首页> 外文期刊>Environmental Geology >High-resolution simulations of participate matter emitted by different agriculture tillage under different weather conditions in California, USA
【24h】

High-resolution simulations of participate matter emitted by different agriculture tillage under different weather conditions in California, USA

机译:美国加利福尼亚州不同天气条件下不同农业耕作排放的参与物质的高分辨率模拟

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Agriculture tillage can result in the high concentration of paniculate matter with an aerodynamic diameter of 10 um or less (PM_10) that can cause serious health problems. To understand how different agriculture tillage methods and wind conditions affect the transmission and distribution of PM_10, four model runs were performed using the high resolution Weather Research and Forecasting model coupled with a chemistry component (WRF-Chem). In these runs, the observed emission rates under the conventional and combined tillage methods and different wind speeds were inputted into WRF-Chem. The simulated results show that the WRF-Chem model can reasonably capture the meteorological conditions at 500 m horizontal resolution over an agricultural field in California. The atmospheric concentration of paniculate matter increases significantly with an increase in the emission area. Substantial reduction, 50%, of aerosolized PM_10 dust emissions can be achieved by using combined tillage, when considered under the same meteorological conditions when compared to that caused by the conventional tillage method. Using the same conventional tillage emission rates, the lower velocity wind produces larger airborne concentrations of pollutants than does a stronger wind. Conversely, a stronger wind distributes the paniculate matter over a larger area though with a diminished concentration when compared to a weaker wind. The atmospheric concentration of paniculate matter was found to have a direct relationship to its emission intensity and area and wind conditions.
机译:农业耕作会导致空气动力学直径小于或等于10微米(PM_10)的高浓度颗粒物,这会引起严重的健康问题。为了了解不同的耕作方法和风况如何影响PM_10的传播和分布,使用高分辨率天气研究和预报模型以及化学成分(WRF-Chem)进行了四个模型运行。在这些运行中,将常规耕作和联合耕作方法下观察到的排放速率以及不同的风速输入到WRF-Chem中。仿真结果表明,WRF-Chem模型可以合理地捕获加利福尼亚农田上水平方向500 m的气象条件。随着排放面积的增加,颗粒物的大气浓度显着增加。与传统的耕作方法相比,在相同的气象条件下考虑使用联合耕作,可大大减少雾化的PM_10粉尘排放量的50%。使用相同的传统耕作排放速率,低速风比强风产生更大的空气污染物浓度。相反,与弱风相比,强风将颗粒状物质分布在更大的区域,尽管浓度降低了。发现大气中的颗粒物浓度与其排放强度,面积和风况有直接关系。

著录项

  • 来源
    《Environmental Geology》 |2011年第4期|p.1021-1029|共9页
  • 作者单位

    Departments of Watershed Sciences and Plants, Soils, and Climate, Utah State University, Logan, UT 84322, USA;

    Departments of Watershed Sciences and Plants, Soils, and Climate, Utah State University, Logan, UT 84322, USA;

    Energy Dynamics Laboratory, 1695 North Research Park Way, North Logan, UT 84341, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wrf-chem; pm; lidar; air quality; tillage; agriculture;

    机译:wrf-chem;下午;激光雷达;空气质量;耕作;农业;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号