丽水工业园区空气污染环境因素分析——利用大数据分析谷歌趋势致癌趋势

K. Choi, Bu-Soon Son, Wonho Yang
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摘要

根据工业地区的特点,空气污染对人体的毒性评价、风险评价和健康影响评价可能直接导致癌症。环境数据采集时间为2018年8月至2019年1月31日,分别为大气污染数据的平均值、最小值和最大值。据利用大数据(Big data)的全球趋势数据显示,高血压确诊率在世界排名第33位,在环境疾病中心肌梗塞确诊率低于韩国。考虑到我国的特点,在全罗南道工业园区发生的疾病被确定为代表性疾病。在韩国,空气污染物被认为是引起过敏性疾病的原因。发现PM10高于控制区(28.8804348(㎥)、31.7065217(㎥)、32.8532609(㎥)。中、高暴露区PM2.5的平均浓度比对照区低,但中暴露区最高的浓度分别为16.5978261(㎥)、16.1086957(㎥)和17.1847826(㎥)。丽水环境暴露的主要变量与高血压、慢性阻塞性肺疾病(COPD)、支气管炎、脑血管病、糖尿病、甲状腺疾病、鼻窦感染、贫血和肺炎相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Environmental Factors Caused by Exposure to Air Pollution in Yeosu Industrial Complex: Analyzing Google Trend Trends in Cancer Generation Through Big Data
Depending on the characteristics of the industrial area, toxicity evaluation of human body, risk assessment and health impact assessment may directly cause cancer due to air pollution. Environmental data collection is from August 2018 to January 31, 2019, and the average, minimum, and maximum values of air pollution data respectively. According to the global data on global trends using the Big Data, high blood pressure is confirmed at 33rd place in the world, and myocardial infarction among the environmental diseases is confirmed to be lower than Korea. Disease that occurred in Jeolla province industrial complex considering the characteristics of our country was identified as representative. Air pollutants are considered to be the causes of allergic diseases in Korea. PM10 was found to be higher than the control area (28.8804348 (㎍ / ㎥), 31.7065217 (㎍ / ㎥) and 32.8532609 (㎍ / ㎥). The mean concentrations of PM2.5 in the middle and high exposure areas were lower than those of the control areas, but the highest in the intermediate exposure areas was 16.5978261 (㎍ / ㎥), 16.1086957 (㎍ / ㎥) and 17.1847826 (㎍ / ㎥) respectively. The relationship between the major variables of environmental exposure in Yeosu was confirmed to be correlated with high blood pressure, chronic obstructive pulmonary disease (COPD), bronchitis, cerebrovascular, diabetes, thyroid disease, sinus infection, anemia and pneumonia.
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