<?xml version="1.0" encoding="utf-8"?><article><front><Journal-meta><journal-id journal-id-type='publisher'>CWE/760/2017</journal-id><journal-title >Current World Environment</journal-title><issn pub-type='PPub'>0973-4929</issn><issn pub-type='ePub'>2320-8031</issn><publisher><publisher-name>Enviro Research Publishers</publisher-name></publisher></Journal-meta><article-meta><article-id pub-id-type='other'>CWE--48-00</article-id><title-group><article-title>Evaluation of the Spatial Variability of Annual Precipitation Using Geostatistics in the Lorestan Province, Iran</article-title></title-group><contrib-group><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib></contrib-group><aff id='aff002'><sup>2</sup><instname></instname>,<deptname>Faculty of Natural Resources,</deptname>, <instaddress>Tarbiat Modares University</instaddress>, <instcountry>Iran</instcountry>.</aff><pub-date pub-type='ppub'><publicationDate>2015-04-30</publicationDate></pub-date><doi>10.12944/CWE.10.Special-Issue1.120</doi><volume>Volume 10</volume><issue>Volume 10</issue><page>1016-1023</page><abstract><title>Abstract</title><p>&lt;p&gt;Sufficient knowledge of the local rainfall condition and general information about the compatible actions with region&amp;rsquo;s climate in different contexts is one of the most important measures for recovery and use of water resources in drinking, agricultural, and industry sections. Considering the extent of the area and need to know the amount of rainfall occurred in different places which are far from the stations, using Geostatistical methods to determine the rainfall is especially important. Therefore, purpose of current study was to investigate the variations of the rainfall and the amount of annual precipitation and its zoning in the province. Toward this attempt, various Geostatistical models were implemented using GS+ and ArcGIS software&amp;rsquo;s. The results showed that the Co-Kriging method had less error and more correlation than Kriging and IDW. In current study, elevation is the parameters associated with the precipitation in the Co-Kriging method which is highly correlated with the rainfall with the value of 0.12.&lt;/p&gt;
</p></abstract><kwd-group><title>Keywords</title><kwd>Rainfall</kwd><kwd> Spatial variability</kwd><kwd> Geostatistics</kwd><kwd> ArcGIS</kwd><kwd> GS+</kwd><kwd> Lorestan province</kwd></kwd-group><counts><ref-count count='' /><page-count count='' /></counts></article-meta></front></article>