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High resolution annual average air pollution concentration maps for the Netherlands

机译:荷兰的高分辨率年度平均空气污染浓度图

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摘要

Long-term exposure to air pollution is considered a major public health concern and has been related to overall mortality and various diseases such as respiratory and cardiovascular disease. Due to the spatial variability of air pollution concentrations, assessment of individual exposure to air pollution requires spatial datasets at high resolution. Combining detailed air pollution maps with personal mobility and activity patterns allows for an improved exposure assessment. We present high-resolution datasets for the Netherlands providing average ambient air pollution concentration values for the year 2009 for NO2, NOx, PM2.5, PM2.5absorbance and PM10. The raster datasets on 5×5 m grid cover the entire Netherlands and were calculated using the land use regression models originating from the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. Additional datasets with nationwide and regional measurements were used to evaluate the generated concentration maps. The presented datasets allow for spatial aggregations on different scales, nationwide individual exposure assessment, and the integration of activity patterns in the exposure estimation of individuals.
机译:长期暴露于空气污染被认为是公共健康的主要问题,与总体死亡率和各种疾病(如呼吸系统疾病和心血管疾病)有关。由于空气污染浓度的空间可变性,对个人暴露于空气污染的评估需要高分辨率的空间数据集。将详细的空气污染图与个人流动性和活动模式结合起来,可以改善暴露评估。我们提供了荷兰的高分辨率数据集,提供了2009年NO2,NOx,PM2.5,PM2.5吸收度和PM10的平均环境空气污染浓度值。 5×5 m栅格上的栅格数据集覆盖了整个荷兰,并使用源自欧洲空气污染影响研究小组(ESCAPE)项目的土地利用回归模型进行了计算。使用具有全国和地区测量值的其他数据集来评估生成的浓度图。提出的数据集可进行不同规模的空间汇总,全国范围的个人接触评估以及在个体接触评估中整合活动模式。

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