NO2监测站相对于基于Sentinel-5P卫星估算的空间代表性

IF 4.5 Q2 ENVIRONMENTAL SCIENCES
Patryk Tadeusz Grzybowski , Jan Paweł Musiał , Krzysztof Mirosław Markowicz
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引用次数: 0

摘要

二氧化氮(NO2)污染是对人类健康最严重的环境威胁之一。为了减轻二氧化氮和其他空气污染物的负面影响,必须通过广泛而可靠的网络监测污染。这项研究旨在证明使用哨兵- 5p估算的二氧化氮浓度的可行性,哨兵- 5p是欧洲哥白尼地球观测计划的一部分。卫星数据,结合气象因素,支持二氧化氮污染监测。与点地面测量不同,这种方法提供了整个感兴趣区域的数据。这项工作的主要目的是确定波兰有多少地区被地面站测量的空间代表性(SR)表面二氧化氮浓度覆盖。此外,该研究还调查了有多少人居住在SR NO2测量未覆盖的地区,并确定了新站的潜在位置,以提高波兰NO2监测网络的空间代表性。采用全局Moran’s I、相关系数随站点距离的变异性、半方差随站点距离的变异性和相似阈值四种方法确定SR。结果表明,根据使用的方法不同,NO2年限值超过(10 μg/m3)的城市人口约74 - 94%,农村人口约10 - 30%被具有代表性的NO2测量网络覆盖。最后提出新增城市站10-17个,新增农村站0-5个。这将确保SR监测网络覆盖91%至98%的人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial representativeness of NO2 monitoring stations with respect to Sentinel-5P satellite based estimates
Nitrogen dioxide (NO2) pollution is one of the most significant environmental threats to human health. To mitigate the negative effects of NO2 and other air pollutants, it is essential to monitor pollution through a wide and reliable network. This study aimed to demonstrate the feasibility of using estimated NO2 concentrations derived from Sentinel-5P, which is a mission that is part of the European Earth Observation Programme Copernicus.satellite data, combined with meteorological factors, to support NO2 pollution monitoring. Unlike point ground measurements, this approach provides data for the entire area of interest. The main objective of this work is to determine what fraction of Poland is covered by spatially representative (SR) surface NO2 concentrations measured at ground-based stations. Additionally, the study investigated how many people live in areas not covered by SR NO2 measurements and identified potential locations for new stations to improve the spatial representativeness of the NO2 monitoring network across Poland. Four methods for determining SR were tested: Global Moran's I, variability of the correlation coefficient with distance from the station, variability of semivariance with distance from the station, and similarity threshold. It was revealed that approximately 74–94 % of the urban population and 10–30 % of the rural population, where the yearly NO2 limit was exceeded (>10 μg/m3), are covered by the representative NO2 measurement network, depending on the method used. Finally, it was proposed to add 10–17 new urban stations and 0–5 new rural stations. This would ensure that 91–98 % of the population is covered by the SR monitoring network.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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