Loading…

Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method

This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a wh...

Full description

Saved in:
Bibliographic Details
Published in:Journal of water and climate change 2024-05, Vol.15 (5), p.2446-2463
Main Authors: Ceyhunlu, Ahmet Iyad, Ceribasi, Gokmen
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293
container_end_page 2463
container_issue 5
container_start_page 2446
container_title Journal of water and climate change
container_volume 15
creator Ceyhunlu, Ahmet Iyad
Ceribasi, Gokmen
description This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.
doi_str_mv 10.2166/wcc.2024.041
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_9e1eec43325e4ceebb526df00875cdcd</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_9e1eec43325e4ceebb526df00875cdcd</doaj_id><sourcerecordid>3067440735</sourcerecordid><originalsourceid>FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293</originalsourceid><addsrcrecordid>eNo9UU1rGzEQXUoLDWlu_QGCXrvurD5Wq2MwSRMI9OK7mJXGjlx7tZG0Dv73UerQuczweO_NDK9pvnew4l3f_3p1bsWByxXI7lNzxSUMrRFKfq4zSGg5l_Jrc5PzHmopZQQMVw2tn3HaUWZhYnMiF-ZQsIQ4MZw8w5BYoeNMCcuSiMUTJbZZ0l86syWHaVdlUzxVwYlYSVQlczjFUsV4OOeQ2ZHKc_Tfmi9bPGS6-ejXzeb-brN-aJ_-_H5c3z61jitZWjGOQJ33XuJW90aZcVADajMqwBG1186AMaAR3KC0UBUCoTX1hIDciOvm8WLrI-7tnMIR09lGDPYfENPOYirBHcga6oicFIIrko5oHBXv_RZg0Mp556vXj4vXnOLLQrnYfVxSfStbAb2WEuoBlfXzwnIp5pxo-39rB_Y9Fltjse-x2BqLeAPimoHV</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3067440735</pqid></control><display><type>article</type><title>Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method</title><source>Alma/SFX Local Collection</source><creator>Ceyhunlu, Ahmet Iyad ; Ceribasi, Gokmen</creator><creatorcontrib>Ceyhunlu, Ahmet Iyad ; Ceribasi, Gokmen</creatorcontrib><description>This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.</description><identifier>ISSN: 2040-2244</identifier><identifier>EISSN: 2408-9354</identifier><identifier>DOI: 10.2166/wcc.2024.041</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Air temperature ; Climate change ; Hydrologic data ; Hydrology ; Innovations ; itpam ; Methods ; Monthly ; Precipitation ; Precipitation data ; Standard deviation ; Temperature data ; Time series ; Trend analysis ; Trends ; turkey</subject><ispartof>Journal of water and climate change, 2024-05, Vol.15 (5), p.2446-2463</ispartof><rights>Copyright IWA Publishing 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293</cites><orcidid>0000-0003-3145-418X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ceyhunlu, Ahmet Iyad</creatorcontrib><creatorcontrib>Ceribasi, Gokmen</creatorcontrib><title>Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method</title><title>Journal of water and climate change</title><description>This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.</description><subject>Air temperature</subject><subject>Climate change</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Innovations</subject><subject>itpam</subject><subject>Methods</subject><subject>Monthly</subject><subject>Precipitation</subject><subject>Precipitation data</subject><subject>Standard deviation</subject><subject>Temperature data</subject><subject>Time series</subject><subject>Trend analysis</subject><subject>Trends</subject><subject>turkey</subject><issn>2040-2244</issn><issn>2408-9354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNo9UU1rGzEQXUoLDWlu_QGCXrvurD5Wq2MwSRMI9OK7mJXGjlx7tZG0Dv73UerQuczweO_NDK9pvnew4l3f_3p1bsWByxXI7lNzxSUMrRFKfq4zSGg5l_Jrc5PzHmopZQQMVw2tn3HaUWZhYnMiF-ZQsIQ4MZw8w5BYoeNMCcuSiMUTJbZZ0l86syWHaVdlUzxVwYlYSVQlczjFUsV4OOeQ2ZHKc_Tfmi9bPGS6-ejXzeb-brN-aJ_-_H5c3z61jitZWjGOQJ33XuJW90aZcVADajMqwBG1186AMaAR3KC0UBUCoTX1hIDciOvm8WLrI-7tnMIR09lGDPYfENPOYirBHcga6oicFIIrko5oHBXv_RZg0Mp556vXj4vXnOLLQrnYfVxSfStbAb2WEuoBlfXzwnIp5pxo-39rB_Y9Fltjse-x2BqLeAPimoHV</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Ceyhunlu, Ahmet