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Journals / Turkish Journal of Civil Engineering / 2022 / Cilt: 33 - Sayı: 2

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

Mehmet Şamil GÜNEŞ
Coşkun PARİM
Doğan YILDIZ
Ali Hakan BÜYÜKLÜ
Pages
11847–11855
Publication Date
2022-03-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data:The Hierarchical gray clusters and the changes during the decade are presented with spatial distribution maps using statistically significant variables.
💡
Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Climate change · municipal water use · water management

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.

Özet

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.

🔖

Cite This Article

GÜNEŞ, M. Ş., PARİM, C., YILDIZ, D., BÜYÜKLÜ, A. H. (2022). Applying the Hierarchical Gray Relational Clustering Method to Municipal Water Use in Turkey. Turkish Journal of Civil Engineering, Cilt: 33 - Sayı: 2, 11847–11855. https://ajindex.com/articles/864148

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References (13)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Moore, R.E., Methods and applications of interval analysis. SIAM, 1979.
  7. 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.
  8. Julong, D. Introduction to grey system theory. The Journal of grey system, 1(1), 1-24, 1989.
  9. Deng, J. L. Grey Prediction and Decision, Huazhong University of Science and Technology, 1986.
  10. 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.
  11. 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.
  12. 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.
  13. Griffin, R. C., &