摘要
为了减缓和控制大气污染程度,需要研究大气污染物迁移规律,但常规方法未考虑污染物随风移动而产生的迁移现象,使获得的迁移规律与实际情况存在较大误差。因此,提出大风天气条件下区域大气污染物迁移规律模拟研究。利用污染系数描述大气污染物迁移与风向、风速间的关系,并采用雷诺数和运动学分析湍流对污染物的影响,结合浓度函数建立区域大气污染物迁移模拟函数。实验结果表明:当风速较小时,大气污染物获得的动能小,迁移能力较弱;当风速越大时,大气污染物获得动能较大,迁移能力也越强。研究结果与实际情况一致,具有参考价值。
In order to reduce and control air pollution,it is necessary to study the migration patterns of atmospheric pollutants.However,conventional methods do not consider the migration phenomenon caused by pollutants moving with the wind,resulting in significant errors between the obtained migration patterns and the actual situation.Therefore,a simulation study on the migration patterns of regional atmospheric pollutants under strong wind weather conditions is proposed.The paper uses pollution coefficients to describe the relationship between atmospheric pollutant migration and wind direction and speed.It applies Reynolds number and kinematic analysis to investigate the impact of turbulence on pollutants.By combining with concentration functions,a regional atmospheric pollutant migration simulation function is established.The experimental results show that when the wind speed is low,the kinetic energy obtained by atmospheric pollutants is small and their migration ability is weak.When the wind speed is higher,atmospheric pollutants gain more kinetic energy and have stronger migration ability.The research results are consistent with the actual situation and have reference value.
作者
张艳玲
Zhang Yanling(Shangqiu Meteorological Bureau,Shangqiu 476000,China)
出处
《环境科学与管理》
CAS
2024年第9期67-72,共6页
Environmental Science and Management
关键词
大气湍流
迁移规律
雷诺数
污染物浓度
污染系数
atmospheric turbulence
migration patterns
Reynolds number
pollutant concentration
pollution coefficient