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Katelyn Johnson
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Methods for the estimation of extreme rainfall events
KA Johnson, JC Smithers
Water SA 45 (3), 501-512, 2019
112019
A review of methods to account for impacts of non-stationary climate data on extreme rainfalls for design rainfall estimation in South Africa
KA Johnson, JC Smithers, RE Schulze
Journal of the South African Institution of Civil Engineering 63 (3), 55-61, 2021
62021
Updating the estimation of 1-day probable maximum precipitation in South Africa
KA Johnson, JC Smithers
Journal of Hydrology: Regional Studies 32, 100736, 2020
42020
Integrated knowledge systems towards flood resilience and sustainable solid waste management in South African urban informal settlements
K Johnson, A Nyamwanza
EGU24, 2024
2024
Detecting Trends In Hydrological Extremes And Non-Stationary Extreme Value Analysis Of Flood Data In Kwazulu-Natal, South Africa
DV Mukansi, J Smithers, K Johnson, T Kjeldsen, M Mutema
EGU24, 2024
2024
Identifying the pathways of extreme rainfall in South Africa using storm trajectory analysis and unsupervised machine learning techniques
R Phillips, KA Johnson, AP Barnes, TR Kjeldsen
Journal of Hydroinformatics 26 (1), 162-174, 2024
2024
Identifying the Origins of Extreme Rainfall in South Africa Using Storm Trajectory Analysis and Unsupervised Machine Learning Techniques
R Philips, K Johnson, AP Barnes, TR Kjeldsen
2022
Estimation of Extreme Rainfall in South Africa and Development of Methods to Account for Non-stationary Climate Data
K Johnson, J Smithers
EGU General Assembly Conference Abstracts, 3326, 2020
2020
Estimation of Extreme Design Rainfall Events and Accounting for Non-Stationary Data in Design Rainfall Estimation in South Africa
K Johnson, J Smithers
EGU General Assembly Conference Abstracts, 13322, 2018
2018
Beach water quality: a comprehensive analysis of the pathogenic pollution of the Durban coastline.
KA Johnson
2016
Estimation of Extreme Design Rainfall Events and Accounting for Non-Stationary Data in Design Rainfall Estimation
KA Johnson, JC Smithers
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Articles 1–11