WATER QUALITY INFORMATION SYSTEM DEVELOPMENT: SAMPLE SIZE OPTIMIZATION | ||||
| Journal of Al-Azhar University Engineering Sector | ||||
| Article 14, Volume 13, Issue 47, April 2018, Page 440-453 PDF (859.72 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/auej.2018.19051 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Anass El-Molla1; M A A. Abdelall1; M Shaban2; Ahmed Habash2 | ||||
| 1Irrigation Design and Hydraulics, Faculty of Engineering, Al-Azhar University | ||||
| 2Drainage Research Institute, National Water Research Centre, Ministry of Water Resources and Irrigation, El-Kanater El-Khairia, PO 13621/5, Cairo, Egypt. | ||||
| Abstract | ||||
| 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. | ||||
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