Numerical simulation of the impact of reforestation on winter meteorology and environment in a semi-arid urban valley, Northwestern China

Yu, Ye; He, Jianjun; Zhao, Suping; Liu, Na; Chen, Jinbei; Mao, Hongjun; Wu, Lin

doi:10.1016/j.scitotenv.2016.06.143

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…The evolution of circulation situation is an important factor driving the change in haze pollution (He et al, 2018). The local circulations, such as mountain and valley wind and urban island circulation, have a significant impact on local pollutant concentration (Chen et al, 2009;Yu et al, 2016). Previous studies also revealed that PM 2.5 concentration is significantly correlated with local meteorological elements, such as temperature, humidity, wind speed, and boundary layer height (He et al, 2017b;Bei et al, 2020;Ma et al, 2019;He et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index

Gong

Liu

Zhang³

et al. 2021

Atmos. Chem. Phys.

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Abstract. A framework was developed to quantitatively assess the contribution of meteorology variations to the trend of fine particular matter (PM2.5) concentrations and to separate the impacts of meteorology from the control measures in the trend, based upon the Environmental Meteorology Index (EMI). The model-based EMI realistically reflects the role of meteorology in the trend of PM2.5 and is explicitly attributed to three major factors: deposition, vertical accumulation and horizontal transports. Based on the 2013–2019 PM2.5 observation data and re-analysis meteorological data in China, the contributions of meteorology and control measures in nine regions of China were assessed separately by the EMI-based framework. Monitoring network observations show that the PM2.5 concentrations have declined by about 50 % on the national average and by about 35 % to 53 % for various regions. It is found that the nationwide emission control measures were the dominant factor in the declining trend of China PM2.5 concentrations, contributing about 47 % of the PM2.5 decrease from 2013 to 2019 on the national average and 32 % to 52 % for various regions. The meteorology has a variable and sometimes critical contribution to the year-by-year variations of PM2.5 concentrations, 5 % on the annual average and 10 %–20 % for the fall–winter heavy pollution seasons.

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Section: Introductionmentioning

confidence: 99%

Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index

Gong

Liu

Zhang³

et al. 2021

Atmos. Chem. Phys.

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“…The physical parameterization schemes included the Single-Moment 6-class microphysics scheme [20], the Kain-Fritsch cumulus parameterization scheme [21], the Rapid Radiative Transfer Model longwave [22], the Dudhia shortwave radiation parameterization scheme [23], the Yonsei University planetary boundary layer parameterization scheme [24], and the Noah land surface model (LSM) parameterization scheme [25]. These parameterization schemes have been sufficiently evaluated in previous studies [14,17,26,27].…”

Section: Wrf Modelmentioning

confidence: 99%

“…Numerical simulations have revealed that the limited atmospheric environmental capacity, which describes the maximum potential ability of the atmosphere to purify air pollutants, has resulted in air pollution [16]. Reforestation can strengthen the mountain-valley wind and decrease air pollution in Lanzhou [17]. Using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, potential source areas in urban Lanzhou have been identified [18].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study of Winter Pollutant Transport Characteristics over Lanzhou City, Northwest China

et al. 2018

Atmosphere

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Air pollution levels are severe in Lanzhou due to the valley topography and the semi-arid climate. A comprehensive understanding of pollutant transport characteristics, which are affected by atmospheric circulation, can help explain the reason for the air pollution to some extent. Using the Weather Research and Forecast (WRF) model coupled with the FLEXible PARTicle (FLEXPART) dispersion model, the authors of this paper simulated the transport pathways of pollutants discharged from local sources and analyzed the diffusion efficiency over Lanzhou during six winters from 2002 to 2007. Flow field analysis showed that a divergence and convergence region formed in the Lanzhou valley during the day and at night, respectively. The Lanzhou valley was dominated by an easterly wind. Based on transport trajectories from FLEXPART, five main transport pathways, namely, the southwest pathway (SW), west pathway (W), south pathway (S), southeast pathway (SE), and northeast pathway (NE), were identified over Lanzhou. Compared with static weather, it was easier for pollutants to cross the south mountain (i.e., along the southeast pathway) during the strong cold air process. The percentage of particles moving out of the urban valley after 12 h of transport and the ratio of particles moving back into the urban valley showed significant diurnal variability. This indicates that the air pollution over Lanzhou may be reduced to some extent by artificially controlling the emission time of pollutants.

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“…The evolution of circulation situation is an important factor driving the change of haze pollution (He et al, 2018). The local circulations, such as mountain and valley wind and urban island circulation, have significant impact on local pollutant concentration (Chen et al, 2009;Yu et al, 2016). Previous studies also revealed that PM2.5 concentration is significantly correlated with local meteorological elements, such as temperature, humidity, wind speed, and boundary layer height (He et al, 2017b;Bei et al, 2020;Ma et al, 2019;).…”

Section: Introductionmentioning

confidence: 99%

Assessment of meteorology vs control measures in China fine particular matter trend from 2013–2019 by an environmental meteorology index

Gong¹,

Liu²,

Zhang³

et al. 2020

Preprint

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Abstract. A framework was developed to quantitatively assess the contribution of meteorology variations in the trend of particular matter (PM) concentrations and to separate the impacts of meteorology from the control measures in the trend, based upon an Environmental Meteorology Index (EMI). The model-based index EMI realistically reflects the role of meteorology in the trend of PM and can also be attributed into three major factors: deposition, vertical accumulation and horizontal transports. Based on the 2013–2019 PM2.5 observation data and re-analysis meteorological data in China, the contributions of meteorology and control measures in nine regions of China were assessed separately by the EMI-based framework. Monitoring network observations show that the PM2.5 concentrations have been declined about 50 % on national average and about 35 % to 53 % for various regions. It is found that the nation-wide emission control measures were the dominant factor in the declining trend of China PM2.5 concentrations, contributing to about 47 % of the PM2.5 decrease from 2013 to 2019 on the national average and 32 % to the 52 % for various regions. The meteorology has a variable and sometimes critical contribution to the year by year variations of PM2.5 concentrations, 5 % on annual average and 10–20 % for the fall-winter heavy pollution seasons.

show abstract

Numerical simulation of the impact of reforestation on winter meteorology and environment in a semi-arid urban valley, Northwestern China

Cited by 12 publications

References 34 publications

Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index

Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index

Numerical Simulation Study of Winter Pollutant Transport Characteristics over Lanzhou City, Northwest China

Assessment of meteorology vs control measures in China fine particular matter trend from 2013–2019 by an environmental meteorology index

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