GROUNDWATER RECHARGE

Data aggiornamento scheda
Autori

Giovanni Braca, Robertino Tropeano

Abstract

The indicator evaluates the cumulative monthly and annual height of water (expressed in mm) that infiltrates deep into the ground following rainfall, compared to the surface of the national territory.

In 2025, total annual infiltration was estimated at 184.9 mm, corresponding to 55.8 billion cubic meters. This value was significantly lower than the average for the period 1951–2025, estimated at 215.7 mm (corresponding to 65.2 billion cubic meters), marking a negative anomaly of approximately –14.3%.

Descrizione

Deep infiltration constitutes the amount of precipitation which, crossing the surface layer of the soil, feeds the groundwater ( aquifer recharge  or  groundwater recharge ). A portion of the precipitation water that infiltrates, through underground circulation, returns to the surface as the base runoff of the watercourses while the other portion discharges directly into the sea at depth. The supply of groundwater is regulated by multiple factors such as topographic exposure, vegetation, nature of the soil, lithology, intensity and frequency of rainfall. 

The infiltration assessment is carried out using the ISPRA BIGBANG hydrological balance model on the basis of the potential infiltration coefficient (CIP) associated with the hydrogeological complexes. This assessment is transmitted to the European Environment Agency ( European Environmental Agency ) as part of the WISE-SoE data flow ( Water Information System for Europe-State of Environment ).

Scopo

Provide, as part of the estimate of the available or potential water resource, an evaluation of the quantity of water that infiltrates into the subsoil and which constitutes an important share of the renewable water resource.

Rilevanza
It is of national scope or applicable to environmental issues at the regional level but of national significance.
It is able to describe the trend without necessarily providing an evaluation of it.
It is simple and easy to interpret.
It is sensitive to changes occurring in the environment and/or human activities
It provides a representative overview of environmental conditions, environmental pressures, and societal responses.
It provides a basis for international comparisons
Solidità
Be based on international standards and international consensus about its validity;
Be theoretically well founded in technical and scientific terms
Presents reliability and validity of measurement and data collection methods
Temporal comparability
Spatial comparability
Misurabilità (dati)
Adequately documented and of known quality
Updated at regular intervals in accordance with reliable procedures
Readily available or made available at a reasonable cost/benefit ratio
An “adequate” spatial coverage
An “appropriate” temporal coverage
Principali riferimenti normativi e obiettivi

Current legislation does not set specific environmental objectives.

DPSIR
State
Tipologia indicatore
Descriptive (A)
Riferimenti bibliografici
Limitazioni

The indicator is estimated on the basis of a mathematical model and, as such, can therefore only be compared with indicators obtained with the same model. Furthermore, it is estimated on the basis of rainfall, which in turn is estimated on the basis of a set of rain gauge stations which may not be evenly distributed across the territory and whose number may differ from one year to the next. These circumstances, together with the different hydraulic characterization of the hydrogeological complexes and the soil, suggest particular attention and caution when comparing the indicator in space and time. Furthermore, previously published estimates referring to previous versions of the BIGBANG model may present slight deviations compared to the estimates of the latest available version since some data or schematizations underlying the model may have changed. Correct comparisons between the indicator values ​​must therefore be made using the same version of the BIGBANG model.

Ulteriori azioni

None

Fonte dei dati

ISPRA

Regional hydro-meteorological services and those of the autonomous provinces

Frequenza di rilevazione dei dati
Monthly
Accessibilità dei dati di base

The precipitation and temperature data used are mostly those collected and published by the regional and provincial structures to which according to art. 92 of Legislative Decree no. 112 of 31 March 1998, the functions and tasks of the peripheral offices of the National Hydrographic and Mareographic Service (SIMN, now merged into ISPRA) of the Department for National Technical Services were transferred. The precipitation data are collected directly by the regional structures and the autonomous provinces, while the temperature data used in the development of the indicator are accessible by consulting the websites of the institutions, or via the ISPRA SCIA portal ( https://scia. isprambiente. it ). The precipitation data aggregated at the monthly scale and the infiltration data, both on the regular BIGBANG grid of 1 km resolution, which covers the entire national territory, are available on the ISPRA Groupware portal ( https://groupware. sinanet. isprambiente. it/bigbang-data/library/bigbang100).

Copertura spaziale

National

Copertura temporale

1951–2025

Descrizione della metodologia di elaborazione

The calculation method uses the potential infiltration coefficient (CIP), between 0 and 1, associated with the hydrogeological complexes as implemented in the BIGBANG-Gis BAsed Hydrological Balance model at a national scale on a regular grid, version 10.0, developed and implemented in a GIS environment by ISPRA. In particular, infiltration  THE  is given by the expression: 

THE  = CIP * ( A – E – Δ WS ) Where  TO  is the liquid influx (rain + snowmelt),  AND  is the actual evapotranspiration and Δ WS  it is the volume of water stored in the surface layer of the soil. The calculation of the indicator is carried out starting from the evaluation of the infiltration on a regular grid of 1 km resolution which covers the entire national territory.

Periodicità di aggiornamento
Year
Data quality

The information expressed by the indicator is relevant for the purposes relating to the management of water resources. Furthermore, it comes from data acquired and validated according to homogeneous procedures at national level which allow good temporal and spatial comparability.

Stato
Poor
Trend
Negative
Valutazione/descrizione dello stato

In 2025, the value of the total annual infiltration was significantly lower than the average for the period 1951–2025.  This leads to a lower availability of underground renewable water resources for this year.

Valutazione/descrizione del trend

In the period 1951–2025, a decreasing and statistically significant trend is detected in the total annual value of infiltration (Mann-Kendall test with a significance level of 5%). This negative trend leads, in the future, to a reduction in the availability of renewable underground water resources.

Commenti

In 2025, the total annual infiltration was estimated at 184.9 mm, with a deviation of –14.3% compared to the average for the period 1951–2025 (215.7 mm). Over the course of the year, the monthly trend was highly variable: the maximum negative deviation was recorded in June (–78.6%), while the positive one reached its peak in July (+80.0%). The other months that showed a surplus compared to the norm were January, March, August and September, while the remaining months showed more or less marked deficits (Figure 1).

The negative infiltration anomaly on a national scale can be attributed to the high evapotranspiration, caused by the high temperatures recorded during the year ( in Italy, 2025 was the fourth warmest year since 1961). The share of evapotranspiration has in fact reached 55.8% of precipitation, exceeding the long-term annual average (which amounts to approximately 52%) and consequently reducing the overall availability of resources useful for infiltration.

Data
Allegati
Thumbnail
Titolo

Figure 1: Monthly infiltration height relative to the national territory for 2025 and average for the period 1951‒2025

Fonte

SPRA processing on data from regional hydro-meteorological offices and autonomous provinces and historical data from the suppressed SIMN