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首页> 外文期刊>ournal of the Meteorological Society of Japan >An Updated Estimate of the Urban Heat Island Effect on Observed Local Warming Trends in Mainland China's 45 Urban Stations
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An Updated Estimate of the Urban Heat Island Effect on Observed Local Warming Trends in Mainland China's 45 Urban Stations

机译:城市热岛对中国大陆地区局部变暖趋势的更新估计

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Observed surface air temperature (SAT) warming at urban stations often contains both the signal of global warming and that of local urban heat island (UHI) effects; these signals are difficult to separate. In this study, an urban impact indicator (Uii) developed by the authors was modified to represent the extent to which the observed temperature from a given station was influenced by UHI effects. The Uii of a city was calculated by simplifying the city's shape to a circle. In addition, a modified Uii (MUii) was calculated by considering the realistic horizontal distribution of the urban land. We selected 45 urban stations in mainland China, along with an adjacent station for each to give a station pair. Background climate changes across each pair were near-homogeneous. Thus, differences in the trends of annual averaged daily mean SAT (Trendmean), maximum SAT (Trendmax), and minimum SAT (Trendmin) between the urban and adjacent stations (ΔTrend) could be mainly attributed to differences in MUii changes between the urban and adjacent stations (ΔMUii). Several linear regressions between ΔTrend and ΔMUii for the 45 station pairs were calculated to estimate UHI effects on Trendmean (UTmean), Trendmax (UTmax), and Trendmin (UTmin). The results showed that the mean MUii of the 45 urban stations increased from 0.06 to 0.35 during 1992–2013. Positive correlations between ΔMUii and ΔTrend for the 45 station pairs were significant at the 0.001 significance level (except for Trendmax). The average UTmean and UTmin of the 45 urban stations during 1954–2013 were approximately 0.05 and 0.11°C decade?1, respectively, accounting for 18 % and 31 % of the overall warming trends, respectively. The UTmin estimated in this study is about twice that of previous results based on regression equations between Uii and SAT trends.
机译:观察到的表面空气温度(SAT)在城市站上变暖通常包含全球变暖的信号,以及当地城市热岛(UHI)的影响;这些信号难以分离。在这项研究中,作者开发的城市影响指标(UII)被修改为表示通过UHI效应的观测到的温度影响的程度。通过将城市的形状简化到圆圈来计算一个城市的UII。此外,通过考虑城市土地的现实水平分布来计算修改的UII(MUII)。我们在中国大陆选择了45个城市站,以及每个邻近的站,每个站都给一对。每对的背景气候变化近乎均匀。因此,城市和相邻站之间的年度平均每日平均趋势(Trendmean)的趋势(Trendmean),最多SAT(Trendmax)和最小坐立(Trendmin)(Δtrend)可能主要归因于城市和城市和城市之间MUII变化的差异。相邻站(Δmuii)。计算45站对的ΔTrend和ΔMuii之间的几个线性回归,以估计对Trendmean(UTMean),Trendmax(UTMAX)和Trendmin(Utmin)的UHI效应。结果表明,1992 - 2013年,45个城市站的平均MUII从0.06增加到0.35。对于45站对的ΔMuii和Δtrend之间的正相关性在0.001的意义水平下显着(Trendmax除外)。 1954 - 2013年45个城市站的平均Utmean和utmin分别为约0.05和0.11°C十年?1,分别占整体变暖趋势的18%和31%。本研究估计的utmin是基于UII和SAT趋势之间的回归方程的先前结果的两倍。

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