<?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>S2007-24222018000100135</article-id>
<article-id pub-id-type="doi">10.24850/j-tyca-2018-01-10</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Detección de sequías meteorológicas anuales en el estado de Zacatecas, México, con base en índices de anomalía estandarizada]]></article-title>
<article-title xml:lang="en"><![CDATA[Detection of annual meteorological droughts in the state of Zacatecas, Mexico, based on standardized anomaly indices]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campos-Aranda]]></surname>
<given-names><![CDATA[Daniel Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí  ]]></institution>
<addr-line><![CDATA[ San Luis Potosí]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2018</year>
</pub-date>
<volume>9</volume>
<numero>1</numero>
<fpage>135</fpage>
<lpage>149</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-24222018000100135&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-24222018000100135&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-24222018000100135&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Las sequías meteorológicas (SM) son un decremento temporal en la precipitación normal que recibe una localidad o región. Para formular planes de mitigación de sus daños, es necesario estudiarlas para estimar sus características. En este trabajo se detecta la ocurrencia de las SM anuales y se estima su severidad a través del índice de sequías de Pedj (ISP), que se define como la diferencia entre las anomalías estandarizadas de la temperatura media y de la precipitación, ambas anuales. Se calcularon 16 series del ISP, en el estado de Zacatecas, México, cuyo periodo común fue de 65 años en el lapso de 1950 a 2014. Después de verificar su homogeneidad, tales series se analizaron con varios métodos estadísticos, para establecer su comportamiento local y regional. A nivel local se detectan y analizan las secuencias más severas de cinco años, así como las diez sequías más extremas. El análisis regional buscó los años con sequía que afectaron un mayor número de estaciones climatológicas, en cada una de las tres zonas geográficas analizadas. Como el ISP data de mediados de los años setenta se contrastó con un índice reciente, el RDIST. De todos los análisis realizados se concluye que el ISP es una técnica simple que permite la detección precisa a nivel local y regional de las SM anuales; por ello se recomienda su aplicación sistemática. Además, permitirá verificar los resultados de otros índices de sequías y hará posible conocer las SM como serie cronológica, orientado esto último a su pronóstico.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Meteorological droughts (MD) are a temporary decrease in the normal rainfall received by a location or a region. In order to formulate plans for mitigation of damages, it becomes necessary to study the droughts to estimate related features. In this work the occurrence of annual MD is detected and its severity is estimated through the Pedj drought index (PDI), defined as the difference between the standardized anomalies of the mean temperature and of precipitation, both annual estimates. Sixteen PDI series were calculated, in the state of Zacatecas, Mexico, whose common period was 65 years in the lapse from 1950 to 2014. After verifying their homogeneity, such series were analyzed with various statistical methods, to establish their local and regional behavior. At the local level the most severe sequences of five years are detected and analyzed, as well as the ten most extreme droughts. The regional analysis helped finding the drought years that affected a large number of climatological stations, in each of the three geographical areas analyzed. As the PDI dates from mid-seventies was contrasted with a recent index, the RDIST. Based on all analyzes, it is concluded that the PDI is a simple technique that allows the accurate detection at local and regional level of annual MD; therefore its systematic application is recommended. This implementation will allow the verification of results of other indices of drought and make it possible to know the MD as time series, the latter oriented to forecasting.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[desviación estándar]]></kwd>
<kwd lng="es"><![CDATA[índice de anomalía estandarizada]]></kwd>
<kwd lng="es"><![CDATA[índice de sequías de Pedj]]></kwd>
<kwd lng="es"><![CDATA[pruebas estadísticas]]></kwd>
<kwd lng="es"><![CDATA[promedios móviles]]></kwd>
<kwd lng="es"><![CDATA[sequías importantes]]></kwd>
<kwd lng="en"><![CDATA[Standard deviation]]></kwd>
<kwd lng="en"><![CDATA[standardized anomaly index]]></kwd>
<kwd lng="en"><![CDATA[Pedj drought index]]></kwd>
<kwd lng="en"><![CDATA[statistical tests]]></kwd>
<kwd lng="en"><![CDATA[moving averages]]></kwd>
<kwd lng="en"><![CDATA[major droughts]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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