Quantification of temporal variations in base flow index using sporadic river data: application to the Bua catchment, Malawi

Laura Kelly, Robert M. Kalin, Douglas Bertram, Modesta Kanjaye, MacPherson Nkhata, Hyde Sibande

Research output: Contribution to journalArticle

Abstract

This study investigated how sporadic river datasets could be used to quantify temporal variations in the base flow index (BFI). The BFI represents the baseflow component of river flow which is often used as a proxy indicator for groundwater discharge to a river. The Bua catchment in Malawi was used as a case study, whereby the smoothed minima method was applied to river flow data from six gauges (ranging from 1953 to 2009) and the Mann-Kendall (MK) statistical test was used to identify trends in BFI. The results showed that baseflow plays an important role within the catchment. Average annual BFIs > 0.74 were found for gauges in the lower reaches of the catchment, in contrast to lower BFIs < 0.54 which were found for gauges in the higher reaches. Minimal difference between annual and wet season BFI was observed, however dry season BFI was >0.94 across all gauges indicating the importance of baseflow in maintaining any dry season flows. Long term trends were identified in the annual and wet season BFI, but no evidence of a trend was found in the dry season BFI. Sustainable management of the investigated catchment should, therefore, account for the temporal variations in baseflow, with special regard to water resources allocation within the region and consideration in future scheme appraisals aimed at developing water resources. Further, this demonstration of how to work with sporadic river data to investigate baseflow serves as an important example for other catchments faced with similar challenges.
LanguageEnglish
Article number901
Number of pages27
JournalWater
Volume11
Issue number5
DOIs
Publication statusPublished - 29 Apr 2019

Fingerprint

baseflow
Catchments
temporal variation
Rivers
catchment
Gages
river
Water resources
gauge
Statistical tests
river flow
Discharge (fluid mechanics)
Resource allocation
dry season
Groundwater
Demonstrations
water resource
index
resource allocation
wet season

Keywords

  • baseflow
  • baseflow index
  • hydrograph
  • groundwater
  • Malawi

Cite this

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title = "Quantification of temporal variations in base flow index using sporadic river data: application to the Bua catchment, Malawi",
abstract = "This study investigated how sporadic river datasets could be used to quantify temporal variations in the base flow index (BFI). The BFI represents the baseflow component of river flow which is often used as a proxy indicator for groundwater discharge to a river. The Bua catchment in Malawi was used as a case study, whereby the smoothed minima method was applied to river flow data from six gauges (ranging from 1953 to 2009) and the Mann-Kendall (MK) statistical test was used to identify trends in BFI. The results showed that baseflow plays an important role within the catchment. Average annual BFIs > 0.74 were found for gauges in the lower reaches of the catchment, in contrast to lower BFIs < 0.54 which were found for gauges in the higher reaches. Minimal difference between annual and wet season BFI was observed, however dry season BFI was >0.94 across all gauges indicating the importance of baseflow in maintaining any dry season flows. Long term trends were identified in the annual and wet season BFI, but no evidence of a trend was found in the dry season BFI. Sustainable management of the investigated catchment should, therefore, account for the temporal variations in baseflow, with special regard to water resources allocation within the region and consideration in future scheme appraisals aimed at developing water resources. Further, this demonstration of how to work with sporadic river data to investigate baseflow serves as an important example for other catchments faced with similar challenges.",
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Quantification of temporal variations in base flow index using sporadic river data : application to the Bua catchment, Malawi. / Kelly, Laura; Kalin, Robert M.; Bertram, Douglas; Kanjaye, Modesta; Nkhata, MacPherson ; Sibande, Hyde.

Vol. 11, No. 5, 901, 29.04.2019.

Research output: Contribution to journalArticle

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AU - Kelly, Laura

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AU - Bertram, Douglas

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AU - Nkhata, MacPherson

AU - Sibande, Hyde

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