环境熵变化对大气颗粒物沉降的影响

详细信息    查看全文 | 推荐本文 |

英文篇名：Influence of Environmental Entropy Change on Atmospheric Particulate Sedimentation 作者：虞鹏 ; 董华 ; 柳守婷 ; 程健 ; 林欢 ; 张敬奎 英文作者：YU Peng;DONG Hua;LIU Shou-ting;CHENG Jian;LIN Huan;ZHANG Jing-kui;School of Environment and Municipal Engineering,Qingdao University of Technology; 关键词：熵增 ; 能源消费 ; 颗粒物 ; 消纳能力 英文关键词：entropy increase;;energy consumption;;particulates;;absorption capacity 中文刊名：KXJS 英文刊名：Science Technology and Engineering 机构：青岛理工大学环境与市政工程学院; 出版日期：2019-02-28 出版单位：科学技术与工程 年：2019 期：v.19;No.475 基金：国家自然科学基金(51506106);; 中国博士后面上基金(2017M612225)资助 语种：中文; 页：KXJS201906092 页数：6 CN：06 ISSN：11-4688/T 分类号：303-308

摘要

通过分析环境系统熵的构成和熵变化规律,建立了系统动态熵模型。当系统内部熵增感应系数β> 1时,当前时间段的熵与上一时间段系统熵正相关;当0 <β<1时,二者负相关。同时,结合能源消费量、能源加工转换效率、PM_(2. 5)年均浓度变化等数据,研究了熵变化对于环境有序度的影响以及对于颗粒物沉降的作用。研究结果表明,降低系统能源消费、提高能源加工转换效率,可以有效地减小熵产、增加环境有序度,最终使得环境对颗粒物的消纳能力上升,有利于颗粒物沉降,减少雾霾天气现象。
        By analyzing the composition of the entropy of the environment system and the law of entropy change,the dynamic entropy model of the system is established. When the internal entropy increase inductance β > 1,the entropy of the current time period is positively correlated with the entropy of the previous time period. When 0 <β < 1,there is a negative correlation. At the same time,combined with energy consumption,energy processing conversion efficiency,PM-_(2. 5) annual average concentration change and other data,the impact of entropy change on environmental ordering and the effect of particulate sedimentation are studied. The research results show that reducing system energy consumption,increasing the energy processing conversion efficiency can effectively reduce the entropy production,increase the environmental order,and finally increase the environmental absorption capacity of particulate matter,which is conducive to the settlement of particulate matter and reduce the haze.

引文

1盛真真,叶春明,姜绵峰.上海市雾霾天气影响因子研究[J].环境科学与技术,2016,39(10):198-204Sheng Zhenzhen,Ye Chunming,Jiang Mianfeng.Influence factors of haze weather in Shanghai City[J].Environmental Science&Technology,2016,39(10):198-204
    2魏嘉,吕阳,付柏淋.我国雾霾成因及防控策略研究[J].环境保护科学,2014,40(5):51-56Wei Jia,LüYang,Fu Bolin.Research of haze formation and prevention strategies in China[J].Environmental Protection Science,2014,40(5):51-56
    3周羽生,罗屿,赵纯,等.人工气候室雾霾模拟方法及装置[J].高电压技术,2017,43(3):909-914Zhou Yusheng,Luo Yu,Zhao Chun,et al.Haze-fog simulation method and device in the artificial climate chamber[J].High Voltage Engineering,2017,43(3):909-914
    4 Van R K,Anastasopolos A T,Evans G,et al.Metro commuter exposures to particulate air pollution and PM2.5-associated elements in three canadian cities:The urban transportation exposure study[J].Environmental Science&Technology,2017,51(10):5713-5720
    5 Jaiprakash,Habib G.Chemical and optical properties of PM2.5from on-road operation of light duty vehicles in Delhi City[J].Science of the Total Environment,2017,586:900-916
    6 Zheng M,Cass G R,Schauer J J,et al.Source apportionment of PM2.5in the Southeastern United States using solvent-extractable organic compounds as tracers[J].Environmental Science&Technology,2002,36(11):2361-2371
    7 Chowdhury S,Dey S,Smith K R.Ambient PM2.5exposure and expected premature mortality to 2100 in India under climate change scenarios[J].Nature Communications,2018,9(1):318-327
    8董国兴.运用熵增原理探讨环境污染与环境保护[J].职大学报,2004(2):1-4Dong Guoxing.Exploring environmental pollution and environmental protection by entropy increase principle[J].Journal of the Staff and Worker's University,2004(2):1-4
    9国家统计局.中国能源统计年鉴2017[M].北京:中国统计出版社,2017National Bureau of Statistics.China energy statistical yearbook 2017[M].Beijing:China Statistics Press,2017
    10中华人民共和国环境保护部.2013中国环境状况公报[R].北京:中华人民共和国环境保护部,2014Ministry of Environmental Protection of the People's Republic of China.2013 China environmental status bulletin[R].Beijing:Ministry of Environmental Protection of the People's Republic of China,2014
    11中华人民共和国环境保护部.2014中国环境状况公报[R].北京:中华人民共和国环境保护部,2015Ministry of Environmental Protection of the People's Republic of China.2014 China environmental status bulletin[R].Beijing:Ministry of Environmental Protection of the People's Republic of China,2015
    12中华人民共和国环境保护部.2015中国环境状况公报[R].北京:中华人民共和国环境保护部,2016Ministry of Environmental Protection of the People's Republic of China.2015 China environmental status bulletin[R].Beijing:Ministry of Environmental Protection of the People's Republic of China,2016
    13中华人民共和国环境保护部.2016中国环境状况公报[R].北京:中华人民共和国环境保护部,2017Ministry of Environmental Protection of the People's Republic of China.2016 China environmental status bulletin[R].Beijing:Ministry of Environmental Protection of the People's Republic of China,2017
    14国家统计局.中国能源统计年鉴2016[M].北京:中国统计出版社,2016National Bureau of Statistics.China energy statistical yearbook 2016[M].Beijing:China Statistics Press,2016
    15国家统计局.中国统计年鉴2016[M].北京:中国统计出版社,2016National Bureau of Statistics.China statistical yearbook 2016[M].Beijing:China Statistics Press,2016
    16江西省环境保护厅.2015年江西省环境状况公报[R].南昌:江西省环境保护厅,2016Environmental Protection Department of Jiangxi Province.Bulletin of the state of the environment of Jiangxi Province in 2015[R].Nanchang:Environmental Protection Department of Jiangxi Province,2016
    17吉林省环境保护厅.吉林省2015年环境状况公报[R].长春:吉林省环境保护厅,2016Environmental Protection Department of Jilin Province.Bulletin of the state of the environment of Jilin Province in 2015[R].Changchun:Environmental Protection Department of Jilin Province,2016
    18天津市环境保护局.2015年天津市环境状况公报[R].天津:天津市环境保护局,2016Tianjin Environmental Protection Bureau.Tianjin environmental status bulletin in 2015[R].Tianjin:Tianjin Environmental Protection Bureau,2016