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Cited by 472

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Modeling blue and green water availability in Africa

Open access
Schuol, Jürgen, Abbaspour, Karim C., Yang, Hong, Srinivasan, Raghavan, Zehnder, Alexander J. B.·2008·Water Resources Research

Abstract

Despite the general awareness that in Africa many people and large areas are suffering from insufficient water supply, spatially and temporally detailed information on freshwater availability and water scarcity is so far rather limited. By applying a semidistributed hydrological model SWAT (Soil and Water Assessment Tool), the freshwater components blue water flow (i.e., water yield plus deep aquifer recharge), green water flow (i.e., actual evapotranspiration), and green water storage (i.e., soil water) were estimated at a subbasin level with monthly resolution for the whole of Africa. Using the program SUFI‐2 (Sequential Uncertainty Fitting Algorithm), the model was calibrated and validated at 207 discharge stations, and prediction uncertainties were quantified. The presented model and its results could be used in various advanced studies on climate change, water and food security, and virtual water trade, among others. The model results are generally good albeit with large prediction uncertainties in some cases. These uncertainties, however, disclose the actual knowledge about the modeled processes. The effect of considering these model‐based uncertainties in advanced studies is shown for the computation of water scarcity indicators.

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Metadata

Authors
Schuol, J., Abbaspour, K. C., Yang, H., Srinivasan, R., & Zehnder, A. J. B.
Venue
Water Resources Research
Published
2008-07
Volume
44
Issue
7
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2120411647
Cited by
472
References
50
FWCI
11.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modeling blue and green water availability in Africa. https://app.cochat.ai/papers/10.1029/2007wr006609
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Schuol, J., Abbaspour, K. C., Yang, H., Srinivasan, R., & Zehnder, A. J. B. (2008). Modeling blue and green water availability in Africa. Water Resources Research. https://doi.org/10.1029/2007wr006609

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.