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Meteorology drives ambient air quality in a valley: a case of Sukinda chromite mine, one among the ten most polluted areas in the world

机译:气象驱动山谷中的环境空气质量:以Sukinda铬铁矿为例,这是世界十大污染最严重的地区之一

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The ambient air quality (AAQ) assessment was undertaken in Sukinda Valley, the chromite hub of India. The possible correlations of meteorological variables with different air quality parameters (PM10, PM2.5, SO2, NO2 and CO) were examined. Being the fourth most polluted area in the globe, Sukinda Valley has always been under attention of researchers, for hexavalent chromium contamination of water. The monitoring was carried out from December 2013 through May 2014 at six strategic locations in the residential and commercial areas around the mining cluster of Sukinda Valley considering the guidelines of Central Pollution Control Board (CPCB). In addition, meteorological parameters viz., temperature, relative humidity, wind speed, wind direction and rainfall, were also monitored. The air quality data were subjected to a general linear model (GLM) coupled with one-way analysis of variance (ANOVA) test for testing the significant difference in the concentration of various parameters among seasons and stations. Further, a two-tailed Pearson's correlation test helped in understanding the influence of meteorological parameters on dispersion of pollutants in the area. All the monitored air quality parameters varied significantly among the monitoring stations suggesting (i) the distance of sampling location to the mine site and other allied activities, (ii) landscape features and topography and (iii) meteorological parameters to be the forcing functions. The area was highly polluted with particulate matters, and in most of the cases, the PM level exceeded the National Ambient Air Quality Standards (NAAQS). The meteorological parameters seemed to play a major role in the dispersion of pollutants around the mine clusters. The role of wind direction, wind speed and temperature was apparent in dispersion of the particulate matters from their source of generation to the surrounding residential and commercial areas of the mine.
机译:在印度铬铁矿中心Sukinda谷进行了环境空气质量(AAQ)评估。研究了气象变量与不同空气质量参数(PM10,PM2.5,SO2,NO2和CO)的可能相关性。作为全球第四大污染最严重的地区,Sukinda谷地因六价铬污染水而一直受到研究人员的关注。根据中央污染控制委员会(CPCB)的指导,该监测于2013年12月至2014年5月在Sukinda Valley矿区周围住宅和商业区的六个战略位置进行。此外,还监测了气象参数,即温度,相对湿度,风速,风向和降雨。空气质量数据经过一般线性模型(GLM)加上单向方差分析(ANOVA)测试,以测试季节和站点之间各种参数浓度的显着差异。此外,两尾Pearson相关检验有助于理解气象参数对该地区污染物扩散的影响。在各个监测站之间,所有监测到的空气质量参数均存在显着差异,表明(i)采样位置到矿场和其他相关活动的距离,(ii)地形特征和地形,以及(iii)气象参数是强制功能。该地区被颗粒物高度污染,在大多数情况下,PM含量超过了国家环境空气质量标准(NAAQS)。气象参数似乎在矿区周围污染物的扩散中起主要作用。风向,风速和温度的作用在颗粒物从其产生源到矿井周围居民区和商业区的扩散中显而易见。

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