testing

Locations

Boise

Center for Ecohydraulics Research
Phone: (208) 364-6164
Fax: (208) 332-4425
Email: CER@uidaho.edu

Idaho Water Center
322 E. Front Street
Suite 340
Boise, ID 83702

Distance Education

Engineering Outreach
Phone: (208) 885-6373
Toll-free: (800) 824-2889
Fax: (208) 885-9249
E-mail: outreach@uidaho.edu

eo.uidaho.edu

Rohan Benjakar

Rohan Benjankar


Office: Center for Ecohydraulics Research
Phone: 208-284-8472
Email: rohanb@uidaho.edu
Mailing Address: 322 E. Front Street
Suite 340
Boise, Idaho 83702

College of Engineering
Postdoctoral Researcher

Campus Locations: Boise, Idaho

  • Research/Focus Areas
    • Use of hydrodynamic models in surface water modeling
    • Hydrological alteration and impacts on riparian and aquatic habitat
    • Floodplain fluvial processes
    • Floodplain vegetation succession
    • Physical habitat restoration (aquatic and floodplain vegetation)
    • River and floodplain restoration
    • Future impacts of climate variability on aquatic and riparian habitats
  • Biography

    Dr. Benjankar joined Center for Ecohydraulics research, University of Idaho, Boise, ID as a Postdoctoral Researcher in August 2009. His experience spans several focus areas within water resources engineering, with particular emphasis on floodplain physical processes, riparian vegetation, aquatic habitat and river restoration. His primary study area has been the Kootenai River in North Idaho and South Fork Boise River located in the Central Idaho, where he has constructed several one- and two-dimensional hydrodynamic and ecological models to represent the prevailing physical processes (e.g., flow depth, velocity, shear stress, flood duration, and stream temperature) over a large floodplain and river channel, to evaluate how altered processes influence habitat (riparian and aquatic) conditions. Development of a riparian vegetation succession model as part of his dissertation to aid in analysis of ecological impact of hydrological alteration and in planning of future restoration actions was another focus of his effort.


    Education:

    Ph.D., Civil Engineering, University of Idaho, 2009
    M.Sc., Water Resources Engineering and Management, University of Stuttgart, Germany, 2003
    B.E, Civil Engineering, Tribhuvan, University, Kathmandu, Nepal, 1998

  • Selected Publications
    • Koenig, F., Benjankar, R., Tonina, D., (In Press). Comparison of Hydromorphological Assessment Methods: Application to the Boise River, USA. Journal of Hydrology. http://dx. doi.org/1 0.1016/j.j hydrol.20 13.03.017

    • Egger, G., Politti, E., Garófano-Gómez, V., Blamauer, B., Ferreira, T., Rivaes, R., Benjankar, R, Habersack, H., (In Press). Embodying interactions of riparian vegetation and fluvial processes into a dynamic floodplain model: concepts and applications. Ecohydraulics: an integrated approach. Edited by: Ian Maddock, Atle Harby, Paul Kemp and Paul Wood. Publisher:John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK
    • Benjankar, R., Yager, E.M., (2012). The impact of different sediment concentrations and sediment transport formulas on the simulated floodplain processes. Journal of Hydrology 450-451, 230-243.
    • Benjankar, R., Jorde, K., Yager, E.M., Egger, G., Goodwin, P., Glenn, N.F., (2012). The Impact of River Modification and Dam Operation on Floodplain Vegetation Succession Trends in the Kootenai River, USA. Ecological Engineering 46, 88-97.
    • Egger, G., Politti, E., Woo, H., Cho, K.-H., Park, M., Cho, H.-J., Benjankar, R., Nam, L.J., Lee, H., (2012). A Dynamic Vegetation Model as a Tool for Ecological Impact Assessments of Dam Operation. Journal of Hydro-Environmental Research 6, 151-161.
    • Benjankar, R., Egger, G., Jorde, K., Goodwin, P., Glenn, N., (2011). Dynamic floodplain vegetation model development for the Kootenai River, USA. Journal of Environmental Management 92, 3058-3070
    • Benjankar, R., Glenn, N., Jorde, K., Egger, G., Goodwin, P., (2010). Comparison of Field-Observed and Simulated Map Output from a Dynamic Floodplain Vegetation Model Using Remote Sensing and GIS Techniques. GIScience & Remote Sensing 47, 480-497.