the observed variation in mean potassium concentrations.

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Mathematical modeling – a tool for coastal water quality management

Water Science & Technology ◽

10.2166/wst.1999.0110 ◽

1999 ◽

Vol 40 (2) ◽

pp. 151-157 ◽

Cited By ~ 2

Author(s):

A. U. Mahajan ◽

C. V. Chalapatirao ◽

S. K. Gadkari

Keyword(s):

Water Quality ◽

Quality Management ◽

Coastal Water ◽

Water Quality Management ◽

Water Quality Criteria ◽

Water Quality Modelling ◽

Waste Load Allocation ◽

Coastal Water Quality ◽

Waste Load

This paper suggests an approach to solve the Indian coastal water quality management problem based on waste load allocation studies and application of modelling techniques. The waste load allocation procedure suggested in this paper assists in deriving a quantitative relationship between the waste load discharged and the receiving coastal water concentrations or effects of concern as presented by water quality standards. The approach sequentially addresses the topics of hydrodynamics, mass transport, water quality kinetics and problems of bioaccumulation and toxicity. The water quality modelling section describes the role of water quality modelling in WLA procedure. The paper also discusses the criteria and procedures for formulation of coastal zone management plans. The second part of the paper illustrates the concept with the help of brief case studies wherein simple screening procedures and the water quality modeling techniques have been applied. The first case study describes the application of the WASP model to arrive at the level of treatment required for municipal wastewater being discharged into Mumbai coastal waters so that the designated coastal water quality criteria is not violated and the degree of treatment is optimized. The second case study deals with the study of different options relating to disposal of tailings from an iron ore beneficiation plant keeping in view the impact of these tailings on marine water quality and ecology.

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