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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran Press</PublisherName>
				<JournalTitle>Journal of Ecohydrology</JournalTitle>
				<Issn>2423-6098</Issn>
				<Volume>10</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>03</Month>
					<Day>15</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Estimating changes in the amount of water harvesting from air humidity and evapotranspiration due to climate change (CMIP6)</ArticleTitle>
<VernacularTitle>Estimating changes in the amount of water harvesting from air humidity and evapotranspiration due to climate change (CMIP6)</VernacularTitle>
			<FirstPage>555</FirstPage>
			<LastPage>573</LastPage>
			<ELocationID EIdType="pii">95958</ELocationID>
			
<ELocationID EIdType="doi">10.22059/ije.2024.367096.1768</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hadi</FirstName>
					<LastName>Ramezani Etedali</LastName>
<Affiliation>Associate Professor, Faculty of Agriculture and Natural Resources, Imam Khomeini International University Qazvin, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Zahra</FirstName>
					<LastName>Partovi</LastName>
<Affiliation>PhD Student of irrigation and drainage, Imam Khomeini International University Qazvin, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Sakine</FirstName>
					<LastName>Koohi</LastName>
<Affiliation>PhD Student of water resources management, Imam Khomeini International University Qazvin, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>09</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>This research aims to investigate the impact of climate change based on the sixth report (CMIP) under two scenarios SSP3_7.0 and SSP5_8.5 on forecasting temperature, wind speed, evaporation-transpiration (ET), and the amount of extractable water (Q) by two CNRM models and ESM was at 16 meteorological stations during the future period of 2025-2044 and 2045-2064. The statistical analysis results showed that the impact of climate change under two scenarios on temperature, ET and Q was significant. CNRM model performed better than ESM in temperature estimation (CC=0.96-0.98). From examining the results of the CNRM model, the maximum and minimum RMSE of temperature in Khormadreh and Zanjan stations were 8.30 and -0.5 , respectively; Also, the RMSE value of wind speed fluctuated between 0.82-0.5 m.s&lt;sup&gt;-1&lt;/sup&gt;. The examination of ESM model showed the fluctuation of RMSE between 2.55-8.45  in temperature parameter and 0.62-0.68 meters per second in wind speed. The maximum and minimum values of Q and ET in the seasonal survey occurred in summer and winter, respectively. Both models had poor performance in predicting wind speed. The maximum ET under the SSP5_8.5 scenario by the CNRM model (first period) at Khorramdare station is equal to 104.29 mm.month&lt;sup&gt;-1&lt;/sup&gt; and the minimum value by the ESM model (first period) under the SSP3_7.0 scenario at Firuzkoh station is equal to 25.60 mm.month&lt;sup&gt;-1&lt;/sup&gt; was estimated. The maximum Q under the SSP3_7.0 scenario by the ESM model (first period) at Malair station is equal to 20.70 Lit.day.m&lt;sup&gt;-2&lt;/sup&gt; and the minimum value by the CNRM model (second period) under the SSP3_7.0 scenario at the Astara station is equal to 0.3 Lit.day.m&lt;sup&gt;-2&lt;/sup&gt; were estimated.</Abstract>
			<OtherAbstract Language="FA">This research aims to investigate the impact of climate change based on the sixth report (CMIP) under two scenarios SSP3_7.0 and SSP5_8.5 on forecasting temperature, wind speed, evaporation-transpiration (ET), and the amount of extractable water (Q) by two CNRM models and ESM was at 16 meteorological stations during the future period of 2025-2044 and 2045-2064. The statistical analysis results showed that the impact of climate change under two scenarios on temperature, ET and Q was significant. CNRM model performed better than ESM in temperature estimation (CC=0.96-0.98). From examining the results of the CNRM model, the maximum and minimum RMSE of temperature in Khormadreh and Zanjan stations were 8.30 and -0.5 , respectively; Also, the RMSE value of wind speed fluctuated between 0.82-0.5 m.s&lt;sup&gt;-1&lt;/sup&gt;. The examination of ESM model showed the fluctuation of RMSE between 2.55-8.45  in temperature parameter and 0.62-0.68 meters per second in wind speed. The maximum and minimum values of Q and ET in the seasonal survey occurred in summer and winter, respectively. Both models had poor performance in predicting wind speed. The maximum ET under the SSP5_8.5 scenario by the CNRM model (first period) at Khorramdare station is equal to 104.29 mm.month&lt;sup&gt;-1&lt;/sup&gt; and the minimum value by the ESM model (first period) under the SSP3_7.0 scenario at Firuzkoh station is equal to 25.60 mm.month&lt;sup&gt;-1&lt;/sup&gt; was estimated. The maximum Q under the SSP3_7.0 scenario by the ESM model (first period) at Malair station is equal to 20.70 Lit.day.m&lt;sup&gt;-2&lt;/sup&gt; and the minimum value by the CNRM model (second period) under the SSP3_7.0 scenario at the Astara station is equal to 0.3 Lit.day.m&lt;sup&gt;-2&lt;/sup&gt; were estimated.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Evapotranspiration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">temperature</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CNRM</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ESM</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ije.ut.ac.ir/article_95958_c54e60fac8d21bb6c020f2f948c89d16.pdf</ArchiveCopySource>
</Article>
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