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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.
Groundwater arsenic contamination throughout China
Rodríguez-Lado, L., Sun, G., Berg, M., Zhang, Q., Xue, H., Zheng, Q., & Johnson, C. A. (2013). Groundwater arsenic contamination throughout China. Science, 341(6148), 866-868. https://doi.org/10.1126/science.1237484
Coupling predicted model of arsenic in groundwater with endemic arsenism occurrence in Shanxi Province, Northern China
Zhang, Q., Rodriguez-Lado, L., Liu, J., Johnson, C. A., Zheng, Q., & Sun, G. (2013). Coupling predicted model of arsenic in groundwater with endemic arsenism occurrence in Shanxi Province, Northern China. Journal of Hazardous Materials, 262, 1147-1153. https://doi.org/10.1016/j.jhazmat.2013.02.017
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". .
Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China
Zhang, Q., Rodríguez-Lado, L., Johnson, C. A., Xue, H., Shi, J., Zheng, Q., & Sun, G. (2012). Predicting the risk of arsenic contaminated groundwater in Shanxi Province, Northern China. Environmental Pollution, 165, 118-123. https://doi.org/10.1016/j.envpol.2012.02.020
Modeling wind erosion events - bridging the gap between digital soil mapping and digital soil risk assessment
Reuter, H. I., Rodriguez Lado, L., Hengl, T., & Montanarella, L. (2010). Modeling wind erosion events - bridging the gap between digital soil mapping and digital soil risk assessment. In J. L. Boettinger, D. W. Howell, A. C. Moore, A. E. Hartemink, & S. Kienast-Brown (Eds.), Progress in soil science: Vol. 2. Digital soil mapping. Bridging research, environmental application, and operation (pp. 281-293). https://doi.org/10.1007/978-90-481-8863-5_23
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).
Modelling arsenic hazard in Cambodia: a geostatistical approach using ancillary data
Rodríguez Lado, L., Polya, D., Winkel, L., Berg, M., & Hegan, A. (2008). Modelling arsenic hazard in Cambodia: a geostatistical approach using ancillary data. Applied Geochemistry, 23(11), 3010-3018. https://doi.org/10.1016/j.apgeochem.2008.06.028