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Methods for Estimating Wet Bulb Globe Temperature From Remote and Low Cost Data: A Comparative Study in Central Alabama

机译:从遥控估计湿灯泡全球温度的方法和<! - [?a3b2显示$ 132#?] - >低<! - [?a3b2显示$ 132#?] - > - <! - [吗?A3B2 SHOW $ 132#?] - >成本数据:比较<! - [? - [?a3b2显示6#?] - >在阿拉巴马州中部学习

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    摘要

    Heat stress is a significant health concern that can lead to illness, injury, and mortality. The wet bulb globe temperature (WBGT) index is one method for monitoring environmental heat risk. Generally, WBGT is estimated using a heat stress monitor that includes sensors capable of measuring ambient, wet bulb, and black globe temperature, and these measurements are combined to calculate WBGT. However, this method can be expensive, time consuming, and requires careful attention to ensure accurate and repeatable data. Therefore, researchers have attempted to use standard meteorological measurements, using single data sources as an input (e.g., weather stations) to calculate WBGT. Building on these efforts, we apply data from a variety of sources to calculate WBGT, understand the accuracy of our estimated equation, and compare the performance of different sources of input data. To do this, WBGT measurements were collected from Kestrel 5400 Heat Stress Trackers installed in three locations in Alabama. Data were also drawn from local weather stations, North American Land Data Assimilation System (NLDAS), and low cost iButton hygrometers. We applied previously published equations for estimating natural wet bulb temperature, globe temperature, and WBGT to these diverse data sources. Correlation results showed that WBGT estimates derived from all proxy data sources—weather station, weather station/ iButton, NLDAS, NLDAS/ iButton—were statistically indistinguishable from each other, or from the Kestrel measurements, at two of the three sites. However, at the same two sites, the addition of iButtons significantly reduced root mean square error and bias compared to other methods. Plain Language Summary Heat stress is a buildup of body heat that can lead to illness, injury, or death. One method for estimating heat stress is an index called wet bulb globe temperature (WBGT). The index is usually measured with a monitor that records three types of temperature measurements and combines them. However, this method can be expensive, time consuming, and requires careful attention. Therefore, researchers have tried to use standard measurements such as wind speed, temperature, humidity, etc., to calculate WBGT. Building on these efforts, we wanted to determine if it was possible to accurately calculate WBGT with a variety of inexpensive data sources in central Alabama. We used previously published equations to estimate WBGT. Results showed that all proxy methods accurately estimated WBGT in two Alabama locations, but that using local measurements did change estimates of the number of potentially dangerous heat episodes relative to estimates that rely on remote sources of weather data. The ability to use easily accessible measurements could be a powerful tool for studies and interventions related to heat stress. Key Points A variety of proxy methods offered reasonable estimates of wet bulb globe temperature (WBGT) in downtown and suburban Birmingham, AL Estimating WBGT from easily accessible measurements could be a powerful tool for studies and interventions related to heat stress
    机译:热应激是一种重要的健康问题,可以导致疾病,伤害和死亡率。湿灯泡全球温度(WBGT)指数是监测环境热风险的一种方法。通常,使用热应激监测器估计WBGT,该热应激监测包括能够测量环境,湿灯泡和黑球温度的传感器,并且这些测量组合以计算WBGT。但是,这种方法可能是昂贵的,耗时的耗时,并且需要仔细注意,以确保准确和可重复的数据。因此,研究人员试图使用标准的气象测量,使用单个数据来源作为输入(例如,气象站)来计算WBGT。建立在这些努力中,我们从各种来源应用数据来计算WBGT,了解我们估计的公式的准确性,并比较不同输入数据的性能。为此,从Alabama的三个地点安装在kestrel 5400热应力跟踪器中收集WBGT测量。数据也来自当地的气象站,北美土地数据同化系统(NLDAS)和低成本IButton Hygromers。我们应用了以前公布的用于估计天然湿灯泡温度,全球温度和WBGT的方程,以其对这些不同的数据来源。相关结果表明,WBGT估计来自所有代理数据源 - 气象站,气象站/ iButton,NLDAS,NLDAS / IButton - 在三个站点中的两个站点中统计地难以区分,或者来自茶隼。然而,在同一两个站点,与其他方法相比,添加伊巴顿的添加显着减少了根均方误差和偏差。普通语言概要热应力是可以导致疾病,伤害或死亡的体热的堆积。一种估计热应力的方法是称为湿灯泡全球温度(WBGT)的指数。该索引通常用监视器测量,该监视器记录三种温度测量并结合它们。然而,这种方法可能是昂贵的,耗时的耗时,并且需要仔细注意。因此,研究人员试图使用风速,温度,湿度等的标准测量来计算WBGT。建立这些努力,我们想确定是否有可能在阿拉巴马州中部有各种廉价的数据来源准确地计算WBGT。我们使用先前公布的方程来估计WBGT。结果表明,所有代理方法都在两种阿拉巴马州位置准确地估计了WBGT,但是使用本地测量的估计是相对于依赖远程天气数据源的估计变更潜在危险的热集数的估计。使用易于访问的测量的能力可能是与热应激相关的研究和干预的强大工具。关键点各种代理方法提供了可合理估计的湿灯泡全球温度(WBGT),在市中心和郊区伯明翰,估计WBGT从易于访问的测量可能是有关与热应激相关的研究和干预的强大工具

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