气候与环境研究
氣候與環境研究
기후여배경연구
Climatic and Environmental Research
2015年
6期
675-684
,共10页
洪也%杨婷%王喜全%马雁军%关颖%张云海%周德平%王扬锋%刘宁微
洪也%楊婷%王喜全%馬雁軍%關穎%張雲海%週德平%王颺鋒%劉寧微
홍야%양정%왕희전%마안군%관영%장운해%주덕평%왕양봉%류저미
灰霾%跨区域输送%辽宁中部城市群%京津冀地区%天气分型
灰霾%跨區域輸送%遼寧中部城市群%京津冀地區%天氣分型
회매%과구역수송%료녕중부성시군%경진기지구%천기분형
Haze episode%Long-range transport%Central Liaoning city group%Beijing-Tianjin-Hebei region%Weather Pattern
利用MODIS(MODerate-resolution Imaging Spectroradiometer)卫星资料、空气质量监测资料、地面气象资料及后向轨迹方法,对辽宁中部城市群代表性城市——沈阳市2009年全年发生的30 d首要污染物为PM10(空气动力学当量直径小于等于10μm的颗粒物,即可吸入颗粒物)且空气污染指数API(Air pollution Index)为3级及以上污染过程的天气形势及污染来源进行了综合分析。研究结果表明:引发3级以上重污染事件的天气形势主要为4类,分别为高压均压场型(包括高压后均压场型、高压前均压场型和高压内均压场型)、长白山小高压型、弱低压场型及地形槽型。发生污染天气时气流主要有两个来向,即西南方向的京津冀来向和偏北方向的内蒙和长春来向。气流来自偏南方向的天数最多,为19 d。其中最容易受京津冀影响的天气型为高压后均压场型和地形槽型,共有8 d,占总污染天数的26.7%。因此,来自京津冀的外来输送对于辽宁中部城市群霾污染的影响不容小视,辽宁中部城市群空气质量的改善与临近区域的改善紧密相关。
利用MODIS(MODerate-resolution Imaging Spectroradiometer)衛星資料、空氣質量鑑測資料、地麵氣象資料及後嚮軌跡方法,對遼寧中部城市群代錶性城市——瀋暘市2009年全年髮生的30 d首要汙染物為PM10(空氣動力學噹量直徑小于等于10μm的顆粒物,即可吸入顆粒物)且空氣汙染指數API(Air pollution Index)為3級及以上汙染過程的天氣形勢及汙染來源進行瞭綜閤分析。研究結果錶明:引髮3級以上重汙染事件的天氣形勢主要為4類,分彆為高壓均壓場型(包括高壓後均壓場型、高壓前均壓場型和高壓內均壓場型)、長白山小高壓型、弱低壓場型及地形槽型。髮生汙染天氣時氣流主要有兩箇來嚮,即西南方嚮的京津冀來嚮和偏北方嚮的內矇和長春來嚮。氣流來自偏南方嚮的天數最多,為19 d。其中最容易受京津冀影響的天氣型為高壓後均壓場型和地形槽型,共有8 d,佔總汙染天數的26.7%。因此,來自京津冀的外來輸送對于遼寧中部城市群霾汙染的影響不容小視,遼寧中部城市群空氣質量的改善與臨近區域的改善緊密相關。
이용MODIS(MODerate-resolution Imaging Spectroradiometer)위성자료、공기질량감측자료、지면기상자료급후향궤적방법,대료녕중부성시군대표성성시——침양시2009년전년발생적30 d수요오염물위PM10(공기동역학당량직경소우등우10μm적과립물,즉가흡입과립물)차공기오염지수API(Air pollution Index)위3급급이상오염과정적천기형세급오염래원진행료종합분석。연구결과표명:인발3급이상중오염사건적천기형세주요위4류,분별위고압균압장형(포괄고압후균압장형、고압전균압장형화고압내균압장형)、장백산소고압형、약저압장형급지형조형。발생오염천기시기류주요유량개래향,즉서남방향적경진기래향화편북방향적내몽화장춘래향。기류래자편남방향적천수최다,위19 d。기중최용역수경진기영향적천기형위고압후균압장형화지형조형,공유8 d,점총오염천수적26.7%。인차,래자경진기적외래수송대우료녕중부성시군매오염적영향불용소시,료녕중부성시군공기질량적개선여림근구역적개선긴밀상관。
The city group of central Liaoning (CL) is one of the major air pollution areas in Northeast China. Based on the MODIS (MODerate-resolution Imaging Spectroradiometer) satellite data, air quality monitoring data, and ground meteorological data for Shenyang (one of the cities in the CL city group) in 2009, this paper, using the backward trajectory method, analyzes the weather patterns and haze pollution sources of 30 haze pollution days on which particulate matter (PM10) was the main pollutant and the Air Pollution Index (API) level was≥3. The results show that there were four different weather patterns that mainly triggered the heavy air pollution episodes: A uniform high-pressure field pattern, such as rear high-pressure, high-pressure in front, or high-pressure inside; the Changbai Mountains small high-pressure pattern; a weak gradient low-pressure field pattern; and a topographic trough pattern. The polluted days were mainly influenced by the southwest airflows from the Beijing–Tianjin–Hebei (BTH) region and the northerly airflows from Inner Mongolia–Changchun. Most (19) of the polluted days were generated under the southwest airflows conditions. The external haze pollutants from the BTH region were transported to the CL city group via Bohai Bay and the Liaoxi Corridor, and were mostly influenced by the near-surface southwesterly airflow from the uniform pressure field pattern to the rear of the high pressure and the topographic trough pattern. The two patterns resulted in eight polluted days, which accounted for 26.7% of the total number of haze days (30) in Shengyang during 2009. This demonstrates that cross-regional impacts of haze pollution cannot be ignored. The improvement of air quality in the CL city group is closely related to that over its neighboring regions, especially the BTH region. This poses a challenge for air pollution regional control strategies in China in the future.