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Characteristics of total gaseous mercury (TGM) concentrations in anindustrial complex in South Korea: impacts from local sources

机译:韩国承诺综合体总汞(TGM)浓度的特征:来自局部来源的影响

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Total gaseous mercury (TGM) concentrations were measured every 5?min in Pohang, Gyeongsangbuk-do, Korea, during summer (17–23?August?2012), fall (9–17?October?2012), winter (22–29?January?2013), and spring (26?March–3?April?2013) to (1) characterize the hourly and seasonal variations of atmospheric TGM concentrations; (2) identify the relationships between TGM and co-pollutants; and (3) identify likely source directions and locations of TGM using the conditional probability function (CPF), conditional bivariate probability function (CBPF) and total potential source contribution function (TPSCF). The TGM concentration was statistically significantly highest in fall (6.7?±?6.4?ng?m?3), followed by spring (4.8?±?4.0?ng?m?3), winter (4.5?±?3.2?ng?m?3) and summer (3.8?±?3.9 ng?m?3). There was a weak but statistically significant negative correlation between the TGM concentration and ambient air temperature (r?=??0.08, p0.05). Although the daytime temperature (14.7?±?10.0?°C) was statistically significantly higher than that in the nighttime (13.0?±?9.8?°C) (p0.05), the daytime TGM concentration (5.3?±?4.7?ng?m?3) was statistically significantly higher than that in the nighttime (4.7?±?4.7?ng?m?3) (p0.01), possibly due to local emissions related to industrial activities and activation of local surface emission sources. The observed ΔTGM?∕?ΔCO was significantly lower than that of Asian long-range transport, but similar to that of local sources in Korea and in US industrial events, suggesting that local sources are more important than those of long-range transport. CPF, CBPF and TPSCF indicated that the main sources of TGM were iron and manufacturing facilities, the hazardous waste incinerators and the coastal areas.
机译:在夏天(17-23岁),韩国,韩国每5次,每5次测量全气态汞(TGM)浓度(17-23岁?2012年),秋天(9-17?2012年),冬季(22-29 ?1月份 - 2013年)和春天(26?3月3日?2013年4月)至(1)表征了大气TGM浓度的每小时和季节性变化; (2)确定TGM和共污染物之间的关系; (3)使用条件概率函数(CPF),条件双变量概率函数(CBPF)和总潜在源贡献函数(TPSCF)来识别TGM的可能源方向和位置。秋季的TGM浓度在统计学上显着最高(6.7?±6.4?Ng?M?3),然后是弹簧(4.8?±4.0?Ng?M?3),冬天(4.5?±3.2?NG? m?3)和夏季(3.8?±3.9 ng?m?3)。 TGM浓度和环境空气温度之间存在弱但统计学上的负相关性(R?= 0.08,P0.05)。虽然白天温度(14.7?±10.0°C)统计学上显着高于夜间(13.0?±9.8°C)(P0.05),白天TGM浓度(5.3?±4.7? ng?m?3)统计学上显着高于夜间(4.7?±4.7?n?n?n?3)(p0.01),可能是由于与工业活动相关的当地排放和局部表面发射源的激活。观察到的Δtgm?/?ΔCo显着低于亚洲远程运输,而是与韩国的当地来源和美国工业活动的差异相似,这表明本地来源比远程运输更重要。 CPF,CBPF和TPSCF表示,TGM的主要来源是钢铁和制造设施,危险废物焚烧炉和沿海地区。
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