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characterizing 寒冷日和寒冷期及其与孟加拉国与寒冷相关的死亡率的关系。

Characterizing Cold Days and Spells and Their Relationship with Cold-Related Mortality in Bangladesh.

机构信息

Department of Physics, Khulna University of Engineering and Technology, Khulna 9203, Bangladesh.

Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

出版信息

Sensors (Basel). 2023 Mar 5;23(5):2832. doi: 10.3390/s23052832.

Abstract

This research examined the characteristics of cold days and spells in Bangladesh using long-term averages (1971-2000) of maximum () and minimum temperatures () and their standard deviations (SD). Cold days and spells were calculated and their rate of change during the winter months (December-February) of 2000-2021 was quantified. In this research, a cold day was defined as when the daily maximum or minimum temperature is ≤-1.5 the standard deviations of the long-term daily average of maximum or minimum temperature and the daily average air temperature was equal to or below 17 °C. The results showed that the cold days were more in the west-northwestern regions and far less in the southern and southeastern regions. A gradual decrease in cold days and spells was found from the north and northwest towards the south and southeast. The highest number of cold spells (3.05 spells/year) was experienced in the northwest Rajshahi division and the lowest (1.70 spells/year) in the northeast Sylhet division. In general, the number of cold spells was found to be much higher in January than in the other two winter months. In the case of cold spell severity, Rangpur and Rajshahi divisions in the northwest experienced the highest number of extreme cold spells against the highest number of mild cold spells in the Barishal and Chattogram divisions in the south and southeast. While nine (out of twenty-nine) weather stations in the country showed significant trends in cold days in December, it was not significant on the seasonal scale. Adapting the proposed method would be useful in calculating cold days and spells to facilitate regional-focused mitigation and adaptation to minimize cold-related deaths.

摘要

本研究利用 1971-2000 年期间的最高温度()和最低温度()及其标准差(SD)的长期平均值来研究孟加拉国冷日和冷期的特征。计算了冷日和冷期,并量化了 2000-2021 年冬季(12 月至 2 月)期间它们的变化率。在本研究中,冷日被定义为当每日最高或最低温度≤-1.5 长期每日平均最高或最低温度的标准差,且日平均气温等于或低于 17°C 时。结果表明,冷日在西北-西北部地区更为常见,而在南部和东南部地区则相对较少。从北部和西北部到南部和东南部,冷日和冷期的数量逐渐减少。在西北部的拉杰沙希地区,冷期的数量最多(3.05 个/年),而在东北部的锡尔赫特地区,冷期的数量最少(1.70 个/年)。一般来说,冷期的数量在 1 月比其他两个月都要高。就冷期严重程度而言,西北部的朗布尔和拉杰沙希地区经历了极端寒冷天气的数量最多,而南部和东南部的巴里萨尔和吉大港地区则经历了最多的轻度寒冷天气。虽然该国 29 个气象站中有九个在 12 月的冷日显示出显著的趋势,但在季节性尺度上并不显著。采用拟议的方法计算冷日和冷期,有助于制定区域重点的缓解和适应措施,以减少与寒冷相关的死亡。

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