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Metadata Files

Data Publication

Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021

Franchi, F. | Chirindja, F.J. | Pasqualotto, F. | Hussey, S. | Comte, J.

NERC EDS Environmental Information Data Centre

(2023)

Descriptions

The data set contains grain size distributions, organic matter (OM) content and trace metal distribution (including Fe, Zn, Cu, Cr and Pb) of 37 shallow cores of sediments sampled from dams across the Limpopo River Basin. The dams include: Gaborone, Lotsane and Shashe dams in Botswana; Houtrivier, Nwanedi and Mutshedzi dams in South Africa; Ripple Creek and Zhovhe dams in Zimbabwe; and Massingir Dam in Mozambique. Data from two cores sampled from an oxbow lake in Mozambique are also included. The cores were collected with a gravity corer using PVC pipes of 5 cm diameter by a team from Botswana International University of Science and Technology (BIUST) led by Dr. Franchi between July 2018 and April 2021.
Grain size analysis was carried on wet samples dispersed in water and analysed with a Malvern Mastersizer 3000 laser diffraction particle size analyser at Botswana International University of Science and Technology (BIUST), Palapye (Botswana).b A few grams of the samples were dispersed into a glass container with half a spoon of sodium hexametaphosphate to prevent clays from flocculation. The data are reported as 10th percentile (Dx10), median (Dx50) and 90th percentile (Dx90). The organic matter content was determined using Loss on Ignition (LOI) method whereby the samples were dried at 60 C for 24 hours to remove water content. The dried samples were placed in the funnel furnace at 550 C for 2 hours and then weighed again to determine LOI. Data are reported as percentage of mass loss during the ignition phase as compared with the initial mass of dried sample. The sediments have been analysed for trace metal distribution using ICP-OES and ICP-MS on samples of sediments partially digested with aqua regia. All data are raw and unprocessed.

Keywords


Originally assigned keywords
Gaborone dam
Lotsane dam
Shashe dam
Botswana
Mutshedzi dam
Houtrivier dam
Nwanedi dam
South Africa
Zhovhe dam
Ripple Creek dam
Massingir dam
Zimbabwe
Mozambique
sediment
limnology
fluvial resource
grain
dam
sediments geochemistry
grain size

Corresponding MSL vocabulary keywords
grain size

MSL enriched keywords
Analyzed feature
grain size and configuration
grain size
measured property
copper
iron
zinc
Apparatus
environmental control
temperature control
furnace
analysis
whole rock analysis
loss on ignition
equipment
mass spectrometer
inductively coupled plasma-mass spectrometer
sodium

MSL enriched sub domains i

microscopy and tomography
geochemistry
rock and melt physics

Source

https://catalogue.ceh.ac.uk/id/b8db8239-3bde-454a-aa75-d1cec24c8763

Source publisher

NERC EDS Environmental Information Data Centre


DOI

10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763


Creators

Franchi, F.

Botswana International University of Science and Technology

ORCID:

https://orcid.org/0000-0003-0313-5624

Chirindja, F.J.

Eduardo Mondlane University

Other:

Pasqualotto, F.

University of Insubria

Other:

Hussey, S.

Dabane Trust

Other:

Comte, J.

University of Aberdeen

ORCID:

https://orcid.org/0000-0002-5129-8391


Contributors

Comte, J.

ContactPerson

University of Aberdeen

ORCID:

https://orcid.org/0000-0002-5129-8391

University of Aberdeen

RightsHolder

University of Aberdeen

NERC EDS Environmental Information Data Centre

HostingInstitution

NERC EDS Environmental Information Data Centre


References

https://data-package.ceh.ac.uk/sd/b8db8239-3bde-454a-aa75-d1cec24c8763.zip


Citation

Franchi, F., Chirindja, F. J., Pasqualotto, F., Hussey, S., & Comte, J.-C. (2023). Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/B8DB8239-3BDE-454A-AA75-D1CEC24C8763


Dates

Submitted:

2023-04-26

Created:

2022-08-02

Available:

2024-01-02


Language

en


Funding References

Funder name: Natural Environment Research Council

Funder identifier: https://ror.org/02b5d8509

Funder identifier type: ROR

Award number: NE/S005943/1

Award title: Connect4 water resilience: connecting water resources, communities, drought and flood hazards, and governance across 4 countries in the Limpopo basin


Rights

This resource is available under the terms of the Open Government Licence


Spatial coordinates