This study aims to quantify and map groundwater recharge in a Mediterranean karst aquifer in southern Italy over the period 2000–2018 by integrating analyses based on high-resolution climatological and remote sensing datasets. The approach uses annual precipitation (P) from the CHELSA v2.1 dataset, which provides ~1 km resolution climatological variables derived from downscaled ERA-interim reanalysis and ground observations. Actual evapotranspiration (AET) was obtained from the MODIS MOD16A3GF product (500 m resolution), based on the Penman– Monteith algorithm. GR was estimated through two methods employing groundwater recharge coefficients (GRCs). The first applied the APLIS model, a GIS-based empirical method specifically designed for karst aquifers, which determines a spatially distributed GRC as a function of five environmental variables. The second method used effective precipitation (P–AET) combined with lithology-dependent GRCs from the literature. Both recharge methods yielded slightly different GR estimates in terms of discharge rate at the basin scale, with values of 1.3 m³∙s-1 and 1.0 m³∙s-1 for the first and the second method, respectively. Locally, some spatial differences emerged due to methodological contrasts. Overall, the integrated GIS-based framework proved effective for estimating groundwater recharge in data-limited karst environments and demonstrates strong potential for application in other Mediterranean karst systems.
Assessment of Groundwater Recharge in a Mediterranean Karst System Using Chelsa and MODIS Data / Coda, S., Cusano, D., Lepore, D., Allocca, P., Carotenuto, F., De Vita, P., Di Martire, D., Petrone, P., Allocca, V.. - In: ITALIAN JOURNAL OF ENGINEERING GEOLOGY AND ENVIRONMENT. - ISSN 1825-6635. - 1(2026), pp. 59-69. [10.4408/IJEGE.2026-01.S-06]
Assessment of Groundwater Recharge in a Mediterranean Karst System Using Chelsa and MODIS Data
Cusano D.;Lepore D.;Allocca P.;Carotenuto F.;De Vita P.;Di Martire D.;Petrone P.;Allocca V.
2026
Abstract
This study aims to quantify and map groundwater recharge in a Mediterranean karst aquifer in southern Italy over the period 2000–2018 by integrating analyses based on high-resolution climatological and remote sensing datasets. The approach uses annual precipitation (P) from the CHELSA v2.1 dataset, which provides ~1 km resolution climatological variables derived from downscaled ERA-interim reanalysis and ground observations. Actual evapotranspiration (AET) was obtained from the MODIS MOD16A3GF product (500 m resolution), based on the Penman– Monteith algorithm. GR was estimated through two methods employing groundwater recharge coefficients (GRCs). The first applied the APLIS model, a GIS-based empirical method specifically designed for karst aquifers, which determines a spatially distributed GRC as a function of five environmental variables. The second method used effective precipitation (P–AET) combined with lithology-dependent GRCs from the literature. Both recharge methods yielded slightly different GR estimates in terms of discharge rate at the basin scale, with values of 1.3 m³∙s-1 and 1.0 m³∙s-1 for the first and the second method, respectively. Locally, some spatial differences emerged due to methodological contrasts. Overall, the integrated GIS-based framework proved effective for estimating groundwater recharge in data-limited karst environments and demonstrates strong potential for application in other Mediterranean karst systems.| File | Dimensione | Formato | |
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