{"title":"Gravity center trend analysis (GCTA) as a new method for determining the trends of hydro-meteorological data","authors":"Mahsum Aydin","doi":"10.1016/j.asej.2025.103278","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces Gravity Centre Trend Analysis (GCTA), a new method developed to analyse the trends of time series without any data constraints. The method provides both graphical identification of trends and easy calculation of trend magnitude. In the study, the applicability of GCTA is tested using monthly precipitation data and global land–ocean temperature index between 1869–2018 in New York Central Park. The findings revealed that there is a general increasing trend in annual precipitation data, but this trend shows periodic changes in monthly data. Significant increasing trends were found in April, May and November, while decreasing trends were found in February, July and October. An increasing trend was detected in the Global Land-Ocean index data. It was evaluated that the negative impact of this increase in global warming on precipitation regimes will increase in the coming years and the frequency of flood and drought events in the region may increase.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103278"},"PeriodicalIF":6.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792500019X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces Gravity Centre Trend Analysis (GCTA), a new method developed to analyse the trends of time series without any data constraints. The method provides both graphical identification of trends and easy calculation of trend magnitude. In the study, the applicability of GCTA is tested using monthly precipitation data and global land–ocean temperature index between 1869–2018 in New York Central Park. The findings revealed that there is a general increasing trend in annual precipitation data, but this trend shows periodic changes in monthly data. Significant increasing trends were found in April, May and November, while decreasing trends were found in February, July and October. An increasing trend was detected in the Global Land-Ocean index data. It was evaluated that the negative impact of this increase in global warming on precipitation regimes will increase in the coming years and the frequency of flood and drought events in the region may increase.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.