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Groundwater salinity in the Horn of Africa: spatial prediction modeling and estimated people at risk
Araya, D., Podgorski, J., & Berg, M. (2023). Groundwater salinity in the Horn of Africa: spatial prediction modeling and estimated people at risk. Environment International, 176, 107925 (12 pp.). https://doi.org/10.1016/j.envint.2023.107925
Second-generation global risk map of groundwater arsenic contamination
Podgorski, J., & Berg, M. (2023). Second-generation global risk map of groundwater arsenic contamination. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 3-4). https://doi.org/10.1201/9781003317395-1
Interplay of As (im)mobilisation processes in groundwater: learning from hydrochemical investigations
Stopelli, E., Duyen, V. T., Mai, T. T., Trang, P. T. K., Viet, P. H., Lightfoot, A., … Berg, M. (2023). Interplay of As (im)mobilisation processes in groundwater: learning from hydrochemical investigations. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 21-22). https://doi.org/10.1201/9781003317395-9
Pseudo contour maps from logistic regression modelling: case study of groundwater arsenic distribution in Gujarat state, India
Wu, R., Podgorski, J., Berg, M., & Polya, D. A. (2023). Pseudo contour maps from logistic regression modelling: case study of groundwater arsenic distribution in Gujarat state, India. In A. van der Wal, A. Ahmad, B. Petrusevski, J. Weijma, D. Savic, P. van der Wens, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Proceedings of the 8th international congress and exhibition on arsenic in the environment (As2021) (pp. 95-96). https://doi.org/10.1201/9781003317395-40
Hotspots of geogenic arsenic and manganese contamination in groundwater of the floodplains in lowland Amazonia (South America)
de Meyer, C. M. C., Wahnfried, I., Rodriguez Rodriguez, J. M., Kipfer, R., García Avelino, P. A., Carpio Deza, E. A., & Berg, M. (2023). Hotspots of geogenic arsenic and manganese contamination in groundwater of the floodplains in lowland Amazonia (South America). Science of the Total Environment, 860, 160407 (14 pp.). https://doi.org/10.1016/j.scitotenv.2022.160407
Fluoride contamination of groundwater resources in Ghana: country-wide hazard modeling and estimated population at risk
Araya, D., Podgorski, J., Kumi, M., Mainoo, P. A., & Berg, M. (2022). Fluoride contamination of groundwater resources in Ghana: country-wide hazard modeling and estimated population at risk. Water Research, 212, 118083 (10 pp.). https://doi.org/10.1016/j.watres.2022.118083
How widespread is fluoride contamination of Ghana's groundwater?
Araya, D., Podgorski, J., & Berg, M. (2022). How widespread is fluoride contamination of Ghana's groundwater? Water Science Policy (4 pp.). https://doi.org/10.53014/OGJS9699
Global arsenic dilemma and sustainability
Bundschuh, J., Niazi, N. K., Alam, M. A., Berg, M., Herath, I., Tomaszewska, B., … Ok, Y. S. (2022). Global arsenic dilemma and sustainability. Journal of Hazardous Materials, 436, 129197 (11 pp.). https://doi.org/10.1016/j.jhazmat.2022.129197
Monitoring and prediction of high fluoride concentrations in groundwater in Pakistan
Ling, Y., Podgorski, J., Sadiq, M., Rasheed, H., Eqani, S. A. M. A. S., & Berg, M. (2022). Monitoring and prediction of high fluoride concentrations in groundwater in Pakistan. Science of the Total Environment, 839, 156058 (9 pp.). https://doi.org/10.1016/j.scitotenv.2022.156058
Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh - machine learning spatial prediction modeling and comparison with arsenic
Podgorski, J., Araya, D., & Berg, M. (2022). Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh - machine learning spatial prediction modeling and comparison with arsenic. Science of the Total Environment, 833, 155131 (11 pp.). https://doi.org/10.1016/j.scitotenv.2022.155131
Global analysis and prediction of fluoride in groundwater
