Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms

• Published in: Environmental science and pollution research international Vol. 28; no. 7; pp. 7854 - 7869
• Main Authors: Jahromi, Maryam Naghdizadegan, Gomeh, Zinat, Busico, Gianluigi, Barzegar, Rahim, Samany, Najmeh Neysani, Aalami, Mohammad Taghi, Tedesco, Dario, Mastrocicco, Micol, Kazakis, Nerantzis
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Algorithms; Anthropogenic factors; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Correlation analysis; Correlation coefficient; Correlation coefficients; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental Monitoring; Environmental Pollutants; Environmental science; Evolutionary algorithms; Gene mapping; Genetic algorithms; Groundwater; Italy; Land use; Nitrates; Nitrates - analysis; Parameter modification; Pollutants; pollution; Pollution sources; Ratings; Research Article; sulfates; Swarm intelligence; Waste Water Technology; Water Management; Water Pollutants, Chemical - analysis; Water Pollution Control; Italy; Groundwater vulnerability; Multi-pollutant; SINTACS; Anthropogenic activities; Campanian Plain; Evolutionary algorithm

In this study, the modified SINTACS method, a rating-based groundwater vulnerability approach, was applied to data from the Campanian Plain, southern Italy, to identify groundwater vulnerable areas accurately. To mitigate the subjectivity of SINTACS rating and weighting schemes, a modified SINTACS m...