收藏设为首页 广告服务联系我们在线留言

干旱区地理 ›› 2024, Vol. 47 ›› Issue (6): 932-941.doi: 10.12118/j.issn.1000-6060.2023.302

• 气候与水文 • 上一篇    下一篇

庆阳市空气污染及气象因子影响特征分析

焦美玲(), 韩晶, 曹彦超, 王娟, 秦拓, 贺涛   

  1. 庆阳市气象局,甘肃 庆阳 745000
  • 收稿日期:2023-06-21 修回日期:2023-09-04 出版日期:2024-06-25 发布日期:2024-07-09
  • 作者简介:焦美玲(1974-),女,高级工程师,主要从事应用气象服务和气候变化等方面的研究. E-mail: jml_920@163.com
  • 基金资助:
    甘肃省气象局科研项目(ZcMs2022-33);庆阳市科技计划项目(QY-STK-2022A-129);庆阳市气象局科技项目(QY2019-3)

Characteristics of air pollution and meteorological factors in Qingyang City

JIAO Meiling(), HAN Jing, CAO Yanchao, WANG Juan, QIN Tuo, HE Tao   

  1. Qingyang Meteorological Bureau, Qingyang 745000, Gansu, China
  • Received:2023-06-21 Revised:2023-09-04 Published:2024-06-25 Online:2024-07-09

摘要:

基于2015—2021年庆阳市空气污染和气象数据,利用变率统计分析庆阳市空气质量指数、首要污染物及其浓度变化特征,运用气候相似性原理和多因子综合评价并探究气象因子对污染物的作用与影响,并确立响应指标,为全市精准开展大气污染防治提供支撑。结果表明:(1) 庆阳市空气质量优良率86.6%,空气质量指数年均为73,呈不明显上升趋势。首要污染物主要为PM10、PM2.5和O3 3种,且季节特征明显。2017年后SO2污染明显改善,但颗粒物与O3并发的复合型污染凸显,与当地气候、污染排放源有密切关系。(2) O3浓度夜间维持较高位,且以1.5 μg·m-3·a-1的年速率上升,气温对O3正效应显著,初夏气温高,降水量少是O3浓度升高和超标的主要驱动因子。(3) 外源输送和供暖期本地排放造成秋末—冬春季的PM10和PM2.5超标。(4) PM10、PM2.5和O3超标日下的主要气象因子阈值特征不同。

关键词: 空气质量, 污染物浓度, 气象影响, 阈值指标, 庆阳市

Abstract:

Based on air pollution and meteorological data (2015—2021) from Qingyang City, Gansu Province, China, this study employed mathematical statistics and Pearson correlation analysis to examine AQI, primary pollutants, and their concentration changes. It aims to explore the influence of meteorological factors on pollution levels and establish response indicators to aid the prevention and control of air pollution in the area. Results indicate that Qingyang City predominantly experiences excellent air quality, with distinct seasonal variations in AQI. The best air quality occurs from mid-summer to mid-autumn, followed by spring, and deteriorates significantly in winter. The primary pollutants identified are O3, PM10, and PM2.5, with O3 peaking in summer, and a combination of PM10, O3 and PM2.5 in spring and autumn. Winter and the heating season primarily feature PM10 and PM2.5. A complex interplay between particulate matter and O3 is evident. Annually, concentrations of SO2, NO2, CO, PM2.5, and PM10 demonstrate a declining trend, whereas O3 shows an average increase of 1.5 µg·m-3·a-1. Monthly and seasonal concentration fluctuations are significant, with elevated levels of PM10 and PM2.5 in winter and spring, and the highest O3 concentrations in June. Moderate or severe pollution episodes predominantly occur from late autumn to winter and spring, driven by local climate conditions and pollution sources. Temperature significantly enhances O3 concentrations, with high temperatures in early summer and low precipitation serving as primary contributors. External transport and local emissions during the heating season lead to exceedances in PM10 and PM2.5 standards. Daily O3 variations display a unimodal pattern, without significant nighttime decreases. Conversely, other pollutants exhibit a bimodal daily pattern, with peaks around 04:00 and 15:00, and elevated levels at 20:00 and 09:00. Exceedance days for PM10, PM2.5, and O3 typically coincide with dry conditions or precipitation less than 3 mm. Meteorological factors such as air pressure, temperature, humidity, maximum wind speed, and wind direction show marked variations on these days. The periods with the highest frequency of PM10 exceedances span from March to April, PM2.5 from December to January of the following year, and O3 from June to July. For PM10, the exceedance thresholds include temperatures of 10-20 ℃, humidity levels of 20%-50%, air pressure between 850-863 hPa, and maximum wind speeds of 4 m·s-1 or above, predominantly with NW winds. PM2.5 exceedances occur at temperatures of -5-3 ℃, humidity of 40%-80%, air pressure between 854-867 hPa, and maximum wind speeds of 2-6 m·s-1, with SW and S winds. O3 exceedances are noted at temperatures of 19-26 ℃, humidity of 25%-60%, air pressure between 851-858 hPa, and maximum wind speeds of 3-5 m·s-1, under S and SW winds.

Key words: air quality, pollutant concentration, meteorological influences, threshold indicator, Qingyang City