<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-2422</journal-id>
<journal-title><![CDATA[Tecnología y ciencias del agua]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnol. cienc. agua]]></abbrev-journal-title>
<issn>2007-2422</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Tecnología del Agua, Coordinación de Comunicación, Participación e Información]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-24222018000200234</article-id>
<article-id pub-id-type="doi">10.24850/j-tyca-2018-02-10</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Application of two stream water temperature simulation models in the Fenton River-Storrs-Connecticut]]></article-title>
<article-title xml:lang="es"><![CDATA[Aplicación de dos modelos de simulación de temperatura del agua en el río Fenton-Storrs-Connecticut]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Stella]]></surname>
<given-names><![CDATA[Juan M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico y de Estudios Superiores de Monterrey  ]]></institution>
<addr-line><![CDATA[Monterrey ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2018</year>
</pub-date>
<volume>9</volume>
<numero>2</numero>
<fpage>234</fpage>
<lpage>245</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-24222018000200234&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-24222018000200234&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-24222018000200234&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In this research, the physically-based WTS (Water Temperature Simulation) model was developed to predict water temperature changes in a river in eastern Connecticut during the summer. The model was applied and calibrated with a one-hour time step during the summer&#8217;s low-flow season on the Fenton River, which is tributary of the Mansfield Hollow Lake. Temperatures were recorded at one-hour intervals during the summer in 2004 and 2005, at various locations along the river to provide data for the model&#8217;s calibration. Model results were tested against observed stream temperatures and also compared to the SSTemp (Stream Segment Temperature model) created by Bartholow (2002). Results show that both models can be used to predict changes in stream temperature due to changes in groundwater inflow/outflow, and could be used to assess various water management scenarios.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En esta investigación se desarrolló un modelo basado en parámetros físicos WTS (Water Temperature Simulation) para predecir los cambios de temperatura del agua en una corriente en el noreste del estado de Connecticut, Estados Unidos, en la temporada del verano. El modelo se calibró y validó durante la temporada de bajos caudales en el río de Fenton, tributario del lago Mansfield Hollow. La temperatura del agua se midió en intervalos de una hora durante el verano de 2004 y 2005 en varios lugares, para obtener datos a lo largo del río en cuanto a la calibración y comprobación del modelo. Los resultados de la aplicación de los modelos se probaron contra temperaturas observadas en el río y con el modelo de SSTemp (Stream Segment Temperature model) creado por Bartholow (2002). Los resultados muestran que ambos modelos pueden ser utilizados para la predicción de cambios de temperatura en el río y podrían ser empleados para valorar cambios de temperatura debido a la extracción de agua subterránea, así como crear escenarios para la gestión de los recursos hídricos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[SSTemp]]></kwd>
<kwd lng="en"><![CDATA[WTS]]></kwd>
<kwd lng="en"><![CDATA[temperature]]></kwd>
<kwd lng="en"><![CDATA[simulation]]></kwd>
<kwd lng="en"><![CDATA[stream]]></kwd>
<kwd lng="en"><![CDATA[New England]]></kwd>
<kwd lng="es"><![CDATA[SSTemp]]></kwd>
<kwd lng="es"><![CDATA[WTS]]></kwd>
<kwd lng="es"><![CDATA[temperatura]]></kwd>
<kwd lng="es"><![CDATA[simulación]]></kwd>
<kwd lng="es"><![CDATA[río]]></kwd>
<kwd lng="es"><![CDATA[Nueva Inglaterra]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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</person-group>
<source><![CDATA[Stream Segment Temperature Model (SSTemp)]]></source>
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</back>
</article>
