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Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey

Year 2022, Volume: 33 Issue: 2, 11847 - 11855, 01.03.2022
https://doi.org/10.18400/tekderg.771613

Abstract

This study aims to compare the municipal water distribution performance and classify the municipal water distribution systems in the provinces of Turkey using the Gray Relational Hierarchical clustering method for both 2006 and 2016. A correlation analysis was used to determine the variables affecting the distributed water. The Hierarchical gray clusters and the changes during the decade are presented with spatial distribution maps using statistically significant variables. Consequently, the findings reveal that the municipalities of Istanbul, Izmir, Bursa, Gaziantep, and Kocaeli managed water distribution effectively, whereas the municipalities of Konya, Şanlıurfa, Diyarbakır, Samsun, Trabzon, and Sakarya managed it poorly.

References

  • Mayer, P. W., DeOreo, W. B., Opitz, E. M., Kiefer, J. C., Davis, W. Y. Dziegielewski, B., & Nelson, J. O., Residential end uses of water, 1999.
  • Corbella, H. M., & i Pujol, D. S. What lies behind domestic water use?: a review essay on the drivers of domestic water consumption. BAGE: Boletín de la Asociación de Geógrafos Españoles, (50), 297-314, 2009.
  • Childers, D. L., Pickett, S. T., Grove, J. M., Ogden, L., & Whitmer, A. Advancing urban sustainability theory and action: Challenges and opportunities. Landscape and urban planning, 125, 320-328, 2014.
  • Firat, M., Yurdusev, M. A., & Turan, M. E. Evaluation of artificial neural network techniques for municipal water consumption modeling. Water resources management, 23(4), 617-632, 2009.
  • Ip, W. C., Hu, B. Q., Wong, H., & Xia, J. Applications of grey relational method to river environment quality evaluation in China. Journal of Hydrology, 379(3-4), 284-290, 2009.
  • Moore, R.E., Methods and applications of interval analysis. SIAM, 1979.
  • Huang, Y. P., & Huang, C. C. The integration and application of fuzzy and grey modeling methods. Fuzzy sets and Systems, 78(1), 107-119, 1996.
  • Julong, D. Introduction to grey system theory. The Journal of grey system, 1(1), 1-24, 1989.
  • Deng, J. L. Grey Prediction and Decision, Huazhong University of Science and Technology, 1986.
  • Deng, J., Introduction to grey system theory. The Journal of Grey System vol, 1989.
  • TUIK. Turkish Statistical Institue. Available from: http://www.turkstat.gov.tr/, 2020.
  • Piccolroaz, S., Calamita, E., Majone, B., Gallice, A., Siviglia, A., & Toffolon, M. Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches. Hydrological Processes, 30(21), 3901-3917, 2016.
  • Zhu, S., Heddam, S., Nyarko, E. K., Hadzima-Nyarko, M., Piccolroaz, S., & Wu, S. Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models. Environmental Science and Pollution Research, 26(1), 402-420, 2019.
  • Villarín, M. C. Methodology based on fine spatial scale and preliminary clustering to improve multivariate linear regression analysis of domestic water consumption. Applied Geography, 103, 22-39, 2019.
  • House‐Peters, L., Pratt, B., & Chang, H. Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in hillsboro, oregon 1. JAWRA Journal of the American Water Resources Association, 46(3), 461-472, 2010.
  • Griffin, R. C., & Mjelde, J. W. Distributing water's bounty. Ecological Economics, 72, 116-128, 2011.
  • Ju-Long, D. Control problems of grey systems. Systems & control letters, 1(5), 288-294, 1982.
  • Tsai, M. T., Hsiao, S. W., & Liang, W. K. Using grey theory to develop a model for forecasting the demand for telecommunications. Journal of Information and Optimization Sciences, 26(3), 535-547, 2005.
  • Deng, J. Wuhan, China, Basic method of grey system. 1987.
  • Wu, W. H., Lin, C. T., Peng, K. H., & Huang, C. C. Applying hierarchical grey relation clustering analysis to geographical information systems–A case study of the hospitals in Taipei City. Expert Systems with Applications, 39(8), 7247-7254, 2012.
  • Hinduja, A., & Pandey, M. (2017). Multicriteria recommender system for life insurance plans based on utility theory. Indian Journal of Science and Technology, 10(14), 1-8.
  • Yildirim, B. F., Hepsen, A., & Onder, E. (2015). Grey Relational Analysis Based Ranking of Latin American and Caribbean Economies. Journal of Economics Finance and Accounting, 2(3).
  • Yıldırım, B. F. (2015). Gri ilişkisel analiz. Çok Kriterli Karar Verme Yöntemleri, 229-236.
  • Islar, M., & Boda, C. Political ecology of inter-basin water transfers in Turkish water governance. Ecology and Society, 19(4), 2014.
  • DSI, The General Directorate of State Hydraulic Works, Ankara, Turkey, 2020.
  • Doganay, M., & Demiraslan, H. (2016). Refugees of the Syrian civil war: impact on reemerging infections, health services, and biosecurity in Turkey. Health security, 14(4), 220-225.
  • Günay, G., Çörekçioğlu, İ., & Övül, G. Geologic and hydrogeologic factors affecting sinkhole (obruk) development in Central Turkey. Carbonates and evaporites, 26(1), 3-9, 2011.

Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey

Year 2022, Volume: 33 Issue: 2, 11847 - 11855, 01.03.2022
https://doi.org/10.18400/tekderg.771613

Abstract

This study aims to compare the municipal water distribution performance and classify the municipal water distribution systems in the provinces of Turkey using the Gray Relational Hierarchical clustering method for both 2006 and 2016. A correlation analysis was used to determine the variables affecting the distributed water. The Hierarchical gray clusters and the changes during the decade are presented with spatial distribution maps using statistically significant variables. Consequently, the findings reveal that the municipalities of Istanbul, Izmir, Bursa, Gaziantep, and Kocaeli managed water distribution effectively, whereas the municipalities of Konya, Şanlıurfa, Diyarbakır, Samsun, Trabzon, and Sakarya managed it poorly.

References

  • Mayer, P. W., DeOreo, W. B., Opitz, E. M., Kiefer, J. C., Davis, W. Y. Dziegielewski, B., & Nelson, J. O., Residential end uses of water, 1999.
  • Corbella, H. M., & i Pujol, D. S. What lies behind domestic water use?: a review essay on the drivers of domestic water consumption. BAGE: Boletín de la Asociación de Geógrafos Españoles, (50), 297-314, 2009.
  • Childers, D. L., Pickett, S. T., Grove, J. M., Ogden, L., & Whitmer, A. Advancing urban sustainability theory and action: Challenges and opportunities. Landscape and urban planning, 125, 320-328, 2014.
  • Firat, M., Yurdusev, M. A., & Turan, M. E. Evaluation of artificial neural network techniques for municipal water consumption modeling. Water resources management, 23(4), 617-632, 2009.
  • Ip, W. C., Hu, B. Q., Wong, H., & Xia, J. Applications of grey relational method to river environment quality evaluation in China. Journal of Hydrology, 379(3-4), 284-290, 2009.
  • Moore, R.E., Methods and applications of interval analysis. SIAM, 1979.
  • Huang, Y. P., & Huang, C. C. The integration and application of fuzzy and grey modeling methods. Fuzzy sets and Systems, 78(1), 107-119, 1996.
  • Julong, D. Introduction to grey system theory. The Journal of grey system, 1(1), 1-24, 1989.
  • Deng, J. L. Grey Prediction and Decision, Huazhong University of Science and Technology, 1986.
  • Deng, J., Introduction to grey system theory. The Journal of Grey System vol, 1989.
  • TUIK. Turkish Statistical Institue. Available from: http://www.turkstat.gov.tr/, 2020.
  • Piccolroaz, S., Calamita, E., Majone, B., Gallice, A., Siviglia, A., & Toffolon, M. Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches. Hydrological Processes, 30(21), 3901-3917, 2016.
  • Zhu, S., Heddam, S., Nyarko, E. K., Hadzima-Nyarko, M., Piccolroaz, S., & Wu, S. Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models. Environmental Science and Pollution Research, 26(1), 402-420, 2019.
  • Villarín, M. C. Methodology based on fine spatial scale and preliminary clustering to improve multivariate linear regression analysis of domestic water consumption. Applied Geography, 103, 22-39, 2019.
  • House‐Peters, L., Pratt, B., & Chang, H. Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in hillsboro, oregon 1. JAWRA Journal of the American Water Resources Association, 46(3), 461-472, 2010.
  • Griffin, R. C., & Mjelde, J. W. Distributing water's bounty. Ecological Economics, 72, 116-128, 2011.
  • Ju-Long, D. Control problems of grey systems. Systems & control letters, 1(5), 288-294, 1982.
  • Tsai, M. T., Hsiao, S. W., & Liang, W. K. Using grey theory to develop a model for forecasting the demand for telecommunications. Journal of Information and Optimization Sciences, 26(3), 535-547, 2005.
  • Deng, J. Wuhan, China, Basic method of grey system. 1987.
  • Wu, W. H., Lin, C. T., Peng, K. H., & Huang, C. C. Applying hierarchical grey relation clustering analysis to geographical information systems–A case study of the hospitals in Taipei City. Expert Systems with Applications, 39(8), 7247-7254, 2012.
  • Hinduja, A., & Pandey, M. (2017). Multicriteria recommender system for life insurance plans based on utility theory. Indian Journal of Science and Technology, 10(14), 1-8.
  • Yildirim, B. F., Hepsen, A., & Onder, E. (2015). Grey Relational Analysis Based Ranking of Latin American and Caribbean Economies. Journal of Economics Finance and Accounting, 2(3).
  • Yıldırım, B. F. (2015). Gri ilişkisel analiz. Çok Kriterli Karar Verme Yöntemleri, 229-236.
  • Islar, M., & Boda, C. Political ecology of inter-basin water transfers in Turkish water governance. Ecology and Society, 19(4), 2014.
  • DSI, The General Directorate of State Hydraulic Works, Ankara, Turkey, 2020.
  • Doganay, M., & Demiraslan, H. (2016). Refugees of the Syrian civil war: impact on reemerging infections, health services, and biosecurity in Turkey. Health security, 14(4), 220-225.
  • Günay, G., Çörekçioğlu, İ., & Övül, G. Geologic and hydrogeologic factors affecting sinkhole (obruk) development in Central Turkey. Carbonates and evaporites, 26(1), 3-9, 2011.
There are 27 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Technical Note
Authors

