Fuzzy system modelling of drinking water consumption prediction

Şen, Zekâi̇; Altunkaynak, Abdüsselam

doi:10.1016/j.eswa.2009.04.028

Cited by 27 publications

(5 citation statements)

References 15 publications

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“…Şen ve Altunkaynak (2009) içme suyu tüketimi tahminini bulanık mantık modeli ile araştırmışlardır. Modelin girdi değişkenleri fiziksel aktivite, vücut ağırlığı ve sıcaklık, çıktı değişkeni ise su tüketim seviyesi olarak seçilmiştir.…”

Section: Kentsel Su Talebi̇ Tahmi̇ni̇ne İli̇şki̇n Ampi̇ri̇k Li̇teratürunclassified

Mani̇sa Kentsel Su Tüketi̇mi̇ni̇n Öntahmi̇ni̇

Karagöz,

Özkubat

2024

Dicle Akademi Dergisi

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Dünyadaki tatlı su kaynakları içme suyu, tarımsal sulama ve enerji için yoğun bir şekilde kullanılmakta, ancak artan kentleşme, değişen iklim koşulları ve yanlış yönetim nedeniyle su kaynakları giderek azalmaktadır. Özellikle küresel iklim değişimleri karşısında geçmiş yıllarda ülkemizde de görüldüğü gibi, kentlerdeki su talebinin karşılanmasında güç durumlarla karşı karşıya kalınmaktadır. Dolayısıyla su talebinin belirlenmesi, dönemsel tahminlerinin yapılması ve bu tahminler sonucunda ayrıntılı planlamaların yapılması, kentlerdeki su hizmeti sunan kuruluşlar ve bu hizmetten yararlanan tüm çevreler için hayati derecede önemli bir konudur. Kentsel su ihtiyacını neredeyse tümüyle sondaj kuyularından sağlayan ve zaman içinde nüfusu hızla artan Manisa’da mevcut su kaynaklarının etkin bir şekilde yönetilmesi ve talebin sorunsuz bir şekilde karşılanması için güvenilir öntahminlere ihtiyaç vardır. Bu çalışmada, çeşitli ekonometrik tekniklerden yararlanarak Manisa’da kentsel su tüketiminin öntahmini yapılmış, alternatif yöntemlerin performansları karşılaştırılmıştır.

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Section: Kentsel Su Talebi̇ Tahmi̇ni̇ne İli̇şki̇n Ampi̇ri̇k Li̇teratürunclassified

Mani̇sa Kentsel Su Tüketi̇mi̇ni̇n Öntahmi̇ni̇

Karagöz,

Özkubat

2024

Dicle Akademi Dergisi

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“…At the same time, it has been determined that in regions where water scarcity is experienced, besides water price and income, social and demographic characteristics of consumers are effective (Domene and Saurí, 2007). In addition, it has been analyzed that body weight and temperature and physical activities have an effect on water consumption rates (Şen and Altunkaynak, 2009). In the study conducted by Arslan and Mendeş in 2004, it was reported that gender did not affect water consumption and that there was no conscious water consumption in the society (Arslan and Mendeş, 2004).…”

Section: Drinking Water Consumption Preferencesmentioning

confidence: 99%

Determining consumption preferences of consumers considering quality attributes of drinking water

2021

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The aim of the study was to determine the main factors affecting the consumption preferences of consumers by considering the quality characteristics of drinking water according to the regions where they reside. For this pur-pose, the data obtained from 400 consumers living in the central districts of Iğdır province were used for Factor Analysis and Two-Step Clustering Analysis. Research results reported that physiological needs of the consumers residing in region I were based on the physiological and physical quality of the water in their drinking water consumption preference, consumers in region II relied on the chemical quality of the tap water, and consumers in region III focused on the cost advantages of tap water depending on the chemical quality of tap water. Therefore, supplying differentiated bottled drinking water in hygienic conditions according to physical and physiological quality standards of drinking water for consumers in region I, ensuring the protection and access of local water resources suitable for chemical quality characteristics to consumers in region II, and maintaining the reliability of local water resources with good chemical quality and low cost of supply and sustainability of their use for consumers in region III can have positive effects on consumption satisfaction.

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“…Because the WDS is generally designed to serve consumers over a long period of time, future water demands are usually predicted or projected considering many factors such as the number and types of future consumers, socioeconomic parameters, and environmental and climatic changes, some of which are far from being precise and are subject to a great deal of uncertainties. Many methods have been developed to predict future water demand, including regression models, artificial neural networks [ Cutore et al , 2008], and fuzzy methods [ Şen and Altunkaynak , 2009]. Particularly, probabilistic predictions have been attempted to explicitly estimate the uncertainty in the predicted demands [ Cutore et al , 2008].…”

Section: Fuzzy Random Variables and Their Application To Future Watermentioning

confidence: 99%

Fuzzy probabilistic design of water distribution networks

Kapelan

2011

Water Resources Research

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The primary aim of this paper is to present a fuzzy probabilistic approach for optimal design and rehabilitation of water distribution systems, combining aleatoric and epistemic uncertainties in a unified framework. The randomness and imprecision in future water consumption are characterized using fuzzy random variables whose realizations are not real but fuzzy numbers, and the nodal head requirements are represented by fuzzy sets, reflecting the imprecision in customers' requirements. The optimal design problem is formulated as a two‐objective optimization problem, with minimization of total design cost and maximization of system performance as objectives. The system performance is measured by the fuzzy random reliability, defined as the probability that the fuzzy head requirements are satisfied across all network nodes. The satisfactory degree is represented by necessity measure or belief measure in the sense of the Dempster‐Shafer theory of evidence. An efficient algorithm is proposed, within a Monte Carlo procedure, to calculate the fuzzy random system reliability and is effectively combined with the nondominated sorting genetic algorithm II (NSGAII) to derive the Pareto optimal design solutions. The newly proposed methodology is demonstrated with two case studies: the New York tunnels network and Hanoi network. The results from both cases indicate that the new methodology can effectively accommodate and handle various aleatoric and epistemic uncertainty sources arising from the design process and can provide optimal design solutions that are not only cost‐effective but also have higher reliability to cope with severe future uncertainties.

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Fuzzy system modelling of drinking water consumption prediction

Cited by 27 publications

References 15 publications

Mani̇sa Kentsel Su Tüketi̇mi̇ni̇n Öntahmi̇ni̇

Mani̇sa Kentsel Su Tüketi̇mi̇ni̇n Öntahmi̇ni̇

Determining consumption preferences of consumers considering quality attributes of drinking water

Fuzzy probabilistic design of water distribution networks

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