Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya
This article presents hydro-chemical and isotopic (δ15N-, δ18O‒NO3−, δ11B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatially distri...
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Elsevier
2021-04-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921000718 |
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author | Benjamin Nyilitya Stephen Mureithi Pascal Boeckx |
author_facet | Benjamin Nyilitya Stephen Mureithi Pascal Boeckx |
author_sort | Benjamin Nyilitya |
collection | DOAJ |
description | This article presents hydro-chemical and isotopic (δ15N-, δ18O‒NO3−, δ11B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatially distributed in the basin during nine seasons from July/2016 to May/2018. The hydro-chemical data was generated from the Laboratory analysis of the water samples using the ion chromatogram. Samples for nitrate isotope (δ15N-, δ18O‒NO3−) analysis were prepared via the bacterial denitrification method and analysed using Isotope Ratio Mass Spectrometer. The data, which is categorised in different land use zones and seasons, is important for understanding the spatiotemporal variation in nitrate and solute concentrations and the role of land use on the river water quality. In addition, the δ15N-, δ18O‒NO3− and δ11B values are key for elucidating nitrate pollution sources and potential biogeochemical processes for the management and control of nutrient pollution and eutrophication of the Lake Victoria. Furthermore, the dataset can be of great use in water quality models for understanding non-point pollution dynamics in tropical basins. This article is related to [1]. |
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issn | 2352-3409 |
language | English |
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publishDate | 2021-04-01 |
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series | Data in Brief |
spelling | doaj.art-9d21f3044cc84cfca1b5b961fc68b8e12022-12-21T21:35:48ZengElsevierData in Brief2352-34092021-04-0135106787Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in KenyaBenjamin Nyilitya0Stephen Mureithi1Pascal Boeckx2Isotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium; Department of Land Resource Management and Agricultural Technology, University of Nairobi, P. O. Box 29053-00625, Nairobi, Kenya; National Water Resources Department, Ministry of Water & Sanitation and Irrigation, P. O. Box 49720-00100, Nairobi, Kenya; Corresponding author at: Isotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium.Department of Land Resource Management and Agricultural Technology, University of Nairobi, P. O. Box 29053-00625, Nairobi, KenyaIsotope Bioscience Laboratory - ISOFYS, Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, BelgiumThis article presents hydro-chemical and isotopic (δ15N-, δ18O‒NO3−, δ11B) data of water samples and potential nitrate sources from the Nyando river basin, a tributary of the Lake Victoria in Kenya. The data collection involved field sampling of water samples in 23 sampling stations spatially distributed in the basin during nine seasons from July/2016 to May/2018. The hydro-chemical data was generated from the Laboratory analysis of the water samples using the ion chromatogram. Samples for nitrate isotope (δ15N-, δ18O‒NO3−) analysis were prepared via the bacterial denitrification method and analysed using Isotope Ratio Mass Spectrometer. The data, which is categorised in different land use zones and seasons, is important for understanding the spatiotemporal variation in nitrate and solute concentrations and the role of land use on the river water quality. In addition, the δ15N-, δ18O‒NO3− and δ11B values are key for elucidating nitrate pollution sources and potential biogeochemical processes for the management and control of nutrient pollution and eutrophication of the Lake Victoria. Furthermore, the dataset can be of great use in water quality models for understanding non-point pollution dynamics in tropical basins. This article is related to [1].http://www.sciencedirect.com/science/article/pii/S2352340921000718Nitrateδ15N‒NO3−δ18O‒NO3−HydrochemistrySource apportionmentTropical basins |
spellingShingle | Benjamin Nyilitya Stephen Mureithi Pascal Boeckx Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya Data in Brief Nitrate δ15N‒NO3− δ18O‒NO3− Hydrochemistry Source apportionment Tropical basins |
title | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_full | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_fullStr | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_full_unstemmed | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_short | Spatiotemporal hydro-chemical and isotopic dataset of the tropical Nyando river basin in Kenya |
title_sort | spatiotemporal hydro chemical and isotopic dataset of the tropical nyando river basin in kenya |
topic | Nitrate δ15N‒NO3− δ18O‒NO3− Hydrochemistry Source apportionment Tropical basins |
url | http://www.sciencedirect.com/science/article/pii/S2352340921000718 |
work_keys_str_mv | AT benjaminnyilitya spatiotemporalhydrochemicalandisotopicdatasetofthetropicalnyandoriverbasininkenya AT stephenmureithi spatiotemporalhydrochemicalandisotopicdatasetofthetropicalnyandoriverbasininkenya AT pascalboeckx spatiotemporalhydrochemicalandisotopicdatasetofthetropicalnyandoriverbasininkenya |