Arid
DOI10.5194/acp-15-867-2015
Tropospheric vertical column densities of NO2 over managed dryland ecosystems (Xinjiang, China): MAX-DOAS measurements vs. 3-D dispersion model simulations based on laboratory-derived NO emission from soil samples
Mamtimin, B.1; Behrendt, T.1; Badawy, M. M.1,2; Wagner, T.1; Qi, Y.1,3; Wu, Z.1,4; Meixner, F. X.1
通讯作者Mamtimin, B.
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2015
卷号15期号:2页码:867-882
英文摘要

We report on MAX-DOAS observations of NO2 over an oasis-ecotone-desert ecosystem in NW China. There, local ambient NO2 concentrations originate from enhanced biogenic NO emission of intensively managed soils. Our target oasis "Milan" is located at the southern edge of the Taklimakan desert, very remote and well isolated from other potential anthropogenic and biogenic NOx sources. Four observation sites for MAX-DOAS measurements were selected, at the oasis centre, downwind and upwind of the oasis, and in the desert. Biogenic NO emissions in terms of (i) soil moisture and (ii) soil temperature of Milan oasis (iii) different land-cover type sub-units (cotton, Jujube trees, cotton/Jujube mixture, desert) were quantified by laboratory incubation of corresponding soil samples. Net potential NO fluxes were up-scaled to oasis scale by areal distribution and classification of land-cover types derived from satellite images using GIS techniques. A Lagrangian dispersion model (LASAT, Lagrangian Simulation of Aerosol Transport) was used to calculate the dispersion of soil emitted NO into the atmospheric boundary layer over Milan oasis. Three-dimensional (3-D) NO concentrations (30m horizontal resolution) have been converted to 3-D NO2 concentrations, assuming photostationary state conditions. NO2 column densities were simulated by suitable vertical integration of modelled 3-D NO2 concentrations at those downwind and upwind locations, where the MAX-DOAS measurements were performed. Downwind-upwind differences (a direct measure of Milan oasis’ contribution to the areal increase of ambient NO2 concentration) of measured and simulated slant (as well as vertical) NO2 column densities show excellent agreement. This agreement is considered as the first successful attempt to prove the validity of the chosen approach to upscale laboratory-derived biogenic NO fluxes to ecosystem field conditions, i.e. from the spatial scale of a soil sample (cm(2)) to the size of an entire agricultural ecosystem (km(2)).


类型Article
语种英语
国家Germany ; Egypt ; Peoples R China
收录类别SCI-E
WOS记录号WOS:000351170000009
WOS关键词NITRIC-OXIDE EMISSIONS ; ABSORPTION CROSS-SECTION ; ATMOSPHERIC TRACE GASES ; CONCENTRATION PROFILES ; FIELD-MEASUREMENTS ; OZONE ; CALIBRATION ; INVENTORY ; TURNOVER ; SURFACE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/186038
作者单位1.Max Planck Inst Chem, Mainz, Germany;
2.Ain Shams Univ, Fac Arts, Dept Geog, Cairo, Egypt;
3.Natl Ctr Climate Change Strategy & Int Cooperat, Int Cooperat Dept, Beijing, Peoples R China;
4.Xinjiang Normal Univ, Inst Geog Sci, Urumqi, Peoples R China
推荐引用方式
GB/T 7714
Mamtimin, B.,Behrendt, T.,Badawy, M. M.,et al. Tropospheric vertical column densities of NO2 over managed dryland ecosystems (Xinjiang, China): MAX-DOAS measurements vs. 3-D dispersion model simulations based on laboratory-derived NO emission from soil samples[J],2015,15(2):867-882.
APA Mamtimin, B..,Behrendt, T..,Badawy, M. M..,Wagner, T..,Qi, Y..,...&Meixner, F. X..(2015).Tropospheric vertical column densities of NO2 over managed dryland ecosystems (Xinjiang, China): MAX-DOAS measurements vs. 3-D dispersion model simulations based on laboratory-derived NO emission from soil samples.ATMOSPHERIC CHEMISTRY AND PHYSICS,15(2),867-882.
MLA Mamtimin, B.,et al."Tropospheric vertical column densities of NO2 over managed dryland ecosystems (Xinjiang, China): MAX-DOAS measurements vs. 3-D dispersion model simulations based on laboratory-derived NO emission from soil samples".ATMOSPHERIC CHEMISTRY AND PHYSICS 15.2(2015):867-882.
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