Assigned reading for ENVR 468:
Environmental and Health Geostatistical BME papers


Ground Water Quality and Properties


Sanders, A.P, K.P. Messier, M. Shehee, K. Rudo, M.L. Serre, R.C. Fry (2011) Arsenic in North Carolina: Public Health Implications, Environment International, Vol. 38  pp. 10-16. (pdf article) (pdf supporting information)


Messier; K.P., Y. Akita; and M.L. Serre (2012) Integrating address geocoding, land use regression, and spatiotemporal geostatistical estimation for groundwater tetrachloroethylene, Environmental Science and Technology 46(5):2772-2780 (pdf article) (pdf supplementary information)


Messier, K. P., E. Kane, R. Bolich, M.L. Serre (2014)  Nitrate Variability in Groundwater of North Carolina using Monitoring and Private Well Data Models, Environmental Science and Technology. 2014, 48, 10804−10812 (article) (supplementary material)


Messier, K. P., Campbell, T., Bradley, P. J. & Serre, M. L (2015) Estimation of Groundwater Radon in North Carolina Using Land Use Regression and Bayesian Maximum Entropy, Environmental Science and Technology.2015;  49, 16, p. 9817-9825 9 p. (pdf article) (pdf supplementary information)


AM Gomez, ML Serre, E Wise, T Pavelsky, Integrating community science research and space-time mapping to determine depth to groundwater in a remote rural region, Water Resource Research, in press, 2021 (pdf article) (supplementary information)


S Rabouli, ML Serre, V Dubois, J Gance, H Henine, P Molle, C Truffert, R Clement, Vertical 2D spatialization of saturated hydraulic conductivity by integrating ERT and infiltration test into a Bayesian Maximum Entropy data fusion method: Application to wastewater infiltration area, Water Research, 117607, 2021 (pdf article)


Surface Water Quality


Akita, Y., G. Carter, and M.L. Serre (2007) Spatiotemporal Non-Attainment Assessment of Surface Water Tetrachloroethene in New Jersey, Journal of Environmental Quality, Vol. 36, Number 2, pp. 508-520. (pdf article)


Coulliette, A.D., E. Money, M.L. Serre, R.T. Noble (2009) Space/Time Analyses of Fecal Pollution and Rainfall in an Eastern North Carolina Estuary, Environmental Science & Technology, Vol. 43(10) pp. 3728-3735. (pdf article) (pdf supporting information)


Holcomb, D. A, Messier, K. P, Serre, M. L., Rowny, J. G., and Stewart, J. R., Geostatistical Prediction of Microbial Water Quality Throughout a Stream Network Using Meteorology, Land Cover, and Spatiotemporal Autocorrelation. Environmental science & technology. 52 (14), 7775-7784, 2018 (pdf article) (pdf supporting information)


Water Quality using River Distance


Money, E., G. Carter, M.L. Serre (2009) Using River Distances in the Space/Time Estimation of Dissolved Oxygen along Two Impaired River Networks in New Jersey, Water Research, Vol. 43, No. 7, pp. 1948-1958. (pdf article) (pdf supplementary information) (gif movie 1) (gif movie 2)


Money, E., G. Carter, M.L. Serre (2009) Modern Space/Time Geostatistics using River Distances:  Data Integration of Turbidity and E.coli Measurements to Assess Fecal Contamination Along the Raritan River in New Jersey, Environmental Science & Technology, Vol. 43(10), pp. 3736-3742. (pdf article) (pdf supporting information) (avi movie 1)


Money, E.S., D.K. Sackett, D.D. Aday, M.L. Serre (2011) Using River Distance and Existing Hydrography Data Can Improve the Geostatistical Estimation of Fish Tissue Mercury at Unsampled Locations, Environmental Science & Technology, (pdf article) (pdf supporting information)


Jat, Prahlad; Serre, Marc L (2016) Bayesian Maximum Entropy space/time estimation of surface water chloride in Maryland using river distances, Environmental Pollution, Elsevier, (pdf article) (pdf supporting information)


Jat, Prahlad; Serre, Marc L (2018) A novel geostatistical approach combining Euclidean and gradual-flow covariance models to estimate fecal coliform along the Haw and Deep rivers in North Carolina, (pdf article and supporting information)


Air pollution


Serre, M.L., G. Christakos and S-J Lee (2004).  Soft Data Space/Time Mapping of Coarse Particulate Matter Annual Arithmetic Average over the U.S., in X. Sanchez-Vila et al. (eds.), geoENV IV -  Geostatistics for Environmental Applications, Kluwer Academic Publishers, Dordrecht, 1, 115-126. (pdf article)


Puangthongthub, S., S. Wangwongwatana, R.M. Kamens, M.L. Serre (2007) Modeling the Space/Time Distribution of Particulate Matter in Thailand and Optimizing Its Monitoring Network, Atmospheric Environment, Vol 41 pp 7788-7805 (pdf article)


Allshouse, W.B., J.D.. Pleil, S.M. Rappaport, M.L. Serre (2009) Mass Fraction Spatiotemporal Geostatistics and its Application to Map Atmospheric Polycyclic Aromatic Hydrocarbons after 9/11, Stochastic Environmental Research and Risk Assessment. (pdf article) (pdf supplementary information)


