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Vertical aerosol data assimilation technology and application based on satellite and ground lidar:A review and outlook

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Journal of Environmental Sciences 2023年第1期123卷 292-305页

作者： Ting Yang Hongyi Li Haibo Wang Youwen Sun Xi Chen Futing Wang Lei Xu Zifa Wang State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHFIPSChinese Academy of SciencesHefei 230031China University of Chinese Academy of Sciences Beijing 100049China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China

Observations and numerical models are mainly used to investigate the spatiotemporal distribution and vertical structure characteristics of aerosols to understand aerosol pollution and its ***,the limitations of observations and the uncertainties of numerical models bias aerosol calculations and *** assimilation combines observations and numerical models to improve the accuracy of the initial,analytical fields of models and promote the development of atmospheric aerosol pollution *** studies have been conducted to integrate multi-source data,such as aerosol optical depth and aerosol extinction coefficient profile,into various chemical transport models using various data assimilation algorithms and have achieved good assimilation *** definition of data assimilation and the main algorithms will be briefly presented,and the progress of aerosol assimilation according to two types of aerosol data,namely,aerosol optical depth and extinction coefficient,will be *** application of vertical aerosol data assimilation,as well as the future trends and challenges of aerosol data assimilation,will be further analysed.

关键词： Atmospheric pollution Atmospheric environment air quality modelling Aerosol assimilation

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Using a Coupled air quality Modeling System for the Development of an air quality Plan in Madrid (Spain): Source Apportionment and Analysis Evaluation of Mitigation Measures

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Journal of Geoscience and Environment Protection 2016年第3期4卷 46-61页

作者： Raúl Arasa Anna Domingo-Dalmau Ricardo Vargas Technical Department Barcelona Spain Environmental and Territorial Planning Agency Regional Government of Madrid Madrid Spain

In this contribution, we use a coupled air quality modelling system (AQM) as a tool to design and develop an air quality plan in Madrid. AQM has allowed us to obtain a preliminary evaluation of the effect of mitigation measures over regional and local air quality levels. To achieve these goals, we have prepared a sophisticated AQM, coupling the meteorological model WRF, the emission model AEMM, and the photochemical model CMAQ. AQM was evaluated using the whole modelling year 2010 working with high horizontal resolution, 3 km for the region of Madrid and 1km for urban metropolitan area of Madrid. Two different analyses have been realized: a source apportionment exercise following a zero-out methodology to obtain the contribution to the air quality levels of the different emission sector;and an evaluation of the main mitigation measures considered in the air quality plan using sensitivity analysis. The air quality plan was focused on the improvement of NO2 levels and AQM analyzed the effect of the mitigation measures during ten episodes of 2011 where NO2 or O3 levels were the highest of the year;so we analyzed the effect of the mitigation plan in worst conditions. Results provided by the AQM system show that it accomplishes the European Directive modelling uncertainty requirements and the mean absolute gross error for 1-h maximum daily NO2 is 31% over locations with higher levels of this atmospheric pollutant;the road traffic is the main contributor to the air quality levels providing a 81% for NO2, 67% for CO and 46% for PM10;measures defined in the plan achieve to reduce up to 11 μgm-3 NO2 levels offering highest reductions over urban areas with traffic influence.

关键词： Environmental Assessment air quality modelling CMAQ Emissions Madrid air quality Plan Mitigation Measures

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Aeolian Dust Forecast in Arid and Semiarid Regions of Peru and Chile and Their Contribution over Particulate Matter Concentration

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Journal of Geoscience and Environment Protection 2016年第1期4卷 128-152页

作者： Albert Salvador Raúl Arasa Bernat Codina Technical Department Meteosim S.L. Barcelona Spain Department of Astronomy and Meteorology University of Barcelona Barcelona Spain

The dust generated in arid areas of the planet is a very important source of particulate matter in the air, especially favoured by the presence of winds that can raise erodible material from the surface. These particles have an important influence when making an assessment of the air quality, due to its direct and indirect impact on public health. In this work, we reproduce episodes of aeolian dusts in the desert areas of Peru and Chile, where high dust concentration events are common and many mining industries are located. The differentiation of the contribution of particulate matter from Aeolian dusts and mining activities of the area is an important issue, as well as trying to forecast these events. For this purpose, we have calculated an erodibility factor at high resolution that, combined with WRF meteorological output and the GOCART dust scheme, gives the emission of particulate matter. We have introduced the emissions in the photochemical model CMAQ, which determines the concentrations in the different domains, and we have observed that the natural dust contributes greatly to pollution in the area, exceeding permissible limit values in the area of Paracas in Peru, and with contributions of up to 23% of the total particulate matter in the city of Calama in Chile, resulting non-negligible values for the evaluation of air quality.

关键词： air quality modelling WRF-CMAQ Wind Erodibility Dust Mining Industry

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Enhancing air quality Forecasts over Catalonia(Spain)Using Model Output Statistics

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Journal of Geoscience and Environment Protection 2015年第8期3卷 9-22页

作者： Víctor Andrés Pérez Raúl Arasa Bernat Codina Jesica Pinón Technical Department Meteosim S.L.BarcelonaSpain Department of Astronomy and Meteorology University of BarcelonaBarcelonaSpain

Model Output Statistics (MOS) is a well-known technique that allows improving outputs from numerical atmospheric models. In this contribution, we present the development of a MOS algorithm to improve air quality forecasts in Catalonia, a region in the northeast of Spain. These forecasts are obtained from an Eulerian coupled air quality modelling system developed by Meteosim. Nitrogen Dioxide (NO2), Particulate Matter (PM10) and Ozone (03) have been the pollutants considered and the methodology has been applied on statistical values of these pollutants according to regulatory levels. Four MOS algorithms have been developed, characterized by different approaches in relation with seasonal stratification and stratification according to the measurement stations considered. Algorithms have been compared among them in order to obtain a MOS that reduces the forecast uncertainties. Results obtained show that the best MOS designed increases the accuracy of NO2 maximum 1-h daily value forecast from 71% to 75%, from 68% to 81% in the case of daily values of PM10, and finally, the accuracy of O3 maximum 1-h daily value from 79% to 87%.

关键词： air quality modelling Forecasting Model Output Statistics(MOS)

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