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Forecasting Domestic Water Demand Using Meteorological and Satellite Data: Case Study of Greater Beirut Area

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Satellite Monitoring of Water Resources in the Middle East

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Abstract

Greater Beirut Area (GBA) is expected to suffer from various socio-economic burdens caused by climate change impacts, including those related to rising temperatures, reduced water availability, increased heat waves and heat island effect, and others. This study addresses future changes in water demand in GBA through utilizing water demand patterns, meteorological data, and remote sensing data. Initially, the relationships between satellite remotely sensed data on Land Surface Temperature (LST) and other weather parameters were tested for correlation. Water demand models showed that LST and air temperature had a high positive correlation with temperature, positive correlation with solar radiation and wind speed, and high negative correlation with precipitation. Single variable linear regression models were developed to predict changes in domestic water demand using atmospheric pressure and temperatures (average, minimum, and maximum) (R2 > 0.5), and a multivariable linear regression model was obtained for the city of Beirut. In addition, temperature-based models were used to forecast future water demand under four climate Representative Concentration Pathways (RCPs 2.6, 4.5, 6.0, and 8.5). The results showed an anticipated increase, during the dry period, of 45–90 thousand cubic meter per month on the short term (2020–2039) and 90–270 thousand cubic meter per month on the long term (2080–2099). Recommendations for the way forward were provided.

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Acknowledgements

We would like to thank Eng. Mary Saade, Eng. Antoine Zoghbi and Eng. Habib El Asmar from Beirut and Mount Lebanon Water Establishment (EBML) for helping in the provision of the water supply data. We would also like to thank Dr. Ziad Rached from the faculty of applied sciences at NDU for his insight on time series analysis.

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Correspondence to S. Ghanimeh .

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Saade, J., Ghanimeh, S., Atieh, M., Ibrahim, E. (2022). Forecasting Domestic Water Demand Using Meteorological and Satellite Data: Case Study of Greater Beirut Area. In: Shaban, A. (eds) Satellite Monitoring of Water Resources in the Middle East. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-031-15549-9_10

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