Mehmet Şamil Güneş 0000-0001-5842-5181

Coşkun Parim 0000-0002-6412-1325

Doğan Yıldız 0000-0001-7430-2368

Ali Hakan Büyüklü 0000-0002-4174-4538

Publication Date March 1, 2022
Submission Date July 19, 2020
Published in Issue Year 2022 Volume: 33 Issue: 2

Cite

APA Güneş, M. Ş., Parim, C., Yıldız, D., Büyüklü, A. H. (2022). Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Teknik Dergi, 33(2), 11847-11855. https://doi.org/10.18400/tekderg.771613
AMA Güneş MŞ, Parim C, Yıldız D, Büyüklü AH. Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Teknik Dergi. March 2022;33(2):11847-11855. doi:10.18400/tekderg.771613
Chicago Güneş, Mehmet Şamil, Coşkun Parim, Doğan Yıldız, and Ali Hakan Büyüklü. “Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey”. Teknik Dergi 33, no. 2 (March 2022): 11847-55. https://doi.org/10.18400/tekderg.771613.
EndNote Güneş MŞ, Parim C, Yıldız D, Büyüklü AH (March 1, 2022) Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Teknik Dergi 33 2 11847–11855.
IEEE M. Ş. Güneş, C. Parim, D. Yıldız, and A. H. Büyüklü, “Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey”, Teknik Dergi, vol. 33, no. 2, pp. 11847–11855, 2022, doi: 10.18400/tekderg.771613.
ISNAD Güneş, Mehmet Şamil et al. “Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey”. Teknik Dergi 33/2 (March 2022), 11847-11855. https://doi.org/10.18400/tekderg.771613.
JAMA Güneş MŞ, Parim C, Yıldız D, Büyüklü AH. Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Teknik Dergi. 2022;33:11847–11855.
MLA Güneş, Mehmet Şamil et al. “Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey”. Teknik Dergi, vol. 33, no. 2, 2022, pp. 11847-55, doi:10.18400/tekderg.771613.
Vancouver Güneş MŞ, Parim C, Yıldız D, Büyüklü AH. Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Teknik Dergi. 2022;33(2):11847-55.