Models for forecasting water demand using time series analysis: a case study in Southern Brazil
| Autor: | Danielle C. M. Ristow, Andreza Kalbusch, Cesar E. Petersen, Elisa Henning |
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| Rok vydání: | 2021 |
| Předmět: |
0207 environmental engineering
Public Health Environmental and Occupational Health 02 engineering and technology 010501 environmental sciences Development exponential smoothing Environmental technology. Sanitary engineering 01 natural sciences Pollution Water demand forecasting water demand Econometrics Environmental science arima time series Time series 020701 environmental engineering Waste Management and Disposal TD1-1066 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Journal of Water, Sanitation and Hygiene for Development, Vol 11, Iss 2, Pp 231-240 (2021) |
| ISSN: | 2408-9362 2043-9083 |
| DOI: | 10.2166/washdev.2021.208 |
| Popis: | Technology has been increasingly applied in search for excellence in water resource management. Tools such as demand-forecasting models provide information for utility companies to make operational, tactical and strategic decisions. Also, the performance of water distribution systems can be improved by anticipating consumption values. This work aimed to develop models to conduct monthly urban water demand forecasts by analyzing time series, and adjusting and testing forecast models by consumption category, which can be applied to any location. Open language R was used, with automatic procedures for selection, adjustment, model quality assessment and forecasts. The case study was conducted in the city of Joinville, with water consumption forecasts for the first semester of 2018. The results showed that the seasonal ARIMA method proved to be more adequate to predict water consumption in four out of five categories, with mean absolute percentage errors varying from 1.19 to 15.74%. In addition, a web application to conduct water consumption forecasts was developed. HIGHLIGHTS Monthly urban water demand forecasts are conducted by analyzing time series.; A case study in Southern Brazil is presented.; A web application to conduct water consumption forecasts is proposed, which can be used in other regions and countries. |
| Databáze: | OpenAIRE |
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