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Geostatistical modelling of arsenic hazard in groundwater
Bretzler, A., Berg, M., Winkel, L., Amini, M., Rodriguez-Lado, L., Sovann, C., … Johnson, A. (2017). Geostatistical modelling of arsenic hazard in groundwater. In P. Bhattacharya, D. A. Polya, & D. Jovanovic (Eds.), Metals and related substances in drinking water: Vol. 6. Best practice guide on the control of arsenic in drinking water (pp. 153-160). IWA Publishing.
Regional to sub-continental prediction modeling of groundwater arsenic contamination
Berg, M., Winkel, L. H. E., Amini, M., Rodriguez-Lado, L., Hug, S. J., Podgorski, J., … Zheng, Q. (2016). Regional to sub-continental prediction modeling of groundwater arsenic contamination. In P. Bhattacharya, M. Vahter, J. Jarsjö, J. Kumpiene, A. Ahmad, C. Sparrenbom, … R. Naidu (Eds.), Arsenic in the environment. Proceedings. Arsenic research and global sustainability. As 2016 (pp. 21-22). Taylor & Francis.
Geostatistical analysis for the delineation of potential groundwater as contamination
Johnson, C. A., Bretzler, A., Amini, M., Winkel, L. H. E., Berg, M., & Rodriguez-Lado, L. (2014). Geostatistical analysis for the delineation of potential groundwater as contamination. In M. I. Litter, H. B. Nicolli, M. Meichtry, N. Quici, J. Bundschuh, P. Bhattacharya, & R. Naidu (Eds.), One century of the discovery of arsenicosis in Latin America (1914-2014) (pp. 46-48). CRC Press.
Subcontinental to regional prediction modeling of groundwater arsenic contamination in Southeast Asia and China
Berg, M., Winkel, L., Stengel, C., Amini, M., Johnson, A., Rodriguez-Lado, L., … Viet, P. H. (2012). Subcontinental to regional prediction modeling of groundwater arsenic contamination in Southeast Asia and China (pp. 23-27). Presented at the 10th United Nation University & Gwangju Institute of Science and Technology joint programme symposium "Southeast Asian transboundary environmental issues – contaminants and challenges". .
Environmental selenium research: from microscopic processes to global understanding
Winkel, L. H. E., Johnson, C. A., Lenz, M., Grundl, T., Leupin, O. X., Amini, M., & Charlet, L. (2012). Environmental selenium research: from microscopic processes to global understanding. Environmental Science and Technology, 46(2), 571-579. https://doi.org/10.1021/es203434d
Arsenic pollution of groundwater in Vietnam exacerbated by deep aquifer exploitation for more than a century
Winkel, L. H. E., Trang, P. T. K., Lan, V. M., Stengel, C., Amini, M., Ha, N. T., … Berg, M. (2011). Arsenic pollution of groundwater in Vietnam exacerbated by deep aquifer exploitation for more than a century. Proceedings of the National Academy of Sciences of the United States of America PNAS, 108(4), 1246-1251. https://doi.org/10.1073/pnas.1011915108
Delineating areas of groundwater arsenic contamination from surface parameters and geology at depth
Berg, M., Amini, M., Hug, S. J., Johnson, C. A., & Winkel, L. (2010). Delineating areas of groundwater arsenic contamination from surface parameters and geology at depth. In J. S. Jean, J. Bundschuh, & P. Bhattacharya (Eds.), Arsenic in the environment. Proceedings. Arsenic in geosphere and human diseases. As-2010. Proceedings of the 3rd international congress on arsenic in the environment (pp. 79-81).
Statistical modeling of global geogenic arsenic contamination in groundwater
Amini, M., Abbaspour, K. C., Berg, M., Winkel, L., Hug, S. J., Hoehn, E., … Johnson, C. A. (2008). Statistical modeling of global geogenic arsenic contamination in groundwater. Environmental Science and Technology, 42(10), 3669-3675. https://doi.org/10.1021/es702859e
Geogene Verunreinigungen
Johnson, A., Abbaspour, K., Amini, M., Bader, H. P., Berg, M., Hoehn, E., … Zurbrügg, C. (2008). Geogene Verunreinigungen. Eawag News [dtsch. Ausg.], 65, 16-19.
Predicting groundwater arsenic contamination in Southeast Asia from surface parameters
Winkel, L., Berg, M., Amini, M., Hug, S. J., & Johnson, C. A. (2008). Predicting groundwater arsenic contamination in Southeast Asia from surface parameters. Nature Geoscience, 1, 536-542. https://doi.org/10.1038/ngeo254