CAJ | 학술논문

为较好地表征当前北京整个区域大气颗粒物质量浓度随时间尺度的变化及区域分布污染特征,根据北京市35个监测站点获得的2013年3-5月颗粒物质量浓度1 h 均值,分析和研究 PM2.5和 PM10质量浓度的季节性变化并提高其空间分辨率,在此基础上探讨颗粒物可能的影响因素及污染来源.结果表明,3-5月颗粒物质量浓度具有周期性变化规律和显著相关性,应用 MATLAB 空间插值算法实现的颗粒物质量浓度区域分布图具有一定精度,可外推并揭示颗粒物区域污染特征.分析表明当前北京颗粒物污染的影响因素有冬末的冷锋和降雪、春季的沙尘和大风、夏初的降雨和湿热等；污染区域则呈现南高北低的特征,污染来源除了本地人为源以外,周边区域传输也有较大影响.通过颗粒物污染的时间序列和空间插值的结合分析,可为进一步研究颗粒物时空关系及掌握区域污染特征提供方法.
위교호지표정당전북경정개구역대기과립물질량농도수시간척도적변화급구역분포오염특정,근거북경시35개감측참점획득적2013년3-5월과립물질량농도1 h 균치,분석화연구 PM2.5화 PM10질량농도적계절성변화병제고기공간분변솔,재차기출상탐토과립물가능적영향인소급오염래원.결과표명,3-5월과립물질량농도구유주기성변화규률화현저상관성,응용 MATLAB 공간삽치산법실현적과립물질량농도구역분포도구유일정정도,가외추병게시과립물구역오염특정.분석표명당전북경과립물오염적영향인소유동말적랭봉화강설、춘계적사진화대풍、하초적강우화습열등；오염구역칙정현남고북저적특정,오염래원제료본지인위원이외,주변구역전수야유교대영향.통과과립물오염적시간서렬화공간삽치적결합분석,가위진일보연구과립물시공관계급장악구역오염특정제공방법.
The 1-hour average mass concentration of particulate matter from March to May 2013 obtained from monitoring stations was used to characterize the concentration variation of particulate matter with time scale and its regional distribution in the Beijing area. The mass concentrations of PM2. 5 and PM10 were studied to find out their seasonal variation characteristics, and their spatial resolution was improved. Based on that, the possible factors and pollution sources of particulate matter were then preliminary discussed. The re-sults show that there are a periodical variation and a significant correlation on the average mass concentration of particulate matter from March to May in the Beijing area. Interpolation results on the particulate concentration distribution by using MATLAB spatial interpola-tion tools have certain precision to extrapolate and reveal the regional pollution characteristics. According to analysis, the main factors affected particulate concentration in the Beijing area are cold front and snowfall in late winter, dust and wind in spring, rainfall and hot-humid weather in early summer, and so on. The particulate concentration distribution shows an overall trend of high in the south and low in the north, and the pollution sources are very likely caused by local anthropogenic sources as well as the transmission of surround-ing area. The conjoint analysis on time series and spatial interpolation of particulate concentration has significance for further research of the time-space relationship of particulate matter, and it also provides a method for understanding regional pollution characteristics.