Podgorski, J., & Berg, M. (2022). Global analysis and prediction of fluoride in groundwater. Nature Communications, 13(1), 4232 (9 pp.). https://doi.org/10.1038/s41467-022-31940-x
Synthetic surfactants in Swiss sewage sludges: analytical challenges, concentrations and per capita loads
Schinkel, L., Lara-Martín, P. A., Giger, W., Hollender, J., & Berg, M. (2022). Synthetic surfactants in Swiss sewage sludges: analytical challenges, concentrations and per capita loads. Science of the Total Environment, 808, 151361 (12 pp.). https://doi.org/10.1016/j.scitotenv.2021.151361
Spatiotemporal mineral phase evolution and arsenic retention in microfluidic models of zerovalent iron-based water treatment
Wielinski, J., Jimenez-Martinez, J., Göttlicher, J., Steininger, R., Mangold, S., Hug, S. J., … Voegelin, A. (2022). Spatiotemporal mineral phase evolution and arsenic retention in microfluidic models of zerovalent iron-based water treatment. Environmental Science and Technology, 56(19), 13696-13708. https://doi.org/10.1021/acs.est.2c02189
Quecksilber im Schweizer Abwasser. Konzentrationen, Massenflüsse, Speziierung und Rückhalt
Berg, M., Suess, E., Cayo, L., Bouchet, S., Hug, S. J., Kaegi, R., … Buser, A. M. (2021). Quecksilber im Schweizer Abwasser. Konzentrationen, Massenflüsse, Speziierung und Rückhalt. Aqua & Gas, 101(1), 14-20.
Arsenic behavior in groundwater in Hanoi (Vietnam) influenced by a complex biogeochemical network of iron, methane, and sulfur cycling
Glodowska, M., Stopelli, E., Straub, D., Vu Thi, D., Trang, P. T. K., Viet, P. H., … Kleindienst, S. (2021). Arsenic behavior in groundwater in Hanoi (Vietnam) influenced by a complex biogeochemical network of iron, methane, and sulfur cycling. Journal of Hazardous Materials, 407, 124398 (15 pp.). https://doi.org/10.1016/j.jhazmat.2020.124398
Fermentation, methanotrophy and methanogenesis influence sedimentary Fe and As dynamics in As-affected aquifers in Vietnam
Glodowska, M., Schneider, M., Eiche, E., Kontny, A., Neumann, T., Straub, D., … Kappler, A. (2021). Fermentation, methanotrophy and methanogenesis influence sedimentary Fe and As dynamics in As-affected aquifers in Vietnam. Science of the Total Environment, 779, 146501 (15 pp.). https://doi.org/10.1016/j.scitotenv.2021.146501
Quantification of individual Rare Earth Elements from industrial sources in sewage sludge
Kaegi, R., Gogos, A., Voegelin, A., Hug, S. J., Winkel, L. H. E., Buser, A. M., & Berg, M. (2021). Quantification of individual Rare Earth Elements from industrial sources in sewage sludge. Water Research X, 11, 100092 (11 pp.). https://doi.org/10.1016/j.wroa.2021.100092
Iron mineral transformations and their impact on As (im)mobilization at redox interfaces in As-contaminated aquifers
Kontny, A., Schneider, M., Eiche, E., Stopelli, E., Glodowska, M., Rathi, B., … Neumann, T. (2021). Iron mineral transformations and their impact on As (im)mobilization at redox interfaces in As-contaminated aquifers. Geochimica et Cosmochimica Acta, 296, 189-209. https://doi.org/10.1016/j.gca.2020.12.029
Phosphate immobilisation dynamics and interaction with arsenic sorption at redox transition zones in floodplain aquifers: insights from the Red River Delta, Vietnam
Neidhardt, H., Rudischer, S., Eiche, E., Schneider, M., Stopelli, E., Duyen, V. T., … Berg, M. (2021). Phosphate immobilisation dynamics and interaction with arsenic sorption at redox transition zones in floodplain aquifers: insights from the Red River Delta, Vietnam. Journal of Hazardous Materials, 411, 125128 (13 pp.). https://doi.org/10.1016/j.jhazmat.2021.125128
Carbon and methane cycling in arsenic-contaminated aquifers
Stopelli, E., Duyen, V. T., Prommer, H., Glodowska, M., Kappler, A., Schneider, M., … Berg, M. (2021). Carbon and methane cycling in arsenic-contaminated aquifers. Water Research, 200, 117300 (8 pp.). https://doi.org/10.1016/j.watres.2021.117300
 

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