Iyad</creator><creator>Ceribasi, Gokmen</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3145-418X</orcidid></search><sort><creationdate>20240501</creationdate><title>Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method</title><author>Ceyhunlu, Ahmet Iyad ; Ceribasi, Gokmen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Air temperature</topic><topic>Climate change</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Innovations</topic><topic>itpam</topic><topic>Methods</topic><topic>Monthly</topic><topic>Precipitation</topic><topic>Precipitation data</topic><topic>Standard deviation</topic><topic>Temperature data</topic><topic>Time series</topic><topic>Trend analysis</topic><topic>Trends</topic><topic>turkey</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ceyhunlu, Ahmet Iyad</creatorcontrib><creatorcontrib>Ceribasi, Gokmen</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Directory of Open Access Journals</collection><jtitle>Journal of water and climate change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ceyhunlu, Ahmet Iyad</au><au>Ceribasi, Gokmen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method</atitle><jtitle>Journal of water and climate change</jtitle><date>2024-05-01</date><risdate>2024</risdate><volume>15</volume><issue>5</issue><spage>2446</spage><epage>2463</epage><pages>2446-2463</pages><issn>2040-2244</issn><eissn>2408-9354</eissn><abstract>This study aims to investigate variability in precipitation and air temperature data of all provinces in Turkey. The Innovative Trend Pivot Analysis Method (ITPAM) was used to analyze the trend in precipitation (mm) and air temperature (oC) data of Turkey in this study. Analyzing the country as a whole using this method is one of the strengths of the study. 30-year data sets between 1991 and 2020 were analyzed. As a result of the study, trend analysis results of precipitation and air temperature data of 81 provinces in Turkey were obtained. The significance level in trends was determined as 5%. Forty-one percent of monthly total precipitation data of Turkey showed an increasing trend, 41% showed a decreasing trend, while 18% showed no trend in this study. In the standard deviation of precipitation data, 44% of the data showed an increasing trend, 42% showed a decreasing trend and 14% showed no trend. Moreover, it was concluded that there was an increasing trend of 67% in monthly average air temperature data and an increasing trend of 46% in the standard deviation data. According to these results, it is concluded that monthly average air temperature data has a largely increasing trend.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/wcc.2024.041</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-3145-418X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2040-2244
ispartof Journal of water and climate change, 2024-05, Vol.15 (5), p.2446-2463
issn 2040-2244
2408-9354
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_9e1eec43325e4ceebb526df00875cdcd
source Alma/SFX Local Collection
subjects Air temperature
Climate change
Hydrologic data
Hydrology
Innovations
itpam
Methods
Monthly
Precipitation
Precipitation data
Standard deviation
Temperature data
Time series
Trend analysis
Trends
turkey
title Changes in precipitation and air temperature over Turkey using innovative trend pivot analysis method
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T17%3A40%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Changes%20in%20precipitation%20and%20air%20temperature%20over%20Turkey%20using%20innovative%20trend%20pivot%20analysis%20method&rft.jtitle=Journal%20of%20water%20and%20climate%20change&rft.au=Ceyhunlu,%20Ahmet%20Iyad&rft.date=2024-05-01&rft.volume=15&rft.issue=5&rft.spage=2446&rft.epage=2463&rft.pages=2446-2463&rft.issn=2040-2244&rft.eissn=2408-9354&rft_id=info:doi/10.2166/wcc.2024.041&rft_dat=%3Cproquest_doaj_%3E3067440735%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c254t-3bb0e1ddd4af76959b858a79b50aba7d7c909907a0c85735a7d0377e6ea0a293%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3067440735&rft_id=info:pmid/&rfr_iscdi=true