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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.
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
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).
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).
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. .
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