Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3963
Title: An Investigation of the Temporal Interaction of Urban Water Consumption in the Framework of Settlement Characteristics
Authors: Yılmaz, Volkan
Alpars, Mehmet
Keywords: Artificial bee colony
Band similarity
Optimization
Particle swarm optimization
Temporal interaction
Water consumption
Publisher: Springer
Abstract: Can a natural or artificial phenomenon remember its past just like a human? and what are the factors affecting this memory mechanism? This study is designed to find answers to these two questions in the field of urban water consumption within the framework of the settlement characteristics. For this purpose, four different districts with different settlement characteristics belonging to the city of Konya, located in the central part of Turkey, were studied. In the study, firstly the monthly urban water consumption, population, per capita income and the different meteorological variables were used to determine the most influential parameters on water consumption with the help of Factor Analysis. Subsequently, the nonlinear water consumption models were produced with Artificial Bee Colony and Particle Swarm Optimization algorithms. In the last part of the study, the temporal interaction mechanisms were examined with the Band Similarity (BS) method, a novel approach using the model information. As a result of the study, it was observed that the phenomenon of water consumption in the studied districts remembers its own history together with the input parameters. In addition, it was concluded that there is a strong relationship structure between the population density in the settlement and the memory mechanism, and that the memory becomes stronger as the population density increases. Strong memory properties were accepted as a positive outcome, and accordingly, it was suggested by the authors that high-density residential areas are a more sustainable solution in terms of urban water management.
Description: Article; Early Access
URI: https://doi.org/10.1007/s11269-023-03447-7
https://hdl.handle.net/20.500.13091/3963
ISSN: 0920-4741
1573-1650
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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