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      <ref-type name="Conference Proceedings">10</ref-type>
      <work-type>C-ACTI : Communications avec actes dans un congrès international</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Koné, S.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Mahé, Gil</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Bamba, F.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Paturel, Jean-Emmanuel</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Dezetter, Alain</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Servat, Eric</style>
          </author>
        </authors>
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      <titles>
        <title>Niger river basin - hydrological modelling : enhancing framework accuracy [résumé]</title>
        <tertiary-title>IAHS-AISH Scientific Assembly</tertiary-title>
        <secondary-title>IAHS : International Association of Hydrological Science</secondary-title>
      </titles>
      <pages>IAHS2022-80 [1 ]</pages>
      <keywords>
        <keyword>NIGER BASSIN</keyword>
      </keywords>
      <dates>
        <year>2022</year>
        <pub-dates>
          <date>2022/05/29-2022/06/03</date>
        </pub-dates>
      </dates>
      <pub-location>Wallingford</pub-location>
      <publisher>IAHS</publisher>
      <call-num>fdi:010096655</call-num>
      <language>ENG</language>
      <electronic-resource-num>10.5194/iahs2022-80</electronic-resource-num>
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          <url>https://www.documentation.ird.fr/hor/fdi:010096655</url>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2026-03/010096655.pdf</url>
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      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>In hydrology, enhancing existing models are good ways to establishing efficient and accurate conceptual frameworks for hydrological simulation's purposes. Methodologically, a framework that has two parameters and three input variables, called SimulHyd, is used in this study to modelling runoff data, on sixteen watersheds of the Niger River and its tributaries, from 1950 to 1999. Purposely, this paper focuses on a model's inter-comparison method, which summarizes, in tables, then in graphics and in maps, the obtained results. We enhance modelling outputs both in modifying the former french's GR2M model to obtain a model called SimulHyd model and in developing a semi-distributed modelling from a lumped modelling approach.  SimulHyd stands for Simulation of Hydrological



systems.</abstract>
      <custom6>062MECEAU06</custom6>
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