Applying Data Mining to Measured Values of Spring Water Parameters to Determine the Relationship between Them
Abstract
The quality measurements of drinking water sources are crucial, and the values measured should be checked carefully. The water values are measured at specific intervals at drinking water treatment plant in Kocaeli, Turkey, and a treatment process is performed if the values are not at desired levels. In this study, data mining is applied to data obtained from these measurements, and using the results obtained, it is intended to find a correlation among the attributes. With a decision support system to be developed, one can check the values and decide whether the water will be treated or not.
References
- Services of Engineering, Production and Trading of Industrial Substance and Material, Proses, [online] kimyasi.pdf (14.01.2013).
- Vartiainen, T., Liimatainen, A., Kauranen, P., Hiisvirta, L., 1988. Relations between drinking water parameters. Chemosphere 17/1, 189-202. and water quality
- Abdullah, P., Yee, L. F., Ata, S., Abdullah, A., Ishak, B., Abidin, K. N. Z., 2009. The study of interrelationship between raw water quality parameters, chlorine demand and the formation of Chemistry of the Earth Parts A/B/C 34/13-16, 806-811. Physics and
- Barbeau, B., Desjardins, R., Mysore, C., Prevost, M., 2005. Impacts of water quality on chlorine and chlorine dioxide efficacy in natural waters. Water Research 39/10, 2024-2033.
- Hurley, T., Sadiq, R., Mazumder, A., 2012. Adaptation and evaluation of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for use as an effective tool to characterize drinking source water quality. Water Research 46/11, 3544-3552.
- Abu-Sharar T. M., Salameh A. S., 1995. Reductions in hydraulic conductivity and infiltration rate in relation to aggregate stability and irrigation water turbidity. Agricultural Water Management 29/1, 53-62.
- Lu, R. S., Lo, S. L., 2002. Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Research 36, 2265-2274.
- Astel, A., Tsakovski, S., Barbieri, P., Simeonov, V., 2007. Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. Water Research 41, 4566-4578.
- Zhang, R., Zhao, H., Piao, Y., 2011. Applying data mining and hpc for water quality assessment and prediction. In: 3rd International Conference on Advanced Computer Control, Harbin, January 18-20, 2011.
- Lu, J., Huang, T., 2009. Data mining on forecast raw water quality from online monitoring station based on decision-making tree. In: 5th International Joint Conference on INC, IMS and IDC, Seoul, August 25-27, 2009.
- Yang, Y. J., Haught, R. C., Goodrich, J. A., 2009. Real-time contaminant detection and classification in a drinking water pipe using conventional water quality sensors: Techniques and Environmental Management 90/8, 2494-2506.
- Karimipour, F., Delavar, M. R., Kinaie, M., 2005. Water quality management using GIS data mining. Journal of Environmental Informatics 5/2, 61-72.
- Hand, D., Mannila, H., Smyth, P., 2001. Principles of data mining. 1st ed., A Bradford Book The MIT Press, London.
- Berson,, A., Smith, S., Thearling, K., 2000. Building data mining applications for CRM. McGraw-Hill Professional Publishing, New York, USA.
- Chaudhuri, S., 1998. Data Mining and Database Systems : Where is the Intersection?. IEEE Bulletin of the Technical Committee on Data Engineering 21/1, 4 - 8.
- Ozekes, S., Camurcu, A. Y., 2002. Classification and prediction in a data mining application. Journal of Marmara for Pure and Applied Sciences 18, 159-174.
- Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J., 1984. Classification and Regression Trees. Wadsworth, Belmont.
İçme Suyu Parametrelerinin Ölçülen Değerleri Üzerine Veri Madenciliği Uygulayarak Parametreler Arası İlişkiyi Belilemek
Abstract
İçme suyu kaynaklarının kalite ölçümleri çok önemli olup, ölçülen değerler dikkatle kontrol edilmelidir. Kocaeli içme suyu arıtma tesisinde belli aralıklarla su değeri ölçülüp, değerler istenen düzeylerde değil ise arıtma işlemi yapılmaktadır. Bu çalışmada bu ölçümlerden elde edilen veriler üzerinde veri madenciliği çalışması yapılmış olup elde edilen sonuçlar neticesinde nitelikler arasında bir bağıntı bulunmaya çalışılmıştır. Geliştirilecek bir karar destek sistemi ile değerlere bakılıp suyun arıtılması ya da arıtılmaması kararına varılabilecektir.
References
- Services of Engineering, Production and Trading of Industrial Substance and Material, Proses, [online] kimyasi.pdf (14.01.2013).
- Vartiainen, T., Liimatainen, A., Kauranen, P., Hiisvirta, L., 1988. Relations between drinking water parameters. Chemosphere 17/1, 189-202. and water quality
- Abdullah, P., Yee, L. F., Ata, S., Abdullah, A., Ishak, B., Abidin, K. N. Z., 2009. The study of interrelationship between raw water quality parameters, chlorine demand and the formation of Chemistry of the Earth Parts A/B/C 34/13-16, 806-811. Physics and
- Barbeau, B., Desjardins, R., Mysore, C., Prevost, M., 2005. Impacts of water quality on chlorine and chlorine dioxide efficacy in natural waters. Water Research 39/10, 2024-2033.
- Hurley, T., Sadiq, R., Mazumder, A., 2012. Adaptation and evaluation of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for use as an effective tool to characterize drinking source water quality. Water Research 46/11, 3544-3552.
- Abu-Sharar T. M., Salameh A. S., 1995. Reductions in hydraulic conductivity and infiltration rate in relation to aggregate stability and irrigation water turbidity. Agricultural Water Management 29/1, 53-62.
- Lu, R. S., Lo, S. L., 2002. Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Research 36, 2265-2274.
- Astel, A., Tsakovski, S., Barbieri, P., Simeonov, V., 2007. Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. Water Research 41, 4566-4578.
- Zhang, R., Zhao, H., Piao, Y., 2011. Applying data mining and hpc for water quality assessment and prediction. In: 3rd International Conference on Advanced Computer Control, Harbin, January 18-20, 2011.
- Lu, J., Huang, T., 2009. Data mining on forecast raw water quality from online monitoring station based on decision-making tree. In: 5th International Joint Conference on INC, IMS and IDC, Seoul, August 25-27, 2009.
- Yang, Y. J., Haught, R. C., Goodrich, J. A., 2009. Real-time contaminant detection and classification in a drinking water pipe using conventional water quality sensors: Techniques and Environmental Management 90/8, 2494-2506.
- Karimipour, F., Delavar, M. R., Kinaie, M., 2005. Water quality management using GIS data mining. Journal of Environmental Informatics 5/2, 61-72.
- Hand, D., Mannila, H., Smyth, P., 2001. Principles of data mining. 1st ed., A Bradford Book The MIT Press, London.
- Berson,, A., Smith, S., Thearling, K., 2000. Building data mining applications for CRM. McGraw-Hill Professional Publishing, New York, USA.
- Chaudhuri, S., 1998. Data Mining and Database Systems : Where is the Intersection?. IEEE Bulletin of the Technical Committee on Data Engineering 21/1, 4 - 8.
- Ozekes, S., Camurcu, A. Y., 2002. Classification and prediction in a data mining application. Journal of Marmara for Pure and Applied Sciences 18, 159-174.
- Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J., 1984. Classification and Regression Trees. Wadsworth, Belmont.
There are 17 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | December 1, 2013 |
| Submission Date | November 14, 2015 |
| Published in Issue | Year 2013 Volume: 1 Issue: 3 |