Active Filters

  • (-) Organizational Unit = Water Resources and Drinking Water W+T
  • (-) Keywords ≠ chlorination
  • (-) Eawag Authors = Amini, Manouchehr
Search Results 1 - 17 of 17
  • CSV Spreadsheet
  • Excel Spreadsheet
  • RSS Feed
Select Page
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). London: IWA Publishing.
Assessing the risk of arsenic transport in the upper Dupi Tila aquifer of Dhaka City from the surrounding shallow aquifers
Ferdous, J., Ahmed, K. M., Sultana, S., Amini, M., Berg, M., & Johnston, R. (2013). Assessing the risk of arsenic transport in the upper Dupi Tila aquifer of Dhaka City from the surrounding shallow aquifers. Journal of Groundwater Research, 2(1), 56-64. Retrieved from http://www.aggs.in/Issues/JGWR-201305.pdf
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". Bangkok, Thailand.
Using logistic regression to model arsenic risk in Dhaka city, Bangladesh
Ferdous, J., Ahmed, K. M., Sultana, S., Amini, M., Berg, M., & Johnston, R. (2012). Using logistic regression to model arsenic risk in Dhaka city, Bangladesh. Sandec News, 13, 24.
Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach
Mousavi, S. J., Abbaspour, K. C., Kamali, B., Amini, M., & Yang, H. (2012). Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach. Journal of Hydroinformatics, 14(2), 286-309. https://doi.org/10.2166/hydro.2011.071
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
A comparison of different rule-based statistical models for modeling geogenic groundwater contamination
Amini, M., Abbaspour, K. C., & Johnson, C. A. (2010). A comparison of different rule-based statistical models for modeling geogenic groundwater contamination. Environmental Modelling and Software, 25(12), 1650-1657. https://doi.org/10.1016/j.envsoft.2010.05.014
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). Retrieved from https://www.taylorfrancis.com/books/e/9780203845318/chapters/10.1201%2Fb10548-42
A high-resolution assessment on global nitrogen flows in cropland
Liu, J., You, L., Amini, M., Obersteiner, M., Herrero, M., Zehnder, A. J. B., & Yang, H. (2010). A high-resolution assessment on global nitrogen flows in cropland. Proceedings of the National Academy of Sciences of the United States of America PNAS, 107(17), 8035-8040. https://doi.org/10.1073/pnas.0913658107
Potential arsenic hazard risk in groundwater in China
Rodríguez-Lado, L., Amini, M., Johnson, C. A., Berg, M., Sun, G., Zhang, Q., … Zhang, K. (2010). Potential arsenic hazard risk in groundwater in China. 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. 154-155). Retrieved from https://www.taylorfrancis.com/books/e/9780203845318/chapters/10.1201%2Fb10548-71
Modeling large scale geogenic contamination of groundwater, combination of geochemical expertise and statistical techniques
Amini, M., Johnson, A., Abbaspour, K. C., & Mueller, K. (2009). Modeling large scale geogenic contamination of groundwater, combination of geochemical expertise and statistical techniques. R. S. Anderssen, R. D. Braddock, & L. T. H. Newham (Eds.), (pp. 4100-4106). Presented at the 18th world IMACS / MODSIM congress. Cairns, Australia.
Community perception of water quality in a mining-affected area: a case study for the Certej Catchment in the Apuseni Mountains in Romania
Dogaru, D., Zobrist, J., Balteanu, D., Popescu, C., Sima, M., Amini, M., & Yang, H. (2009). Community perception of water quality in a mining-affected area: a case study for the Certej Catchment in the Apuseni Mountains in Romania. Environmental Management, 43(6), 1131-1145. https://doi.org/10.1007/s00267-008-9245-9
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
Statistical modeling of global geogenic fluoride contamination in groundwaters
Amini, M., Mueller, K., Abbaspour, K. C., Rosenberg, T., Afyuni, M., Møller, K. N., … Johnson, C. A. (2008). Statistical modeling of global geogenic fluoride contamination in groundwaters. Environmental Science and Technology, 42(10), 3662-3668. https://doi.org/10.1021/es071958y
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