The effect of urbanization on temperature indices in the Philippines
The effect of urbanization on temperature indices in the Philippines
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DOI：
10.1002/joc.7276
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
J. Manalo;J. Matsumoto;Hiroshi G. Takahashi;M. Villafuerte;L. Olaguera;G. Ren;T. Cinco
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文献类型：
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作者：
J. Manalo;J. Matsumoto;Hiroshi G. Takahashi;M. Villafuerte;L. Olaguera;G. Ren;T. Cinco
本文综合分析了1951年至2018年菲律宾城市化对地表气温的影响。利用34个气象站的日最低气温（Tmin）和日最高气温（Tmax）资料，推导了极端气温指数。这些车站然后根据卫星夜间灯光被分类为城市或农村。结果表明，城市和农村台站之间的SAT趋势存在显著差异，表明该国城市化的影响。与Tmin相关的指数比与Tmax相关的指数有更大和更显著的变暖趋势。特别是，城市化的影响显着的年度指数系列的Tmin，日较差，最低Tmin，当Tmin小于第10百分位数（TN 10 p）的天数百分比，当Tmin大于第90百分位数（TN 90 p）的天数百分比，和最冷的夜晚的数量。城市化对最大Tmax（TXx）、最小Tmax（TXn）、Tmax小于第10百分位数的天数百分比（TX 10 p）和最热天数的影响不明显。城市化对极端温度指数年序列的影响在95%的置信水平上具有统计学意义，但Tmax，TXn，TXx，TX 10 p和最热天数除外。进一步分析表明，城市化的影响在DJF（12月-1月-2月）季节最大。这些调查结果作为一项基线研究，侧重于城市化对菲律宾SAT趋势的全国影响。
This paper presents a comprehensive analysis of the effect of urbanization on the surface air temperature (SAT) from 1951 to 2018 in the Philippines. The daily minimum temperature (Tmin) and daily maximum temperature (Tmax) records from 34 meteorological stations were used to derive extreme temperature indices. These stations were then classified as urban or rural based on satellite night‐lights. The results showed a significant difference in the SAT trends between urban and rural stations, indicative of the effect of urbanization in the country. Larger and more significant warming trends were observed in indices related to Tmin than those related to Tmax. In particular, the effects of urbanization were significant in the annual index series of Tmin, diurnal temperature range, minimum Tmin, percentage of days when Tmin was less than the 10th percentile (TN10p), percentage of days when Tmin was greater than 90th percentile (TN90p), and the number of coldest nights. The effects of urbanization were not as clear on the index series of maximum Tmax (TXx), minimum Tmax (TXn), percentage of days when Tmax was less than 10th percentile (TX10p), and the number of hottest days. The effects of urbanization on the annual series of extreme temperature indices were statistically significant at the 95% confidence level, with the exception of Tmax, TXn, TXx, TX10p, and the number of hottest days. Further analysis revealed that the effect of urbanization was the greatest during the DJF (December–January–February) season. These findings serve as a baseline study that focuses on the countrywide effect of urbanization on SAT trends in the Philippines.