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Abdulghani Hasan

Abdulghani Hasan
Extensive experience in large-scale hydrologic modelling, GIS, urban flooding simulation and analysis, flood planning and mitigation, water resources engineering, dams and hydraulic structures, GIS algorithms and programming.


I have a PhD in Hydrology and GIS from Lund University and a Master's degree in Water Resources Engineering. I currently work as a lecturer at SLU, previously I have worked at various national and international institutions and universities. I have been a lecturer, examiner and course coordinator for several courses at Bachelor, Master and PhD level. I have also been a supervisor and examiner for a number of bachelor's and master's theses. My current research is mainly focused on the development of new GIS algorithms, spatial planning, multi-criteria analysis, large-scale hydrological modelling, and hydraulic modelling to reduce urban flooding through sustainable, natural, and environmentally friendly solutions.

I have participated in national and international research projects and published peer-reviewed ISI publications. I have also received several grants for research projects and fieldwork. Research innovation: the development of a new surface flow distribution algorithm, the "Triangular Multiple Flow Algorithm (TFM)".


Courses at SLU

Lecturer in the course Advanced Digital Landscape Analysis with GIS


Previous courses at Lund University and others

Teaching courses in the undergraduate level – Bachelor courses

•       Bachelor degree project (NGEK01)

•       Geographical Information Systems, advanced (NGEA12)

•       Theory and Methods of Physical Geography (NGEA07)

•       Geographical Information Systems, introduction (GISA21)

•       Bachelor thesis in Geographic Information Technology (EXTL01)


Teaching courses in the graduate level – Master courses

•       Geographical Information Systems, advanced (GISA22) Course coordinator

•       GIS in Physical planning (GISN14) Course coordinator

•       Algorithms in GIS, (NGEN06 / TEK230)

•       Geographical databases (NGEN12 / EXTN70) 

•       Programming for Applications in Geomatics, Physical Geography, and Ecosystem Science, (NGEN13)

•       GIS and Remote Sensing in Distributed Environmental Modelling (NGEN05)

•       Master Degree Project (NGEM01) 

•       GIS and Climate Change (GISN22)

•       Master thesis project, iGEON (GISM01)

•       GIS and Distributed Hydrological Modelling (GISN26)

•       Dams and hydraulic structures design (ENGB18)


Teaching courses in the graduate level – Ph.D. courses

•       Ph.D. course in GIS for LTH Architecture (PhDGIS1)


Other courses

•       HYPE Model intensive short course at SMHI

•       GIS - En introduktion för lärare (NGEA23)


My current research focuses on developing hydrologic and hydraulic models for innovative, sustainable, nature-based solutions in the built and natural environment. I am also interested in using drone scan data, multi-criteria analysis, and artificial intelligence (AI) to find new solutions for GIS land surface processes and landscape design.

I have worked as a postdoctoral researcher in the Hydrological Research Department of the Swedish Metrological and Hydrological Institute (SMHI) to further develop the Swedish model for hydrological predictions for the environment (HYPE).

- Principal investigator in several national and international research projects.

- Innovative sustainable drainage solutions in urban environments.

- Developed new innovative mathematical models (TFM-Flood) to simulate runoff, infiltration and evaporation to support the development of sustainable solutions.


I have been the main supervisor of more than 16 bachelor and master theses and examiner for more than 14 bachelor and master theses of national and international students studying at Lund University.

Selected publications

1.    Nilsson, H., Pilesjö, P., Hasan, A., & Persson, A. (2021). Dynamic spatio‐temporal flow modeling with raster DEMs. Transactions in GIS.

2.    Petter Pilesjö, and Abdulghani Hasan, 'A Triangular Form-Based Multiple Flow Algorithm to Estimate Overland Flow Distribution and Accumulation on a Digital Elevation Model', Transactions in GIS, 18 (2014), 108-24.

3.    Abdulghani Hasan. Water security in the Middle-East, Setup a pilot HYPE Model for the Tigris and Euphrates River Basin’. American geophysical union AGU Dec. (2019). San Francisco, California, USA.

4.    Abdulghani Hasan, Petter Pilesjö, and Andreas Persson, 'On Generating Digital Elevation Models from Lidar Data – Resolution Versus Accuracy and Topographic Wetness Index Indices in Northern Peatlands', Geodesy and Cartography, 38 (2012), 57-69.

5.    Arheimer, B., Pimentel, R., Isberg, K., Andersson, J. C. M., Hasan, A., and Pineda, L.: Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation, Hydrol. Earth Syst. Sci., 24, 535–559,, 2020.

6.    L. Crochemore, K. Isberg, R. Pimentel, L. Pineda, A. Hasan & B. Arheimer: Lessons learnt from checking the quality of openly accessible river flow data worldwide, Hydrological Sciences Journal, DOI: 10.1080/02626667.2019.1659509, 2019.

7.    Persson, A., Hasan, A., Tang, J. and Pilesjö, P. (2012), 'Modelling Flow Routing in Permafrost Landscapes with Twi: An Evaluation against Site-Specific Wetness Measurements'. Transactions in GIS, 16: 701-713.

Patrik Vestin, Meelis Mölder, Natascha Kljun, Zhanzhang Cai, Abdulghani Hasan, Jutta Holst, Klemedtsson, L. & Anders Lindroth. Impacts of Clear-Cutting of a Boreal Forest on Carbon Dioxide, Methane and Nitrous Oxide Fluxes., In: Forests. 11, 9, p. 961 28 p., 11. 2020.


Lecturer at the Department of Landscape Architecture, Planning and Management
Telephone: +4640415417
Postal address:
Box 190
234 22 Lomma
Visiting address: Slottsvägen 5, Alnarp, Alnarp