合肥市大气能见度变化特征及其影响因素

doi:10.13287/j.1001-9332.201702.029

应用生态学报 ›› 2017, Vol. 28 ›› Issue (2): 485-492.doi: 10.13287/j.1001-9332.201702.029

• 中国生态学学会2016年学术年会会议专栏 • 上一篇下一篇

合肥市大气能见度变化特征及其影响因素

施悯悯¹, 张庆国^2*, 张浩³, 王凤文¹

¹安徽农业大学资源与环境学院, 合肥 230036;
²安徽农业大学理学院, 合肥 230036;
³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, 合肥 230031

收稿日期:2016-07-06 出版日期:2017-02-18 发布日期:2017-02-18
通讯作者: * E-mail: qgzhang@ahau.edu.cn
作者简介:施悯悯, 女, 1991年生, 硕士研究生. 主要从事应用气象研究. E-mail: shiminmin9866@163.com
基金资助:
本文由安徽省省级环境保护科研项目(2015-002)资助

Characteristics of atmospheric visibility change and its influence factors in Hefei City, Anhui, China.

SHI Min-min¹, ZHANG Qing-guo^2*, ZHANG Hao³, WANG Feng-wen¹

¹School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China;
²School of Science, Anhui Agricultural University, Hefei 230036, China;
³Anhui Research Institute of Meteorological Science/Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Hefei 230031, China.

Received:2016-07-06 Online:2017-02-18 Published:2017-02-18
Contact: * E-mail: qgzhang@ahau.edu.cn
Supported by:
This work was supported by the Anhui Provincial Environmental Protection Projects (2015-002).

摘要/Abstract

摘要： 利用2013年10月至2015年6月合肥市大气能见度的观测资料以及同期观测的气象要素和PM_2.5、PM₁₀浓度的资料,在全面分析大气能见度影响因子的基础上,重点探讨相对湿度(RH)、PM_2.5和PM₁₀浓度与大气能见度的关系.结果表明: 研究期间,合肥市大气能见度与RH的相关性最高.当RH<60%时,随着RH的增大,PM_2.5和PM₁₀浓度与大气能见度的相关系数也逐渐增大;当RH>60%时,颗粒物浓度与大气能见度的相关系数呈递减趋势;当50%≤RH＜60%时,PM_2.5和PM₁₀浓度与大气能见度的相关系数最大.RH较高时,大气能见度主要受RH影响,反之,颗粒物浓度对大气能见度的影响较大.当RH>70%时,大气能见度等值线变化幅度较大,RH对大气能见度的影响加强.根据RH、PM_2.5和PM₁₀浓度与大气能见度的拟合公式,非线性拟合模型优于多元线性拟合模型,可以较好地模拟大气能见度的变化规律.

关键词: PM_2.5和PM₁₀, PROVSV曲线分析, 大气能见度, 相对湿度

Abstract: Using the observation data of Hefei atmospheric visibility and meteorological elements and PM_2.5 and PM₁₀ concentrations at same period from October 2013 to June 2015, based on comprehensive analysis of the impact factors on atmospheric visibility, the relationships among the relative humidity (RH), PM_2.5 and PM₁₀ concentrations and visibility were explored. The results showed that the correlation between RH and Hefei atmospheric visibility was most significant during the period of study. When RH<60%, the coefficients of correlation between PM_2.5, PM₁₀ concentrations and atmospheric visibility increased gradually with the increasing RH. When RH>60%, the coefficients of correlation between the particles concentration in atmosphere and atmospheric visibility showed a decreasing trend. When 50%≤RH<60%, the coefficients of correlation between PM_2.5, PM₁₀ concentrations and atmosphere visibility were higher. When RH was relatively higher, the atmospheric visibility was mainly affected by the relative humidity, on the contrary, the concentration of particles had a greater influence on the visibility. When RH>70%, the change amplitude of contour line of atmospheric visibility was larger, and the impacts of RH on atmospheric visibility were intensified. According to the formula fitted by the data of RH, PM_2.5, PM₁₀ concentrations and atmospheric visibility, the nonlinear fitting model was better than multivariate linear fitting model in simulating the change of atmospheric visibility.

Key words: atmospheric visibility, PM₂₅ and PM₁₀, PROVSV curve analysis, relative humidity (RH)

施悯悯, 张庆国, 张浩, 王凤文. 合肥市大气能见度变化特征及其影响因素[J]. 应用生态学报, 2017, 28(2): 485-492.

SHI Min-min, ZHANG Qing-guo, ZHANG Hao, WANG Feng-wen. Characteristics of atmospheric visibility change and its influence factors in Hefei City, Anhui, China.[J]. Chinese Journal of Applied Ecology, 2017, 28(2): 485-492.

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合肥市大气能见度变化特征及其影响因素

Characteristics of atmospheric visibility change and its influence factors in Hefei City, Anhui, China.

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