dc.contributor.author |
Hohls, D
|
en_US |
dc.contributor.author |
Du Plessis, G
|
en_US |
dc.contributor.author |
Venter, SN
|
en_US |
dc.contributor.author |
Steynberg, MC
|
en_US |
dc.contributor.author |
De Wet, CME
|
en_US |
dc.contributor.author |
Rodda, N
|
en_US |
dc.contributor.author |
Kfir, R
|
en_US |
dc.date.accessioned |
2007-03-28T08:55:43Z |
en_US |
dc.date.accessioned |
2007-06-07T10:02:55Z |
|
dc.date.available |
2007-03-28T08:55:43Z |
en_US |
dc.date.available |
2007-06-07T10:02:55Z |
|
dc.date.issued |
1995 |
en_US |
dc.identifier.citation |
Hohls, D, et al. 1995. Estimation of the fate of microbial water-quality contaminants in a South-African river. Water Science and Technology, vol. 31, 06 May, pp 271-274 |
en_US |
dc.identifier.issn |
0273-1223 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/2159
|
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/2159
|
|
dc.description.abstract |
The aim of this study was to evaluate the validity of assumptions, regarding assimilative capacity for microbial contaminants, implicit in microbial water quality management in South Africa. A one dimensional steady state stream water quality model, assuming first order decay of microbial water quality variables, was employed in an attempt to describe and predict microbial water quality in the chosen catchment Based on the faecal coliform counts the results indicated that the processes of decay and dilution were inadequate to yield water quality which complied with South African and international guidelines for the domestic and recreational use of water. It was also found that a first order decay model can, with fairly limited data allow a manager to investigate different microbial water quality scenarios in a cost-effective manner. |
en_US |
dc.format.extent |
171958 bytes |
en_US |
dc.format.mimetype |
application/pdf |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Pergamon-Elsevier Science Ltd |
en_US |
dc.rights |
Copyright: 1995 Pergamon-Elsevier Science Ltd |
en_US |
dc.subject |
Water quality modelling |
en_US |
dc.subject |
Microbial water quality |
en_US |
dc.subject |
Escherichia coli |
en_US |
dc.subject |
Fecal coliform counts |
en_US |
dc.subject |
Engineering |
en_US |
dc.title |
Estimation of the fate of microbial water-quality contaminants in a South-African river |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Hohls, D., Du Plessis, G., Venter, S., Steynberg, M., De Wet, C., Rodda, N., & Kfir, R. (1995). Estimation of the fate of microbial water-quality contaminants in a South-African river. http://hdl.handle.net/10204/2159 |
en_ZA |
dc.identifier.chicagocitation |
Hohls, D, G Du Plessis, SN Venter, MC Steynberg, CME De Wet, N Rodda, and R Kfir "Estimation of the fate of microbial water-quality contaminants in a South-African river." (1995) http://hdl.handle.net/10204/2159 |
en_ZA |
dc.identifier.vancouvercitation |
Hohls D, Du Plessis G, Venter S, Steynberg M, De Wet C, Rodda N, et al. Estimation of the fate of microbial water-quality contaminants in a South-African river. 1995; http://hdl.handle.net/10204/2159. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Hohls, D
AU - Du Plessis, G
AU - Venter, SN
AU - Steynberg, MC
AU - De Wet, CME
AU - Rodda, N
AU - Kfir, R
AB - The aim of this study was to evaluate the validity of assumptions, regarding assimilative capacity for microbial contaminants, implicit in microbial water quality management in South Africa. A one dimensional steady state stream water quality model, assuming first order decay of microbial water quality variables, was employed in an attempt to describe and predict microbial water quality in the chosen catchment Based on the faecal coliform counts the results indicated that the processes of decay and dilution were inadequate to yield water quality which complied with South African and international guidelines for the domestic and recreational use of water. It was also found that a first order decay model can, with fairly limited data allow a manager to investigate different microbial water quality scenarios in a cost-effective manner.
DA - 1995
DB - ResearchSpace
DP - CSIR
KW - Water quality modelling
KW - Microbial water quality
KW - Escherichia coli
KW - Fecal coliform counts
KW - Engineering
LK - https://researchspace.csir.co.za
PY - 1995
SM - 0273-1223
T1 - Estimation of the fate of microbial water-quality contaminants in a South-African river
TI - Estimation of the fate of microbial water-quality contaminants in a South-African river
UR - http://hdl.handle.net/10204/2159
ER -
|
en_ZA |