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Wang, Yan
- Mercury Contamination from Historic Gold Mining to Water Bodies and Soils in Zhaoyuan, Shandong, Eastern China
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Authors
Affiliations
1 Qingdao Engineering Research Center for Rural Environment, Qingdao Agricultural University, Qingdao, 266109, CN
2 Key Lab of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, CN
1 Qingdao Engineering Research Center for Rural Environment, Qingdao Agricultural University, Qingdao, 266109, CN
2 Key Lab of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao, 266100, CN
Source
Nature Environment and Pollution Technology, Vol 15, No 2 (2016), Pagination: 559-564Abstract
To clarify the pollution status of mercury (Hg) in water bodies and soils from an old gold mining in China, we collected and analysed water samples in April 2010. The concentration of total Hg (THg) in water ranges from 0.032 to 0.225 μg/L, with average concentration as 0.078 μg/L. Among Hg species, particulate Hg (PHg) ranges from 0.021 to 0.106 μg/L, and the percentage of PHg exceeded 50 percent in most samples. Hg concentration in water is considerably lower than polluted areas by gold mining with amalgamation and Hg mining, close to the concentrations in high Hg background areas in China, but obviously higher than natural waters. THg in sediments ranges from 0.456 to 5.712 mg/kg, with a positive correlation to Hg of waters. THg of sediments in rivers shows a higher concentration than that in reservoirs. Soil Hg concentration ranges from 0.094 to 4.04 mg/kg, with geometric mean 0.36 mg/kg. Fifty percent of soil samples exceed Chinese Soil Reference (Grade II). The calculation results of the geoaccumulation index present a higher accumulation status of Hg in soils in this area. Furthermore, a strong ecological risk is found due to Hg accumulation in soils, according to the classification of assessment index of potential ecological risk levels. Results indicate that Zhaoyuan shows a certain degree of mercury pollution due to gold mining activities.Keywords
Mercury Contamination, Gold Mining, Sediment, Waterbodies.Full Text
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- Factor Analysis of Mass Concentration Characterization of PM2.5 and its Impact Factors in a Suburban Roadside: Taking a National Road of Zhengzhou, China as an Example
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Authors
Affiliations
1 School of Energy and Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, CN
2 School of Economics & Management, Zhongyuan University of Technology, Zhengzhou 450007, CN
3 National Institute for Health and Welfare, Helsinki 00271, FI
4 School of Environmental Science and Engineering, Donghua University, Shanghai 201620, CN
1 School of Energy and Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, CN
2 School of Economics & Management, Zhongyuan University of Technology, Zhengzhou 450007, CN
3 National Institute for Health and Welfare, Helsinki 00271, FI
4 School of Environmental Science and Engineering, Donghua University, Shanghai 201620, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 2 (2015), Pagination: 409-414Abstract
During the winter season from November 4, 2014 to November 16, 2014, one-hour average fine samples (PM2.5) of airborne particulate matter were collected at a busy roadside of the No. 107 national road located in a suburb of Zhengzhou City, China. For a convenient comparative analysis, two sets of data were tested in two different locations (No. 1 and No. 2) at a distance of 200m beside the road. Following previous research results, we considered traffic flow, ambient air temperature, relative humidity, wind speed, wind direction, atmospheric pressure and haze condition as factors to analyse their potential influence on the mass concentration of PM2.5. Same day data from the China National Environmental Monitoring Centre were also compared with the data of the study. Results showed that the average ambient PM2.5 concentrations were significantly higher at the tested suburban roadside than in the city region. However, the t-test result disclosed that the two sets of data had no significant difference (p = 0.001). The difference between the roadside data and the background concentration could be attributed to certain factors that were only sampled at the suburban roadside. Pearson correlation analysis was performed to identify the source contribution of the ambient PM2.5 concentration at the study locations. The correlation values indicated that the major factors with relatively significant influence on the PM2.5 data during the events under study were temperature (0.310 at the No. 1 site and 0.268 at the No. 2 site), relative humidity (0.532 at the No. 1 site and 0.303 at the No. 2 site), traffic flow (0.393 at the No. 1 site and 0.379 at the No. 2 site), wind speed ("0.264 at the No. 1 site and "0.187 at the No. 2 site), and wind direction (0.262 at the No. 2 site). Among all the impact parameters considered in the study, traffic flow contributed most to the PM2.5 mass concentration (correlation values were 0.393 and 0.379 for the No. 1 and No. 2 sites, respectively). Relative humidity (correlation value = 0.532 for the No. 1 site and correlation value = 0.303 for the No. 2 site) and wind speed contributed to the reduction of the PM2.5 mass concentration.Keywords
PM2.5, Mass Concentration, Factor Analysis, Suburban Roadside.Full Text