Regression Model of Water Demand for the City of Lodz as a Function of Atmospheric Factors

• Autorzy: Czesław Domański , Robert Kubacki
• Języki publikacji: EN

Abstrakty

EN

One of the Sustainable Development Goals (Goal 6) set by the United Nations is to provide people with access to water and sanitation through sustainable water resources management. Water supply companies carrying out tasks commissioned by local authorities ensure there is an optimal amount of water in the water supply system. The aim of this study is to present the results of the work on a statistical model which determined the influence of individual atmospheric factors on the demand for water in the city of Lodz, Poland, in 2010-2019. In order to build the model, the study used data from the Water Supply and Sewage System Company (Zakład Wodociągów i Kanalizacji Sp. z o.o.) in the city of Lodz complemented with data on weather conditions in the studied period. The analysis showed that the constructed models make it possible to perform a forecast of water demand depending on the expected weather conditions. (original abstract)

Słowa kluczowe

EN

Water; Regression models; Statistical models

PL

Woda; Modele regresji; Modele statystyczne

• Czasopismo: Statistics in Transition
• Rocznik: 2022
• Tom: 23
• Numer: nr 2
• Strony: 153--161

Twórcy

autor

Czesław Domański

• University of Lodz, Poland

autor

Robert Kubacki

• Poland

Bibliografia

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Identyfikatory

DOI

10.2478/stattrans-2022-0021