南美洲和中美洲的气候和热指数、人类不适指数和人均能量的趋势

Qurat Faiz, Jorge E. González
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引用次数: 1

摘要

在温暖潮湿的气候中,空气温度和湿度都会影响人体的舒适和健康。测量温度和湿度对人体舒适(或不适)的总体影响的一种有效方法是使用所谓的热指数(HI)。高温指数衡量的是人们在暴露于温暖潮湿环境时的“感觉”,使其成为解释高温对人的影响、发出高温警告和改革公共卫生政策的有效变量。显然,热指数是一个随地理和气候季节变化而变化的变量。本研究旨在探讨美国大陆(CONUS)和中美洲(加勒比海和南美洲北部地区)的热指数和人均能量(EPC)的时空变化趋势。为了研究南美洲和中美洲不同地区热指数和EPC的时空分布和变化趋势,利用两个来源的逐时气温和相对湿度数据进行了研究;美国国家大气研究中心(NCEP)北美区域再分析(NARR)和气象站1990年至2019年三十年的数据。我们研究中用于确定HI的算法类似于国家气象局(NWS)使用的以华氏度(T)测量空气温度和以百分比(RH)测量相对湿度的算法。对美国东南部和中美洲夏季的HI和EPC气候学分析显示,美国东南部的数值最大,其次是大安的列斯群岛,然后是小安的列斯群岛。本文使用HI来量化这些变暖趋势对EPC的影响。分析结果显示,大安的列斯群岛南部夏季的总发电量为每年2千瓦时。利用NARR数据发现,这些空间趋势与选定气象站的相关性非常好,并且在统计上也具有显著性。总的来说,各州每年人均用电量的趋势(图5)表明,人均总能耗趋势与最大热指数的增加之间存在相关性。因此,由于气候变暖,需要增加能源生产和改善能源基础设施,以保持理想的室内建筑条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climatology and Trends of Heat Index, Human Discomfort Index and Energy per Capita for CONUS and Meso-America
Air temperature and humidity both affect the human comfort and health in warm and humid climates. An effective way to measure the overall effect of temperature and humidity on human comfort (or discomfort) is using the term referred as Heat Index (HI). The HI is a measure of how people “feel” when exposed to warm and humid environments, making it an effective variable to explain the effects of heat in people, to alert of heat advisories, and to reform public health policies. Evidently, heat index is a changing variable with geography and with climate seasons and change. This research aims to investigate the spatial and temporal trends of Heat Index and energy per capita (EPC) in the Continental US (CONUS) and the Meso-America (the Caribbean, and Northern Regions of South America). In order to investigate the spatial and temporal distribution and trends of heat index and EPC in different regions of the CONUS and the Meso-America, hourly air temperature and relative humidity datasets were collected from two sources; The National Center for Atmospheric Research (NCEP) North American Regional Reanalysis (NARR) and weather stations for the period of thirty years: 1990 to 2019. The Algorithm used in our study to determine the HI is similar to the one used by the National Weather Service (NWS) measuring air temperature in degrees Fahrenheit (T) and relative humidity in percent (RH). Our analysis of the HI and EPC climatology for the summer season for Southeast US and the Meso-America exhibits the largest values in Southeast US, followed by the Greater Antilles, and then the Lesser Antilles. HI is used herein to quantify the impacts of these warming trends on EPC. Results of the analysis depict a Southern Greater Antilles with a positive EPC rate of 2 kWh per year for summer season. These spatial trends using NARR data were found to correlate very well with selected weather stations and were also determined to be statistically significant. The state level trends of electricity consumption per person per year (Figure 5.) suggests, in general, a correlation between trends on total energy consumption per capita and increasing maximum heat index. Therefore, increased energy production and improved energy infrastructure will be required to maintain ideal indoor building conditions as consequence of a warmer climate.
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