Remediate
REMEDIATE ETN was a Marie Skłodowska-Curie Action (MSCA) funded Innovative Training Network. The network was made up of 8 beneficiaries from five EU member states (the UK, Ireland, Germany, Denmark, and Italy) and 18 partner organisations, who provided innovative research and training for more cost effective and sustainable remediation of contaminated land.
Read more Read less
The REMEDIATE ETN strengthened and enhanced existing collaborations between the participating beneficiaries and partner organisations resulting in a cohesive and dynamic network. The output was a new generation of highly mobile, creative and innovative entrepreneurs with the skills sets necessary to address the technical, economic and social challenges facing the contaminated land sector in Europe, both now and in the future.
Zhao, Y., Cocerva, T., Cox, S., Tardif, S., Su, J. Q., Zhu, Y. G. & Brandt, K. K., 2019. Evidence for co-selection of antibiotic resistance genes and mobile genetic elements in metal polluted urban soils.
Sci Total Environ. 656, p. 512-520. https://doi.org/10.1016/j.scitotenv.2018.11.372
Mehta, N., Cocerva, T., Cipullo, S., Padoan, E., Dino, G. A., Ajmone-Marsan, F., Cox, S. F., Coulon, F. & De Luca, D. A., 2019. Linking oral bioaccessibility and solid phase distribution of potentially toxic elements in extractive waste and soil from an abandoned mine site: Case study in Campello Monti, NW Italy. Sci Total Environ. 651, p. 2799-2810. https://doi.org/10.1016/j.scitotenv.2018.10.115
Kirmizakis, P., Doherty, R., Mendonça, C.A., Costeira, R., Allen, C.C.R., Ofterdinger, U.S., Kulakov, L., 2019. Enhancement of gasworks groundwater remediation by coupling a bio-electrochemical and activated carbon system. Environ. Sci. Pollut. Res. 1–11. https://doi.org/10.1007/s11356-019-04297-w
McAnallen, L., Doherty, R., Donohue, S., Kirmizakis, P., Mendonça, C., 2018. Combined use of geophysical and geochemical methods to assess areas of active, degrading and restored blanket bog. Sci. Total Environ. 621, 762–771. https://doi.org/10.1016/j.scitotenv.2017.11.300
Seyedpour, S.M., Kirmizakis, P., Brennan, P., Doherty, R., Ricken, T., 2019. Optimal remediation design and simulation of groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM). Sci. Total Environ. 669, 389–399. https://doi.org/10.1016/J.SCITOTENV.2019.01.409
Seyedpour, S.M., Valizadeh, I., Kirmizakis, P., Doherty, R., Ricken, T., 2021. Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method. Water 13, 383. https://doi.org/10.3390/w13030383
Dublin City University
Cranfield University
Universitaet Duisberg-Essen
Techinische Universitat Dortmund
University of Copenhagen
University of Turin
Supren GMBH
T.E. Laboratories Limited
IWW GMBH
SDG 1: Good health and wellbeing
SDG 11: Sustainable cities and communities
SDG 15: Life on land
Keywords associated with the Research
- Contaminated Land, Remediation, Risk Assessment, Moelling
Contact Details / Social Media
- Dr Rory Doherty
Further relevant info
