Integrating ToxPi outputs with ArcGIS Dashboards to identify neighborhood threat levels of contaminant transferal during flood events

References

• Bhandari, S., et al., 2020. HGBEnviroScreen: enabling community action through data integration in the Houston–Galveston–Brazoria Region. International Journal of Environmental Research and Public Health, 17 (4), 1130. doi:10.3390/ijerph17041130
   PubMed Web of Science ®Google Scholar
• Campbell, A., et al., 2018. Assessing the impact of urbanization on flood risk and severity for the Pawtuxet watershed, Rhode Island. Lake and Reservoir Management, 34 (1), 74–87. doi:10.1080/10402381.2017.1390016
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (CDC), 2020. 500 Cities Project: Local Data for Better Health. Available from: https://www.cdc.gov/places/index.html [Accessed 23 Nov 2020].
   Google Scholar
• Federal Emergency Management Agency (FEMA), 2019. Flood insurance. Definitions. Available from: https://www.fema.gov/national-flood-insurance-program/definitions.
   Google Scholar
• Flanagan, B.E., et al., 2011. A social vulnerability index for disaster management. Journal of Homeland Security and Emergency Management, 8 (1), 0000102202154773551792. doi:10.2202/1547-7355.1792
   Web of Science ®Google Scholar
• Flanagan, B.E., et al., 2018. Measuring community vulnerability to natural and anthropogenic hazards: the Centers for Disease Control and Prevention’s Social Vulnerability Index. Journal of Environmental Health, 80 (10), 34–36. Available from: https://svi.cdc.gov/Documents/Publications/CDC_ATSDR_SVI_Materials/JEH2018.pdf.
   PubMed Web of Science ®Google Scholar
• Hwang, H.M., et al., 2016. Review of pollutants in urban road dust and stormwater runoff: part 1. Heavy metals released from vehicles. International Journal of Urban Sciences, 20 (3), 334–360. doi:10.1080/12265934.2016.1193041
   Web of Science ®Google Scholar
• Hwang, H.M., et al., 2019. Review of pollutants in urban road dust: part II. Organic contaminants from vehicles and road management. International Journal of Urban Sciences, 23 (4), 445–463. doi:10.1080/12265934.2018.1538811
   Web of Science ®Google Scholar
• Janesick, A.S., et al., 2016. On the utility of ToxCast™ and ToxPi as methods for identifying new obesogens. Environmental Health Perspectives, 124 (8), 1214–1226. doi:10.1289/ehp.1510352
   PubMed Web of Science ®Google Scholar
• Lee, J., Newman, G., and Park, Y., 2018. A comparison of vacancy dynamics between growing and shrinking cities using the land transformation model. Sustainability, 10 (5), 1513–1530. doi:10.3390/su10051513
   PubMed Web of Science ®Google Scholar
• Marvel, S.W., et al., 2018. ToxPi Graphical User Interface 2.0: dynamic exploration, visualization, and sharing of integrated data models. BMC Bioinformatics, 19 (1), 1–7. doi:10.1186/s12859-018-2089-2
   PubMedGoogle Scholar
• Molefi, M., et al., 2020. The impact of China’s lockdown policy on the incidence of CoVID-19: an Interrupted time series analysis. doi:10.21203/rs.3.rs-32944/v1
   Google Scholar
• Moran, G., 2020. Toxic waste sites aren’t prepared for hurricane season. Available from: https://www.popsci.com/story/environment/hurricane-flooding-toxic-waste-superfund-sites/ [Accessed 12 Aug 2020].
