Ammonia emissions from different pig production scales and their temporal variations in the North China Plain

2020 ◽  
Vol 71 (1) ◽  
pp. 23-33
Author(s):  
Yubo Cao ◽  
Zhaohai Bai ◽  
Tom Misselbrook ◽  
Xuan Wang ◽  
Lin Ma
2014 ◽  
Vol 99 (1-3) ◽  
pp. 107-117 ◽  
Author(s):  
Wen-Liang Yang ◽  
An-Ning Zhu ◽  
Xiao-Min Chen ◽  
Jia-Bao Zhang ◽  
Xiao-Hui Xu ◽  
...  

2010 ◽  
Vol 158 (2) ◽  
pp. 490-501 ◽  
Author(s):  
Y. Zhang ◽  
A.J. Dore ◽  
L. Ma ◽  
X.J. Liu ◽  
W.Q. Ma ◽  
...  

2016 ◽  
Vol 16 (15) ◽  
pp. 9675-9691 ◽  
Author(s):  
Xin Long ◽  
Xuexi Tie ◽  
Junji Cao ◽  
Rujin Huang ◽  
Tian Feng ◽  
...  

Abstract. With the provincial statistical data and crop field burning (CFB) activities captured by Moderate Resolution Imaging Spectroradiometer (MODIS), we extracted a detailed CFB emission inventory in the North China Plain (NCP). The WRF-CHEM model was applied to investigate the impact of CFB on air pollution during the period from 6 to 12 October 2014, corresponding to a heavy haze incident with high concentrations of PM2.5 (particulate matter with aerodynamic diameter less than 2.5 µm). The WRF-CHEM model generally performed well in simulating the surface species concentrations of PM2.5, O3 and NO2 compared to the observations; in addition, it reasonably reproduced the observed temporal variations of wind speed, wind direction and planetary boundary layer height (PBLH). It was found that the CFB that occurred in southern NCP (SNCP) had a significant effect on PM2.5 concentrations locally, causing a maximum of 34 % PM2.5 increase. Under continuous southerly wind conditions, the CFB pollution plume went through a long-range transport to northern NCP (NNCP; with several mega cities, including Beijing, the capital city of China), where few CFBs occurred, resulting in a maximum of 32 % PM2.5 increase. As a result, the heavy haze in Beijing was enhanced by the CFB, which occurred in SNCP. Mountains also play significant roles in enhancing the PM2.5 pollution in NNCP through the blocking effect. The mountains blocked and redirected the airflows, causing the pollutant accumulations along the foothills of mountains. This study suggests that the prohibition of CFB should be strict not only in or around Beijing, but also on the ulterior crop growth areas of SNCP. PM2.5 emissions in SNCP should be significantly limited in order to reduce the occurrences of heavy haze events in the NNCP region.


2020 ◽  
Author(s):  
You-Kuan Zhang ◽  
Chen Yang ◽  
Xiaofan Yang

<p>It is recognized that groundwater (GW) may play an important role in the subsurface–land-surface–atmosphere system and that pumping of GW may affect soil moisture which in turn influences local weather and climate through land-atmosphere interactions. In this study effects of GW pumping on ground surface temperature (GST) in the North China Plain (NCP) were investigated with a coupled ParFlow.CLM model of subsurface and land-surface processes and their interactions. The model was validated using the water and energy fluxes reported in previous studies and from the JRA-55 reanalysis. Numerical experiments were designed to examine the impacts of GW pumping and irrigation on GST. Results show significant effects of GW pumping on GST in the NCP. Generally, the subsurface acts as a buffer to temporal variations in heat fluxes at the land-surface, but long-term pumping can gradually weaken this buffer, resulting in increases in the spatio-temporal variability of GST, as exemplified by hotter summers and colder winters. Considering that changes of water table depth (WTD) can significantly affect land surface heat fluxes when WTD ranges between 1–10 m, the 0.5 m/year increase of WTD simulated by the model due to pumping can continue to raise GST for about 20 years from the pre-pumping WTD in the NCP. The increase of GST is expected to be faster initially and gradually slow down. The findings from this study may implicate similar GST increases may occur in other regions with GW depletion.</p>


Author(s):  
Min Xue ◽  
Jianzhong Ma ◽  
Guiqian Tang ◽  
Shengrui Tong ◽  
Bo Hu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document