Modeling stochastic saline groundwater occurrence in coastal aquifers

• Published in: Water research (Oxford) Vol. 235; p. 119885
• Main Authors: Schiavo, Massimiliano, Colombani, Nicolò, Mastrocicco, Micòl
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 15.05.2023
• Subjects: Aquifers; coasts; Environmental Monitoring - methods; Fresh Water; freshwater; Geostatistics; Groundwater; irrigation; Italy; mathematical models; permeability; porosity; probability analysis; saline groundwater; Saline wedge; Salinity; Salinization; saltwater intrusion; Seawater; Trapped seawater; uncertainty; water salinity; Water Wells; Italy; Salinization; Trapped seawater; Saline wedge; Geostatistics; Aquifers
• ISSN: 0043-1354; 1879-2448; 1879-2448
• DOI: 10.1016/j.watres.2023.119885

•A stochastic methodology to assess coastal salinization is proposed.•Salinized areas’ location and extension is appraised along the coastline and inland.•Actual and paleo seawater are identified as salinization sources.•Stochastic results are consistent with empirical formula and numerical model’ ones. The issue of freshwater salinization in coastal areas has grown in importance with the increase of the demand of groundwater supply and the more frequent droughts. However, the spatial patterns of salinity contamination are not easy to be understood, as well as their numerical modeling is subject to various kinds of uncertainty. This paper offers a robust, flexible, and reliable geostatistical methodology to provide a stochastic assessment of salinity distribution in alluvial coastal areas. The methodology is applied to a coastal aquifer in Campania (Italy), where 83 monitoring wells provided depth-averaged salinity data. A Monte Carlo (MC) framework was implemented to simulate depth-averaged groundwater salinity fields. Both MC stochastic fields and the mean across MC simulations enabled to the delineation of which areas are subject to high salinity. Then, a probabilistic approach was developed setting up salinity thresholds for agricultural use to delineate the areas with unsuitable groundwater for irrigation purposes. Furthermore, steady spatial patterns of saline wedge lengths were unveiled through uncertainty estimates of seawater ingression at the Volturno River mouth. The results were compared versus a calibrated numerical model with remarkable model fit (R2=0.96) and versus an analytical solution, obtaining similar wedge lengths. The results pointed out that the high groundwater salinities found inland (more than 2 km from the coastline) could be ascribed to trapped paleo-seawater rather than to actual seawater intrusion. In fact, the inland high salinities were in correspondence of thick peaty layers, which can store trapped saline waters because of their high porosity and low permeability. Furthermore, these results are consistent with the recognition of depositional environments and the position of ancient lagoon alluvial sediments, located in the same areas where are the highest (simulated) salinity fields. This robust probabilistic approach could be applied to similar alluvial coastal areas to understand spatial patterns of present salinization, to disentangle actual from paleo-seawater intrusion, and more in general to delineate zones with unsuitable salinity for irrigation purposes.