Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts

In trend studies, classical approaches such as regression analysis and frequently used Mann-Kendall (MK) methods are bound to lose their usage due to their limitations and assumptions, due to their inability to meet their requirements in terms of binding conditions and knowledge. In order to use the...

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Main Author: Eyüp Şişman
Format: Article
Language:English
Published: Artvin Corun University 2019-07-01
Series:Doğal Afetler ve Çevre Dergisi
Subjects:
Online Access:http://dacd.artvin.edu.tr/tr/download/article-file/673418
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spelling doaj-b8a2579b55cd422591e94d3c871dd62b2020-11-25T02:06:54ZengArtvin Corun UniversityDoğal Afetler ve Çevre Dergisi2528-96402528-96402019-07-015229130410.21324/dacd.492730Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean CoastsEyüp Şişman0İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü, Kavacık, 34810, İstabul.In trend studies, classical approaches such as regression analysis and frequently used Mann-Kendall (MK) methods are bound to lose their usage due to their limitations and assumptions, due to their inability to meet their requirements in terms of binding conditions and knowledge. In order to use the regression approach for the trends and to obtain correct results, the data should fit into normal distribution, there is no internal dependency (autocorrelation), the measurements are accurate, equal variance, linearity acceptances should be investigated before each analysis. There are similar difficulties in the Mann-Kendall method, which results in no trend, increasing or decreasing trend insufficiency in engineering practices. In this study, the trends in Sea Surface Temperature (SST) and their mathematical structures are examined. The trends in different stations are compared with the suggested model. SST was recorded at four stations between 1960 and 2009.The increasing trend towards the period of 2000-2009 shows itself. The trends during of 2000-2009 period is especially striking for the Mediterranean region. However, when the model graphs are examined, there are decreasing trends that emerged in 4 different durations (1970-1979, 1980-1989, 1990-1999, 2000-2009) compared to the 1960-1969 duration, which was selected as the reference year. Depending on the reality of climate change, the neutrality of the observed data 1960-1969 should be questioned.http://dacd.artvin.edu.tr/tr/download/article-file/673418trend analysissea surface temperatureinnovative trend analysisturkey
collection DOAJ
language English
format Article
sources DOAJ
author Eyüp Şişman
spellingShingle Eyüp Şişman
Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
Doğal Afetler ve Çevre Dergisi
trend analysis
sea surface temperature
innovative trend analysis
turkey
author_facet Eyüp Şişman
author_sort Eyüp Şişman
title Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
title_short Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
title_full Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
title_fullStr Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
title_full_unstemmed Trend Analysis for the Cooling Period for Sea Water Temperatures in Aegean and Mediterranean Coasts
title_sort trend analysis for the cooling period for sea water temperatures in aegean and mediterranean coasts
publisher Artvin Corun University
series Doğal Afetler ve Çevre Dergisi
issn 2528-9640
2528-9640
publishDate 2019-07-01
description In trend studies, classical approaches such as regression analysis and frequently used Mann-Kendall (MK) methods are bound to lose their usage due to their limitations and assumptions, due to their inability to meet their requirements in terms of binding conditions and knowledge. In order to use the regression approach for the trends and to obtain correct results, the data should fit into normal distribution, there is no internal dependency (autocorrelation), the measurements are accurate, equal variance, linearity acceptances should be investigated before each analysis. There are similar difficulties in the Mann-Kendall method, which results in no trend, increasing or decreasing trend insufficiency in engineering practices. In this study, the trends in Sea Surface Temperature (SST) and their mathematical structures are examined. The trends in different stations are compared with the suggested model. SST was recorded at four stations between 1960 and 2009.The increasing trend towards the period of 2000-2009 shows itself. The trends during of 2000-2009 period is especially striking for the Mediterranean region. However, when the model graphs are examined, there are decreasing trends that emerged in 4 different durations (1970-1979, 1980-1989, 1990-1999, 2000-2009) compared to the 1960-1969 duration, which was selected as the reference year. Depending on the reality of climate change, the neutrality of the observed data 1960-1969 should be questioned.
topic trend analysis
sea surface temperature
innovative trend analysis
turkey
url http://dacd.artvin.edu.tr/tr/download/article-file/673418
work_keys_str_mv AT eyupsisman trendanalysisforthecoolingperiodforseawatertemperaturesinaegeanandmediterraneancoasts
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