Journal of Food Products Marketing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26
Published: Sept. 24, 2024
Language: Английский
Journal of Food Products Marketing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26
Published: Sept. 24, 2024
Language: Английский
Geoforum, Journal Year: 2025, Volume and Issue: 161, P. 104266 - 104266
Published: March 24, 2025
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 970, P. 179009 - 179009
Published: March 1, 2025
The Iberian Peninsula is a water-scarce region that increasingly reliant on groundwater. Climate change expected to exacerbate this situation due projected irregular precipitation patterns and frequent droughts. Here, we utilised convolutional neural networks (CNNs) assess the direct effect of climate groundwater levels, using monthly meteorological data historical levels from 3829 wells. We considered temperature antecedent cumulative over 3, 6, 12, 18, 24, 36 months account for recharge time lag between level changes. Based CNNs performance, 92 location-specific models were retained further analysis, representing wells spatially distributed throughout peninsula. used influence future considering an ensemble eight combinations general regional under RCP4.5 RCP8.5 scenarios. Under RCP4.5, average annual increase 1.7 °C 5.2 % decrease in will result approximately 15 experiencing >1-m decline reference period [1986-2005] long-term [2080-2100]. RCP8.5, with 3.8 20.2 same periods, 40 are experience water drop >1 m. Notably, 72 wells, main driver, implying evaporation has greater impact levels. Effective management strategies should be implemented limit overexploitation reserves improve resilience
Language: Английский
Citations
0Journal of Food Products Marketing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26
Published: Sept. 24, 2024
Language: Английский
Citations
0