Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method

The effects of climate change caused by global warming can be seen in changes of climate variables such as precipitation, humidity, and temperatures. These effects of global climate change can be interpreted as a result of the examination of meteorological parameters. One of the most effective metho...

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Autores principales: Gokmen Ceribasi, Ahmet Iyad Ceyhunlu
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:fd7e872eba974c64a9f432808d32bd6d2021-11-05T19:01:31ZAnalysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method2040-22442408-935410.2166/wcc.2020.253https://doaj.org/article/fd7e872eba974c64a9f432808d32bd6d2021-08-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/5/1532https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The effects of climate change caused by global warming can be seen in changes of climate variables such as precipitation, humidity, and temperatures. These effects of global climate change can be interpreted as a result of the examination of meteorological parameters. One of the most effective methods to investigate these effects is trend analysis. The Innovative Polygon Trend Analysis (IPTA) method is a trend analysis method that has emerged in recent years. The distinctive features of this method compared with other trend methods are that it depends on time series and can compare data series among themselves. Therefore, in this study, the IPTA method was applied to total monthly precipitation data of Susurluk Basin, one of Turkey's important basins. Data from ten precipitation observation stations in Susurluk Basin were used. Data were provided by the General Directorate of State Meteorology Affairs. The length of this data series was 12 years (2006–2017). As a result of the study, since there is no regular polygon in IPTA graphics of each station, it is seen that precipitation data varies by years. While this change is seen increasingly at some stations, it is seen decreasingly at other stations. HIGHLIGHTS Application Innovative Polygon Trend Analysis Method is for Susurluk Basin in Turkey.; Polygon trend analysis statistical values are derived.; Trend Length and Trend Slope components are identified.; The impact of climate change was investigated using innovative Polygon Trend Analysis Method.;Gokmen CeribasiAhmet Iyad CeyhunluIWA Publishingarticleinnovative polygon trend analysis (ipta)precipitationsusurluk basinturkeyEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 5, Pp 1532-1543 (2021)
institution DOAJ
collection DOAJ
language EN
topic innovative polygon trend analysis (ipta)
precipitation
susurluk basin
turkey
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle innovative polygon trend analysis (ipta)
precipitation
susurluk basin
turkey
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Gokmen Ceribasi
Ahmet Iyad Ceyhunlu
Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
description The effects of climate change caused by global warming can be seen in changes of climate variables such as precipitation, humidity, and temperatures. These effects of global climate change can be interpreted as a result of the examination of meteorological parameters. One of the most effective methods to investigate these effects is trend analysis. The Innovative Polygon Trend Analysis (IPTA) method is a trend analysis method that has emerged in recent years. The distinctive features of this method compared with other trend methods are that it depends on time series and can compare data series among themselves. Therefore, in this study, the IPTA method was applied to total monthly precipitation data of Susurluk Basin, one of Turkey's important basins. Data from ten precipitation observation stations in Susurluk Basin were used. Data were provided by the General Directorate of State Meteorology Affairs. The length of this data series was 12 years (2006–2017). As a result of the study, since there is no regular polygon in IPTA graphics of each station, it is seen that precipitation data varies by years. While this change is seen increasingly at some stations, it is seen decreasingly at other stations. HIGHLIGHTS Application Innovative Polygon Trend Analysis Method is for Susurluk Basin in Turkey.; Polygon trend analysis statistical values are derived.; Trend Length and Trend Slope components are identified.; The impact of climate change was investigated using innovative Polygon Trend Analysis Method.;
format article
author Gokmen Ceribasi
Ahmet Iyad Ceyhunlu
author_facet Gokmen Ceribasi
Ahmet Iyad Ceyhunlu
author_sort Gokmen Ceribasi
title Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
title_short Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
title_full Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
title_fullStr Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
title_full_unstemmed Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method
title_sort analysis of total monthly precipitation of susurluk basin in turkey using innovative polygon trend analysis method
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/fd7e872eba974c64a9f432808d32bd6d
work_keys_str_mv AT gokmenceribasi analysisoftotalmonthlyprecipitationofsusurlukbasininturkeyusinginnovativepolygontrendanalysismethod
AT ahmetiyadceyhunlu analysisoftotalmonthlyprecipitationofsusurlukbasininturkeyusinginnovativepolygontrendanalysismethod
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