Dr Ben Jarihani joined USC in October 2015 as a post-doctoral Research Associate on a project supported by CSIRO working on catchment hydrology modelling in gully-dominated savanna ecosystems. In this project he is integrating both ground and drone-based Structure from Motion surveys into research that will articulate hydrologic pathways that contribute to gully initiation and expansion. After completing his Bachelor's and Master's degrees in water resource engineering in Iran, Ben worked for a long period as a hydrologic engineer prior to immigrating to Australia. Thereafter he received a degree in GIS then proceeded to complete a PhD in physical geography at UQ in 2015. His PhD research focused on novel applications of remotely sensed data in hydrodynamic modelling of large, dryland catchments of central Australia, which experience episodic flooding, but have sparse data. He also worked on a shorter-term research project on groundwater recharge estimation at UQ, which benefited from his analytical skills related to spatio-temporal data.
Dr Jarhani's excellent skills in GIS and remote sensing also add new dimensions to his research projects in hydrological science. He has developed excellent skills in hydrological modelling in ungagged basins using Geographical Information Systems and remotely-sensed datasets. Ben has experience in acquisition, manipulation, editing, analysis and maintenance of spatial datasets using a range of software products (Google Earth Engine, ERSI ArcGIS Suite, ILWIS GIS, ENVI, ARCHydro GIS, HEC-GEOHMS). He is also an experienced field data collector and has been successful in designing, project management, establishment, calibration and maintenance of hydrological monitoring systems.
He is passionate about his work in hydrological science and has published three publications from his PhD in Journal of Hydrology and numerous parers are prepared or are in progress from his USC-CSIRO project. He has involved in teaching and student supervision during his PhD and postdoc programs.
- American Geoscience Union (AGU)
- European Geoscience Union (EGU)
- Asia Oceania Geoscience Society (AOGS)
- International Association of Hydrological Sciences (IAHS)
- International Water Management Institute (IWMI)
- The Surveying & Spatial Sciences Institute (SSSI)
- Engineers Australia (EA)
- Outstanding Student Poster (OSP) Award 2011 in Hydrological Science from EGU
- The University of Queensland Research Scholarship (UQRS), 2011-2014
- The Integrated Natural Resource Management (INRM) top-up scholarship (CSIRO), 2011-2014
Potential research projects for HDR and Honours students
- Hydrological processes and modelling
- GIS and remote sensing applications in natural resources management
- Hydrodynamic modelling of river and estuaries
- UAVs application in hydrology and environmental studies
- Jarihani, B.; Sidle, R.C.; Bartley, R.; Roth, C.H.; Wilkinson, S.N. Characterisation of Hydrological Response to Rainfall at Multi Spatio-Temporal Scales in savannas of Semi-Arid Australia. Water 2017, 9, 540. (doi:10.3390/w9070540).
- Jarihani, A.A., Larsen, J.R., Callow, J.N. and McVicar, T.R. Johansen K. (2015) Where does all the water go? Partitioning water transmission loss in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing. Journal of Hydrology. vol 529, pp. 1511-1529. DOI: 10.1016/j.jhydrol.2015.08.030.
- Jarihani, A.A., Callow, J.N., McVicar, T.R., Van Niel, T.G., and Laren, J. (2015) Satellite-derived digital elevation model (DEM) selection, preparation and correction for hydrodynamic modelling in large, low gradient and data-sparse catchments. Journal of Hydrology. 524, 489-506, doi: 10.1016/j.jhydrol.2015.02.049.
- Jarihani, A.A., McVicar, T.R., Van Niel, T.G., Emelyanova, I.V., Callow, J.N. and Johansen, K. (2014) Blending Landsat and MODIS data to generate multispectral indices: A comparison of 'Index-then-Blend' and 'Blend-then-Index' approaches. Remote Sensing. 6(10), 9213-9238. doi: 10.3390/rs6109213.
- Jarihani, A., Callow, J.N., Johansen, K., Gouweleeuw, B., 2013. Evaluation of multiple satellite altimetry data for studying inland water bodies and river floods. Journal of Hydrology, 505(0): 78-90. doi: 10.1016/j.jhydrol.2013.09.010.
|Project name||Investigator(s)||Funding body||Year||Focus|
|Erosion and sediment control program; landslide and trial network investigation and options analysis||Roy Sidle, Ben Jarhani||Seqwater ($95k)||2017/2018||Landslip is a key source of turbidity to source waters and Seqwater is seeking improved understanding of the management of these sources. The objective of this project is to understand the erosion processes and sediment sources in three selected study site Lake Baroon Catchment Maleny, Poona Sam Image Flat and Mt Crosby Reserve Kholo.|
Current research projects
- CSIRO - USC Strategic Project on "Modelling land us change impacts on runoff: an improved model of runoff and erosion for grazing systems in Northern Australia" (Oct 2015 - Mar 2018);
- SEQWATER - USC project on "Erosion and sediment control program landslip and trail network investigation and options analysis", Sunshine Coast area (2017-2018).
Past research projects
- Developing remotely-sensed data approaches to studying hydrological processes in data-poor dryland landscapes.