Hydrogeochemical and isotopic characterization of the Gioia Tauro coastal Plain (Calabria - southern Italy): A multidisciplinary approach for a focused management of vulnerable strategic systems

Assessing potentially toxic elements (PTEs) content in asbestos and related groundwater: A review of the levels detected

This article provides a review of published literature on the concentration levels of potentially toxic elements (PTEs) in asbestos minerals like chrysotile, actinolite, amosite (asbestiform grunerite), anthophyllite, crocidolite (asbestiform riebeckite) and tremolite and their potential to release PTEs into groundwaters worldwide. A large number of PTEs, such as Fe, Cr, Ni, Mn, Co and Zn, may be hosted by asbestos minerals, and their release in the lung environment can cause different health problems as well as their intake via drinking water. The review highlights that amosite is the phase with the highest PTEs content, followed by crocidolite, actinolite, anthophyllite, tremolite and chrysotile. Chrysotile, tremolite, and anthophyllite contain higher levels of Cr, Ni, and Co, while Fe and Mn are more enriched in amosite and crocidolite. Actinolite contains a high concentration of all considered PTEs. High levels of Cr, Fe, Zn, Mn, and Ni were also detected in groundwater interacting with ophiolite rocks containing asbestos minerals. The three main recognized hydro-geochemical facies (Mg-HCO3, Ca-HCO3 and Ca-OH), characterizing the ophiolite aquifers, show high levels of Cr and Ni, with values sometimes above the World health Organization (WHO) thresholds for drinking waters, which can cause adverse health effects in short and long term. The knowledge emerging from this work is a significant contribution to the already wide frame of understanding asbestos-related diseases and provide a strong scientific basis for further mineralogical and geochemical studies.

Integrated SEAWAT model and GALDIT method for dynamic vulnerability assessment of coastal aquifer to seawater intrusion

Seawater intrusion (SI) has become a global issue exacerbated by intense anthropogenic activities and climate change. It is imperative to seek a synergistic strategy to reconcile environmental and economic benefits in the coastal regions. However, the intricate SI process and data scarcity present formidable challenges in dynamically assessing the coastal groundwater vulnerability. To address the challenge, this study proposed a novel framework that integrates the existing vulnerability assessment method (GALDIT) and variable-density groundwater model (SEAWAT). The future scenarios from 2019 to 2050 were investigated monthly under climate change (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) and human activities (80 % and 50 % of current groundwater abstraction) in Longkou city, China, a typical coastal region subject to extensive SI, compared with the status quo in 2018. Results indicated that by 2050, the high vulnerability area, is in a narrow buffer within 1.2 km from the shoreline and exhibits minor changes while the salt concentration here increased by about 2700 mg/L compared with the current situation. The moderate vulnerability zone expands by about 30 km2, and the low vulnerable area decreases proportionally. The groundwater over-abstraction is identified as a more critical factor compared to the regional precipitation under climate change. When groundwater abstraction is reduced to 80 % of the current scale, the expansion rate of the moderate-vulnerable area slows down significantly, with an expansion area of only 18 km2 by 2050. Further reducing groundwater abstraction to 50 % of the current scale shifts the evolution trend of the medium-vulnerable area from expansion to contraction, with the area shrinking by about 11 km2 by 2050. The integrated vulnerability assessment framework can be applied not only in the similar coastal regions but also provides insights into other natural hazards.

Development and testing of a new flexible, easily and widely applicable chemical water quality index (CWQI)

Water quality indices (WQIs) are numeric parameters that summarize the overall quality status of freshwaters compared to quality standards by aggregating multiple physicochemical data into a single value. Among the available WQIs in the literature, several criticalities were recognized including: (a) mathematical complexity of the computation, (b) lack of inclusivity, (c) arbitrary weight assignment method, and (d) site-specificity of most of the indexes. The proposed index, the Chemical Water Quality Index (CWQI), aims to overcome these flaws and provides a computation based on simple mathematic equations that are easily manageable on spreadsheet software. The computation is divided into two steps: (i) parametrization of the variables and (ii) index determination. The parametrization consists of assigning a score (s) from ∼1 to 10 to each chemical variable based on (i) measured concentrations and (ii) quality targets (e.g., the limits provided by the European legislation for drinking waters). In the second step, a weight (w), directly proportional to the score (s), is assigned to each parameter, allowing to overcome any bias related to subjective assignments from the user. The resulting CWQI ranges from ∼1 (very good quality) to 10 (extremely poor quality). The reliability and accuracy of the CWQI were assessed by (i) applying the computation to 1,810 waters and (ii) comparing our results with another available WQI. The CWQI outputs showed an optimal response with the number of variables exceeding the quality target with high correlation coefficients (r = 0.94; R2 = 0.89). Due to the simplicity of its computation, the absence of arbitrariness in the weightage of selected variables, and the independence of the proposed approach regarding the choice of the chemical parameters, CWQI can be easily and universally applied.