Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review
Research on hydrological extremes has increased due to their increasing frequency and destructive power, with their non-stationarity attributed to human activities and climate change. To understand current advances in analyzing extremes, a systematic review of online literature was conducted using P...
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KeAi Communications Co., Ltd.
2025-01-01
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| Series: | HydroResearch |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589757824000568 |
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| author | Maximo Basheija Twinomuhangi Yazidhi Bamutaze Isa Kabenge Joshua Wanyama Michael Kizza Geoffrey Gabiri Pascal Emanuel Egli |
| author_facet | Maximo Basheija Twinomuhangi Yazidhi Bamutaze Isa Kabenge Joshua Wanyama Michael Kizza Geoffrey Gabiri Pascal Emanuel Egli |
| author_sort | Maximo Basheija Twinomuhangi |
| collection | DOAJ |
| description | Research on hydrological extremes has increased due to their increasing frequency and destructive power, with their non-stationarity attributed to human activities and climate change. To understand current advances in analyzing extremes, a systematic review of online literature was conducted using PRISMA framework. The review covered several aspects of analysis considered in literature like time series types, non-stationarity detection techniques, frequency analysis (FA) category, probability distribution types, covariates used, parameter estimation and model selection techniques. Results indicate that AMS (71.7 %), Mann-Kendall non-stationarity detection test (70.8 %), GEV distribution (41.4 %), ML parameter estimation (34.6 %) and model selection AIC (30.0 %) were mostly applied. Non-stationary alongside stationary FA was carried out most (82 %) and non-stationary models outperformed the stationary ones. Time was used as a covariate in most studies (50.5 %) compared to anthropogenic (7.1 %), local-scale (11.4 %) and large-scale (31.0 %) climate covariates. Effective hydrological extremes management requires an understanding of their non-stationarity in a changing environment. |
| format | Article |
| id | doaj-art-315dcc9c080240329a510f14bf8d048d |
| institution | Kabale University |
| issn | 2589-7578 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | HydroResearch |
| spelling | doaj-art-315dcc9c080240329a510f14bf8d048d2025-01-11T06:41:52ZengKeAi Communications Co., Ltd.HydroResearch2589-75782025-01-018332350Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic reviewMaximo Basheija Twinomuhangi0Yazidhi Bamutaze1Isa Kabenge2Joshua Wanyama3Michael Kizza4Geoffrey Gabiri5Pascal Emanuel Egli6Department of Geography, Geo-informatics and Climatic Sciences, College of Agriculture and Environmental Sciences, Makerere University, Kampala, P.O. Box 576, Uganda; Corresponding author.Department of Geography, Geo-informatics and Climatic Sciences, College of Agriculture and Environmental Sciences, Makerere University, Kampala, P.O. Box 576, UgandaDepartment of Agriculture and Bio-systems Engineering, College of Agriculture and Environmental Sciences, Makerere University, Kampala, P.O. Box 576, UgandaDepartment of Agriculture and Bio-systems Engineering, College of Agriculture and Environmental Sciences, Makerere University, Kampala, P.O. Box 576, UgandaNile Basin Initiative, P.O Box 192, Entebbe, Uganda Plot 12, Mpigi Road, Entebbe, UgandaKyambogo University, P.O. Box 1, Kyambogo, UgandaInstitute of Geography and Social Anthropology, Norwegian University of Science and Technology, Edvard Bulls Veg 1, 7049 Trondheim, NorwayResearch on hydrological extremes has increased due to their increasing frequency and destructive power, with their non-stationarity attributed to human activities and climate change. To understand current advances in analyzing extremes, a systematic review of online literature was conducted using PRISMA framework. The review covered several aspects of analysis considered in literature like time series types, non-stationarity detection techniques, frequency analysis (FA) category, probability distribution types, covariates used, parameter estimation and model selection techniques. Results indicate that AMS (71.7 %), Mann-Kendall non-stationarity detection test (70.8 %), GEV distribution (41.4 %), ML parameter estimation (34.6 %) and model selection AIC (30.0 %) were mostly applied. Non-stationary alongside stationary FA was carried out most (82 %) and non-stationary models outperformed the stationary ones. Time was used as a covariate in most studies (50.5 %) compared to anthropogenic (7.1 %), local-scale (11.4 %) and large-scale (31.0 %) climate covariates. Effective hydrological extremes management requires an understanding of their non-stationarity in a changing environment.http://www.sciencedirect.com/science/article/pii/S2589757824000568StationarityNon-stationarityHydrological extremesFrequency analysisCovariates |
| spellingShingle | Maximo Basheija Twinomuhangi Yazidhi Bamutaze Isa Kabenge Joshua Wanyama Michael Kizza Geoffrey Gabiri Pascal Emanuel Egli Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review HydroResearch Stationarity Non-stationarity Hydrological extremes Frequency analysis Covariates |
| title | Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review |
| title_full | Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review |
| title_fullStr | Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review |
| title_full_unstemmed | Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review |
| title_short | Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review |
| title_sort | analysis of stationary and non stationary hydrological extremes under a changing environment a systematic review |
| topic | Stationarity Non-stationarity Hydrological extremes Frequency analysis Covariates |
| url | http://www.sciencedirect.com/science/article/pii/S2589757824000568 |
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