Dehghani, P., Shahmoradi, B., Amini, A., Sabeti, M. (2014). Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran. Journal of Advances in Environmental Health Research, 2(2), -.
Parvin Dehghani; Behzad Shahmoradi; Ata Amini; Mohammad Sedigh Sabeti. "Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran". Journal of Advances in Environmental Health Research, 2, 2, 2014, -.
Dehghani, P., Shahmoradi, B., Amini, A., Sabeti, M. (2014). 'Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran', Journal of Advances in Environmental Health Research, 2(2), pp. -.
Dehghani, P., Shahmoradi, B., Amini, A., Sabeti, M. Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran. Journal of Advances in Environmental Health Research, 2014; 2(2): -.
Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran
1Kurdistan Environmental Health Research Center, Kurdistan University of Medical Sciences Sanandaj, Iran
2Agricultural and Natural Resources Research Center of Kurdistan, Sanandaj, Iran
3Department of Civil Engineering, School of Technology, Islamic Azad University, Sanandaj Branch, Sanandaj, Iran
Abstract
Corrosion in general is a complex interaction between water and metal surfaces and materials in which the water is stored or transported. Water quality monitoring in terms of corrosion and scaling is crucial, and a key element of preventive maintenance, given the economic and health hurts caused by corrosion and scaling in water utilities. The aim of this study is to determine the best model for zoning and interpolation corrosive potential of water distribution networks. For this purpose, 61 points of Sanandaj City distribution network were sampled and using Langelier indices, we investigated corrosivity potential of drinking water. Then, we used geostatistical methods such as ordinary kriging (OK), global polynomial interpolation, local polynomial interpolation, radius-based function, and inverse distance weighted for interpolation, zoning and quality mapping. Variogram analysis of variables was performed to select appropriate models. The results of the calculation of the Langelier index represented scaling potential of drinking water. Suitable model for fitness on exponential variogram was selected based on less (residual sums of squares) and high (R2) value. Moreover, the best method for interpolation was selected using the mean error and root mean square error. Comparison of the results indicated that OK was the most suitable method for drinking water quality zoning.
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