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2016-2017年海口市某国家监测点空气质量时间分布特征

Temporal Distribution Characteristics of Air Quality at A National Monitoring Point in Haikou from 2016 to 2017

  • 摘要: 为了了解2016—2017年海口市海南师范大学国家监测点在不同季节和不同时段的空气质量、车流量及紫外线的变化特征,以便为海口市空气质量现状的研究和空气污染防治提供科学依据,本研究以海口市海南师范大学国家监测点为采样点,测定并采集了2016—2017年不同季节的空气质量指标、车流量及紫外线数据(上午和下午,共100天),对各空气质量指标与车流量,紫外线与O3,NO2与O3的相关性进行了分析.结果显示:于2016—2017年,在海南师范大学处,其上午和下午车流量和紫外线强度的差异均具有统计学意义(P<0.05),而在PM2.5、PM10、O3、NO2、SO2AQI值方面,其上午和下午的差异无统计学意义(P>0.05),但在不同季节,其紫外线强度、PM2.5、PM10、O3、SO2、AQI的差异均具有统计学意义(P<0.05).在相关性分析中,总的车流量与PM10(r=0.161,P<0.05)、NO2与O3(r=0.142,P<0.05)具有相关性;车流量与PM10仅在春季具有相关性,且为正相关;NO2与O3在下午时段为负相关,在夏季为正相关.由此认为:于2016—2017年,在海口市海南师范大学处的主要空气污染物为PM2.5、PM10和O3,且污染主要发生在冬季,该处的车流量处于增长趋势,且与空气中PM10浓度的关系最为密切.

     

    Abstract: In the report, in order to understand the variation characteristics of air quality, vehicle flow and ultraviolet radiation in Haikou National Monitoring Station in different seasons and periods from 2016 to 2017, and provide scientific basis for air quality research and air pollution control in Haikou, Hainan Normal University, Haikou National Monitoring Point, was selected as the sampling point, the data of air quality indicators, vehicle flow and ultraviolet radiation for 100 days in different periods and seasons from 2016 to 2017 were measured. The correlation between air quality indicators and vehicle flow, ultraviolet radiation and O3, NO2 and O3 were analyzed. From 2016 to 2017, there were significant differences between traffic flow and ultraviolet intensity in different time of Hainan Normal University (P< 0.05), but there were no significant differences in PM2.5, PM10, O3, NO2, SO2, AQI(P> 0.05). The differences between ultraviolet intensity, PM2.5, PM10, O3, SO2 and AQI in different seasons were statistically significant (P< 0.05). The correlation between vehicle flow and PM10(r=0.161, P< 0.05) was derived, NO2 and O3(r=0.142, P< 0.05) also existed. Vehicle flow and PM10 was positively correlated only in spring. NO2 and O3 were negatively correlated in the afternoon and positively correlated in summer. These data suggested that from 2016 to 2017, the main air pollutants in Hainan Normal University were PM2.5, PM10 and O3, the pollution season mainly happened in winter, vehicle flow was on the increase trend, and it was most closely related to PM10 concentration in the air.

     

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