摘要
基于2018—2022年海南岛18个市县的PM_(2.5)和O_(3)浓度监测数据,通过变异系数、后向轨迹聚类分析和时空地理加权回归模型探讨了PM_(2.5)和O_(3)浓度、气团来源路径及影响因子的时空变化特征.结果表明,2018—2022年海南岛以PM_(2.5)和O_(3)为主要污染物,二者在空间上和季节变化上均有较好的一致性;PM_(2.5)和O_(3)浓度均呈中部低四周高、北高南低的空间分布特征,二者高值区均聚集在北部,低值区均聚集在南部;PM_(2.5)比O_(3)显示出更明显的空间集聚性.变异系数显示,PM_(2.5)浓度冬季空间差异(0.155)最大,夏季最小(0.123);O_(3)浓度夏季空间差异(0.109)最大,冬季最小(0.091).海南岛秋冬季受我国内陆气团影响显著时PM_(2.5)和O_(3)浓度高,春夏季以海上气团为主时PM_(2.5)和O_(3)浓度低.冬季海南岛北部受我国内陆气团影响较南部显著,PM_(2.5)浓度南北差异大.时空地理加权回归分析结果表明,各市县人均GDP、年末实有道路长度对海南岛PM_(2.5)和O_(3)浓度起正向作用,第三产业占比相反.第二产业的发展是导致西南部PM_(2.5)和O_(3)浓度升高的重要因素;第三产业的发展更利于西北部PM_(2.5)和O_(3)浓度的改善;人口密度和道路长度对北部PM_(2.5)和O_(3)浓度的正向影响较大.
Based on PM_(2.5) and O_(3) monitoring data from 18 cities on Hainan Island from 2018 to 2022,the spatial-temporal characteristics of PM_(2.5) and O_(3) concentrations,including their transport paths and influencing factors were analyzed using the coefficient of variation,backward trajectory cluster analysis,and geographically and temporally weighted regression model.The results indicate that PM_(2.5) and O_(3) were the predominant pollutants in Hainan Island during this period,exhibiting consistent spatial and seasonal patterns characterized.Spatially,concentrations of both pollutants were lower in the central regions and higher in peripheral areas,with the highest levels in the north and the lowest in the south.High-value clusters for both PM_(2.5) and O_(3) were predominantly found in the northern part of the island,while low-value areas were concentrated in the south,with PM_(2.5) showing more significant spatial clustering than O_(3).The coefficients of variation revealed that the spatial variation in PM_(2.5) concentrations was the greatest in winter(0.155)and least in summer(0.123).Conversely,O_(3) concentrations varied most in summer(0.109)and least in winter(0.091).Seasonally,during autumn and winter,Hainan Island was significantly influenced by air masses from inland China,resulting in high concentrations of both PM_(2.5) and O_(3).In contrast,during spring and summer,maritime air masses dominated,leading to lower pollutant levels.Specifically,the northern regions of Hainan Island were more profoundly impacted by inland air masses during winter,resulting in notable north-south disparities in PM_(2.5) concentrations.The geographically and temporally weighted regression results indicated that regional Gross Domestic Product and the Length of Paved Roads at Yearend positively influenced PM_(2.5) and O_(3) levels on Hainan Island,whereas the proportion of the tertiary industry had opposite effect.the development of the secondary industry was an important factor leading to an increase in PM_(2.5) and O_(3) c
作者
曾兆荷
孟鑫鑫
徐文帅
岳林
邢宝钗
盛慧
ZENG Zhaohe;MENG Xinxin;XU Wenshuai;YUE Lin;XING Baochai;SHENG Hui(Hainan Provincial Ecological and Environmental Monitoring Centre,Haikou 571126)
出处
《环境科学学报》
CAS
CSCD
北大核心
2024年第10期30-41,共12页
Acta Scientiae Circumstantiae
基金
2020年海南省重大科技计划项目(No.ZDKJ202007)
海南省自然科学基金青年基金项目(No.423QN315)。
关键词
PM_(2.5)和O_(3)
时空分布
变异系数
后向轨迹
时空地理加权回归
PM_(2.5) and O_(3)
spatial-temporal
the coefficient of variation
backward trajectory
geographically and temporally weighted regression model
