<?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>2518-4431</journal-id>
<journal-title><![CDATA[Investigación & Desarrollo]]></journal-title>
<abbrev-journal-title><![CDATA[Inv. y Des.]]></abbrev-journal-title>
<issn>2518-4431</issn>
<publisher>
<publisher-name><![CDATA[UNIVERSIDAD PRIVADA BOLIVIANA]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2518-44312024000200001</article-id>
<article-id pub-id-type="doi">10.23881/idupbo.024.2-1i</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[ANÁLISIS DE DIFERENTES FUENTES DE PRECIPITACIÓN PARA LA REDUCCIÓN DE ESCALA DEL MODELO MIROC5 EN LA CUENCA GUADALQUIVIR, BOLIVIA]]></article-title>
<article-title xml:lang="en"><![CDATA[ANALYSIS OF DIFFERENT PRECIPITATION SOURCES FOR THE DOWNSCALING OF THE MIROC5 MODEL IN THE GUADALQUIVIR BASIN, BOLIVIA]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ureña]]></surname>
<given-names><![CDATA[Jhonatan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Saavedra]]></surname>
<given-names><![CDATA[Oliver]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Privada Boliviana Centro de Investigaciones en Ingeniería Civil y Ambiental (CIICA) ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Bolivia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Privada Boliviana Facultad de Ingenierías y Arquitectura ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Bolivia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>24</volume>
<numero>2</numero>
<fpage>1</fpage>
<lpage>2</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.bo/scielo.php?script=sci_arttext&amp;pid=S2518-44312024000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.bo/scielo.php?script=sci_abstract&amp;pid=S2518-44312024000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.bo/scielo.php?script=sci_pdf&amp;pid=S2518-44312024000200001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El uso de datos de precipitación distribuida en modelos hidrológicos es importante para reflejar la variabilidad espacial de los procesos hidrológicos. En este estudio se ha implementado la herramienta HydroBID en la cuenca del río Guadalquivir utilizando tres productos de precipitación: i) estaciones pluviométricas; ii) GSMaP.v6_Gauge; iii) producto combinado GS. Este último se generó combinando el producto con base satelital y la red local de pluviómetros, a nivel de subcuenca. También se implementó el modelo hidrológico con los productos de precipitación y se obtuvo el caudal diario en la red hídrica, mostrando una óptima correlación de 0,99 y eficiencia de 0,96 durante el periodo 2000 - 2016 a nivel subcuenca. Los resultados simulados con el producto combinado GS presentaron mejor similitud a los caudales observados. Posteriormente, se aplicó el método de reducción de escala K-NN al modelo climático global MIROC5 RCP8.5 con las variables de precipitación y temperatura, considerando dos horizontes futuros de análisis, cercano (2031-2060) y futuro lejano (2061-2090). Los resultados muestran que la temperatura presenta patrones y comportamientos similares a los observados, con valores promedios 17 y 18°C, y variaciones de 1.5 y 2.7°C para los escenarios futuro cercano y lejano, respectivamente. En cambio, la precipitación mostró diferentes comportamientos en los tres productos empleados. Los valores de las estaciones pluviométricas y el producto GS presentan una reducción drástica al promedio observado histórico de precipitación empleado, con diferencias de hasta 230 mm/año en promedio. El producto GSMaP presentó valores de precipitación más altos, aproximadamente 80 mm/año sobre el promedio, los resultados de modelación empleando estos datos de precipitación indican que los caudales simulados presentan valores más bajos con respecto a los observados. Los caudales observados presentan un promedio máximo de 40 m3/s en marzo y un mínimo promedio de 3 m3/s en octubre. Por otro lado, los caudales simulados bajo efecto de cambio climático presentan un caudal máximo promedio de 22 m3/s en marzo y caudal mínimo de 3 m3/s en octubre, indicando una reducción de caudal en la época de lluvias.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The use of distributed precipitation data in hydrological models is important to reflect the spatial variability of hydrological processes. In this study, the HydroBID tool has been implemented in the Guadalquivir River basin using three precipitation products: i) rainfall stations; ii) GSMaP.v6_Gauge; iii) combined GS product. The latter was generated by combining the satellite-based product and the local network of rain gauges, at the sub-basin level. The hydrological model was also implemented with the precipitation products and the daily flow in the water network was obtained, showing an optimum correlation of 0.99 and efficiency of 0.96 during the period 2000 - 2016 at the sub-basin level. The results simulated with the combined GS product showed better similarity to the observed flows. Subsequently, the K-NN downscaling method was applied to the MIROC5 RCP8.5 global climate model with the precipitation and temperature variables, considering two future horizons of analysis, near (2031-2060) and far future (2061-2090). The results show that temperature shows patterns and behaviors similar to those observed, with average values of 17 and 18°C, and variations of 1.5 and 2.7°C for the near and far future scenarios, respectively. On the other hand, precipitation showed different behaviors in the three products used. The values of the rain gauges and the GS product show a drastic reduction to the observed historical average of precipitation used, with differences of up to 230 mm/year on average. The GSMaP product presented higher precipitation values, approximately 80 mm/year above the average, the modeling results using this precipitation data indicate that the simulated flows present lower values with respect to the observed ones. The observed flows show a maximum average of 40 m3/s in March and a minimum average of 3 m3/s in October. On the other hand, the simulated flows under the effect of climate change show an average maximum flow of 22 m3/s in March and a minimum flow of 3 m3/s in October, indicating a reduction in flow during the rainy season.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Precipitación]]></kwd>
<kwd lng="es"><![CDATA[Sensores remotos]]></kwd>
<kwd lng="es"><![CDATA[HydroBID]]></kwd>
<kwd lng="es"><![CDATA[Cuenca Guadalquivir]]></kwd>
<kwd lng="es"><![CDATA[GCM-MIROC5 RCP8.8]]></kwd>
<kwd lng="en"><![CDATA[Precipitation]]></kwd>
<kwd lng="en"><![CDATA[Remote Sensing]]></kwd>
<kwd lng="en"><![CDATA[HydroBID]]></kwd>
<kwd lng="en"><![CDATA[Guadalquivir Basin]]></kwd>
<kwd lng="en"><![CDATA[GCM-MIROC5 RCP8.8]]></kwd>
</kwd-group>
</article-meta>
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<name>
<surname><![CDATA[Lima-Quispe]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Cleoni]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rincón]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Gutierrez]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zubieta]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Nuñez]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Iriarte]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Saldías]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Purkey]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Escobar]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Angarita]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Delving into the Divisive Waters of River Basin Planning in Bolivia: A Case Study in the Cochabamba Valley]]></article-title>
<source><![CDATA[Water]]></source>
<year>2021</year>
<volume>13</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>190</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
