Jennifer Guohong Duan
 Professor, Civil EngineeringEngineering Mechanics
 Professor, Hydrology / Atmospheric Sciences
 Professor, AgriculturalBiosystems Engineering
 Member of the Graduate Faculty
 (520) 6265946
 Civil Engineering, Rm. 210
 Tucson, AZ 85721
 gduan@arizona.edu
Biography
Ph.D. 1998 Computational Hydroscience and Engineering, University of Mississippi
Dissertation: Numerical Simulation of Meandering Migration Processes with an Enhanced Two Dimensional Model
Advisor: Prof. Sam S. Y. Wang
M.S. 1992 Hydraulic Engineering, Tsinghua University
Thesis: Bed Forms and Flow Resistance of Light Weighted Bed Material
Advisor: Prof. Guixian Wang
B.C.E. 1989 Hydraulics and River Mechanics, Wuhan University
Degrees
 Ph.D. Computational Hydroscience and Engineering
 University of Mississippi, Oxford, Mississippi, United States
 Dissertation: Numerical Simulation of Meandering Migration Processes with an Enhanced Two Dimensional Model
Work Experience
 University of Arizona, Tucson, Arizona (2018  Ongoing)
 Civil Engineering and Engineering Mechanics (2014  2017)
 Department of Civil Engineering and Engineering Mechanics, the University of Arizona (2011  Ongoing)
 Department of Civil Engineering and Engineering Mechanics, the University of Arizona (2006  2011)
 Division of Hydrologic Sciences, Desert Research Institute, Nevada Higher Education System (2005  2006)
 National Center for Earth Surface Dynamics, St. Anthony Falls Lab., University of Minnesota (2005)
 Division of Hydrologic Sciences, Desert Research Institute, Nevada Higher Education System (1999  2005)
 Center for Computational Hydroscience and Engineering, University of Mississippi (1994  1999)
 Department of Hydraulic Engineering, Tsinghua University (1992  1993)
Licensure & Certification
 Diplomat, American Academy of Water Resource Engineers, American Society of Civil Engineers (2006)
 Professional Engineer, State of Arizona Board of Professional Registration (2012)
 Professional Engineer, Nevada Board of Professional Registration (2002)
Interests
Teaching
Fluid Mechanics, Open Channel Flow, Computational Hydraulics, Sediment Transport Engineering
Research
My research area is hydraulics and sediment transport focusing on experimental study of turbulence flow field and computational simulation of flow and sediment transport in rivers. My research objective is to advance the fundamental knowledge and develop the stateoftheart computational models in the area of hydraulics and sediment transport through basic and applied research.
Courses
202425 Courses

Mechanics of Fluids
CE 218 (Fall 2024) 
Sedimentation Engr
CE 424 (Fall 2024) 
Sedimentation Engr
CE 524 (Fall 2024)
202324 Courses

Dissertation
CE 920 (Spring 2024) 
Mechanics of Fluids
CE 218 (Spring 2024) 
OpenChannel Flow
CE 422 (Spring 2024) 
OpenChannel Flow
CE 522 (Spring 2024) 
Dissertation
CE 920 (Fall 2023) 
Independent Study
CE 599 (Fall 2023) 
Mechanics of Fluids
CE 218 (Fall 2023)
202223 Courses

Dissertation
CE 920 (Spring 2023) 
Independent Study
CE 599 (Spring 2023) 
Mechanics of Fluids
CE 218 (Spring 2023) 
Thesis
CE 910 (Spring 2023) 
Dissertation
CE 920 (Fall 2022) 
Independent Study
CE 599 (Fall 2022) 
Research Topics
CE 596A (Fall 2022) 
Sedimentation Engr
CE 424 (Fall 2022) 
Sedimentation Engr
CE 524 (Fall 2022) 
Thesis
CE 910 (Fall 2022)
202122 Courses

Internship
CE 593 (Summer I 2022) 
Dissertation
CE 920 (Spring 2022) 
Independent Study
CE 599 (Spring 2022) 
Mechanics of Fluids
CE 218 (Spring 2022) 
Thesis
CE 910 (Spring 2022) 
Dissertation
CE 920 (Fall 2021) 
Independent Study
CE 599 (Fall 2021) 
Master's Report
HWRS 909 (Fall 2021) 
Mechanics of Fluids
CE 218 (Fall 2021) 
OpenChannel Flow
CE 422 (Fall 2021) 
OpenChannel Flow
CE 522 (Fall 2021) 
Research Topics
CE 596A (Fall 2021)
202021 Courses

Mechanics of Fluids
CE 218 (Spring 2021) 
Thesis
CE 910 (Spring 2021) 
Dissertation
CE 920 (Fall 2020) 
Thesis
CE 910 (Fall 2020)
201920 Courses

Internship
CE 593 (Summer I 2020) 
Dissertation
CE 920 (Spring 2020) 
Independent Study
CE 599 (Spring 2020) 
Mechanics of Fluids
CE 218 (Spring 2020) 
Sedimentation Engr
CE 424 (Spring 2020) 
Sedimentation Engr
CE 524 (Spring 2020) 
Thesis
CE 910 (Spring 2020) 
Dissertation
CE 920 (Fall 2019) 
Independent Study
CE 599 (Fall 2019) 
Mechanics of Fluids
CE 218 (Fall 2019)
201819 Courses

Dissertation
CE 920 (Spring 2019) 
Internship
CE 593 (Spring 2019) 
Mechanics of Fluids
CE 218 (Spring 2019) 
OpenChannel Flow
CE 422 (Spring 2019) 
OpenChannel Flow
CE 522 (Spring 2019) 
Dissertation
CE 920 (Fall 2018) 
Independent Study
CE 599 (Fall 2018) 
Mechanics of Fluids
CE 218 (Fall 2018) 
Research Topics
CE 596A (Fall 2018)
201718 Courses

Dissertation
CE 920 (Spring 2018) 
Independent Study
CE 599 (Spring 2018) 
Internship
CE 493 (Spring 2018) 
Mechanics of Fluids
CE 218 (Spring 2018) 
OpenChannel Flow
ABE 422 (Spring 2018) 
OpenChannel Flow
ABE 522 (Spring 2018) 
OpenChannel Flow
CE 422 (Spring 2018) 
OpenChannel Flow
CE 522 (Spring 2018) 
Dissertation
CE 920 (Fall 2017) 
Internship
CE 493 (Fall 2017) 
Mechanics of Fluids
CE 218 (Fall 2017)
201617 Courses

Dissertation
CE 920 (Spring 2017) 
Independent Study
CE 599 (Spring 2017) 
Mechanics of Fluids
CE 218 (Spring 2017) 
OpenChannel Flow
ABE 522 (Spring 2017) 
OpenChannel Flow
CE 422 (Spring 2017) 
OpenChannel Flow
CE 522 (Spring 2017) 
Thesis
CE 910 (Spring 2017) 
Dissertation
CE 920 (Fall 2016) 
Independent Study
CE 599 (Fall 2016) 
Sedimentation Engr
ABE 622 (Fall 2016) 
Sedimentation Engr
CE 622 (Fall 2016)
201516 Courses

Dissertation
CE 920 (Spring 2016) 
Mechanics of Fluids
CE 218 (Spring 2016) 
Spc Tpc Hydr+Wtr Res Eng
CE 429 (Spring 2016) 
Spc Tpc Hydr+Wtr Res Eng
CE 529 (Spring 2016)
Scholarly Contributions
Chapters
 Duan, J. G. (2001).
