Abstract
The paper discusses medium-term water consumption forecasting based on popular methods of time series analysis, indicating their limitation and strict requirements for the statistical properties of the time series, such as being stationary or linear. Therefore, a new approach in this area is proposed, based on the kriging method. This method is a geostatistical estimation method that provides unbiased linear estimates for the analyzed value. The study used the ordinary kriging method to provide input data for the preparation of a contour map. Coordinates have been replaced by water consumption values from earlier periods. The received “model” was tested against 24 months of historical data. For the triple diagram built using water consumption values from the two preceding months, the value of the assessment criterion for MAPE forecasting models was satisfactory (less than 13%).
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References
Altunkaynak, A., Özger, M., Sen, Z.: Triple diagram model of level fluctuations in Lake Van, Turkey. Hydrol. Earth Syst. Sci. Dis. 7(2), 235–244 (2003)
Rinaudo, J.D.: Long-term water demand forecasting. In: Grafton, Q., et al. (eds.) Understanding and Managing Urban Water in Transition, pp. 239–268. Springer, Dordrecht (2015)
Billings, R.B., Jones, C.V.: Forecasting Urban Water Demand. American Water Works Association, Denver (2011)
Donkor, E.A., Mazzuchi, T.A., Soyer, R., Alan Roberson, J.: Urban water demand forecasting: review of methods and models. J. Water Resour. Plan. Manag. 140(2), 146–159 (2012)
Gardiner, V., Herrington, P.: Water Demand Forecasting. CRC Press, Boca Raton (2014)
Ghalehkhondabi, I., Ardjmand, E., Young, W.A., Weckman, G.R.: Water demand forecasting: review of soft computing methods. Environ. Monit. Assess. 189(7), 313 (2017)
House-Peters, L.A., Chang, H.: Urban water demand modeling: review of concepts, methods, and organizing principles. Water Resour. Res. 47(5), 1–15 (2011)
Piasecki, A., Jurasz, J., Marszelewski, W.: Wykorzystanie wielowarstwowych sztucznych sieci neuronowych do średnioterminowego prognozowania poboru wody. Ochrona Środowiska 38(2), 17–22 (2016)
Naworyta, W., Benndorf, J.: Ocena dokładności geostatystycznych metod modelowania złóż pod kątem projektowania eksploatacji na podstawie jednego ze złóż węgla brunatnego. Gospodarka Surowcami Mineralnymi 28(1), 77–101 (2012)
Mucha, J., Kotliński, R., Walisiewska-Błaszczyk, M.: Metodyka szacowania parametrów zasobowych złóż konkrecji polimetalicznych w obszarze Interoceanetal na Pacyfiku. Zeszyty Naukowe, Instytut Gospodarki Surowcami Mineralnymi i Energią PAN 81, 137–145 (2011)
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This work was financed by a Dean’s grant No. 15/11.200.363.
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Piasecki, A., Jurasz, J., Witkowski, W.T. (2019). Application of the Triple Diagram Method in Medium-Term Water Consumption Forecasting. In: Krakowiak-Bal, A., Vaverkova, M. (eds) Infrastructure and Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-16542-0_9
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DOI: https://doi.org/10.1007/978-3-030-16542-0_9
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