Designing of sampling programmes for industrial effluent monitoring

Freeman Ntuli, Pardon K. Kuipa, Edison Muzenda

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Introduction: Monitoring of effluent discharges from industrial establishments discharging directly into municipality sewers is one of the major water pollution control activities conducted by municipalities. For largely industrialised municipalities, the task can be quite expensive and not effective if sampling programmes are not properly designed. In most cases, samples are randomly collected without proper knowledge of the discharge patterns of various industries. As a result, the information obtained does not give a good reflection of the quality of effluent being discharged. Methods: These problems can be resolved by adapting a statistical approach to the design of sampling programmes. This approach is useful in determining the frequency of sampling, the number of samples needed to estimate the average concentration of target pollution indicator parameters and the magnitude of the uncertainty involved. Results: The benefits and applications of this approach are demonstrated by a case study presented in this paper. It was found that the number of samples and cost of sample analysis can be greatly reduced by the use of systematic instead of random sampling. Conclusion: The statistical approach greatly improves the estimate of monthly means of pollution indicator parameters and is an effective approach for pollution control when coupled with the "polluter pays principle".

Original languageEnglish
Pages (from-to)479-484
Number of pages6
JournalEnvironmental Science and Pollution Research
Volume18
Issue number3
DOIs
Publication statusPublished - Jan 1 2011

Fingerprint

Effluents
Sampling
Monitoring
sampling
monitoring
Water Pollution
Pollution
pollution control
Water pollution control
Uncertainty
polluter pays principle
Pollution control
Sewers
effluent
Industry
Costs and Cost Analysis
water pollution
programme
industrial effluent
industry

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Health, Toxicology and Mutagenesis
  • Pollution

Cite this

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Designing of sampling programmes for industrial effluent monitoring. / Ntuli, Freeman; Kuipa, Pardon K.; Muzenda, Edison.

In: Environmental Science and Pollution Research, Vol. 18, No. 3, 01.01.2011, p. 479-484.

Research output: Contribution to journalArticle

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