Simulation of Streambank Erosion Processes with a TwoDimensional Numerical Model
. In Landscape Erosion and Evolution Modeling. Springer, Boston, MA. doi:10.1007/9781461505754_13More infoChannel stabilization is critical for the success of channel restoration. A stable channel, from a geomorphic perspective, is one that has adjusted its width, depth, and slope such that there is no significant aggradation or degradation of the streambed or significant platform changes within an engineering time frame, generally less than 50 years (Biedenharn et al., 1997). Even though the bed of a stream in dynamic equilibrium is neither degrading nor aggrading, erosion may be occurring in stream banks and result in bank instability. Bank protection is often required even for a stream in dynamic equilibrium. Due to the lack of understanding of bank erosion mechanisms, the hydraulic and sediment transport models, including the series of U.S. Army Corps of Engineers Hydrologic Engineering Center models, CH3DSED, etc., which have been widely applied to engineering projects to design stable channels, can only predict the vertical bed adjustments due to degradation and aggradation. Alluvial channels adjust themselves to reach regime conditions not only through bed elevation changes but also through platform evolution, for example, the migration of meandering channels.
Journals/Publications
 AlAsadi, K., Abbas, A. A., Dawood, A. S., & Duan, J. G. (2023).
Calibration and Modification of the Hargreaves–Samani Equation for Estimating Daily Reference Evapotranspiration in Iraq
. Journal of Hydrologic Engineering, 28(5). doi:10.1061/jhyeff.heeng5877  Duan, J. G., & Arjmandi, A. (2023). Quantify Post Wildfire Curve Number for Arid Watersheds. AGU23.
 Duan, J. G., Engel, F. L., & Cadogan, A. (2023). Discharge estimation using video recordings from small unoccupied aircraft systems. Journal of Hydraulic Engineering, 149(11), 04023048.
 Duan, J. G., Yu, C., & Ding, Y. (2023).
Numerical Simulation of Sediment Transport in Unsteady Open Channel Flow
. Water, 15(14), 2576. doi:10.3390/w15142576  Duan, J. G., & AlAsadi, K. (2022). On bed form resistance and bed load transport in vegetated channels. Water, 14(23), 3794.
 Duan, J. G., & AlAsadi, K. (2022). On bed form resistance and bed load transport in vegetated channels.. Water(Switzerland), 14(23). doi:doi:10.3390/w14233794More infobed form and flow resistance in vegetated channel
 Gerba, C. P., Duan, J. G., Tousi, E. G., & Gundy, P. M. (2022). Resuspension and Attachment of PhiX174 in Sediment Laden Flow. Journal of Environmental Engineering, 148(6). doi:10.1061/(asce)ee.19437870.0001996
 Qi, K., Tousi, E. G., Duan, J. G., Gundy, P. M., Bright, K. R., & Gerba, C. P. (2022). Entrainment of E. coli and Listeria monocytogenes from sediment in irrigation canal. International Journal of Sediment Research, 37(6), 701714.
 Tousi, E. G., Duan, J. G., Gundy, P. M., & Gerba, C. P. (2022). Resuspension and attachment of PhiX174 in sediment laden flow. Journal of Environmental Engineering, 148(6), 04022018.
 Boccelli, D. L., Lansey, K. E., Meixner, T., Scott, C. A., Crosson, C., Boccelli, D. L., Albrecht, T. R., Achilli, A., Shrestha, P. P., Pincetl, S., Zunigateran, A. A., Shrestha, P. P., Pincetl, S., Mack, E. A., Duan, J. G., Daigger, G. T., Crosson, C., Cath, T. Y., Albrecht, T. R., & Achilli, A. (2021). Net Zero Urban Water from Concept to Applications: Integrating Natural, Built, and Social Systems for Responsive and Adaptive Solutions. ACS ES&T Water, 1(3), 518529. doi:10.1021/acsestwater.0c00180More infoInnovation in urban water systems is required to address drivers of change across natural, built, and social systems, including climate change, economic development, and aged infrastructure. Water ...
 Bright, K. R., Tousi, E. G., Gundy, P. M., Gerba, C. P., & Duan, J. G. (2021). Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning.. The Science of the total environment, 799, 149286. doi:10.1016/j.scitotenv.2021.149286More infoFresh produce irrigated with contaminated water poses a substantial risk to human health. This study evaluated the impact of incorporating sediment information on improving the performance of machine learning models to quantify E. coli level in irrigation water. Field samples were collected from irrigation canals in the Southwest U.S., for which meteorological, chemical, and physical water quality variables as well as three additional flow and sediment properties: the concentration of E. coli in sediment, sediment median size, and bed shear stress. Water quality was classified based on E. coli concentration exceeding two standard levels: 1 E. coli and 126 E. coli colony forming units (CFU) per 100 ml of irrigation water. Two series of features, including (FIS) and excluding (FES) sediment features, were selected using multivariant filter feature selection. The correlation analysis revealed the inclusion of sediment features improves the correlation with the target standards for E. coli compared to the models excluding these features. Support vector machine, logistic regression, and ridge classifier were tested in this study. The support vector machine model performed the best for both targeted standards. Besides, incorporating sediment features improved all models' performance. Therefore, the concentration of E. coli in sediment and bed shear stress are major factors influencing E. coli concentration in irrigation water.
 Bright, K. R., Tousi, E. G., Gundy, P. M., Gerba, C. P., Duan, J. G., & Bright, K. R. (2021). Experimental Study of PhiX174 Resuspension from Mobile Bed Sediment. Journal of Irrigation and Drainage Engineeringasce, 147(5). doi:10.1061/(asce)ir.19434774.0001549More infoAbstractPhiX174 (or ΦX174) is a spherical singlestranded DNA bacteriophage used as a surrogate to study viral enteric pathogens in the environment. The resuspension of viral pathogen from bed sedi...
 Ahamed, T., Duan, J. G., & Jo, H. (2020).
Floodfragility analysis of instream bridges – consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth
. Structure and Infrastructure Engineering, 17(11), 14941507. doi:10.1080/15732479.2020.1815226  Ahamed, T., Duan, J. G., & Jo, H. (2021). Floodfragility analysis of instream bridgesconsideration of flow hydraulics, geotechnical uncertainties, and variable scour depth. Structure and Infrastructure Engineering, 17(11), 14941507. doi:doi:10.1080/15732479.2020.1815226
 Ahamed, T., Shim, J., Jeong, J., Jo, H., & Duan, J. G. (2020). An efficient outlier removal algorithm for sonarbased bridge scour monitoring. Flow Measurement and Instrumentation. doi:https://doi.org/10.1080/15732479.2020.1815226
 Sassi, H., Ogtrop, F. v., Morrison, C. M., Zhou, K., Duan, J. G., & Gerba, C. (2020). Sediment resuspension as a potential mechanism for viral and bacterial contaminants. Journal of Environmental Science and Health, Part A. doi:https://doi.org/10.1080/15732479.2020.1815226
 Zhou, K., Duan, J. G., & Bombardelli, F. A. (2020). Experimental and theoretical study of local scour around threepier group. Journal of Hydraulic Engineering, 146(10). doi:doi:10.1061/(ASCE)HY.19437900.0001794
 Meixner, T., Meixner, T., Pavaozuckerman, M., Pavaozuckerman, M., Duan, J. G., Duan, J. G., & Crosson, C. (2019). Advances in Green Infrastructure Research, Development, and Community Adoption II. AGU Fall Meeting 2019.
