Stochastic Particle Tracking Application in Different Urban Areas in Central Europe: The Milano (IT) and Jaworzno (PL) Case Study to Secure the Drinking Water Resources
Loris Colombo,
Grzegorz Gzyl,
Pietro Mazzon,
Paweł Łabaj,
Robert Frączek and
Luca Alberti
Additional contact information
Loris Colombo: Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy
Grzegorz Gzyl: Department of Water Protection, Central Mining Institute, Plac Gwarków 1, 40-166 Katowice, Poland
Pietro Mazzon: Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy
Paweł Łabaj: Department of Water Protection, Central Mining Institute, Plac Gwarków 1, 40-166 Katowice, Poland
Robert Frączek: TAURON Wydobycie Spółka Akcyjna, 32-640 Zator, Poland
Luca Alberti: Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy
Sustainability, 2021, vol. 13, issue 18, 1-18
Abstract:
Urban areas are typically characterized by the presence of industrial sites, which are often sources of groundwater contamination, posing a serious threat for the groundwater. In such cases, a crucial step is to find a link between the contaminant sources and freshwater supply wells at risk. As a part of the AMIIGA Project, two different stochastic approaches were applied to assess drinking water supply wells vulnerability in Functional Urban Areas in the presence of several chlorinated hydrocarbons sources in an alluvial aquifer in Milano and a pesticide mega site in a complex geological setting in Poland. In the first case study, the innovative Pilot Point Null-Space Monte Carlo forward particle tracking was used, applying a forward solution instead of the classical backtracking, while in the second case was chosen the classical Monte Carlo methodology. Both case studies represent useful application examples, allowing an effective prioritization of expensive remediation actions in order to protect freshwater wells.
Keywords: Null-Space Monte Carlo; stochastic modelling; particle tracking; contaminated sites; mega sites; MODFLOW; MODPATH (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/13/18/10291/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/18/10291/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:18:p:10291-:d:635774
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().