Assessing and Managing Groundwater in Different Environments

Cobbing, Jude; Adams, Shafick; Dennis, Ingrid; Riemann, Kornelius

doi:10.1201/b15937

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within South Africa there is a national coverage of groundwater recharge estimates (DWAF, 2005), which has proved to be very useful for constraining model simulations and removing some of the equifinality in the simulation of low flow generation processes (Tanner and Hughes, 2013). Unfortunately, the BGS estimates appear to be too uncertain for that purpose in the Zambezi River basin.…”

Section: Discussionmentioning

confidence: 99%

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin.

Hughes

Farinosi

2020

Preprint

View full text Add to dashboard Cite

The main objective of this study was to use an uncertainty version of a widely used monthly time step, semi-distributed model (the Pitman model) to explore the equifinalities in the way in which the main hydrological processes are simulated and any identifiable linkages with uncertainties in the available observational data. The study area is the Zambezi River basin and 18 gauged sub-basins have been included in the analyses. Unfortunately, it is not generally possible to quantify some of the observational uncertainties in such a data scarce area and mostly we are limited to identifying where these data are clearly deficient (i.e. erroneous or non-representative). The overall conclusion is that the equifinalities in the model are hugely dominant in terms of the uncertainties in the relative occurrence of different runoff generating processes, although water use uncertainties in the semi-arid parts of the basin can contribute to these uncertainties. The identification of landscape features that suggest the occurrence of saturation excess surface runoff provides some information to constrain the model. Improved independent estimates of groundwater recharge is also identified as a key source of observational data that would help a great deal in constraining the model parameter space and therefore reducing some of the model equifinality.Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin.

show abstract

Section: Discussionmentioning

confidence: 99%

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin.

Hughes

Farinosi

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Within South Africa there is a national coverage of groundwater recharge estimates (DWAF, 2005), which has proved useful for constraining model simulations and removing some of the equifinality in the simulation of low flow generation processes (Tanner & Hughes, 2013). Unfortunately, the BGS (MacDonald et al, 2012) estimates appear to be too uncertain for that purpose in the Zambezi River basin.…”

Section: Groundwater Recharge Datamentioning

confidence: 99%

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin

Hughes

Farinosi

2021

Hydrological Processes

View full text Add to dashboard Cite

The main objective of this study was to use an uncertainty version of a widely used monthly time step, semi-distributed model (the Pitman model) to explore the equifinalities in the way in which the main hydrological processes are simulated and any identifiable linkages with uncertainties in the available observational data. The study area is the Zambezi River basin and 17 gauged sub-basins have been included in the analyses. Unfortunately, it is not generally possible to quantify some of the observational uncertainties in such a data scarce area and mostly we are limited to identifying where these data are clearly deficient (i.e., erroneous or non-representative). The overall conclusion is that the equifinalities in the model are hugely dominant in terms of the uncertainties in the relative occurrence of different runoff generating processes, although water use uncertainties in the semi-arid parts of the basin can contribute to these uncertainties. The identification of landscape features that suggest the occurrence of saturation excess surface runoff provides some information to constrain the model. Improved independent estimates of groundwater recharge is also identified as a key source of observational data that would help a great deal in constraining the model parameter space and therefore reducing some of the model equifinality.

show abstract

Assessing and Managing Groundwater in Different Environments

Cited by 2 publications

References 0 publications

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin.

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin.

Unpacking some of the linkages between uncertainties in observational data and the simulation of different hydrological processes using the Pitman model in the data scarce Zambezi River basin

Contact Info

Product

Resources

About