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