Access and download our maps of groundwater quality

Below you can access our map gallery. Click on the map to download it at full resolution.

Global Maps

Podgorski, J.; Berg, M. (2022) Global analysis and prediction of fluoride in groundwater, Nature Communications, 13(1), 4232 (9 pp.), doi:10.1038/s41467-022-31940-x

Podgorski, J.; Berg, M. (2020) Global threat of arsenic in groundwater, Science, 368(6493), 845-850, doi:10.1126/science.aba1510

National Maps

Araya, D.; Podgorski, J.; Kumi, M.; Mainoo, P. A.; Berg, M. (2022) Fluoride contamination of groundwater resources in Ghana: country-wide hazard modeling and estimated population at risk, Water Research, 212, 118083 (10 pp.), doi:10.1016/j.watres.2022.118083

Ling, Y.; Podgorski, J.; Sadiq, M.; Rasheed, H.; Eqani, S. A. M. A. S.; Berg, M. (2022) Monitoring and prediction of high fluoride concentrations in groundwater in Pakistan, Science of the Total Environment, 839, 156058 (9 pp.), doi:10.1016/j.scitotenv.2022.156058

Podgorski, J.; Wu, R.; Chakravorty, B.; Polya, D.A. (2020) Groundwater Arsenic Distribution in India by Machine Learning Geospatial Modeling, Environmental Research and Public Health, 17, 7119 doi.org/10.3390/ijerph17197119

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, doi.org/10.1021/acs.est.8b01679

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, DOI: 10.1126/sciadv.1700935

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, 958-97, doi:10.1016/j.gsf.2018.06.004

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), 866-86, DOI: 10.1126/science.1237484

Regional Maps

Podgorski, J.; Araya, d.; Berg, M. (2022) Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh – Machine learning spatial prediction modeling and comparison with arsenic, Sci. Total Environ. 883, 15513, doi.org/10.1016/j.scitotenv.2022.155131

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, doi:10.1038/ngeo254

Keywords

contamination, groundwater contamination, exposure, groundwater contaminants, predict groundwater contamination, geogenic, geogenic contamination, groundwater, mitigation, human health, exposure groundwater, affect human health, health risk, natural, models, predictions, communities, worlds population, pollutants, advances mitigation