This paper investigates the potential impacts of climate change on water resources in northern Tuscany, Italy. A continuous hydrological model for each of the seven river basins within the study area was calibrated using historical data. The models were then driven by downscaled and bias-corrected climate projections of an ensemble of 13 regional climate models (RCMs), under two different scenarios of representative concentration pathway (RCP4.5 and RCP8.5). The impacts were examined at medium term (2031–2040) and long term (2051–2060) in comparison with a reference period (2003–2012); the changes in rainfall, streamflow, and groundwater recharge were investigated. A high degree of uncertainty characterized the results with a significant intermodel variability, the period being equal. For the sake of brevity, only the results for the Serchio River basin were presented in detail. According to the RCM ensemble mean and the RCP4.5, a moderate decrease in rainfall, with reference to 2003–2012, is expected at medium term (−0.6%) and long term (−2.8%). Due to the warming of the study area, the reduction in the streamflow volume is two times the precipitation decrease (−1.1% and −6.8% at medium and long term, respectively). The groundwater recharge is mainly affected by the changes in climate with expected percolation volume variations of −3.3% at 2031–2040 and −8.1% at 2051–2060. The impacts on the Serchio River basin water resources are less significant under the RCP8.5 scenario. The presence of artificial structures, such as dam-reservoir systems, can contribute to mitigate the effects of climate change on water resources through the implementation of appropriate regulation strategies.

Quantifying the impacts of climate change on water resources in northern Tuscany, Italy, using high-resolution regional projections / D'Oria, Marco; Ferraresi, Massimo; Tanda, Maria Giovanna. - In: HYDROLOGICAL PROCESSES. - ISSN 0885-6087. - 33:6(2019), pp. 978-993. [10.1002/hyp.13378]

Quantifying the impacts of climate change on water resources in northern Tuscany, Italy, using high-resolution regional projections

D'Oria, Marco
;
Ferraresi, Massimo;Tanda, Maria Giovanna
2019

Abstract

This paper investigates the potential impacts of climate change on water resources in northern Tuscany, Italy. A continuous hydrological model for each of the seven river basins within the study area was calibrated using historical data. The models were then driven by downscaled and bias-corrected climate projections of an ensemble of 13 regional climate models (RCMs), under two different scenarios of representative concentration pathway (RCP4.5 and RCP8.5). The impacts were examined at medium term (2031–2040) and long term (2051–2060) in comparison with a reference period (2003–2012); the changes in rainfall, streamflow, and groundwater recharge were investigated. A high degree of uncertainty characterized the results with a significant intermodel variability, the period being equal. For the sake of brevity, only the results for the Serchio River basin were presented in detail. According to the RCM ensemble mean and the RCP4.5, a moderate decrease in rainfall, with reference to 2003–2012, is expected at medium term (−0.6%) and long term (−2.8%). Due to the warming of the study area, the reduction in the streamflow volume is two times the precipitation decrease (−1.1% and −6.8% at medium and long term, respectively). The groundwater recharge is mainly affected by the changes in climate with expected percolation volume variations of −3.3% at 2031–2040 and −8.1% at 2051–2060. The impacts on the Serchio River basin water resources are less significant under the RCP8.5 scenario. The presence of artificial structures, such as dam-reservoir systems, can contribute to mitigate the effects of climate change on water resources through the implementation of appropriate regulation strategies.
Quantifying the impacts of climate change on water resources in northern Tuscany, Italy, using high-resolution regional projections / D'Oria, Marco; Ferraresi, Massimo; Tanda, Maria Giovanna. - In: HYDROLOGICAL PROCESSES. - ISSN 0885-6087. - 33:6(2019), pp. 978-993. [10.1002/hyp.13378]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2856679
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