 Meixner, T., Meixner, T., Pavaozuckerman, M., Pavaozuckerman, M., Duan, J. G., Duan, J. G., & Crosson, C. (2019). Advances in Green Infrastructure Research, Development, and Community Adoption III Posters. AGU Fall Meeting 2019.
 Shim, J., & Duan, J. G. (2019). Experimental and theoretical study of bed load particle velocity. Journal of Hydraulic Research, 57(1), 6274.
 Duan, J., & Shim, J. (2018). Experimental and theoretical study of bed load particle velocity. Journal of Hydraulic Research, 57(1), 6274. doi:10.1080/00221686.2018.1434837
 Ahamed, T., Shim, J., Jeong, J., Jo, H., & Duan, J. G. (2017). Advanced Signal Processing of Sonar Measurement for Bridge Scour Monitoring. WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: INTERNATIONAL PERSPECTIVES, HISTORY AND HERITAGE, EMERGING TECHNOLOGIES, AND STUDENT PAPERS, 93100.
 AlAsadi, K., & Duan, J. G. (2017). Assessing methods for estimating roughness coefficient in a vegetated marsh area using Delft3D. JOURNAL OF HYDROINFORMATICS, 19(5), 766783.
 Duan, J. G., Bai, Y., Dominguez, F., Rivera, E., & Meixner, T. (2017). Framework for Incorporating Climate Change on Flood Magnitude and Frequency Analysis in the Upper Santa Cruz River. Journal of Hydrology.
 Duan, J. G., Bai, Y., Dominguez, F., Rivera, E., & Meixner, T. (2017). Framework for incorporating climate change on flood magnitude and frequency analysis in the upper Santa Cruz River. JOURNAL OF HYDROLOGY, 549, 194207.
 Duan, J. G., Poteuck, M., Rosenberg, A., & Zhou, K. (2017). Simulating Watershed Erosion in BMGR Using AGWA Model. WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: HYDRAULICS AND WATERWAYS AND WATER DISTRIBUTION SYSTEMS ANALYSIS, 335344.
 LiGuo, Z., XuDong, F., & Duan, J. G. (2017). A surfacebased hiding function linking flume and field data. SCIENCE CHINATECHNOLOGICAL SCIENCES, 60(10), 15601569.
 Shim, J., & Duan, J. G. (2017). Experimental study of bedload transport using particle motion tracking. INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 32(1), 7381.
 Yu, C., & Duan, J. (2017). Simulation of Surface Runoff Using Hydrodynamic Model. JOURNAL OF HYDROLOGIC ENGINEERING, 22(6).
 Yu, C., & Duan, J. (2017). Simulation of Surface Runoff Using Hydrodynamic Model. Journal of Hydrologic Engineering, 04017006.
 Zhou, K., Sassi, H. P., Morrison, C. M., Duan, J. G., & Gerba, C. P. (2017). Resuspension of Escherichia coli and MS2 Bacteriophage from Bed Sediment in Irrigation Canals. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 143(6).
 Zhou, K., Sassi, H. P., Morrison, C. M., Duan, J. G., & Gerba, C. P. (2017). Resuspension of Escherichia coli and MS2 Bacteriophage from Bed Sediment in Irrigation Canals. Journal of Irrigation and Drainage Engineering, 04017005.
 Shim, J., & Duan, J. G. (2016). Experimental study of bedload transport using particle motion tracking. International Journal of Sediment Research.
 Shim, J., Duan, J., & Jo, H. (2016). Simulating Sediment Transport around a Bridge Pier Using Open FOAM Software. WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2016: HYDRAULICS AND WATERWAYS AND HYDROCLIMATE/CLIMATE CHANGE, 362369.
 Yu, C., Rosenberg, A., Poteuck, M., & Duan, J. G. (2016). Modeling of Erosion and Sedimentation Impacts from offRoad Vehicles in Arid Regions. World Academy of Science, Engineering and Technology, International Journal of Environmental and Ecological Engineering, 3(11).
 AlAsadi, K., & Duan, J. G. (2015). ThreeDimensional Hydrodynamic Simulation of Tidal Flow through a Vegetated Marsh Area. JOURNAL OF HYDRAULIC ENGINEERING, 141(12).
 Bai, Y., & Duan, J. G. (2015). Using a Twodimensional Watershed Model to Estimate Flood Magnitude and Frequency under Changing Climate. World Environmental and Water Resources Congress 2015: Floods, Droughts, and Ecosystems, 11631172.
 Shim, J., & Duan, J. G. (2015). Stochastic Properties of Bed Load Transport. World Environmental and Water Resources Congress 2015: Floods, Droughts, and Ecosystems, 18411850.
 Bai, Y., & Duan, J. G. (2014). Simulating unsteady flow and sediment transport in vegetated channel network. JOURNAL OF HYDROLOGY, 515, 90102.
 Duan, J. (2014). Impacts of River Restoration on Bridges.
 YU, C., DUAN, J., ERPICUM, S., PIROTTON, M., ARCHAMBEAU, P., & DEWALS, B. J. (2014). Twodimensional depthaveraged finite volume model for unsteady turbulent flows. Journal of hydraulic research, 52(1), 148150.
 Yu, C., & Duan, J. (2014). Closure to "Twodimensional depthaveraged finite volume model for unsteady turbulent flow" by CHUNSHUI YU and JENNIFER DUAN, J. Hydraulic Res. 50(6), 2012, 599611. JOURNAL OF HYDRAULIC RESEARCH, 52(1), 150151.
 Yu, C., & Duan, J. (2014). TwoDimensional Hydrodynamic Model for SurfaceFlow Routing. JOURNAL OF HYDRAULIC ENGINEERING, 140(9).
 Yu, C., & Duan, J. G. (2014). High resolution numerical schemes for solving kinematic wave equation. JOURNAL OF HYDROLOGY, 519, 823832.
 Bai, Y., & Duan, J. G. (2013). 1D Unsteady Flow and Sediment Transport Model for Vegetated Channel Network. PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS I AND II, 50805088.
 Duan, J. G., & Yu, C. (2013). Twodimensional Finite Volume Model for Overland and Channel Flow Routing. PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV.
 Liu, L., Zhong, D., Duan, J., & Zhang, H. (2013). Experimental Study on Landslide Dam Break Due to Overtopping. PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS I AND II, 57185726.
 Zhang, S., Duan, J. G., & Strelkoff, T. S. (2013). GrainScale Nonequilibrium SedimentTransport Model for Unsteady Flow. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 139(1), 2236.
