Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Environmental Science, Instruction is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Is PFAS from land applied municipal biosolids a significant source of human exposure via groundwater?
Pepper, I., Kelley, C. & Brusseau, M., Mar 15 2023, In: Science of the Total Environment. 864, 161154.Research output: Contribution to journal › Comment/debate › peer-review
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Air-water interfacial adsorption of C4-C10 perfluorocarboxylic acids during transport in unsaturated porous media
Lyu, Y., Wang, B., Du, X., Guo, B. & Brusseau, M. L., Jul 20 2022, In: Science of the Total Environment. 831, 154905.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
An application for relating Legionella shower water monitoring results to estimated health outcomes
Wilson, A. M., Canter, K., Abney, S. E., Gerba, C. P., Myers, E. R., Hanlin, J. & Reynolds, K. A., Aug 1 2022, In: Water research. 221, 118812.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
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Exposures, Health Impacts, and Risk for Mine Waste Contamination
Maier, R. M., Betterton, E., Camenisch, T. D., Chief, K., Chorover, J. D., Ela, W. P., Field, J. A., Futscher, B. W., Gerba, C. P., Kiela, P. R., Klimecki, W., Lantz, R. C., Saez, A. E., Selmin, O., Vaillancourt, R. R., Arnold, R. G., Brusseau, M. L. & Pepper, I. L.
Project: Research project
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Datasets
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Data and Code for evaluation of E. Coli in sediment for assessing irrigation water quality using machine learning
Tousi, E. G. (Creator), Duan, J. G. (Creator), Gundy, P. M. (Creator), Bright, K. R. (Creator) & Gerba, C. P. (Creator), University of Arizona Research Data Repository, 2022
DOI: 10.25422/azu.data.21096184.v1, https://arizona.figshare.com/articles/software/Data_and_Code_for_evaluation_of_E_Coli_in_sediment_for_assessing_irrigation_water_quality_using_machine_learning/21096184/1
Dataset