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      <source-app name="Horizon">Horizon</source-app>
      <rec-number>1</rec-number>
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        <key app="Horizon" db-id="fdi:010071962">1</key>
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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Bouchez, J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Moquet, J. S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Espinoza, J. C.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Martinez, Jean-Michel</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Guyot, Jean-Loup</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Lagane, Christelle</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Filizola, N.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Noriega, L.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Sanchez, L. H.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Pombosa, R.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>River mixing in the Amazon as a driver of concentration-discharge relationships</title>
        <secondary-title>Water Resources Research</secondary-title>
      </titles>
      <pages>8660-8685</pages>
      <keywords>
        <keyword>concentration-discharge (C-Q) relationships</keyword>
        <keyword>Amazon River</keyword>
        <keyword>C-Q</keyword>
        <keyword>hysteresis loops</keyword>
        <keyword>tributary mixing</keyword>
        <keyword>spectral analysis</keyword>
        <keyword>AMAZONE BASSIN</keyword>
      </keywords>
      <dates>
        <year>2017</year>
      </dates>
      <call-num>fdi:010071962</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Water Resources Research</full-title>
      </periodical>
      <isbn>0043-1397</isbn>
      <accession-num>ISI:000418736700002</accession-num>
      <number>11</number>
      <electronic-resource-num>10.1002/2017wr020591</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010071962</url>
        </related-urls>
        <pdf-urls>
          <url>https://www.documentation.ird.fr/intranet/publi/2018/01/010071962.pdf</url>
        </pdf-urls>
      </urls>
      <volume>53</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Large hydrological systems aggregate compositionally different waters derived from a variety of pathways. In the case of continental-scale rivers, such aggregation occurs noticeably at confluences between tributaries. Here we explore how such aggregation can affect solute concentration-discharge (C-Q) relationships and thus obscure the message carried by these relationships in terms of weathering properties of the Critical Zone. We build up a simple model for tributary mixing to predict the behavior of C-Q relationships during aggregation. We test a set of predictions made in the context of the largest world's river, the Amazon. In particular, we predict that the C-Q relationships of the rivers draining heterogeneous catchments should be the most "dilutional" and should display the widest hysteresis loops. To check these predictions, we compute 10 day-periodicity time series of Q and major solute (Si, Ca2+, Mg2+, K+, Na+, Cl-, SO42-) C and fluxes (F) for 13 gauging stations located throughout the Amazon basin. In agreement with the model predictions, C-Q relationships of most solutes shift from a fairly "chemostatic" behavior (nearly constant C) at the Andean mountain front and in pure lowland areas, to more "dilutional" patterns (negative C-Q relationship) toward the system mouth. More prominent C-Q hysteresis loops are also observed at the most downstream stations. Altogether, this study suggests that mixing of water and solutes between different flowpaths exerts a strong control on C-Q relationships of large-scale hydrological systems.</abstract>
      <custom6>062 ; 020</custom6>
      <custom1>UR234</custom1>
      <custom7>Bolivie / Brésil / Équateur / Pérou</custom7>
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