De Nazelle, A., S. Arunachalam, M.L. Serre (2010) Bayesian Maximum Entropy Integration of Ozone Observations and Model Predictions: An Application for Attainment Demonstration in North Carolina, Environ. Sci. Technol. Vol. 44, pp. 5707–5713. (pdf article) (pdf supplementary information)


Akita; Y., JC Chen; and M.L. Serre (2012) The moving-window Bayesian Maximum Entropy framework: Estimation of PM2.5 yearly average concentration across the contiguous United States. Journal of Exposure Science and Environmental Epidemiology (pdf article) (supplementary material


Seung-Jae Lee; Marc L. Serre; Aaron van Donkelaar; Randall V. Martin; Richard T. Burnett; Michael Jerrett (2012) Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United States, Environmental Health Perspectives. 120(12):1727-1732(article)


Bernardo S. Beckerman; Michael Jerrett; Marc Serre; Randall V. Martin; Seung-Jae Lee; Aaron Van Donkelaar; Zev Ross; Jason Su; Richard T. Burnett (2013) A hybrid approach to estimating national scale spatiotemporal variability of PM2.5 in the contiguous United States, Environmental Science and Technology. 2013;47(13):7233-7241 (article) (supplementary material)


Jeanette M. Reyes and Marc L. Serre (2014). An LUR/BME Framework to Estimate PM2.5 Explained by on Road, Mobile and Stationary Sources, Environmental Science and Technology.  2014, 48 (3), pp 1736–1744. (article) (supplementary material)


Yasuyuki Akita; Jose M. Baldasano; Rob Beelen; Marta Cirach; Kees De Hoogh; Gerard Hoek; Mark Nieuwenhuijsen; Marc L. Serre; Audrey De Nazelle (2014), Large scale air pollution estimation method combining land use regression and chemical transport modeling in a geostatistical framework, Environmental Science and Technology. 2014;48(8):4452-4459. (article)


Xu, Yadong; Serre, Marc L; Reyes, Jeanette; Vizuete, William (2016) Bayesian Maximum Entropy Integration of Ozone Observations and Model Predictions: A National Application, Environmental science & technology,50,8,4393-4400,2016,American Chemical Society (pdf article) (supplementary material 


JM Reyes, Y Xu, W Vizuete, ML Serre; Regionalized PM2. 5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain, Atmospheric Environment 2017; 148, 258-265 (pdf article) (supplementary material 


Y Xu, ML Serre, JM Reyes, W Vizuete, Impact of temporal upscaling and chemical transport model horizontal resolution on reducing ozone exposure misclassification, Atmospheric Environment, 166, 374-382, 2017 (pdf article) (supplementary material 


JM Reyes, HF Hubbard, MA Stiegel, JD Pleil, ML Serre, Predicting polycyclic aromatic hydrocarbons using a mass fraction approach in a geostatistical framework across North Carolina, Journal of exposure science & environmental epidemiology, 28 (4), 381, 2018 (pdf article) (supplementary material 


SE Cleland, JJ West, Y Jia, S Reid, S Raffuse, S ONeill, ML Serre, Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2. 5, Environmental Science & Technology, 54 (21), 13439-13447, 2020 (pdf article) (supplementary material


MN DeLang, JS Becker, KL Chang, ML Serre, OR Cooper, MG Schultz, S Schröder, X Lu, Lin Zhang, M Deushi, B Josse, CA Keller, J-F Lamarque, M Lin, J Liu, V Maracal, SA Strode, K Sudo, S Tilmes, L Zhang, SE Cleland, EL Collins, M Brauer, JJ West, Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and Model Output for 1990-2017, Environmental Science & Technology 55 (8), 4389-4398, 2021(pdf article) (supplementary material



Disease and Fatalities


Choi, K, M.L. Serre and G. Christakos (2003) Efficient mapping of California mortality fields at different spatial scales, Journal of Exposure Analysis and Environmental Epidemiology, 13 (2), 120-133, 2003  (pdf article)


Law D.C.G., M.L. Serre, G . Christakos, P.A. Leone, W.C. Miller (2004) Spatial Analysis and Mapping of Sexually Transmitted Diseases to Optimize Intervention and Prevention Strategies, Sexually Transmitted Infections, Vol. 80, pp. 294-299.  (pdf article)


Lee, S.J, K. Yeatts, M.L. Serre (2009) Mapping childhood asthma prevalence across North Carolina using data collected at different spatial observation scales, Spatial and Spatio-Temporal Epidemiology , Vol. 1, pp 49-60 (pdf article)


Hampton KH, Serre ML, Gesink DC, Pilcher CD, Miller WC (2011), Adjusting for sampling variability in sparse data: Geostatistical approaches to disease mapping,  International Journal of Health Geographics, 10:54. (pdf article)


Lani FoxM, Marc L. Serre, Steven J. Lippmannb, Daniel A. Rodríguez, Shrikant I. Bangdiwala, María Isabel Gutiérrezg, Guido Escobarh, Andrés Villaveces (2015) Spatio-temporal approaches to analyzing pedestrian fatalities: The case of Cali, Colombia. Traffic Injury and Prevention, 2015; 16, 6, p. 571-577 7 p. (pdf article)


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