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A critical review on the occurrence and distribution of the uranium- and thorium-decay nuclides and their effect on the quality of groundwater
Vengosh, A., Coyte, R. M., Podgorski, J., & Johnson, T. M. (2022). A critical review on the occurrence and distribution of the uranium- and thorium-decay nuclides and their effect on the quality of groundwater. Science of the Total Environment, 808, 151914 (23 pp.). https://doi.org/10.1016/j.scitotenv.2021.151914
Human arsenic exposure risk via crop consumption and global trade from groundwater-irrigated areas
Alam, M. F., Villholth, K. G., & Podgorski, J. (2021). Human arsenic exposure risk via crop consumption and global trade from groundwater-irrigated areas. Environmental Research Letters, 16(12), 124013 (18 pp.). https://doi.org/10.1088/1748-9326/ac34bb
Characterization, geostatistical modeling and health risk assessment of potentially toxic elements in groundwater resources of northeastern Iran
Joodavi, A., Aghlmand, R., Podgorski, J., Dehbandi, R., & Abbasi, A. (2021). Characterization, geostatistical modeling and health risk assessment of potentially toxic elements in groundwater resources of northeastern Iran. Journal of Hydrology: Regional Studies, 37, 100885 (15 pp.). https://doi.org/10.1016/j.ejrh.2021.100885
Geostatistical model of the spatial distribution of arsenic in groundwaters in Gujarat State, India
Wu, R., Podgorski, J., Berg, M., & Polya, D. A. (2021). Geostatistical model of the spatial distribution of arsenic in groundwaters in Gujarat State, India. Environmental Geochemistry and Health, 43, 2649-2664. https://doi.org/10.1007/s10653-020-00655-7
A global-scale dataset of direct natural groundwater recharge rates: a review of variables, processes and relationships
Moeck, C., Grech-Cumbo, N., Podgorski, J., Bretzler, A., Gurdak, J. J., Berg, M., & Schirmer, M. (2020). A global-scale dataset of direct natural groundwater recharge rates: a review of variables, processes and relationships. Science of the Total Environment, 717, 137042 (19 pp.). https://doi.org/10.1016/j.scitotenv.2020.137042
Global threat of arsenic in groundwater
Podgorski, J., & Berg, M. (2020). Global threat of arsenic in groundwater. Science, 368(6493), 845-850. https://doi.org/10.1126/science.aba1510
Groundwater arsenic distribution in India by machine learning geospatial modeling
Podgorski, J., Wu, R., Chakravorty, B., & Polya, D. A. (2020). Groundwater arsenic distribution in India by machine learning geospatial modeling. International Journal of Environmental Research and Public Health, 17(19), 7119 (17 pp.). https://doi.org/10.3390/ijerph17197119
Comparative methods for predicting cyanide pollution in artisanal small-scale gold mining catchment by using logistic regression and kriging with GIS
Razanamahandry, L. C., Digbeu, P. M., Andrianisa, H. A., Karoui, H., Podgorski, J., Manikandan, E., … Yacouba, H. (2020). Comparative methods for predicting cyanide pollution in artisanal small-scale gold mining catchment by using logistic regression and kriging with GIS. African Journal of Science, Technology, Innovation and Development, 12(3), 287-295. https://doi.org/10.1080/20421338.2020.1734325
Groundwater Assessment Platform (GAP): a new GIS tool for risk forecasting and mitigation of geogenic groundwater contamination
Berg, M., & Podgorski, J. E. (2019). Groundwater Assessment Platform (GAP): a new GIS tool for risk forecasting and mitigation of geogenic groundwater contamination. In Y. G. Zhu, H. Guo, P. Bhattacharya, J. Bundschuh, A. Ahmad, & R. Naidu (Eds.), Arsenic in the environment - proceedings. Environmental arsenic in a changing world (pp. 5-6). https://doi.org/10.1201/9781351046633-2
Effect of arsenic risk assessment in Pakistan on mitigation action
Podgorski, J. E., Eqani, S. A. M. A. S., & Berg, M. (2019). Effect of arsenic risk assessment in Pakistan on mitigation action. In Y. G. Zhu, H. Guo, P. Bhattacharya, J. Bundschuh, A. Ahmad, & R. Naidu (Eds.), Arsenic in the environment - proceedings. Environmental arsenic in a changing world (pp. 541-542). https://doi.org/10.1201/9781351046633-211
Isotope mapping of groundwater pollution and renewal
Podgorski, J., Berg, M., & Kipfer, R. (2019). Isotope mapping of groundwater pollution and renewal. IAEA Bulletin, 60(1), 31-32.
