STATISTICAL MODELS FOR CLIMATE CHANGE IN THE BODIES OF WATER OF THE MEDITERRANEAN

STATISTICAL MODELS FOR CLIMATE CHANGE IN THE BODIES OF WATER OF THE MEDITERRANEAN

The Paris Agreement brought with it an important global commitment: Prevent the global temperature from exceeding 1.5ºC. Barcelona has signed multiple internal commitments such as reducing greenhouse gas emissions and becoming a carbon-neutral city. However, the water supply in the city will have ne...

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Veröffentlicht in:Journal of environmental hydrology 2021-02, Vol.29, p.1
Hauptverfasser: Jiménez-Albán, Xavier, Monleón-Getino, Antonio
Format: Artikel
Sprache:eng
Schlagworte:
Climate change
Climate models
Drinking water
Global temperatures
Greenhouse gases
Learning algorithms
Machine learning
Mathematical models
Paris Agreement
Rain
Rainfall
Statistical analysis
Statistical models
Temperature
Water supply
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Zusammenfassung:The Paris Agreement brought with it an important global commitment: Prevent the global temperature from exceeding 1.5ºC. Barcelona has signed multiple internal commitments such as reducing greenhouse gas emissions and becoming a carbon-neutral city. However, the water supply in the city will have negative consequences. This research presents novel statistical models based in machine learning that allow predicting different variables and their interactions in a system that is interrelated: the temperature in the city, the rainfall or the flow level of the Llobregat river that is the source of drinking water for the most of Barcelona.
ISSN:1058-3912
1996-7918