PhD STUDENT
Udhav Maharaj
Position: PhD Student
Discipline: Hydrology
Centre: Centre for Water Resources Research (CWRR)
School: School of Agricultural, Earth and Environmental Sciences
Campus: Agriculture Campus
Room no./Building: Room 218 Rabie Saunders Building
Telephone: +27 82 452 0600
Email: 214500819@stu.ukzn.ac.za
Biography
I completed my undergraduate degree in Agricultural Engineering. Thereafter, I pursued a MSc-Eng focused on parameter estimation for hydrological modeling. The key results from the MSc-Eng were techniques to derive curve numbers for the SCS-SA model. My PhD research is focused on uncertainty estimation for hydrological modeling. I have received the SANCOLD and NRF innovation scholarships during my postgraduate studies and I also tutored and lectured various modules at the University of KwaZulu-Natal.
Qualifications
BSc-Eng, MSc-Eng (Cum Laude)
Current Research Projects
Improved performance of the SCS-SA model and development of a framework for uncertainty estimation for design flood estimation in South Africa using the SCS-SA model as a case study (PhD study).
Recently Completed Projects (2020-23)
Further Development, Updating and Assessment of the SCS-SA Model for Design Flood Estimation in South Africa Using a Continuous Simulation Approach (WRC Project Number K5/2926).
An Assessment of the Performance of Published and Derived SCS Curve Numbers for Design Flood Estimation in South Africa (MSc-Eng dissertation).
Hobbies and Interests
My hobbies and interests include reading, hiking, visiting new places and playing mobile games.
Five recent publications
- Maharaj, U and Smithers, J. 2022. A review of Uncertainty Estimation Techniques and the Development of Probabilistic Curve Numbers Applicable to design Flood Estimation in South Africa: Preliminary Results. In: ed. Blaeser, M, Proceedings of the Annual SANCOLD 2022 Conference: Evolving Dams in a Climate of Change, 247-258. SANCOLD, Pretoria, RSA.
- Maharaj, U, Smithers, J and Rowe, T. 2021. Performance of Derived and Derived SCS Curve Numbers for Design Flood Estimation in South Africa: Overview of Results. In: ed. Blaeser, M, Proceedings of the Annual SANCOLD 2021 Conference: Resilient Dams in a Challenging Environment, 145-156. SANCOLD, Pretoria, RSA.
- Maharaj, U and Smithers, J. 2021. Developing a Methodology to Quantify the Uncertainty Associated with Event-Based Rainfall-Runoff Design Flood Estimation Methods Applied in South Africa. In: ed. Blaeser, M, Proceedings of the Annual SANCOLD 2021 Conference: Resilient Dams in a Challenging Environment, 157-166. SANCOLD, Pretoria, RSA.
- Smithers, J, Rowe, T, Schulze, R, Mabila, N, Dlamini, N, Maharaj, U and Ramlall, R. 2021. Further Development, Updating and Assessment of the SCS-SA Model for Design Flood Estimation in South Africa Using a Continuous Simulation Approach. WRC Project Number K5/2926. Water Research Commission, Pretoria, RSA.
- Maharaj, U. 2021. An Assessment of the Performance of Published and Derived SCS Curve Numbers for Design Flood Estimation in South Africa Unpublished MSc thesis, School of Bioresources Engineering, University of KwaZulu-Natal, Pietermaritzburg, RSA.
