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...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fd7e872eba974c64a9f432808d32bd6d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:fd7e872eba974c64a9f432808d32bd6d |
---|---|
record_format |
dspace |
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 |
_version_ |
1718444078671069184 |