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  • Volume 45, Issue 4-5

Assessment of rain-gauge networks using a probabilistic GIS based approach

Mojtaba Shafiei, Bijan Ghahraman, Bahram Saghafian, Saket Pande, Shervan Gharari, Kamran Davary
Published August 2014, 45 (4-5) 551-562; DOI: 10.2166/nh.2013.042
Mojtaba Shafiei
Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad (FUM), P.O. Box 91775-1163, Mashhad, Iran E-mail: moj.shafiei@tudelft.nl; moj.shafiei@gmail.comDepartment of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628-CN, Delft, The Netherlands
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Bijan Ghahraman
Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad (FUM), P.O. Box 91775-1163, Mashhad, Iran E-mail: moj.shafiei@tudelft.nl; moj.shafiei@gmail.com
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Bahram Saghafian
Technical and Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Saket Pande
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628-CN, Delft, The Netherlands
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Shervan Gharari
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628-CN, Delft, The NetherlandsPublic Research Center–Gabriel Lippmann, Belvaux, Luxembourg
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Kamran Davary
Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad (FUM), P.O. Box 91775-1163, Mashhad, Iran E-mail: moj.shafiei@tudelft.nl; moj.shafiei@gmail.com
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Abstract

Rain-gauge networks provide estimates of areal rainfall as a crucial input for hydrological applications. Hence, it is important to quantify the performance of a rain-gauge network and evaluate the contribution of each rain-gauge to the overall accuracy of areal rainfall estimation at basin scale. This paper evaluates the performance and augmentation of a rain-gauge network in a large basin in Iran. A probabilistic approach combined with a geographic information system (GIS) framework is applied, in order to assess the accuracy of point rainfall in terms of acceptance probability. A simple equation for calculating the acceptance probability is presented which facilitates the application of the probabilistic approach in a GIS environment. This approach analyzes the number and location of rain-gauges and quantifies each gauge's contribution to the accuracy of rainfall estimation over the study area. Results show that among 33 existing gauges, only 21 have significant effect on areal rainfall estimation while other 12 gauges have marginal contribution to the accuracy of the network. Also, by applying an augmentation algorithm, an optimal rain-gauge network with 28 gauges is formed.

  • acceptance probability
  • climatological variogram
  • kriging variance
  • rain-gauge network
  • Received February 20, 2013.
  • Accepted August 26, 2013.
  • © IWA Publishing 2014

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SELECTED ISSUE

Hydrology Research: 49 (2)
  Volume 45, Issue 4-5

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Assessment of rain-gauge networks using a probabilistic GIS based approach
Mojtaba Shafiei, Bijan Ghahraman, Bahram Saghafian, Saket Pande, Shervan Gharari, Kamran Davary
Hydrology Research Aug 2014, 45 (4-5) 551-562; DOI: 10.2166/nh.2013.042
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Assessment of rain-gauge networks using a probabilistic GIS based approach
Mojtaba Shafiei, Bijan Ghahraman, Bahram Saghafian, Saket Pande, Shervan Gharari, Kamran Davary
Hydrology Research Aug 2014, 45 (4-5) 551-562; DOI: 10.2166/nh.2013.042

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Keywords

acceptance probability
climatological variogram
kriging variance
rain-gauge network
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