 He, L. i., Duan, J. G., Wang, G., & Fu, X. (2012). Numerical Simulation of Unsteady Hyperconcentrated SedimentLaden Flow in the Yellow River. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 138(11), 958969.
 Hummel, R., Duan, J. G., & Zhang, S. (2012). COMPARISON OF UNSTEADY AND QUASIUNSTEADY FLOW MODELS IN SIMULATING SEDIMENT TRANSPORT IN AN EPHEMERAL ARIZONA STREAM. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 48(5), 987998.
 Liu, F., Fu, X., Wang, G., & Duan, J. (2012). Physically based simulation of dam breach development for Tangjiashan Quake Dam, China. ENVIRONMENTAL EARTH SCIENCES, 65(4), 10811094.
 Posner, A. J., & Duan, J. G. (2012). Simulating river meandering processes using stochastic bank erosion coefficient. GEOMORPHOLOGY, 163, 2636.
 Yu, C., & Duan, J. (2012). Twodimensional depthaveraged finite volume model for unsteady turbulent flow. JOURNAL OF HYDRAULIC RESEARCH, 50(6), 599611.
 Zhang, S., Duan, J. G., Strelkoff, T. S., & Bautista, E. (2012). Simulation of Unsteady Flow and Soil Erosion in Irrigation Furrows. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERINGASCE, 138(4), 294303.
 Zhang, S., Hummel, R., & Duan, J. G. (2012). Comparison of Unsteady and QuasiUnsteady Flow Models in Simulating Sediment Transport in an Ephemeral Arizona Stream1. Journal of The American Water Resources Association, 48(5), 987998. doi:10.1111/j.17521688.2012.00663.xMore infoHummel, Ryan, Jennifer G. Duan, and Shiyan Zhang, 2012. Comparison of Unsteady and QuasiUnsteady Flow Models in Simulating Sediment Transport in an Ephemeral Arizona Stream. Journal of the American Water Resources Association (JAWRA) 48(5): 987998. DOI: 10.1111/j.17521688.2012.00663.x Abstract: Hydrodynamic and sediment transport models are useful engineering tools for predicting unsteady flood flow and sediment transport. Many models such as HECRAS, HEC6, and IALLUVIAL apply quasiunsteady flow model, whereas others apply the unsteady flow model. It remains unknown if a quasiunsteady flow model is sufficiently accurate for simulating sediment transport in rapidly varied unsteady flood events, especially in ephemeral rivers in arid and semiarid regions. This study compared the quasiunsteady HECRAS 4.1 model with onedimensional (1D) Finite Volume Method (FVM) based model in simulating flood flow and sediment transport in the Pantano Wash, a dryland river in the state of Arizona. The objective is to determine which sediment transport method is appropriate in predicting bed elevation changes in an ephemeral stream, Pantano Wash, and if an unsteady model is more accurate than a quasiunsteady flow model in predicting sediment transport. Results showed that the quasiunsteady HECRAS model and the 1D FVM yielded similar results of bed degradation and aggradation for this dryland stream, although the FVM model predicted better flood hydrographs. Among the seven sediment transport formulas embedded in HECRAS, Yang’s and EngelundHansen’s equations gave the best matches with the field measurements for this particular case study.
 Duan, J., He, L. i., Wang, G., & Fu, X. (2011). Turbulent burst around experimental spur dike. INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH, 26(4), 471+.
 Wu, W., Altinakar, M. S., AlRiffai, M., Bergman, N., Bradford, S. F., Cao, Z., Chen, Q. J., Constantinescu, S. G., Duan, J. G., Gee, D. M., Greimann, B., Hanson, G., He, Z., Hegedus, P., van, H. T., Huddleston, D., Hughes, S. A., Imran, J., Jia, Y., , Jorgeson, J. D., et al. (2011). Earthen Embankment Breaching. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 137(12), 15491564.
 Zhang, S., & Duan, J. G. (2011). 1D finite volume model of unsteady flow over mobile bed. JOURNAL OF HYDROLOGY, 405(12), 5768.
 Julien, P. Y., & Duan, J. G. (2010). Numerical simulation of meandering evolution. Journal of Hydrology, 391(1), 3446. doi:10.1016/j.jhydrol.2010.07.005More infoA twodimensional depthaveraged hydrodynamic model is developed to simulate the evolution of meandering channels from the complex interaction between downstream and secondary flows, bed load and suspended sediment transport, and bank erosion. The depthaveraged model calculates both bed load and suspended load assuming equilibrium sediment transport and simulates bank erosion with a combination of two interactive processes: basal erosion and bank failure. The mass conservation equation is solved to account for both vertical bedelevation changes as well as lateral migration changes when sediment is removed through basal erosion and bank failure. The numerical model uses deformable elements and a movable grid to simulate the gradual evolution of a nearstraight deformable channel into a highly sinuous meandering channel. The model correctly replicates the different phases of the evolution of free meandering channels in experimental laboratory settings including: (1) downstream and upstream migration; (2) lateral extension; and (3) rotation of meander bends.
 Julien, P. Y., Friesen, N., Duan, J. G., & Eykholt, R. (2010). Celerity and Amplification of Supercritical Surface Waves. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 136(9), 656661.
 Duan, J. G. (2009). Mean Flow and Turbulence around a Laboratory Spur Dike. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 135(10), 803811.
 Duan, J. G., He, L. i., Fu, X., & Wang, Q. (2009). Mean flow and turbulence around experimental spur dike. ADVANCES IN WATER RESOURCES, 32(12), 17171725.
 Barkdoll, B. D., & Duan, J. G. (2008). Sediment modeling: Issues and future directions. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 134(3), 285285.
 Chen, D., & Duan, J. G. (2008). Case study: Twodimensional model simulation of channel migration processes in West Jordan River, Utah. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 134(3), 315327.
 Duan, J. G., & Barkdoll, B. D. (2008). Surfacebased fractional transport predictor: Deterministic or stochastic. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 134(3), 350353.
 Zhong, D. Y., & Duan, J. G. (2008). Analytical approach to calculate rate of bank erosion  Closure. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 134(2), 281282.
 Zhong, D. Y., & Duan, J. G. (2008). Closure to “Analytical Approach to Calculate Rate of Bank Erosion” by J. G. Duan. Journal of Hydraulic Engineering, 134(2), 281282. doi:10.1061/(asce)07339429(2008)134:2(281)
 Duan, J. G., & Scott, S. (2007). Selective bedload transport in Las Vegas Wash, a gravelbed stream. JOURNAL OF HYDROLOGY, 342(34), 320330.
 Chen, D., & Duan, J. D. (2006). Simulating sinegenerated meandering channel evolution with an analytical model. JOURNAL OF HYDRAULIC RESEARCH, 44(3), 363373.
