季节性对土耳其安纳托利亚中部半干旱内流盆地降水和温度时间序列趋势和长期持续性的影响

Cihangir Koycegiz
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The purpose of this study is to look at the effect of seasonality on the trend and long-term persistence of precipitation and temperature time series in the Konya Endorheic Basin, a semi-arid basin in central Anatolia, Turkey. Seasonal-trend decomposition by locally estimated scatterplot smoothing was used to obtain a seasonality adjusted time series, and a comparative analysis with the original series was performed. The Mann–Kendall test and simple linear slope were used to determine monotonic trends. To observe long-term persistence, Hurst exponents were computed using the rescaled range analysis approach. The Onyutha trend test was then used to investigate the sub-trends. As a result, there is a significant increase in temperature. Precipitation is increasing in the west and east of the basin while decreasing in the north and south. The magnitude of the monotonic and sub-trend is enhanced by seasonal adjustment. Meanwhile, in the seasonally adjusted dataset, the Hurst exponent grew dramatically, reinforcing the long-term persistence. Seasonality has less of an impact on precipitation, which is more affected by local variability, than temperature.</p>","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Seasonality effect on trend and long-term persistence in precipitation and temperature time series of a semi-arid, endorheic basin in Central Anatolia, Turkey\",\"authors\":\"Cihangir Koycegiz\",\"doi\":\"10.2166/wcc.2024.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div data- reveal-group-><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&amp;Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"jwc-d-24-00019gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&amp;Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\\\"data-reveal\\\"><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&amp;Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"jwc-d-24-00019gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&amp;Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&amp;Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>In climate change research, it is vital to have knowledge about future changes in the trends of climatological time series. 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Meanwhile, in the seasonally adjusted dataset, the Hurst exponent grew dramatically, reinforcing the long-term persistence. 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引用次数: 0

摘要

查看 largeDownload 幻灯片查看 largeDownload 幻灯片 关闭模态在气候变化研究中,了解气候时间序列趋势的未来变化至关重要。本研究的目的是探讨季节性对土耳其安纳托利亚中部半干旱盆地--科尼亚恩多尔海克盆地降水和气温时间序列的趋势和长期持续性的影响。通过局部估计散点图平滑法进行季节趋势分解,得到季节性调整后的时间序列,并与原始序列进行比较分析。Mann-Kendall 检验和简单线性斜率用于确定单调趋势。为观察长期持续性,使用重标度范围分析方法计算了赫斯特指数。然后使用 Onyutha 趋势检验来研究次趋势。结果显示,气温显著上升。盆地西部和东部降水量增加,而北部和南部降水量减少。经季节调整后,单调趋势和副趋势的幅度都有所增强。同时,在经过季节调整的数据集中,赫斯特指数急剧增长,加强了长期持续性。与气温相比,季节性对降水的影响较小,降水受局地变化的影响更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonality effect on trend and long-term persistence in precipitation and temperature time series of a semi-arid, endorheic basin in Central Anatolia, Turkey
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In climate change research, it is vital to have knowledge about future changes in the trends of climatological time series. The purpose of this study is to look at the effect of seasonality on the trend and long-term persistence of precipitation and temperature time series in the Konya Endorheic Basin, a semi-arid basin in central Anatolia, Turkey. Seasonal-trend decomposition by locally estimated scatterplot smoothing was used to obtain a seasonality adjusted time series, and a comparative analysis with the original series was performed. The Mann–Kendall test and simple linear slope were used to determine monotonic trends. To observe long-term persistence, Hurst exponents were computed using the rescaled range analysis approach. The Onyutha trend test was then used to investigate the sub-trends. As a result, there is a significant increase in temperature. Precipitation is increasing in the west and east of the basin while decreasing in the north and south. The magnitude of the monotonic and sub-trend is enhanced by seasonal adjustment. Meanwhile, in the seasonally adjusted dataset, the Hurst exponent grew dramatically, reinforcing the long-term persistence. Seasonality has less of an impact on precipitation, which is more affected by local variability, than temperature.

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