ArticleEnvironmental science and pollution research international2021
Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms.
Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Enhancement of groundwater resources quality prediction by machine learning models on the basis of an improved DRASTIC method.Scientific reports · 2024Article
- Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination.Journal of mountain science · 2022Article
- Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak.SN computer science · 2022Review
- New DRASTIC framework for groundwater vulnerability assessment: bivariate and multi-criteria decision-making approach coupled with metaheuristic algorithm.Environmental science and pollution research international · 2022Article
- The most places at risk surrounding the COVID-19 treatment hospitals in an urban environment- case study: Tehran city.Land use policy · 2021Article
- Groundwater vulnerability mapping using the modified DRASTIC model: the metaheuristic algorithm approach.Environmental monitoring and assessment · 2021Article
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Authors and funding
9 authors.
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Abstract
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 model was formulated by optimizing parameter ratings using the Wilcoxon rank-sum test, and the weight scores using the evolutionary algorithms including artificial bee colony (ABC) and genetic algorithm (GA) methods. The validity of the models was verified by analyzing the correlation coefficient between the vulnerability index and nitrate (NO
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