Cargando…
Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania
Inadequate knowledge on actual water availability, have raised social-economic conflicts that necessitate proper water management. This requires a better understanding of spatial–temporal trends of hydro-climatic variables as the main contributor to available water for use by sectors of economy. The...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185529/ https://www.ncbi.nlm.nih.gov/pubmed/37188842 http://dx.doi.org/10.1038/s41598-023-35105-8 |
_version_ | 1785042375544930304 |
---|---|
author | Sigalla, Onesmo Zakaria Valimba, Patrick Selemani, Juma Rajabu Kashaigili, Japhet J. Tumbo, Madaka |
author_facet | Sigalla, Onesmo Zakaria Valimba, Patrick Selemani, Juma Rajabu Kashaigili, Japhet J. Tumbo, Madaka |
author_sort | Sigalla, Onesmo Zakaria |
collection | PubMed |
description | Inadequate knowledge on actual water availability, have raised social-economic conflicts that necessitate proper water management. This requires a better understanding of spatial–temporal trends of hydro-climatic variables as the main contributor to available water for use by sectors of economy. The study has analysed the trend of hydro-climatic variables viz. precipitation, temperature, evapotranspiration and river discharge. One downstream river gauge station was used for discharge data whereas a total of 9 daily observed and 29 grided satellite stations were used for climate data. Climate Hazards Group InfraRed Precipitation was used for precipitation data and Observational-Reanalysis Hybrid was used for Temperature data. Mann–Kendall Statistical test, Sen’s slope estimator and ArcMap Inverse Distance Weighted Interpolation functionality were employed for temporal, magnitude and spatial trend analysis respectively. Results confirmed that, spatially, there are three main climatic zones in the study area viz. Udzungwa escarpment, Kilombero valley and Mahenge escarpment. On temporal analysis, with exception of the declining potential evapotranspiration trend, all other variables are on increase. This is with catchment rates of 2.08 mm/year, 0.05 °C/year, 0.02 °C/year, 498.6 m(3)/s/year and − 2.27 mm/year for precipitation, T(max), T(min), river discharge and PET respectively. Furthermore, rainfalls start late by a month (November) while temperatures picks earlier by September and October for T(max) and T(min) respectively. Water availability matches farming season. However, it is recommended to improve water resources management practices to limit flow impairment as expansions in sectors of economy are expected. Furthermore, landuse change analysis is recommended to ascertain actual trend and hence future water uptake. |
format | Online Article Text |
id | pubmed-10185529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101855292023-05-17 Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania Sigalla, Onesmo Zakaria Valimba, Patrick Selemani, Juma Rajabu Kashaigili, Japhet J. Tumbo, Madaka Sci Rep Article Inadequate knowledge on actual water availability, have raised social-economic conflicts that necessitate proper water management. This requires a better understanding of spatial–temporal trends of hydro-climatic variables as the main contributor to available water for use by sectors of economy. The study has analysed the trend of hydro-climatic variables viz. precipitation, temperature, evapotranspiration and river discharge. One downstream river gauge station was used for discharge data whereas a total of 9 daily observed and 29 grided satellite stations were used for climate data. Climate Hazards Group InfraRed Precipitation was used for precipitation data and Observational-Reanalysis Hybrid was used for Temperature data. Mann–Kendall Statistical test, Sen’s slope estimator and ArcMap Inverse Distance Weighted Interpolation functionality were employed for temporal, magnitude and spatial trend analysis respectively. Results confirmed that, spatially, there are three main climatic zones in the study area viz. Udzungwa escarpment, Kilombero valley and Mahenge escarpment. On temporal analysis, with exception of the declining potential evapotranspiration trend, all other variables are on increase. This is with catchment rates of 2.08 mm/year, 0.05 °C/year, 0.02 °C/year, 498.6 m(3)/s/year and − 2.27 mm/year for precipitation, T(max), T(min), river discharge and PET respectively. Furthermore, rainfalls start late by a month (November) while temperatures picks earlier by September and October for T(max) and T(min) respectively. Water availability matches farming season. However, it is recommended to improve water resources management practices to limit flow impairment as expansions in sectors of economy are expected. Furthermore, landuse change analysis is recommended to ascertain actual trend and hence future water uptake. Nature Publishing Group UK 2023-05-15 /pmc/articles/PMC10185529/ /pubmed/37188842 http://dx.doi.org/10.1038/s41598-023-35105-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sigalla, Onesmo Zakaria Valimba, Patrick Selemani, Juma Rajabu Kashaigili, Japhet J. Tumbo, Madaka Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title | Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title_full | Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title_fullStr | Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title_full_unstemmed | Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title_short | Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania |
title_sort | analysis of spatial and temporal trend of hydro-climatic parameters in the kilombero river catchment, tanzania |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185529/ https://www.ncbi.nlm.nih.gov/pubmed/37188842 http://dx.doi.org/10.1038/s41598-023-35105-8 |
work_keys_str_mv | AT sigallaonesmozakaria analysisofspatialandtemporaltrendofhydroclimaticparametersinthekilomberorivercatchmenttanzania AT valimbapatrick analysisofspatialandtemporaltrendofhydroclimaticparametersinthekilomberorivercatchmenttanzania AT selemanijumarajabu analysisofspatialandtemporaltrendofhydroclimaticparametersinthekilomberorivercatchmenttanzania AT kashaigilijaphetj analysisofspatialandtemporaltrendofhydroclimaticparametersinthekilomberorivercatchmenttanzania AT tumbomadaka analysisofspatialandtemporaltrendofhydroclimaticparametersinthekilomberorivercatchmenttanzania |