Topic
Air pollutant concentrations
About: Air pollutant concentrations is a research topic. Over the lifetime, 1652 publications have been published within this topic receiving 36138 citations.
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TL;DR: It is concluded that the deposition schemes that represent GI impacts in detail are complex, resource-intensive, and involve an abundant volume of input data, and an appropriate handling of GI characteristics in dispersion models is necessary for understanding the mechanism of air pollutant concentrations simulation in presence of GI at different spatial scales.
57 citations
TL;DR: Wang et al. as discussed by the authors proposed a novel hybrid model, namely EWT-MAEGA-NARX combining the EWT, MAEGA and NARX neural networks, for multi-step air pollutant concentrations forecasting.
57 citations
Book•
01 Jan 1970
TL;DR: In this article, a scholarly yet practical text is available on maternal nutrition, which should be utilized by all physicians, nutritionists, and others concerned with maternal and child health, and full reference lists are given at each chapter, together with an extensive bibliography.
Abstract: tions are stated concretely and offer a distillation of information and realistic guidelines which implement the newest data. Full reference lists are given at the end of each chapter, together with an extensive bibliography. For the first time, a scholarly yet practical text is available on maternal nutrition. This book should be utilized by all physicians, nutritionists, and others concerned with maternal and child health. STELLA HOPE PAGE
57 citations
TL;DR: In this paper, a new comprehensive point source database that includes nearly 100,000 industrial facilities in China was compiled, and the authors couple it with the frame of Multi-resolution Emission Inventory for China (MEIC), estimate point source emissions, combine point and area sources, and finally map China's anthropogenic emissions of 2013 at the spatial resolution of 30″×30″ (~1 km).
Abstract: New challenges are emerging in fine-scale air quality modeling in China due to a lack of high-resolution emission maps. Currently, only a few emission sources have accurate geographic locations (point sources), while a large part of sources, including industrial plants, are estimated as provincial totals (area sources) and spatially disaggregated onto grid cells based on proxies; this approach is reasonable to some extent but is highly questionable at fine spatial resolutions. Here, we compile a new comprehensive point source database that includes nearly 100,000 industrial facilities in China. We couple it with the frame of Multi-resolution Emission Inventory for China (MEIC), estimate point source emissions, combine point and area sources, and finally map China’s anthropogenic emissions of 2013 at the spatial resolution of 30″×30″ (~1 km). Consequently, the percentages of point source emissions in the total emissions increase from less than 30% in the MEIC up to a maximum of 84% for SO2 in 2013. The new point source-based emission maps show the uncoupled distribution of emissions and populations in space at fine spatial scales, however, such a pattern cannot be reproduced by any spatial proxy used in the conventional emissions mapping. This new accurate high-resolution emission mapping approach reduces the modeled biases of air pollutant concentrations in the densely populated areas compared to the raw MEIC inventory, thus improving the assessment of population exposure.
57 citations
TL;DR: In this paper, the authors analyzed the current and expected air quality in Israel and identified the main responsible sources of air pollution, and used dispersion models (AERMOD, CHIMERE, FARM, and Tthis paperIC) to forecast the air quality for the target years.
Abstract: The aim of this paper is to analyze current and expected air quality in Israel and to identify the main responsible sources. To this end, the current (2010) air quality regarding five main air pollutants, PM10, PM2.5, NO2, SO2, and O3, was analyzed and the pollutant emission inventories were determined. Next, the expected emission inventories for the target years (2015 and 2020) were estimated. Based on these results, dispersion models (AERMOD, CHIMERE, FARM, and TREFIC) were used to forecast the expected air quality for the target years. The findings indicate that current policy measures are not sufficient and additional policy measures are required, particularly in the transport, industry, energy, and households sectors.
57 citations