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.
作者
虞鹏
董华
柳守婷
程健
林欢
张敬奎
YU Peng;DONG Hua;LIU Shou-ting;CHENG Jian;LIN Huan;ZHANG Jing-kui(School of Environment and Municipal Engineering,Qingdao University of Technology,Qingdao 266033,China)
出处
《科学技术与工程》
北大核心
2019年第6期298-303,共6页
Science Technology and Engineering
基金
国家自然科学基金(51506106)
中国博士后面上基金(2017M612225)资助
关键词
熵增
能源消费
颗粒物
消纳能力
entropy increase
energy consumption
particulates
absorption capacity
