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

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.

Impacts of climate change on groundwater droughts by means of standardized indices and regional climate models

“…The area has been already investigated in previous studies (D 'Oria et al, 2017;D'Oria et al, 2019) and, in agreement, it has been split according to the water divides of four watersheds (Fig. 1): Magra, Serchio, Coastal Basins and Arno Portion (a portion of the Arno River basin).…”

Impact assessment of reservoir operation in the context of climate change adaptation in the Chao Phraya River basin

“…Climate change has the potential to imperil global water resources by altering their availability in every part of the world, which would have a great impact on human society and its normal life (IPCC, 2014a, 2018; Lehner, Döll, Alcamo, Henrichs, & Kaspar, 2006). Climate change may also intensify or change the frequency of extreme hydrological events, such as floods and droughts, which will put additional pressure on future water resources (Chun, Wheater, & Onof, 2013; D'Oria, Ferraresi, & Tanda, 2019; Easterling et al, 2000; Hirabayashi et al, 2013; Mora et al, 2018; Piniewski, Szcześniak, Kundzewicz, Mezghani, & Hov, 2017; Schewe et al, 2014). This highlights the significance of impact studies related to such extreme events for developing suitable adaptation strategies under a warming climate (Gädeke, Hölzel, Koch, Pohle, & Grünewald, 2014).…”

Quantitative Groundwater Modelling under Data Scarcity: The Example of the Wadi El Bey Coastal Aquifer (Tunisia)

“…The same correction estimated for the historical period was then applied for the future. More information and additional details on the downscaling and bias correction methods can be found in the studies of D'Oria et al [33][34][35][36] and Secci et al [37].…”