Ecohydraulics Community News

Leadership Team Elections

It is time for our biennial elections to our IAHR Ecohydraulics Technical Committee Leadership Team. Details on our election procedure are provided at our elections webpage.

Elections are now closed and here are the results:

1. Vice chair:
   • Heide Friedrich (The University of Auckland, New Zealand)
2. Leadership team members for North America region:
   • Daniele Tonina (University of Idaho, United States of America)
   • Rafael O. Tinoco (University of Illinois At Urbana Champaign, United States of America)
3. Leadership team members for Europe region:
   • Roser Casas-Mulet (Technische Universitat Munchen, Germany)
   • Davide Vanzo (ETH Zurich, Switzerland)
4. Leadership team member for Asia Pacific Region:
   • Mengzhen Xu (Tsinghua University, China)

2 Postdoctoral Positions in Linking Catchment Scale Geomorphic Processes, Channel Morphology, and Ecohydraulics across California

The University of California, Davis and Utah State University invite applications for two postdoctoral positions with an initial 12-month appointment (with the possibility of a second year extension pending performance) to research linkages between catchment terrains, river archetypes, and ecohydraulics. River corridor patterns and features such as channel bed and width undulations influence hydro-geomorphic dynamics and dependent river ecosystem functions. Prediction of these channel elements and their relationships with larger geospatial controls across a range of scales is an important scientific problem with societal ramifications.

The multi-institution project team is working with natural resource managers in the State of California to design environmental flows that support ecological processes across the diversity of hydro-geomorphic settings and river ecosystems in the region. For a region of this size, it is essential to ascertain ways of using information from data rich locations and spatial scales to inform those that are data poor using targeted data collection and appropriate modeling techniques. We have already collected reach-scale geomorphic information at nearly 1000 field sites across nine water management regions in California. In addition, California has growing airborne LiDAR coverage of river corridors for “riverscape” investigations at both high resolution and large area. The postdoctoral candidate(s) will use a range of numerical and statistical techniques (e.g. hydrodynamic modeling, LiDAR data processing, coding, and data-science modeling) to extract geomorphic and ecohydraulic insights that can guide development of environmental flows. The successful candidate will interact directly with diverse researchers, stakeholders, and natural resources managers.

Candidates must have a PhD in Geomorphology, Hydrology, Civil Engineering, Applied Mathematics, Statistics, Physical Geography, or related fields. Extensive knowledge in fluvial geomorphology, geospatial and statistical analysis, and computer programming are highly preferred. Proven experience with open-source computing resources as well as excellent data management skills and a journal publication track record are also desired. Rank and salary will be commensurate with experience.

Deadline: 22 June 2020

Project website: https://eflows.ucdavis.edu

To apply, please send cover letter, CV, and contact information for three references to Prof. Samuel Sandoval by e-mail at samsandoval@ucdavis.edu.

Latest Project Publications:

• Lane, B., Ortiz-Partida, J.P., & Sandoval-Solis, S. 2020. “Extending water resources performance metrics to river ecosystems.” Ecological Indicators, 114, 106336.
• Byrne, C., Pasternack, G., Guillon, H., Lane, B., Sandoval, S. 2020 “Reach-scale bankfull channel types can exist independently of catchment hydrology,” Earth Surface Processes and Landforms.
• Guillon, H., Byrne, C., Lane, B., Sandoval Solis, S., & Pasternack, G. 2020. “Machine learning predicts reach‐scale channel types from coarse‐scale geospatial data in a large river basin,” Water Resources Research.
• ​Patterson, N. K., Lane, B. A., Sandoval-Solis, S., Pasternack G. B., Yarnell, S. M., Qiu, Y. 2020. A hydrologic feature detection algorithm to quantify seasonal components of flow regimes. Journal of Hydrology 585: 124787. DOI: 10.1016/j.jhydrol.2020.124787.

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