scholarly journals Analysis of raw water quality from Vaalkop dam, South Africa

2018 ◽  
Vol 13 (4) ◽  
pp. 803-811
Author(s):  
S. Nyende-Byakika
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Time Series ◽  
Time Series Analysis ◽  
Raw Water ◽  
Dam Reservoir ◽  
Threshold Levels ◽  
Series Analysis ◽  
Raw Water Quality

Abstract This paper discusses raw water quality results for the raw water from Vaalkop dam reservoir in South Africa. A time series analysis was conducted for various parameters over a prolonged period of time. The analysis indicates that apart from conductivity and coliform counts, most parameters were below their recommended threshold levels for the greatest part of the study period.

Potability analysis of raw water from Bospoort dam, South Africa

2016 ◽  
Vol 11 (3) ◽  
pp. 634-643
Author(s):  
S. Nyende-Byakika ◽  
J. M. Ndambuki ◽  
M. S. Onyango ◽  
L. Morake
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Time Series ◽  
Time Series Analysis ◽  
Raw Water ◽  
Threshold Levels ◽  
Series Analysis ◽  
Raw Water Quality

This paper discusses raw water quality results for the raw water from Bospoort dam in South Africa. A time series analysis was conducted for various parameters over a prolonged period of time. It was revealed that apart from conductivity, hardness, and high coliform counts, most parameters were below their recommended threshold levels for the greatest part of the study period.

Analysis of Surface Water Quality in Tehran

2002 ◽  
Vol 37 (2) ◽  
pp. 489-511 ◽  
Author(s):  
Golamreza Asadollah-Fardi
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Surface Water ◽  
Time Series Analysis ◽  
Surface Water Quality ◽  
Exponential Smoothing ◽  
Future Design ◽  
Series Analysis

Abstract Box-Jenkins and exponential smoothing time series analysis of the monthly water quality in surface water in Tehran was conducted as a case study. Various univariate models were developed for each determinand. Most of the models were seasonal, indicating that the water quality determinands vary throughout the year. The models follow the same pattern of variations present in the data. This study shows the credibility of the models, therefore the models may be used for future design purposes.

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