Mishra Soumya Ranjan, Pradhan Rudra Pratap, Prusty B Anjan Kumar, Sahu Sanjat Kumar
Gujarat Institute of Desert Ecology, PO Box No. 83, Opp. Changleshwar Temple, Mundra Road, Bhuj, Gujarat, 370001, India.
P.G. Department of Environmental Sciences, Sambalpur University, Jyoti Vihar, Odisha, 768019, India.
Environ Monit Assess. 2016 Jul;188(7):402. doi: 10.1007/s10661-016-5393-1. Epub 2016 Jun 11.
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.
在印度铬铁矿中心苏金达山谷开展了环境空气质量（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）之间的可能相关性。作为全球第四大污染地区，苏金达山谷一直受到研究人员的关注，因为该地区存在六价铬水污染问题。根据中央污染控制委员会（CPCB）的指导方针，于2013年12月至2014年5月在苏金达山谷采矿区周围的居民区和商业区的六个战略地点进行了监测。此外，还监测了气象参数，即温度、相对湿度、风速、风向和降雨量。空气质量数据采用一般线性模型（GLM）结合单因素方差分析（ANOVA）测试，以检验不同季节和站点之间各种参数浓度的显著差异。此外，双尾Pearson相关性测试有助于了解气象参数对该地区污染物扩散的影响。所有监测到的空气质量参数在监测站点之间存在显著差异，这表明（i）采样地点到矿场及其他相关活动的距离，（ii）景观特征和地形，以及（iii）气象参数是驱动因素。该地区颗粒物污染严重，在大多数情况下，PM水平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、风速和温度在颗粒物从其产生源扩散到矿区周围居民区和商业区的过程中作用明显。
