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高原气象  2017, Vol. 36 Issue (6): 1693-1702    DOI: 10.7522/j.issn.1000-0534.2016.00130
论文     
基于器测能见度的霾天气判断标准的探讨
石春娥1, 张浩1, 马井会2, 吴必文1, 王兴3, 陈汝龙1, 杨元建1
1. 安徽省气象科学研究所, 安徽省大气科学与卫星遥感重点实验室, 安徽 合肥 230031;
2. 长三角环境气象预报 预警中心, 上海 200030;
3. 合肥市气象局, 安徽 合肥 230000
Investigation on Norm of Haze Identification based on Hourly Auto-monitored Visibility
SHI Chun'e1, ZHANG Hao1, MA Jinghui2, WU Biwen1, WANG Xing3, CHEN Rulong1, YANG Yuanjian1
1. Anhui Institute of Meteorological Sciences, Key Laboratory for Atmospheric Sciences and Remote Sensing of Anhui Province, Hefei 230031, Anhui, China;
2. Yangtze River Delta Center for Environmental Meteorology Prediction and Warning, Shanghai 200030, China;
3. Hefei Meteorological Bureau, Hefei 230041, Anhui, China
 全文: PDF(2538 KB)  
摘要: 利用2015年安徽6个地级市的器测能见度、相对湿度、降水等资料,结合环保部门公布的逐时细颗粒物(PM2.5)质量浓度资料,通过对PM2.5质量浓度与相对湿度关系的分析,初步给出了四个霾的诊断方案,然后利用上述方案进行回算,探讨了基于逐时器测能见度资料确定霾天气的客观标准。结果表明,"排除降水,临界相对湿度(RHc)取90%,器测能见度不超过5 km"作为小时霾的判据,6 h连续为霾算作一个霾日,得到的霾日数较为合理且具有历史延续性。另外,根据该方案得到的各级霾天气也具有较好的空气质量指示意义,因此,该方案是可取的。
关键词: 霾标准器测能见度临界相对湿度PM2.5质量浓度安徽    
Abstract: At present, auto-monitored visibility was adopted by more and more meteorological stations in China. At the same time, some weather phenomena were not recorded by observer any longer. It is necessary and urgent to set up a reasonable norm of haze identification using auto-monitored meteorological parameters, so that not only it contains information of air quality, maintains the continuity of annual haze days, but also the method is easy to put into application. In this paper, through summarizing of norms and some references related to haze identification, basic parameters were chosen for haze diagnosis. Based on analysis of relationship between PM2.5 concentration and relative humidity using hourly meteorological data at observatories of six cities in Anhui province, together with hourly PM2.5 concentrations published by environment department, four initial schemes were proposed, that are, auto-monitored visibility lower than 5 km, adopting critical relative humidity (RHc) as 90% (or 95%), considering PM2.5 concentration or not. Then, hourly and daily hazes of 2015 were re-diagnosed for those cities based on those schemes. Some rules were considered in the investigation of objective standards for haze identification, e. g., haze being indicator of air pollution, maintaining the continuity of annual haze days. The results indicated that hourly haze can be identified as "excepting hourly rainfall over 0.1mm, the auto-monitored visibility no more than 5 km with the RH lower than 90% (RHc=90%), neglecting PM2.5 concentration". A day with consecutive 6 h haze can be defined as a haze day. The annual haze days obtained by this method were reasonable and a good indicator of air quality.
Key words: Norm of haze    auto-monitored visibility    PM2.5    critical relative humidity    Anhui
收稿日期: 2016-09-12 出版日期: 2017-12-20
ZTFLH:  P427  
基金资助: 安徽省自然科学基金项目(1608085MD84);华东区域气象科技协同创新基金(QYHZ201401);安徽省省级环境保护科研项目(2015-002)
作者简介: 石春娥(1970),女,安徽人,研究员,主要从事环境气象研究.E-mail:shichune@sina.com
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引用本文:

石春娥, 张浩, 马井会, 吴必文, 王兴, 陈汝龙, 杨元建. 基于器测能见度的霾天气判断标准的探讨[J]. 高原气象, 2017, 36(6): 1693-1702.

SHI Chun'e, ZHANG Hao, MA Jinghui, WU Biwen, WANG Xing, CHEN Rulong, YANG Yuanjian. Investigation on Norm of Haze Identification based on Hourly Auto-monitored Visibility. PLATEAU METEOROLOGY, 2017, 36(6): 1693-1702.

链接本文:

http://www.gyqx.ac.cn/CN/10.7522/j.issn.1000-0534.2016.00130        http://www.gyqx.ac.cn/CN/Y2017/V36/I6/1693

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