Over the past few years, Bayesian models for combining output from numerical models and air monitoring data have been applied to environmental data sets to improve spatial prediction. This paper develops a new hierarchical Bayesian model (HBM) for fine particulate matter (PM2.5) that combines U. S. EPA Federal Reference Method (FRM) PM2.5 monitoring data and Community Multi-scale Air Quality (C...

Abstract Dry deposition of aerosols from the atmosphere is an important but poorly understood and inadequately modeled process in atmospheric systems for climate air quality. Comparisons currently used aerosol dry models to a compendia published field measurement studies various landscapes show very poor agreement over wide range particle sizes. In this study, we develop test new model that mod...

Abstract. Despite recent progress of numerical air quality models, accurate prediction fine particulate matter (PM2.5) is still challenging because uncertainties in physical and chemical parameterizations, meteorological data, emission inventory databases. Recent advances artificial neural networks can be used to overcome limitations models. In this study, a deep network (DNN) model was develop...

Ozone (O3) has become the major factor for exceeding air pollution standards in many Chinese cities, especially more economically developed and densely populated regions, such as eastern China. In this study, we applied Weather Research Forecasting/Community Multiscale Air Quality (WRF/CMAQ) model to predict quality, evaluated influences of different chemical initial conditions on O3 forecasts ...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...

The Community Multiscale Air Quality (CMAQ) model with the 7th generation aerosol module (AERO7) was employed to simulate organic (OA) in Seoul, Korea, for year 2016. goal of present study includes 1-year simulation OA using WRF-CMAQ recently EPA-developed AERO7 pcVOC (potential VOC from combustion) scale factor revision and analysis seasonal behavior surrogate species Seoul. AERO7, most recent...

The aerosol module of the CMAQ is designed to be an efficient and economical depiction of aerosol dynamics in the atmosphere. The approach taken represents the particle size distribution as the superposition of three lognormal subdistributions, called modes. The processes of coagulation, particle growth by the addition of new mass, particle formation, etc. are included. Time stepping is done wi...

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