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Urban population exposure to NOx emissions from local shipping in three Baltic Sea harbour cities – a generic approach

机译:城市人口从三个波罗的海港城城市的当地航运中的NOx排放 - 一种通用方法

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Ship emissions in ports can have a significant impact on local air quality (AQ), population exposure and therefore human health in harbour cities. We determined the impact of shipping emissions in harbours on local AQ and population exposure in the Baltic Sea harbour cities Rostock (Germany), Riga (Latvia) and the urban agglomeration of Gdańsk–Gdynia (Poland) for 2012. An urban AQ study was performed using a global-to-local chemistry transport model chain with the EPISODE-CityChem model for the urban scale. We simulated NO2, O3 and PM concentrations in 2012 with the aim of determining the impact of local shipping activities on population exposure in Baltic Sea harbour cities. Based on simulated concentrations, dynamic population exposure to outdoor NO2 concentrations for all urban domains was calculated. We developed and used a novel generic approach to model dynamic population activity in different microenvironments based on publicly available data. The results of the new approach are hourly microenvironment-specific population grids with a spatial resolution of 100m×100m. We multiplied these grids with surface pollutant concentration fields of the same resolution to calculate total population exposure. We found that the local shipping impact on NO2 concentrations is significant, contributing 22%, 11% and 16% to the total annually averaged grid mean concentration for Rostock, Riga and Gdańsk–Gdynia, respectively. For PM2.5, the contribution of shipping is substantially lower, at 1%–3%. When it comes to microenvironment-specific exposure to annual NO2, the highest exposure to NO2 from all emission sources was found in the home environment (54%–59%). Emissions from shipping have a high impact on NO2 exposure in the port area (50%–80%), while the influence in home, work and other environments is lower on average (3%–14%) but still has high impacts close to the port areas and downwind of them. Besides this, the newly developed generic approach allows for dynamic population-weighted outdoor exposure calculations in European cities without the necessity of individually measured data or large-scale surveys on population data.
机译:港口船舶排放可能对本地空气质量(AQ),人口暴露以及港口城市的人类健康产生重大影响。我们确定了2012年波罗的海港口城市罗斯托克(德国),里加(拉脱维亚),里加(拉脱维亚),里加(拉脱维亚)和Gdańsk-Gdynia(波兰)的城市凝聚到2012年港口的影响。进行了一项城市AQ研究利用全球到本地化学传输模型链与城市规模的剧集城市校模型。我们在2012年模拟了NO2,O3和PM浓度,目的是确定当地航运活动对波罗的海港口城市人口暴露的影响。基于模拟浓度,计算了所有城市域的户外No2浓度的动态人口。我们根据公开的数据开发并利用了一种新的通用方法来模拟不同微环境中的动态人口活动。新方法的结果是每小时的微环境特异性群体网格,空间分辨率为100米×100m。我们将这些网格乘以相同分辨率的表面污染物浓度场,以计算总人口暴露。我们发现,对NO2浓度的本地运输影响是显着的,分别为罗斯托克,里加和GDAńSK-GDYNIA的每年平均网格均值的22%,11%和16%。对于PM2.5,运输的贡献显着降低,1%-3%。涉及到在年度NO2的微环境特定的暴露时,在家庭环境中发现了所有排放来源的NO2的最高暴露(54%-59%)。发货的排放对港口区的NO2暴露产生高影响(50%-80%),而在家庭,工作和其他环境中的影响平均降低(3%-14%),但仍然接近较高的影响港口区域和他们的下风。除此之外,新开发的通用方法允许欧洲城市的动态人口加权户外暴露计算,而无需单独测量数据或人口数据的大规模调查。

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