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河谷型城镇大气污染时空变化规律及影响因子研究
引用本文:杨永刚,秦作栋,刘勇,尹振良,陆志翔.河谷型城镇大气污染时空变化规律及影响因子研究[J].山西大学学报(自然科学版),2012,35(1):158-162.
作者姓名:杨永刚  秦作栋  刘勇  尹振良  陆志翔
作者单位:1. 山西大学黄土高原研究所,山西太原,030006
2. 中国科学院寒区旱区环境与工程研究所,甘肃兰州,730000
基金项目:冻土工程国家重点实验室开放基金(SKLFSE200905);国家自然科学基金(40801021;91025016)
摘    要:大气污染问题是河谷型城镇目前面临的最严峻的挑战,利用典型河谷型城镇山西省灵石县2005-2009年的主要污染物SO2、PM10和NOx的浓度监测资料与同期的地面气象资料分析了其大气污染物的时空变化规律,研究分析了污染物的扩散、迁移、转化机制与污染机理,研究得出河谷地形与逆温影响是灵石县城大气污染严重的主要原因,并提出了合理、有效的改善河谷型城镇大气环境质量和大气污染综合治理的措施与对策.

关 键 词:河谷地形  逆温  大气污染

Research on the Tempoyal and Spatial Changle Law and Impact Factors of Atmespheric Pollution in the River Valley Town
YANG Yong-gang , QIN Zuo-dong , LIU Yong , YIN Zhen-liang , LU Zhi-xiang.Research on the Tempoyal and Spatial Changle Law and Impact Factors of Atmespheric Pollution in the River Valley Town[J].Journal of Shanxi University (Natural Science Edition),2012,35(1):158-162.
Authors:YANG Yong-gang  QIN Zuo-dong  LIU Yong  YIN Zhen-liang  LU Zhi-xiang
Institution:1.Institute of Loess Plateau,Shanxi University,Taiyuan 030006,China; 2.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences,Lanzhou 730000,China)
Abstract:The problems of serious atmospheric pollution has become the greatest challenge faced by the river valley town.Based on the density of several kinds of main pollutants such as PM10,SO2 and NOx and ground meteorological data of Lingshi county(2005~2009),being a typical river valley town in Shanxi,the temporal and spatial change rules of atmospheric pollutants were stadied.By the analysis of the diffusion,move,transforming mechanism and atmospheric pollution mechanism of pollutants,the results shows that the river valley terrain,parasol cold lake effect,converse temperature layer depth and intensity are the major controlling factors of atmospheric pollution in Lingshi County.In addition,some countermeasures are put forward to economically,rationally and effectively improve the air quality and air pollution treatment of the river valley town.
Keywords:river valley terrain  converse temperature  atmespheric pollution
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