   Google Scholar
• Newman, G., et al., 2016. A current inventory of vacant urban land in America. Journal of Urban Design, 21 (3), 302–319. doi:10.1080/13574809.2016.1167589
   Web of Science ®Google Scholar
• Newman, G., et al., 2019. Evaluating drivers of housing vacancy: a longitudinal analysis of large U.S. cities from 1940–2010. Journal of Housing and the Built Environment, 34 (3), 807–827. doi:10.1007/s10901-019-09684-w
   PubMed Web of Science ®Google Scholar
• Newman, G., et al., 2020a. A python script for longitudinally measuring the duration of vacant land uses. Journal of Spatial Science, 1–13. doi:10.1080/14498596.2020.1721344
   Web of Science ®Google Scholar
• Newman, G., et al., 2020b. Citizen science-informed community master planning: land use and built environment changes to increase flood resilience and decrease contaminant exposure. International Journal of Environmental Research and Public Health, 17 (2), 486. doi:10.3390/ijerph17020486
   PubMed Web of Science ®Google Scholar
• Page, G.W. and Berger, R.S., 2006. Characteristics and land use of contaminated brownfield properties in voluntary cleanup agreement programs. Land Use Policy, 23 (4), 551–559. doi:10.1016/j.landusepol.2005.08.003
   Web of Science ®Google Scholar
• Psyllidis, A., et al., 2015. A platform for urban analytics and semantic data integration in city planning. In: R. Junge, ed. International conference on computer-aided architectural design futures. Berlin, Heidelberg: Springer, 21–36.
   Google Scholar
• Reif, D.M., et al., 2010. Endocrine profiling and prioritization of environmental chemicals using ToxCast data. Environmental Health Perspectives, 118 (12), 1714–1720. doi:10.1289/ehp.1002180
   PubMed Web of Science ®Google Scholar
• Reif, D.M., et al., 2013. ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence. Bioinformatics, 29 (3), 402–403. doi:10.1093/bioinformatics/bts686
   PubMed Web of Science ®Google Scholar
• Reja, M.Y., et al., 2017. Hurricane recovery and ecological resilience: measuring the impacts of wetland alteration post Hurricane Ike on the upper TX coast. Journal of Environmental Management, 60 (6), 1116–1126.
   Google Scholar
• Rodríguez-Eugenio, N., McLaughlin, M., and Pennock, D., 2018. Soil pollution: a hidden reality. Rome: Food and Agriculture Organization of the United Nations. Available from: http://www.fao.org/3/I9183EN/i9183en.pdf.
   Google Scholar
• Rotkin-Ellman, M., et al., 2010. Arsenic contamination in New Orleans soil: temporal changes associated with flooding. Environmental Research, 110 (1), 19–25. doi:10.1016/j.envres.2009.09.004
   PubMed Web of Science ®Google Scholar
• Stone, K., et al., 2019. A spatial analysis of possible environmental exposures in recreational areas impacted by Hurricane Harvey flooding, Harris County, Texas. Environmental Management, 64 (4). doi:10.1007/s00267-019-01204-4
   PubMed Web of Science ®Google Scholar
• Teron, L., et al., 2019. Establishing a toxics mobility inventory for climate change and pollution. Sustainability, 12 (4), 226–234. doi:10.1089/sus.2019.0003
   Google Scholar
• United Nations, 2017. Factsheet: people and oceans. The Oceans Conference. Available from: https://www.un.org/sustainabledevelopment/wp-content/uploads/2017/05/Ocean-fact-sheet-package.pdf [Accessed 3 Dec 2019].
   Google Scholar
• United States Government Accountability Office (GAO), 2015. Hazardous waste cleanup: numbers of contaminated federal sites, estimated costs, and EPA’s oversight role. Report No. GAO-15-830T. Available from: https://www.gao.gov/assets/680/672464.pdf [Accessed 3 Dec 2019].
   Google Scholar
• Whyte, J., 2019. How digital information transforms project delivery models. Project Management Journal, 50 (2), 177–194. doi:10.1177/8756972818823304
   Web of Science ®Google Scholar
• Wilson, S. and Fischetti, T., 2010. Coastline population trends in the United States 1960 to 2008. Available from: https://www.census.gov/prod/2010pubs/p25-1139.pdf [Accessed 3 Dec 2019].
   Google Scholar