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Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS

机译:基于GIS的兰州(中国)呼吸道疾病PM10人群暴露及其健康相关经济成本评估

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Background Evaluation of the adverse health effects of PM10 pollution (particulate matter less than 10 microns in diameter) is very important for protecting human health and establishing pollution control policy. Population exposure estimation is the first step in formulating exposure data for quantitative assessment of harmful PM10 pollution. Methods In this paper, we estimate PM10 concentration using a spatial interpolation method on a grid with a spatial resolution 0.01° × 0.01°. PM10 concentration data from monitoring stations are spatially interpolated, based on accurate population data in 2000 using a geographic information system. Then, an interpolated population layer is overlaid with an interpolated PM10 concentration layer, and population exposure levels are calculated. Combined with the exposure-response function between PM10 and health endpoints, economic costs of the adverse health effects of PM10 pollution are analyzed. Results The results indicate that the population in Lanzhou urban areas is distributed in a narrow and long belt, and there are relatively large population spatial gradients in the XiGu, ChengGuan and QiLiHe districts. We select threshold concentration C0 at: 0 μg m-3 (no harmful health effects), 20 μg m-3 (recommended by the World Health Organization), and 50 μg m-3 (national first class standard in China) to calculate excess morbidity cases. For these three scenarios, proportions of the economic cost of PM10 pollution-related adverse health effects relative to GDP are 0.206%, 0.194% and 0.175%, respectively. The impact of meteorological factors on PM10 concentrations in 2000 is also analyzed. Sandstorm weather in spring, inversion layers in winter, and precipitation in summer are important factors associated with change in PM10 concentration. Conclusions The population distribution by exposure level shows that the majority of people live in polluted areas. With the improvement of evaluation criteria, economic damage of respiratory disease caused by PM10 is much bigger. The health effects of Lanzhou urban residents should not be ignored. The government needs to find a better way to balance the health of residents and economy development. And balance the pros and cons before making a final policy.
机译:背景评估PM 10 污染(直径小于10微米的颗粒物)对健康的不利影响对于保护人类健康和制定污染控制政策非常重要。人口暴露估算是制定暴露数据以定量评估有害PM 10 污染的第一步。方法在空间分辨率为0.01°×0.01°的网格上,我们采用空间插值法估算PM 10 的浓度。基于2000年使用地理信息系统的准确人口数据,对来自监测站的PM 10 浓度数据进行了空间插值。然后,将插值的人口层与插值的PM 10 浓度层叠加,然后计算人口暴露水平。结合PM 10 与健康指标之间的暴露-反应功能,分析了PM 10 污染对健康的不利影响的经济成本。结果结果表明,兰州市区人口分布窄而长,西固,城关,七里河地区人口空间梯度较大。我们选择的阈值浓度C 0 为:0μgm -3 (无有害健康影响),20μgm -3 (建议世界卫生组织)和50μgm -3 (中国国家一级标准)来计算发病率过高的病例。在这三种情况下,与污染有关的PM 10 与健康相关的不良经济影响相对于GDP的比例分别为0.206%,0.194%和0.175%。分析了2000年气象因素对PM 10 浓度的影响。春季沙尘暴天气,冬季反演层和夏季降水是与PM 10 浓度变化相关的重要因素。结论按接触程度划分的人口分布表明,大多数人生活在污染地区。随着评价标准的提高,PM 10 对呼吸系统疾病的经济损失更大。兰州城市居民的健康影响不容忽视。政府需要找到一种更好的方法来平衡居民的健康和经济发展。在制定最终政策之前,要权衡利弊。

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