国家排放的空间高分辨率制图

M. S. Plejdrup, O. Nielsen, H. G. Bruun
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引用次数: 5

摘要

排放的空间分布是通过使用扩散模型评估人类暴露于空气污染的一个关键因素。空间排放制图的质量对于模拟空气污染水平、估计的人类接触、造成的健康影响和相关费用的质量、适用性和可靠性至关重要;这些都是决策者在决定实施环境政策和措施时非常重要的信息。由爱尔兰环境保护局资助的MapEIre项目的目的是开发爱尔兰排放清单的高分辨率空间地图。这项工作是最先进的,结合了大量的统计数据和详细的空间信息,以便以1公里乘1公里的分辨率绘制完整的空间发射图。空间模型是作为一个集成的数据库系统开发的,重点是用户友好性和性能优化。爱尔兰的空间模型整合了官方统计数据,如爱尔兰排放清单、人口、住房和农业普查,以及大量的空间数据集,如热需求、建筑使用、道路网络和土地覆盖图,这些数据集是通过对现有空间数据的全面评估而选择的。该模型涵盖了32种污染物和177个部门,包括整个爱尔兰专属经济区。所制订的方法和吸取的经验教训将对正在着手制订高分辨率空间排放分布的其他国家大有裨益。排放的详细空间分布可供国家和地方一级的决策者在制定决策和确定环境措施的优先次序时使用。此外,它允许更详细的监管,针对排放最高的地区实施措施,允许在地方、区域和国家范围内采取更具成本效益的举措。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPATIAL HIGH-RESOLUTION MAPPING OF NATIONAL EMISSIONS
Spatial distribution of emissions is a key element in assessing human exposure to air pollution through use of dispersion modelling. The quality of the spatial emission mapping is crucial for the quality, applicability and reliability of modelled air pollution levels, estimated human exposure, incurred health effects and related costs; all very important information for policy makers in decisions of implementation of environmental policies and measures. The purpose of the MapEIre project, funded by Ireland’s Environmental Protection Agency, is to develop a high-resolution spatial mapping of the Irish emission inventory. The work is state-of-the-art and combines a large amount of statistical data with detailed spatial information to allow for a complete spatial emission mapping on a 1 kilometre by 1-kilometre resolution. The spatial model is developed as an integrated database system focusing on user-friendliness and performance optimisation. The spatial model for Ireland integrates official statistics, such as the Irish emission inventory, and censuses of population, housing and agriculture, with a large number of spatial datasets as diverse as heat demand, building use, road network and land cover maps, selected through a comprehensive assessment of available spatial data. The model covers 32 pollutants and 177 sectors and includes the entire Irish exclusive economic zone. The methodology developed and the lessons learned will be of great benefit to other countries, which are embarking to develop high-resolution spatial emission distributions. The detailed spatial distribution of emissions can be used by policy makers on both national and local level in decision making and prioritising of environmental measures. Further, it allows for a more detailed regulation, implementing measures targeting areas where emissions are highest, allowing for more cost-effective initiatives on local, regional and national scale.
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