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Collaborations and top research areas from the last five years
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Closure to "quantification of Curve Numbers for Arid Watersheds"
Duan, J. G., Feb 1 2026, In: Journal of Hydrologic Engineering. 31, 1, 07025008.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Erratum for “Quantification of Curve Numbers for Arid Watersheds” (Journal of Hydrologic Engineering DOI: 10.1061/JHYEFF.HEENG-6267)
Duan, J. G., Arjmandi, A., Canfield, E., Demaria, E., Goodrich, D. C. & Qi, K., Feb 1 2026, In: Journal of Hydrologic Engineering. 31, 1, 08225002.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
BED FORM RESISTANCE AND BED LOAD TRANPSORT RATE IN VEGETATED CHANNEL
Duan, J. & Asadi, K. A., 2025, Book of Extended Abstracts of the 41st IAHR World Congress, 2025. Wing-Keung Law, A. & Er, J. W. (eds.). International Association for Hydro-Environment Engineering and Research, p. 1516-1517 2 p. (Proceedings of the IAHR World Congress).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Numerical simulation of bacteria and virus transport in mobile bed channels
Qi, K., Duan, J. G., Gerba, C. & Bright, K., 2025, (Accepted/In press) In: International Journal of Sediment Research.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting Postfire Runoff Using Gridded Curve Number Map Generated from Vegetation Data: A Case Study
Arjmandi, A., Duan, J., Malusa, J. R., Demaria, E. & Canfield, E., Oct 1 2025, In: Journal of Hydrologic Engineering. 30, 5, 05025013.Research output: Contribution to journal › Article › peer-review
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
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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, 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
Dataset