 Duan, J. G. (2006). Closure to " simulation of flow and mass dispersion in meandering channels" by Jennifer G. Duan. Journal of Hydraulic Engineering, 132(3), 341342. doi:10.1061/(asce)07339429(2006)132:3(341)
 Duan, J. G., & Chen, D. (2006). Modeling width adjustment in meandering channels. Journal of Hydrology, 321(1), 5976. doi:10.1016/j.jhydrol.2005.07.034More infoWidening in sinuous channels occurs when the retreat of the outer bank exceeds the advance of the opposite bank. An analytical model is presented to simulate width adjustment in meandering channels of noncohesive bank material resulting from bank erosion of two interactive processes: basal erosion and bank collapse. Bank collapse refers to the avalanche of noncohesive material in the upper part of bank above water surface resulting from oversteepening of the bank surface due to basal erosion. The rate of basal erosion, including lateral erosion and bed degradation, is calculated as a function of the longitudinal gradient of sediment transport rate and strength of secondary flow. The transverse bed slope is treated as a variable that increases as channel sinuosity increases until the transverse bed slope reaches its maximum value. By simplifying the bankcollapse process for noncohesive materials, the present study shows that the rate of bankline retreat is determined by lateral erosion rate, nearbank beddegradation rate, sediment grain size, and difference between flow depth and bank height. The timedependent widening processes of two meandering channels in the laboratory are selected to test applicability of the model. The result shows that the simulated bank lines at individual time intervals closely match the experimental measurements. Whether the sinuosity of a meandering channel will increase or decrease is primarily determined by didtribution of the lngitudinal gradient of sediment transport rate along the channel.
 Duan, J. G., & Nanda, S. K. (2006). Twodimensional depthaveraged model simulation of suspended sediment concentration distribution in a groyne field. JOURNAL OF HYDROLOGY, 327(34), 426437.
 Duan, J. G., Barkdoll, B., & French, R. (2006). Lodging velocity for an emergent aquatic plant in open channels. JOURNAL OF HYDRAULIC ENGINEERINGASCE, 132(10), 10151020.
 Duan, J. G., Chen, L. i., & Scott, S. (2006). Application of surfacebased bed load transport equations to a desert gravelbed stream. JOURNAL OF HYDRAULIC RESEARCH, 44(5), 624630.
 Duan, J. G. (2005). Analytical Approach to Calculate Rate of Bank Erosion. Journal of Hydraulic Engineering, 131(11), 980990. doi:10.1061/(asce)07339429(2005)131:11(980)More infoBank erosion consists of two processes: basal erosion due to fluvial hydraulic force and bank failure under the influence of gravity. Because bank resistance force varies with the degree of saturation of bank material, the probability of bank failure is the probability of the driving force of bank failure being greater than the bank resistance force. The degree of saturation of bank material increases with river stage; therefore, the frequency of bank failure is correlated to the frequency of flooding. Consequently, the rate of bank erosion is due to both basal erosion and bank failure, and bank failure is a probabilistic phenomenon. In this paper, for cohesive bank material experiencing planar bank failure, a deterministic approach was adopted for basal erosion analysis, whereas the probability of bank failure was included in the analysis of bank failure. A method for calculating the rate of bank erosion was derived that integrates both basal erosion and bank failure processes, and accounts for the effects of hydraulic force, bank geometry, bank material properties, and probability of bank failure.
 Julien, P. Y., & Duan, J. G. (2005). Numerical simulation of the inception of channel meandering. Earth Surface Processes and Landforms, 30(9), 10931110. doi:10.1002/esp.1264More infoThe inception of channel meandering is the result of the complex interaction between flow, bed sediment, and bank material. A depthaveraged twodimensional hydrodynamic model is developed to simulate the inception and development of channel meandering processes. The sediment transport model calculates both bedload and suspended load assuming equilibrium sediment transport. Bank erosion consists of two interactive processes: basal erosion and bank failure. Basal erosion is calculated from a newly derived equation for the entrainment of sediment particles by hydrodynamic forces. The mass conservation equation, where basal erosion and bank failure are considered source terms, was solved to obtain the rate of bank erosion. The parallel bank failure model was tested with the laboratory experiments of Friedkin on the initiation and evolution processes of noncohesive meandering channels. The model replicates the downstream translation and lateral extension of meandering loops reasonably well. Plots of meandering planforms illustrate the evolution of sand bars and redistribution of flow momentum in meandering channels. This numerical modelling study demonstrates the potential of depthintegrated twodimensional models for the simulation of meandering processes. Copyright © 2005 John Wiley & Sons, Ltd.
 Duan, J. G. (2004). Discussion of ''ThreeDimensional CFD Modeling of SelfForming Meandering Channel'' by Nils Reidar B. Olsen. Journal of Hydraulic Engineering, 130(8), 837838. doi:10.1061/(asce)07339429(2004)130:8(837)More infoThe paper presented the computational simulation of a selfforming meandering channel from an initially straight channel with a threedimensional computational fluid dynamics ~CFD! model. The simulated meandering channel wavelength and magnitude are closer to the experimental results ~Friedkin 1945! as compared to the simulated results with an enhanced 2D model ~Duan et al. 2001!. However, the discusser feels that the simulated results will be more convincing if the author explained in detail the approaches in calculating suspended sediment and bedload transport and plotted the simulated velocity vector field and bed topographic configurations shown in Fig. 7. In Eq. ~1!, the author set the suspended sediment diffusion coefficient equal to the eddy viscosity taken from the k‐« model. Studies have shown that the mass diffusion coefficient can be expressed as G5v t /s c , in which v t5eddy viscosity, and s c5turbulent Schmidt number, which represents the ratio of eddy viscosity to eddy diffusivity. A value of s c50.5 has been found suitable in previous calculations of pollutant spreading in an open channel ~Rastogi and Rodi 1978!. Ye and McCorquodale ~1997! have used s c50.15 in the simulation of pollutant dispersion with a depthaveraged 2D model. With respect to suspended sediments, the mass diffusion coefficient is equal to the eddy viscosity only when the Schmidt number equals 1.0, which is not true based on previous studies ~Rastogi and Rodi 1978; Ye and McCorquodale 1997!. In particular, the mass diffusion coefficient for suspended sediments in the vertical direction « z is much larger than that in the horizontal direction and relates to the fluid momentum diffusion ~van Rijn 1984! as follows:
 Duan, J. G. (2004). Simulation of flow and mass dispersion in meandering channels. Journal of Hydraulic Engineering, 130(10), 964976. doi:10.1061/(asce)07339429(2004)130:10(964)More infoThis paper reports the development of an enhanced twodimensional (2D) numerical model for the simulation of flow hydrodynamics and mass transport in meandering channels. The hydrodynamic model is based on the solution of the depthaveraged flow continuity and momentum equations where the density of flow varies with the concentration of transported mass. The governing equation for mass transport model is the depthaveraged convection and diffusion equation. The dispersion terms arisen from the integration of the product of the discrepancy between the mean and the actual vertical velocity distribution were included in the momentum equations to take into account the effect of secondary current. Two laboratory experimental cases, flow in mildly and sharply curved channels, were selected to test the hydrodynamic model. The comparison of the simulated velocity and water surface elevation with the measurements indicated that the inclusion of the dispersion terms has improved the simulation results. A laboratory experiment study of dye spreading in a sinegenerated channel, in which dye was released at the inner bank, centerline, and outer bank, respectively, was chosen to verify the mass transport model. The simulated concentration field indicated that the Schmidt number can be used as a calibration parameter when dispersion is computed using a 2D approach with a simplified turbulence model.
