Water quality information system development : sample size optimization
Joint Authors
al-Mulla, Anas
Shaban, M.
Abd Allah, M. A.
Habash, Ahmad
Source
Journal of al Azhar University : Engineering Sector
Issue
Vol. 13, Issue 47 (30 Apr. 2018), pp.440-453, 14 p.
Publisher
al-Azhar University Faculty of Engineering
Publication Date
2018-04-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Earth Sciences, Water and Environment
Abstract EN
Sampling frequency is a very important consideration to control the efficiency of a water quality monitoring network.
A large portion of the costs of operating a monitoring network is related directly to the frequency of sampling applied to the water quality channels in the Nile delta.
The sampling frequency was carried out for the monitoring locations in Bahr Shebeen canal in Middle Nile Delta and Ismaillia canal in Eastern Nile Delta.
The statistical method of “Single Station, Single Variable” was used to assess and redesign of sampling frequency is based on the confidence interval around the mean value.
The approach helps identifying the sampling frequency that allows estimating the annual mean value with an acceptable accuracy.
Results indicate that the proposed approach represents a useful decision support tool for the optimized selection of water quality variables.
The results showed that 12 samples per year at the monitoring site of Bahr Shebeen canal may allow the estimation of the BOD and COD mean values with 27% and 25% error, respectively.
On the other hand, at the monitoring sites of Ismaillia canal may allow the estimation of the BOD and COD mean values with 45% and 50% error, respectively.
American Psychological Association (APA)
al-Mulla, Anas& Abd Allah, M. A.& Shaban, M.& Habash, Ahmad. 2018. Water quality information system development : sample size optimization. Journal of al Azhar University : Engineering Sector،Vol. 13, no. 47, pp.440-453.
https://search.emarefa.net/detail/BIM-924923
Modern Language Association (MLA)
al-Mulla, Anas…[et al.]. Water quality information system development : sample size optimization. Journal of al Azhar University : Engineering Sector Vol. 13, no. 47 (Apr. 2018), pp.440-453.
https://search.emarefa.net/detail/BIM-924923
American Medical Association (AMA)
al-Mulla, Anas& Abd Allah, M. A.& Shaban, M.& Habash, Ahmad. Water quality information system development : sample size optimization. Journal of al Azhar University : Engineering Sector. 2018. Vol. 13, no. 47, pp.440-453.
https://search.emarefa.net/detail/BIM-924923
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-924923