DOI: 10.1016/j.atmosenv.2017.08.051
Scopus记录号: 2-s2.0-85028514608
论文题名: Simulation and evaluation of dust emissions with WRF-Chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015
作者: Song H ; , Wang K ; , Zhang Y ; , Hong C ; , Zhou S
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 167 起始页码: 511
结束页码: 522
语种: 英语
英文关键词: Climate change
; Dust emission
; East Asia
; Spatial-temporal variations
; Wind erosion
Scopus关键词: Dust
; Particles (particulate matter)
; Weather forecasting
; Wind
; Coarse particulate matter
; Dust emission
; East Asia
; Meteorological variables
; Spatial and temporal variation
; Spatial temporals
; Weather research and forecasting models
; Wind erosions
; Climate change
; atmospheric chemistry
; climate change
; climate modeling
; concentration (composition)
; dust
; emission
; ground-based measurement
; particulate matter
; radiative transfer
; simulation
; spatial variation
; spatiotemporal analysis
; wind velocity
; air pollution
; air temperature
; Article
; Asia
; atmospheric transport
; China
; climate change
; correlation analysis
; dust
; meteorological phenomena
; model
; Mongolia
; particulate matter
; precipitation
; priority journal
; simulation
; spatiotemporal analysis
; surface property
; velocity
; wind
; China
; Far East
; Mongolia
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Dust particles have been long recognized to affect the atmospheric radiative balance and are influenced by climate change. Impacts of climate change on dust emissions in East Asia, however, are not well understood. In this work, we conduct an evaluation of meteorological variables and dust emissions using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) and examine the relationships between dust emissions and meteorological variables (wind speed, precipitation, and temperature) over East Asia during the period of 1980–2015. Model simulated surface meteorological variables compared well overall with surface-based observations, consistent with other WRF studies. Compared to observations, the coarse particulate matter (PM10-2.5) concentrations were underpredicted for most dust source regions of East Asia with a domain-wide mean bias and correlation of −40.2 μg m−3 and 0.5 against observations, respectively. Dust particulate concentrations simulated by WRF-Chem were found to reproduce the observed spatial variability in surface dust particulates over East Asia. The average annual dust emission (0 < r < 20 μm) is around 67.4 Tg yr−1 and the dust emission increased with the trend of 0.173 Tg yr−1 (R2 = 0.03, P = 0.32) in China and Mongolia over the past four decades. The spatial and temporal variations of dust emissions in China and Mongolia indicate that the annual dust flux has increased in desert areas of China and Mongolia, but decreased in most Gobi regions of China. Dust emission is significantly positively and negatively correlated with wind velocity and precipitation at the regional scale. Spatial patterns of seasonal correlations between dust flux and climate varies greatly during the period of 1980–2015. © 2017 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82295
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, College of Environment and Planning, Henan University, Kaifeng, Henan, China; Department of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC, United States; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
Recommended Citation:
Song H,, Wang K,, Zhang Y,et al. Simulation and evaluation of dust emissions with WRF-Chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015[J]. Atmospheric Environment,2017-01-01,167