 Miller, J., French, R. H., & Duan, J. G. (2002). The Lodging Velocity for Emergent Aquatic Plants in Open Channels. Journal of The American Water Resources Association, 38(1), 255263. doi:10.1111/j.17521688.2002.tb01549.xMore info: The growth of aquatic plants in openchannels has many adverse environmental effects including, but not limited to, impeding the transport of water, hindering navigation, increasing flood elevations, increasing sediment deposition, and degrading water quality. Existing control strategies include physical removal and chemical treatment. Physical removal is only a temporary solution and chemical treatment is unacceptable if the water will be consumed by humans. The hydrodynamic method can wash out the encroached aquatic plants by keeping flow velocity higher than the critical velocity required to bend and rupture (lodge) their stems. This approach is a promising, physicallybased, efficient, economic, and permanent solution for this problem. However, the success of this approach requires the accurate prediction of the critical lodging velocity. This paper presents an analytic study of the lodging velocity for the submerged portion of aquatic plants of narrow leaved emergent stems that are wider at bottom than the top. Based on the principles of engineering materials and the theory of turbulent flow, a semiempirical formula is derived for the prediction of the critical lodging velocity. It indicates that the lodging of aquatic plants is controlled not only by flow conditions but also the geometric and mechanical characteristics of the plants. These analytic results provide a satisfactory explanation of the lodging phenomena observed in the field and are verified by the available experimental data.
 Duan, J. G. (2001). Numerical Analysis of River Channel Processes with Bank Erosion. Journal of Hydraulic Engineering, 127(8), 702703. doi:10.1061/(asce)07339429(2001)127:8(702)
 Wang, S. S., Jia, Y., & Duan, J. G. (2001). The applications of the enhanced CCHE2D model to study the alluvial channel migration processes. Journal of Hydraulic Research, 39(5), 469480. doi:10.1080/00221686.2001.9628272More infoThis paper is to report a newly developed numericalempirical model, the Enhanced CCHE2D (EnCCHE2D), and its application to simulating the alluvial channel migration phenomena. EnCCHE2D model is ca...
 Duan, G., Jia, Y., & Wang, S. S. (1998). Bed shear stress in sinegenerated channels. International Water Resources Engineering Conference  Proceedings, 2, 13741379.More infoAbstract: In this paper, shear stress on the bed of sinegenerated channels is studied by using a three dimensional hydrodynamic model (CCHE3D). Predictions of the shear stress distribution from CCHE3D are compared with experimental data measured in sinegenerated curved channels. Both the simulation and the measurement show that the distribution pattern of bed shear stress is strongly affected by channel sinuosity, while the magnitude of bed shear stress is a function of channel sinuosity and bed relative roughness.
 Duan, G., Ligeng, L. i., & Wang, S. S. (1998). Twodimensional bank erosion model for noncohesive bank material. International Water Resources Engineering Conference  Proceedings, 2, 13981403.More infoAbstract: Bank erosion happens frequently in alluvial channels, which may cause serious economic and environmental problems, such as land loss, channel sedimentation and property damage. Due to its complexity, even though extensive research has been done in the past, it is still difficult to predict bank erosion. Therefore, a two dimensional numerical model has been developed to simulate the bank erosion processes by using computer. The model is based on a hydrodynamic model CCHE2D developed in the Center for Computational Hydroscience and Engineering, the University of Mississippi. In CCHE2D, depth averaged NavierStokes equations were solved by finite element method to obtain the depth averaged flow properties. Boundary shear stress is calculated by the flow model. From the boundary shear stress, bed load transport rate is computed. Assuming bed load only, the sediment continuity equation is solved numerically. Bank erosion is then related with the vertical erosion at the bank toe. The model has been validated against a physical experiment conducted by Ikeda (1981), and good agreements are observed.
 Duan, G., & Wang, G. (1995). Experimental study on bed forms and flow resistance of lightweight materials with different densities. Journal of Hydrodynamics, 7(1), 5865.More infoAbstract: Experiments were conducted to investigate the bed form and flow resistance of the lightweight sediment in an open channel flow. Three different synthetic materials with specific gravity 1.055, 1.46 and with uniform sizes D50 1.25mm, 1.05mm, 1.40mm were used. Some conclusions were obtained from experimental results and the data of other reliable references. The conclusions indicate that the grain resistance is greatly affected by D50, and the bed form resistance is the function of the downstream slope and height of dune As well as natural sand, Y is not only the function of Y', but also affected by the relative roughness Rb/D50 and the size of used sediment.
Proceedings Publications
 Duan, J. G., & Qi, K. (2023, August). Case study: sediment transport simulation at Munds Draw watersheds. In 40th IAHR Congress, Vienna, Austria.
 Duan, J. G., & Zhou, K. (2023, August). Turbulence flow field and local scour around threepier group. In Proceedings of 40th IAHR Congress, Vienna, Austria.
 Qi, K., & Duan, J. G. (2023, May). Case Study: Surface Runoff Simulation using HMS for Arid Watershed. In 2023 EWRI World Environment and Water Resources Congress: Adaptive Planning and Design in an Age of Risk and Uncertainty., 1, 12421250.
 Shim, J., Shim, J., Jo, H., & Duan, J. G. (2019). APPLICATION OF SMOOTHED PARTICLE HYDRODYNAMICS MODEL TO SIMULATE PIER SCOUR IN LABORATORY DAM BREAK FLOW. In 38th IAHR World Congress  "Water: Connecting the World".
 Duan, J. G., Jo, H., Shim, J., & Ahamed, T. (2018, March). Flood fragility analysis of instream bridges. In SPIE Smart Structures/NDE.
 Zhou, K., Duan, J. G., Rosenberg, A., & Shim, J. (2018, Jan). Application of KINEROS2 for Simulating Surface Runoff and Sediment Yield in Desert Watershed. In 18th World Environmental and Water Resources Congress 2018, 489497.
 Duan, J. G., Jo, H., Jeong, J., Shim, J., & Ahamed, T. (2017, May). Advanced signal processing of sonar measurement for bridge scour monitoring. In the World Environmental and Water Resources Congress.
 Duan, J. G., Poteuck, M., Rosenberg, A., & Zhou, K. (2017). Simulating Watershed Erosion in BMGR Using AGWA Model. In ASCE EWRI 2017 World Environment and Water Resources Congress.
 Ahamed, T., Shim, J., Jo, H., & Duan, G. (2016). Feasibility Test of LowCost Sonar Sensors for Bridge Scour Monitoring. In World Environmental and Water Resources Congress 2016.
 Jo, H., Duan, J. G., & Shim, J. (2016, Spring). Simulating Sediment Transport around a Bridge Pier Using Open FOAM Software. In World Environmental and Water Resources Congress.
 Touhid, A., Shim, J., Jo, H., & Duan, J. G. (2016, Spring). Feasibility Test of Lowcost Sonar Sensors for Bridge Scour Monitoring. In World Environmental and Water Resources Congress.
