Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management
Study region: Botswana, Southern Africa Study focus: The study explores the utility of newer trend analysis methods, such as the innovative trend analysis method (ITA), to identify trends in seasonal and annual rainfall data using long-term rainfall data in Botswana. The results were compared with t...
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Elsevier
2025-04-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825000412 |
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| author | P.K. Kenabatho |
| author_facet | P.K. Kenabatho |
| author_sort | P.K. Kenabatho |
| collection | DOAJ |
| description | Study region: Botswana, Southern Africa Study focus: The study explores the utility of newer trend analysis methods, such as the innovative trend analysis method (ITA), to identify trends in seasonal and annual rainfall data using long-term rainfall data in Botswana. The results were compared with those from traditional methods (TMs), such as the Mann-Kendall (MK) test and Sen’s slope (SS) methods. The utility of the ITA method has not been explored in Botswana and Southern Africa. Furthermore, rainfall variability is evaluated using the precipitation concentration index (PCI) method. New hydrological insights for the region: The results reveal that most rainfall data show trends when using the ITA method than the TMs for both seasonal rainfall (December-February, DJF), (March-May, MAM), (September-November, SON) and annual rainfall data. Significant trends were detected as follows: The ITA (TMs) returned 81.3 (0) % for annual rainfall, 43.8 (0) % for DJF, 75.0 (12.5) % for MAM, and 75.1 (0) % for SON rainfall, respectively, indicating the superiority of ITA over the TM methods, which is consistent with the literature. For example, the TMs did not reveal any significant increase in annual rainfall in the study area, while the ITA methods identified 19 % of the stations with increased annual rainfall. Furthermore, the TMs did not reveal any decline in annual rainfall compared to 63 % from the ITA, and the pattern is also evident in the seasonal rainfall. The ITA results, therefore, show that rainfall in Botswana has changed significantly from what was previously reported from the TMs. Specifically, most stations showing increased (decreased) rainfall are from the Kgalagadi (southern/northern) regions. The negative changes may adversely affect the availability and sustainability of water resources in these regions, and the effects of climate change could further worsen these. |
| format | Article |
| id | doaj-art-2fda19e235364239951165c25db3fce3 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-2fda19e235364239951165c25db3fce32025-02-07T04:47:36ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-04-0158102217Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources managementP.K. Kenabatho0Department of Environmental Science, University of Botswana, P/Bag UB 00704, Gaborone, BotswanaStudy region: Botswana, Southern Africa Study focus: The study explores the utility of newer trend analysis methods, such as the innovative trend analysis method (ITA), to identify trends in seasonal and annual rainfall data using long-term rainfall data in Botswana. The results were compared with those from traditional methods (TMs), such as the Mann-Kendall (MK) test and Sen’s slope (SS) methods. The utility of the ITA method has not been explored in Botswana and Southern Africa. Furthermore, rainfall variability is evaluated using the precipitation concentration index (PCI) method. New hydrological insights for the region: The results reveal that most rainfall data show trends when using the ITA method than the TMs for both seasonal rainfall (December-February, DJF), (March-May, MAM), (September-November, SON) and annual rainfall data. Significant trends were detected as follows: The ITA (TMs) returned 81.3 (0) % for annual rainfall, 43.8 (0) % for DJF, 75.0 (12.5) % for MAM, and 75.1 (0) % for SON rainfall, respectively, indicating the superiority of ITA over the TM methods, which is consistent with the literature. For example, the TMs did not reveal any significant increase in annual rainfall in the study area, while the ITA methods identified 19 % of the stations with increased annual rainfall. Furthermore, the TMs did not reveal any decline in annual rainfall compared to 63 % from the ITA, and the pattern is also evident in the seasonal rainfall. The ITA results, therefore, show that rainfall in Botswana has changed significantly from what was previously reported from the TMs. Specifically, most stations showing increased (decreased) rainfall are from the Kgalagadi (southern/northern) regions. The negative changes may adversely affect the availability and sustainability of water resources in these regions, and the effects of climate change could further worsen these.http://www.sciencedirect.com/science/article/pii/S2214581825000412BotswanaInnovative trends methodsClimate changeRainfall analysisWater resources allocationsPrecipitation concentration index |
| spellingShingle | P.K. Kenabatho Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management Journal of Hydrology: Regional Studies Botswana Innovative trends methods Climate change Rainfall analysis Water resources allocations Precipitation concentration index |
| title | Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management |
| title_full | Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management |
| title_fullStr | Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management |
| title_full_unstemmed | Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management |
| title_short | Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management |
| title_sort | innovative trend analysis of long term spatial temporal rainfall patterns over botswana implications for water resources management |
| topic | Botswana Innovative trends methods Climate change Rainfall analysis Water resources allocations Precipitation concentration index |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825000412 |
| work_keys_str_mv | AT pkkenabatho innovativetrendanalysisoflongtermspatialtemporalrainfallpatternsoverbotswanaimplicationsforwaterresourcesmanagement |