植被下垫面<i>Z</i><sub>0</sub>的估算及其改进影响评估

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Abstract The morphology-remote sensing inversion with satellite remote sensing and multi-observation data were utilized to estimate the aerodynamic roughness length (Z₀) of main vegetation underlying surfaces in China. This new Z₀ dataset was then used to replace the default values in the WRF-Chem model. Combined with the national meteorological and pollutant observation data, the impacts of Z₀ improvement on the meteorological field and chemical field simulations were evaluated. The results show that the high value of Z₀ is mainly located over the forest underlying surface (higher than 1m); the Z₀ values over the farmland and grassland underlying surfaces are generally lower (lower than 0.5m). The Z₀ values over other underlying surfaces fell in between 0.5m and 1m; and the modification of Z₀ has a better improvement in the simulations of 10m wind speed (WS10) and surface temperature (TSK) even though its effects on 2m temperature (T2) and relative humidity (RH) are not obvious. We also observed that an increase in Z₀ mainly has a warming effect on TSK and a weakening effect on WS10 for different types of underlying surfaces. In terms of the improvement ratio (the difference between the simulated value after the improvement of each element and the simulated value before the improvement divided by the simulated value before the improvement, the same below), the improved Z₀ demonstrates a greater impact on WS10 than on TSK. For the pollutant concentrations, the modification of Z₀ has larger effects on the simulations for PM_2.5 and PM₁₀ than for other pollutants (SO₂, NO₂, O₃). Furthermore, the impact of the improved Z₀ was larger on meteorological elements than on pollutant concentrations. In general, the improvement of Z₀ has the largest impact on the 10m wind speed; because the improved Z₀ is generally higher than the model-default Z₀ value. As Z₀ is a variable for characterizing the surface roughness, the obstruction to the air flow increases with an increase in surface roughness and thus results in a reduction in the near surface wind speed.

Key words： aerodynamic roughness length vegetation underlying surface numerical simulation WRF-Chem model PM_2.5

Received: 21 February 2022

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	Articles by authors
	TIAN Chun-yan
	CUI Yin-ping
	SHEN Chong
	CHEN Xiu-zhi
	SHEN Ao
	FAN Qi

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TIAN Chun-yan,CUI Yin-ping,SHEN Chong等. Estimation of vegetation underlying surface Z₀ and assessment on the impacts of its improvement[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(9): 3969-3982.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I9/3969

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