 Duan, J. G., & Bai, Y. (2015). Using a twodimensional watershed model to estimate flood magnitude and frequency under changing climate. In World Environmental and Water Resources Congress 2015, 11631172.More infoA twodimensional physical based hydrodynamic watershed model, HydroSed2D, was used to estimate the impact of climate change on flood magnitude and frequency in the Upper Santa Cruz River Watershed (USCRW) in the Southern Arizona. Hourly precipitation data from a Regional Climate Model (RCM), Weather Research and Forecasting model (WRF), for three periods, 19902000, 20312040 and 20712079, were used to quantify the impact of climate change on flood. Precipitation outputs from RCMWRF model were biascorrected using observed gridded precipitation data for three periods before directly used in the watershed model. The calibrated watershed model was applied to USCRW for simulating surface flow routing for the selected three periods. Simulated discharges are analyzed to obtain future flood magnitude and frequency curves. Results indicate that flood discharges for different return periods are increased: the discharges of 100year and 200year return period are increased by 3,000 and 4,000 cfs, respectively.
 AlAsadi, K., & Duan, J. G. (2014). ThreeDimensional Simulation of Tidal Flow in Vegetated Marsh Area. In World Environmental and Water Resources Congress 2014.
 Yu, C., & Duan, J. G. (2014). Modeling Meandering Channel by TwoDimensional Shallow Water Equations. In AGU Fall Meeting Abstracts, 1.
 Yu, C., & Duan, J. G. (2014). TwoDimensional Finite Volume Model for Sediment Transport in Unsteady Flow. In World Environmental and Water Resources Congress 2014.
 Duan, J. G. (2013). A Simple Total Sediment Load Formula. In World Environmental and Water Resources Congress 2013, 19421950.More infoPrediction of total sediment load has been a challenge to river engineers for decades. Two approaches are typically used: One is to directly calculate the total sediment load from measured flow and sediment properties, and the other is to separate total sediment load into bed load and suspended load and calculate them independently. Because the criteria that separate bed load and suspended load is still a debatable subject, practical engineers prefer to use the total load equation for estimating sediment load. However, there are more than 31 equations for calculating total sediment load, and the discrepancies of those equations are in the orders of magnitude. To obtain a general equation, this study analyzed more than 4,000 sets of laboratory experimental and 3,000 sets of field measurements of total sediment load. Based on the dimensional analysis, eight new dimensionless parameters are formulated to quantify total sediment load. Correlations of dimensionless total sediment load with those new and other conventional parameters are calculated using the observed data. The highest correlation, 0.94, was found between the dimensionless total sediment load and a new dimensionless parameter, τ* (u*  u*c) / ω , in which u* is shear velocity, ω is settling velocity, and τ* is dimensionless shear stress. A simplified powerlaw relation is formulated from fitting the measured data. This new relation is compared with the commonly used total sediment load relation, such as EngelundHansen (1967), AckersWhite (1972), Yang (1973, 1979). Results showed the new simplified equation yielded the best matches of this set of total sediment load data.
 Duan, J. G., Yu, C., Duan, J. G., & Yu, C. (2013, Sept). Two Dimensional Finite Volume Model for Overland and Channel Flow Simulation. In Proceedings of 35th IAHR conference.
 Shim, J., Shim, J., & Duan, J. G. (2013). Experiment study of bed load particle velocity. In World Environmental and Water Resources Congress 2013, 19621970.
 Duan, J. G., & Acharya, A. (2011). Three dimensional simulation of flow field around series of spur dikes. In World Environmental and Water Resources Congress 2011, 20852094.More infoErosion of the banks and bed of natural and manmade channels is a common problem in water resources management. Spur dikes in rivers and streams such as the Mississippi River are used to prevent bank erosion and to keep the main channel navigable. Scour around these dikes can be a serious problem, weakening structural stability. Threedimensional models are often used in engineering design to determine mean and turbulence flow field around these dikes. However, a universal turbulent model that is valid for all cases of turbulent flow in open channels currently does not exist. Some turbulent closures offer advantages over others in specific turbulent flow fields depending on the nature of turbulence. Therefore, a threedimensional numerical model, FLOW3D, is used to simulate the turbulent flow field around a series of three spur dikes in flat and scoured bed. This study examined one equation mixing length model, standard twoequation e − k model, Renormalization Group (RNG) e − k model and Large Eddy Simulation (LES) model. Experimental data from a laboratory study of flow in a flat bed and scoured bed around a series of three dikes were used to verify the results from the numerical model. Although the simulated mean flow field is close to the experimental data, the simulated turbulence properties from different turbulent model deviate considerably. Modeling results using the standard e − k model showed over 50% discrepancy from the measured turbulent kinetic energy. The RNG e − k model yielded better results of both mean flow field and turbulence kinetic energy for the flat bed surface and scoured bed surface. Based on these results, this study recommends the use of RNG e − k model for simulating mean flow field around dikes. Further improvements of FLOW3D model is needed for predicting turbulence properties (e.g. TKE) near this series of spur dikes under various flow conditions.
 Hummel, R., & Duan, J. G. (2011). Modeling Sediment Transport in the Pantano Wash, Tucson. In World Environmental and Water Resources Congress 2011, 42464254.
 Fu, X., Wang, G., He, L., Fu, X., & Duan, J. G. (2010). Turbulent burst around experimental spur dike.. In World Environmental and Water Resources Congress 2010, 17021711.
 Zhang, S., Strelkoff, T. S., & Duan, J. G. (2010). Simulation of unsteady flow and soil erosion in irrigation furrows.. In World Environmental and Water Resources Congress 2010, 20802089.
 Yeager, M., Duan, J. G., & Acharya, A. (2008). Sediment Sorting around Experimental Spur Dike. In World Environmental and Water Resources Congress 2008, 111.
 Zhang, S., Yaeger, M. A., Duan, J. G., & Acharya, A. (2008). Evaluation of Flow and Sediment Models for the Rillito River. In World Environmental and Water Resources Congress 2008, 110.More infoHydrodynamic and sediment transport models are useful engineering tools for predicting flood flow. Many models such as HECRAS, HEC6, IALLUVIAL, SRH1D were developed for perennial rivers, and may not be suitable to ephemeral rivers in arid and semiarid regions. This paper outlines a comparison study that examined the water surface and bed elevations of a flood event exceeding 100year flood in the Rillito River at Tucson, Arizona. The result of IALLUVIAL2, HECRAS and GSTAR1D models were compared with field survey data. Results showed that IALLUVIAL2, which cannot compute bridge effects, predicted a flood similar to that of the more commonly used HECRAS model, which take bridges into account. Both models underestimated the flooding by about 2 to 4 feet, but accurately predicted the progression of each flood flow. This study also found the most appropriate sediment transport and roughness equations for this particular river are Laursen sediment equation and Manning's relation. The results indicated the need of an appropriate model for predicting flood flows in ephemeral streams for water resource managers, engineers, and urban planners.
