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				<publisherName>Zibeline International Publishing</publisherName>
				<publisherLoc>Malaysia,China,Pakistan,UAE</publisherLoc>
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			<doi origin="razipublishing" registered="yes">10.26480/esp.02.2025.79.86</doi>
			
			<issn type="online"> 2521-2907</issn>
			<issn type="print">2521-2893</issn>
			
			<titleGroup>
				<title type="subject" xml:lang="en" sort="Earth Sciences Pakistan">Earth Sciences Pakistan</title>
				<title type="title">RAINFALL TRENDS ANALYSIS IN CONTEXT OF CLIMATE CHANGE IN SAUDI ARABIA : A CASE STUDY OF HA’IL REGION</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2025 Zibeline International Publishing</copyright>
		
			<eventGroup>
				<event type="publication_date" date="22-12-2025"/>
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			<creators>
				<creator xml:id="hsa" creatorRole="editor">
					<personName>
						<editorNames>Mohammed Foudil Bourouba</editorNames>
					</personName>
				</creator>        
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		<citation_keywords>
		    <keyword>Variations of rainfall, precipitation, global warming, Gumbel law, return periods.</keyword>
		</citation_keywords>
			
		<citation_pdfformat>
		     <pdf_url>https://earthsciencespakistan.com/archives/2esp2025/2esp2025-79-86.pdf</pdf_url>
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	         <xml_url>https://earthsciencespakistan.com/xml/2esp2025/2esp2025-79-86.xml</xml_url>
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	   <citation_volume>
	       <volume>9</volume>
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	   <citation_issue>
	        <issue>2</issue>
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	   <citation_pages>
	      <pages>79-86</pages>
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	       <fulltext_html>https://earthsciencespakistan.com/esp-02-2025-79-86/</fulltext_html>
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			<title type="main">Summary</title>
			
					<p>This study used the rainfall dataset collected for 1978-2015 in 8 rain stations located in Ha’il region. The purpose of this study is to analyze the variations and trends of rainfall events through a statistical analysis of data recorded. The analyze the rainfall variability has been processed using the coefficient of variation (CV) and Standardized Analyze Index (SAI) and plotted. While the rainfall trends have been analyzed by three statistically methods widely used: Simple Moving-Average (SMA), Homogeneity of variance (Hartley’s Fmax ratio) and Semi-averages. The trends analysis of annual rainfall shows that the fluctuations or variations in climatic parameters is a recurring phenomena in the studied stations. Inter-annual variability of rainfall and the cumulative frequency of rainy days are characterized by the high coefficients of variation. In addition, the values of Chi square test reveals the significant Standardized Anomaly Index (SAI) of rainfall. Accordingly, the results contain a total of 18 increasing trends (37.5%) and 30 decreasing trends (62.5%). These results indicate that the warming climate of Ha’il region is accelerating in recent decades, which may have severe socioeconomic repercussions in many sectors especially the agriculture and surface water resources.</p>
			</abstract>

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