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contributor authorKramar, Valery F.
contributor authorBaykova, Evgeniya
contributor authorKallistratova, Margarita
contributor authorKouznetsov, Rostislav
contributor authorKulichkov, Sergei
date accessioned2017-06-09T16:49:43Z
date available2017-06-09T16:49:43Z
date copyright2014/05/01
date issued2014
identifier issn1558-8424
identifier otherams-74859.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217130
description abstracturrently used methods to estimate surface pollutant emissions require a set of specific air-sampling surveys. Data from a network of ground-based sodars and a network of air-quality stations in Moscow, Russia, are used to estimate the emission rates of carbon monoxide (CO) and nitric oxide (NO). The sodar network, consisting of three ?LATAN-3? Doppler sodars and three ?MTP-5? microwave temperature profilers, is used to measure the vertical profiles of vertical and horizontal wind velocity, wind direction, and temperature, which are used to determine the average mixing-layer height. The network of ground-based air-quality stations, consisting of 17 automated stations distributed uniformly across Moscow, continuously measured the CO and NO concentrations. This study focuses on an anticyclonic episode of high surface pressure over Moscow during 30 July?1 August 2012. After sunrise, the solar-induced convection effectively moderated the pollutant levels in the lowest 100?200 m. After sunset, convective mixing stopped and the wind weakened, which allowed CO and NO to reach hazardous levels. With an assumption of an average mixing-layer height of 150 m, the resulting estimate of surface emission of CO is ~6 ?g m?2 s?1, whereas that for NO is ~0.6 ?g m?2 s?1.
publisherAmerican Meteorological Society
titleGround-Based Remote Sensing of the ABL Structure in Moscow and Its Use to Estimate Pollutant Surface Emission Rates
typeJournal Paper
journal volume53
journal issue5
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-13-010.1
journal fristpage1272
journal lastpage1281
treeJournal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 005
contenttypeFulltext


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