 Duan, J. G. (2006). Threedimensional Mean Flow and Turbulence around a Spur Dike. In World Environmental and Water Resource Congress 2006, 19.More infoThis paper presents an experimental study conducted at the St. Anthony Falls Laboratory, University of Minnesota. Flow field at the neighborhood of a spur dike was measured by using a SonTek 10 MHz Acoustic Doppler Velocimeter (ADV). Timehistory of velocities in all three spatial dimensions was recorded at 650 nodes near the dike. The timeaveraged mean velocity and Reynolds stresses were calculated from the measurements. The results showed two counterrotating secondary flow cells formed immediately downstream of the dike. The secondary flow cell at one side of the channel having the dike grows gradually, while the other cell decades until separated flows rejoin. These measurements clearly demonstrated the spatial distributions of turbulent normal stresses and Reynolds stresses. Additionally, bed shear stresses were calculated by using mean flow and turbulence Reynolds stresses. Bed shear stresses calculated by using Reynolds’ stresses are more accurate for approximating bed shear stresses field around the dike.
 Duan, J. G., & Chen, D. (2006). Modeling Channel morphologic Change in the West Jordan River, Utah. In World Environmental and Water Resource Congress 2006, 110.More infoMany existing river morphological models are limited by their inability to account for erodible banks. In this study, the sediment continuity equation was solved to determine the rate of bed degradation and aggradation. The rate of bank erosion was calculated by determining bed degradation, lateral erosion, and bank failure. To be applicable to the West Jordan River, two layers in the bank surface were considered herein. This bank erosion model distinguishes itself from other models by relating bank erosion rate with not only flow but also sediment transport near the bank. Additionally, bank height, slope, vegetation, and thickness of each layer in the bank surface were considered. For the purpose of longterm simulation, decoupling technique is used among the flow, sediment transport, and bank erosion models. Furthermore, a new technique of computational mesh adjustment was also put forward. The developed model was then applied to simulate the processes of meandering migration in the study reach from 1981 to 1992. The reasonable agreements between simulated results and the available observations indicate the capability of this model in simulating channel morphologic change in the West Jordan River, Utah.
 Julien, P. Y., & Duan, J. G. (2006). Numerical simulation of meandering evolution. In World Environmental and Water Resource Congress 2006.More infoA twodimensional depthaveraged hydrodynamic model is developed to simulate the evolution of meandering channels from the complex interaction between downstream and secondary flows, bed load and suspended sediment transport, and bank erosion. The depthaveraged model calculates both bed load and suspended load assuming equilibrium sediment transport and simulates bank erosion with a combination of two interactive processes: basal erosion and bank failure. The mass conservation equation is solved to account for both vertical bedelevation changes as well as lateral migration changes when sediment is removed through basal erosion and bank failure. The numerical model uses deformable elements and a movable grid to simulate the gradual evolution of a nearstraight deformable channel into a highly sinuous meandering channel. The model correctly replicates the different phases of the evolution of free meandering channels in experimental laboratory settings including: (1) downstream and upstream migration; (2) lateral extension; and (3) rotation of meander bends.
 Duan, J. G. (2005). TwoDimensional Model Simulation of Flow Field around Bridge Piers. In Impacts of Global Climate Change, 112.More infoTwodimensional (2D) depthaveraged hydrodynamic model was applied to simulate flow field around a circular pier in clear water. A correction factor was included in the friction term to take account of the effect of streamline curvature due to flow separation and vortex shedding. In this study, 2D model simulates not only the vortex shedding in the turbulence wake but also bed shear stress distribution. The simulated bed shear stress contours were close to experimental measurements and threedimensional (3D) modeling results. Since 2D model is much simpler and requires significantly less computational time than threedimensional model, these results demonstrated that an improved 2D model is a capable tool of simulating bed shear stress distribution around bridge piers. Research in enhancing and applying 2D model to simulating the initiation and development of local scour is still a challenging topic for hydraulic engineers.
 Schwar, M. T., & Duan, J. G. (2003). Modeling of Flow and Sediment Transport at a River Confluence with the EnSed2D model. In World Water & Environmental Resources Congress 2003, 110.More infoThis paper summarized the results of computational modeling study for the confluence of the Kankakee and the Iroquois Rivers. This project aims to study the effectiveness of engineering alternatives on reducing sedimentation at the confluence. The hydraulics and sediment transport patterns of three management scenarios, which are keeping natural situation without engineering structures, constructing three short dikes at the left banks of the Kankakee River, and constructing three longer dikes at the left banks are studied by applying the EnSed2D model. The sediment transported in the Kankakee and the Iroquois Rivers are primarily suspended sediment. Channel bed has a thin layer of bed material, and occasionally bed rocks are exposed. Therefore, this study focused on the simulation of suspended sediment transport in the system. Two methods were applied to simulating suspended sediment deposition and erosion processes. One method assumes that bed material layer is too thin to allow suspended sediment concentration reach equilibrium at the bottom that only deposition occurs, the other method assumes there is a sufficient amount of sediment that can be entrained from channel bed so that the change of bed elevation is the difference between the rate of deposition and entrainment. The simulated results showed that if there is no entrainment, there is no scour in front of the dikes, while if there is an entrainment, the scouring in front of dikes are very apparent. In case of no construction methods, the deposition at the confluence will spread all over the confluence as well as its immediate downstream. The construction of three short dikes will reduce the deposition of suspended sediment at the confluence and facilitate the passage of suspended sediment from the Iroquois River to the Kankakee River. But, the increasing of dike lengths will potentially block flow from the Iroquois River to the Kankakee River, and worsen deposition at the confluence. Therefore, the results of this study recommended that dikes with a reasonable length could be the most costeffective alternative to reduce sedimentation at the confluence. The locations, alignments, and dimensions of these dikes should be determined through another detailed computational modeling study. To insure the mechanical stability and minimize the negative environmental effect of these dikes, flow hydrodynamics and sediment transport at the near dike region should be investigated by applying an advanced computational model or conducting physical laboratory experiment.
 French, R. H., & Duan, J. G. (2001). Simulation of Meandering Channel Migration Processes with an Enhanced TwoDimensional Numerical Model. In Bridging the Gap, 110.
 Duan, J. G. (2000). Assessment of nonpoint source sediment load from the California portion of the Truckee River watershed. In Building Partnerships, 19.
Presentations
 Duan, J. G., & Stahmer, G. (2023, May).
Simulation of Postfire Sediment Transport Using HECRAS Model
. 2023 EWRI World Environment and Water Resources Congress: Adaptive Planning and Design in an Age of Risk and Uncertainty.. Henderson, NV: ASCE EWRI.  Duan, J. G. (2020, 12/2020). Experimental and Computational Fluvial Hydraulics. Invited Web Seminar. Tucson, AZ: School of Civil Engineering, Tianjin University, Tianjin, P.R China.
 Duan, J. G. (2019, 6/2019). Experimental Study of Bed Load Particle Velocity Using Particle Tracking. Invited Seminar. Wuhan, PR China: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, P.R. China.
Poster Presentations
 Meixner, T., Zuckerman, M. P., Duan, J. G., & Crosson, C. (2019, 12/2019). Advances in Green Infrastructure Research, Development, and Community Adoption III. AGU Fall Meeting.
Case Studies
 Duan, J. G., Qi, K., & Stahmer, G. (2022. Watershed Erosion and Sedimentation Assessment of Munds Draw Watershed(p. 67).
Others
 Duan, J. G., & Stahmer, G. (2022, Feb). Sediment Transport Model for Canyon Del Oro Wash. Technical Report, Pima County Regional Flood Control District.