<?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>2027-8306</journal-id>
<journal-title><![CDATA[Revista de Investigación, Desarrollo e Innovación]]></journal-title>
<abbrev-journal-title><![CDATA[Revista Investig. Desarro. Innov.]]></abbrev-journal-title>
<issn>2027-8306</issn>
<publisher>
<publisher-name><![CDATA[Universidad Pedagógica y Tecnológica de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2027-83062022000200315</article-id>
<article-id pub-id-type="doi">10.19053/20278306.v12.n2.2022.15274</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sistema de alerta temprana de inundaciones para el río Arauca basado en técnicas de inteligencia artificial]]></article-title>
<article-title xml:lang="en"><![CDATA[Early flood warning system for the Arauca river based on artificial intelligence techniques]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cárdenas-Rodríguez]]></surname>
<given-names><![CDATA[Sorangela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vides-Herrera]]></surname>
<given-names><![CDATA[Carlos Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pardo-García]]></surname>
<given-names><![CDATA[Aldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Pamplona  ]]></institution>
<addr-line><![CDATA[Pamplona ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Pamplona  ]]></institution>
<addr-line><![CDATA[Pamplona ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Pamplona  ]]></institution>
<addr-line><![CDATA[Pamplona ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>12</volume>
<numero>2</numero>
<fpage>315</fpage>
<lpage>326</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S2027-83062022000200315&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S2027-83062022000200315&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S2027-83062022000200315&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En este artículo se establece el diseño de un sistema de alertas tempranas de inundación en el río Arauca, municipio de Arauca, Colombia. La información del estudio se extrae del IDEAM y es procesada obteniendo un modelo a través de las variables intervinientes, como: precipitación, nivel y caudal. Este modelo de información suministra la data al modelo matemático para el cauce del río, que se obtiene a partir de tres clases de tendencias: lineal, potencia y relaciones potenciales. El modelo del cauce se compara con un observador basado en técnicas inteligentes, redes neuronales y ANFIS en este caso, que al hacer la diferencia de sus salidas genera un residuo encargado de suministrar la información que proporciona el estado actual de nivel del río bajo estudio. Esta información permite generar las alertas que son atendidas por las entidades del gobierno dedicadas a la gestión del riesgo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This article establishes the design of an early warning system for flooding in the Arauca River, in the municipality of Arauca, Colombia. The information corresponding to this study is extracted from the IDEAM and is processed obtaining a model through the variables that intervene such as precipitation, level and flow. This information model supplies the data to the mathematical model corresponding to the river channel, which is obtained from three kinds of trends: linear, power and potential relationships. This model is compared with an observer based on intelligent techniques such as neural networks and ANFIS, which make the difference of their outputs and a residue is obtained that is in charge of supplying the information that provides the current state of the river level under study, which in turn generates alerts that are addressed by government entities dedicated to risk management.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[inundación]]></kwd>
<kwd lng="es"><![CDATA[nivel de agua]]></kwd>
<kwd lng="es"><![CDATA[modelo matemático]]></kwd>
<kwd lng="es"><![CDATA[alerta temprana]]></kwd>
<kwd lng="en"><![CDATA[flood]]></kwd>
<kwd lng="en"><![CDATA[water level]]></kwd>
<kwd lng="en"><![CDATA[mathematical model]]></kwd>
<kwd lng="en"><![CDATA[early warnings]]></kwd>
</kwd-group>
</article-meta>
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<issue>1</issue>
<page-range>107-20</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