Prediction modeling and mapping of groundwater fluoride contamination throughout India
Podgorski, J. E., Labhasetwar, P., Saha, D., & Berg, M. (2018). Prediction modeling and mapping of groundwater fluoride contamination throughout India. Environmental Science and Technology, 52(17), 9889-9898. https://doi.org/10.1021/acs.est.8b01679
Prediction model for cyanide soil pollution in artisanal gold mining area by using logistic regression
Razanamahandry, L. C., Andrianisa, H. A., Karoui, H., Podgorski, J., & Yacouba, H. (2018). Prediction model for cyanide soil pollution in artisanal gold mining area by using logistic regression. Catena, 162, 40-50. https://doi.org/10.1016/j.catena.2017.11.018
Persistent organic pollutant emission via dust deposition throughout Pakistan: spatial patterns, regional cycling and their implication for human health risks
Sohail, M., Eqani, S. A. M. A. S., Podgorski, J., Bhowmik, A. K., Mahmood, A., Ali, N., … Shen, H. (2018). Persistent organic pollutant emission via dust deposition throughout Pakistan: spatial patterns, regional cycling and their implication for human health risks. Science of the Total Environment, 618, 829-837. https://doi.org/10.1016/j.scitotenv.2017.08.224
Modelling groundwater arsenic contamination in China with the groundwater assessment platform (GAP)
Arnheiter, R. (2017). Modelling groundwater arsenic contamination in China with the groundwater assessment platform (GAP) [Bachelor thesis].
Groundwater arsenic contamination in Burkina Faso, West Africa: predicting and verifying regions at risk
Bretzler, A., Lalanne, F., Nikiema, J., Podgorski, J., Pfenninger, N., Berg, M., & Schirmer, M. (2017). Groundwater arsenic contamination in Burkina Faso, West Africa: predicting and verifying regions at risk. Science of the Total Environment, 584-585, 958-970. https://doi.org/10.1016/j.scitotenv.2017.01.147
Extensive arsenic contamination in high-pH unconfined aquifers in the Indus Valley
Podgorski, J. E., Eqani, S. A. M. A. S., Khanam, T., Ullah, R., Shen, H., & Berg, M. (2017). Extensive arsenic contamination in high-pH unconfined aquifers in the Indus Valley. Science Advances, 3(8), e1700935 (10 pp.). https://doi.org/10.1126/sciadv.1700935
Using helicopter TEM to delineate fresh water and salt water zones in the aquifer beneath the Okavango Delta, Botswana
Podgorski, J. E., Kinzelbach, W. K. H., & Kgotlhang, L. (2017). Using helicopter TEM to delineate fresh water and salt water zones in the aquifer beneath the Okavango Delta, Botswana. Advances in Water Resources, 107, 265-279. https://doi.org/10.1016/j.advwatres.2017.06.021
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.
Joint inversions of three types of electromagnetic data explicitly constrained by seismic observations: results from the Central Okavango Delta, Botswana
Kalscheuer, T., Blake, S., Podgorski, J. E., Wagner, F., Green, A. G., Maurer, H., … Tshoso, G. (2015). Joint inversions of three types of electromagnetic data explicitly constrained by seismic observations: results from the Central Okavango Delta, Botswana. Geophysical Journal International, 202(3), 1429-1452. https://doi.org/10.1093/gji/ggv184