<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Applied Ecology and Environmental Sciences</journalTitle>
<eissn>2328-3920</eissn>
<publicationDate>2015-11-06</publicationDate>
<volume>3</volume>
<issue>6</issue>
<startPage>158</startPage>
<endPage>162</endPage>
<doi>10.12691/aees-3-6-1</doi>
<publisherRecordId>AEES2015361</publisherRecordId>
<documentType>article</documentType>
<title language="eng">A Study on ENSO Phenomenon Relationship with Fasa's Precipitation, Fasa, Iran</title>
<authors>
<author>
<name>Ali Akbar Salehizadeh</name>
<email>day.system@yahoo.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Ameneh Benshams</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Mohammad Rahmanian</name>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Morteza Khodagholi</name>
<affiliationId>3</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Geography, Islamic Azad University, Najafabad Branch, Najafabad, Iran</affiliationName>

<affiliationName affiliationId="2">Geography Department, Islamic Azad University, Larestan-branch, Larestan, Iran</affiliationName>
<affiliationName affiliationId="3">Isfahan Agriculture and Natural Resources Center, Isfahan Province</affiliationName>
</affiliationsList>
<abstract language="eng">Generally, Climatic extreme events such as the heavy rainfall and sudden changes cause the greatest range of damages to water resources, agriculture and even human daily life. The decrease of negative effects of these events won't be possible except with their correct and regular monitoring. This study evaluates the effects of large-scale climate factors such as ENSO, on how occurrence and severity of seasonal precipitation changes in Fasa, Fars province, Iran. The rainfall data of a 30-year period in Fasa's station was used, and ENSO phenomenon relationship with rainfall precipitation parameter in Fasa was studied by Pearson correlation technique and other statistical methods. Monthly data was evaluated simultaneously with one-month, three- month and six-month lag. The ENSO Southern oscillation index correlation yielded that the highest ENSO phenomenon effect on Fasa's precipitation exists as concurrent reverse as much as 99% in December; in December and October with one month lag 99% and in October with 3 months lag 95%.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/aees/3/6/1/aees-3-6-1.pdf</fullTextUrl>
<keywords language="eng"><keyword>rainfall</keyword>
<keyword>precipitation</keyword>
<keyword>ENSO</keyword>
<keyword>pearson correlation</keyword>
<keyword>southern oscillation</keyword>
</keywords>
</record>
</records>
