...
首页> 外文期刊>Journal of Civil, Structural, Environmental, Water Resources and Infrastructure Engineering Research >MONITORING OF POLLUTANT CONCENTRATIONS IN AN UNDERGROUND URANIUM MINING PROJECT USING AERMOD
【24h】

MONITORING OF POLLUTANT CONCENTRATIONS IN AN UNDERGROUND URANIUM MINING PROJECT USING AERMOD

机译:使用Aermod监测地下铀矿项目中的污染物浓度

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The uranium mine at Tummalapalle is one among very few mines in India that supplies fuel to nuclear power plants. Investigations made by Atomic Minerals Directorate of Exploration and Research (AMD), India established the existence of abundant low grade uranium ore in Tummalapalle area of Kadapa district, AP, India and stressed it as feasible source for commercial extraction. As the extraction process involves dispersion of particulate matter into the atmosphere, it is essential to make an assessment of pollutant dispersion during mining which involves extracting larger quantities. To this end an air quality assessment was undertaken to evaluate the concentrations of PM 10, Uranium, Sox, NOx in and around Tummalapalle mine with the help of High volume air samplers for a period of 2011 January to 2011 December. AERMOD View-Air dispersion model (modified Gaussian plume dispersion package) was used to mathematically predict the air quality. The obtained concentrations and dispersions from AERMOD VIEW and MATLAB were compared with the monitored values at different locations and observed a quite agreement among three. Small deviations are noticed and these may be because of inbuilt confines of the models and uncertainties in the source emission characteristics. A detailed overview of basic mathematics behind atmospheric dispersion modeling software suggests AERMOD is the best modeling tool for the medium range atmospheric modeling where as MATLAB could only perform well for the short range modeling.
机译:Tummalapalle的铀矿是印度为核电站供应燃料的极少数矿井之一。印度原子勘探与研究局(AMD)进行的调查确定,印度AP的Kadapa区Tummalapalle地区存在丰富的低品位铀矿,并强调这是商业开采的可行来源。由于提取过程涉及颗粒物质向大气中的扩散,因此必须对采矿期间污染物的扩散进行评估,这涉及大量的提取。为此,在高容量空气采样器的帮助下,进行了空气质量评估,以评估Tummalapalle矿山及其周围地区中PM 10,铀,Sox,NOx的浓度,时间为2011年1月至2011年12月。 AERMOD View-Air弥散模型(改进的高斯羽流弥散程序包)用于数学预测空气质量。从AERMOD VIEW和MATLAB获得的浓度和分散度与不同位置的监测值进行比较,并观察到三者之间的一致性。注意到很小的偏差,这可能是由于模型的固有限制以及源排放特性的不确定性。大气弥散建模软件背后的基本数学原理的详细概述表明,AERMOD是中程大气建模的最佳建模工具,因为MATLAB仅在短程建模方面表现良好。

著录项

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