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A Pilot Study to Identify Factors Affecting UV-B Radiation Exposure in Selected Microenvironments

机译:识别选定微环境中影响UV-B辐射的因素的初步研究

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A pilot study was conducted to test a protocol for collecting data useful for identifying local factors affecting exposure to ultraviolet-B radiation (UV-B). A trained technician followed a prepared script through a series of microenvironments representing varying conditions of overhead shielding and ground cover while collecting UV-B irradiance and related data on days selected to represent varying conditions of solar radiation, cloud cover, groundlevel ozone concentration, and fine particulate matter (PM2.5) concentration. The resulting data were combined with air pollution, UV-B, and meteorological data obtained from local fixed-site monitoring stations and analyzed to identify the principal factors affecting (1) UVI (UV Index) measured by the Safe Sun monitor and (2) fixed-site UV-B. Results of these analyses indicated that the best predictors of UVI were degree of shielding, solar angle, fixed-site UV-B, cloud cover, wind speed, time of day, and season. Although cloud cover was an important predictor of UVI, the clearest days did not correspond to the highest UVI values. Variations in cloud parameters can cause intraday UVI variations not reflected in a daily forecast. Residential outdoor microenvironments tended to have lower mean UVI values than outdoor recreation microenvironments (e.g., athletic field, pool), which may have implications for estimating total personal exposure to UV-B.
机译:进行了一项初步研究,以测试用于收集数据的协议,该协议可用于识别影响暴露于紫外线B辐射(UV-B)的局部因素。训练有素的技术人员按照准备好的脚本操作,通过一系列微环境来表示高架护罩和地面覆盖物的变化情况,同时在选定的日期收集UV-B辐照度和相关数据以代表太阳辐射,云层覆盖,地面臭氧浓度和精细度的变化条件颗粒物(PM2.5)浓度。将所得数据与从本地固定站点监测站获得的空气污染,UV-B和气象数据相结合,并进行分析,以找出影响(1)安全太阳监测器测量的UVI(紫外线指数)和(2)的主要因素。固定位置UV-B。这些分析的结果表明,紫外线指数的最佳预测指标是遮挡程度,太阳角,固定地点的紫外线-B,云量,风速,一天中的时间和季节。尽管云量是紫外线指数的重要预测指标,但最晴朗的日子并不对应于最高紫外线指数。云参数的变化可能会导致日内UVI变化未反映在每日预报中。与室外休闲微环境(例如运动场,游泳池)相比,住宅室外微环境的平均UVI值往往较低,这可能对估算个人对UV-B的总暴露量有影响。

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