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基于多源异构数据的沧州市大气环境管理APP平台的构建与应用
引用本文:成国庆,伯鑫,李时蓓,高爽,屈加豹,马岩,李厚宇,路瑞娟,雷团团.基于多源异构数据的沧州市大气环境管理APP平台的构建与应用[J].环境科学研究,2019,32(10):1747-1754.
作者姓名:成国庆  伯鑫  李时蓓  高爽  屈加豹  马岩  李厚宇  路瑞娟  雷团团
作者单位:河北正润环境科技有限公司,河北石家庄,050091;北京科技大学能源与环境工程学院,北京,100083;生态环境部环境工程评估中心,北京,100012;南京大学环境规划设计研究院股份公司,江苏南京,210093;山东师范大学地理与环境学院,山东济南,250014;沧州市环境保护科学研究院,河北沧州,061000;生态环境部环境工程评估中心,北京 100012;河北科技大学环境科学与工程学院,河北石家庄050018
基金项目:大气重污染成因与治理攻关项目(No.DQGG0209-07,DQGG0304-07);河北省重点研发项目(No.18273705D)
摘    要:大气环境管理平台是目前我国城市大气环境管理的重要手段.利用气象、空气质量、污染源等多源异构数据资料,以模型集成分析的方法,针对沧州市的消峰和污染减排问题,开发了大气环境管理平台(APP),并对沧州市大气污染过程进行综合分析和验证.以沧州市2019年1月27-30日两次大气污染过程为例进行分析,结果表明:①污染过程1(2019年1月27日14:00-1月28日02:00)中ρ(PM2.5)/ρ(PM10)平均值为0.59,ρ(SO2)、ρ(NO2)和ρ(CO)平均值分别为37.0 μg/m3、66.7 μg/m3和1.5 mg/m3;污染过程2(1月29日10:00-1月30日09:00)中ρ(PM2.5)/ρ(PM10)平均值为0.61,ρ(SO2)、ρ(NO2)和ρ(CO)平均值分别为38.5 μg/m3、67.7 μg/m3和1.8 mg/m3,说明加强对前体物的控制是削弱重污染时段ρ(PM2.5)的重要途径.②污染过程1的相对湿度在重度污染时段增长显著,污染过程2中相对湿度有10 h在70%以上;同时,在此期间风速较小,近地面逆温层较厚,从而加速了颗粒物吸湿增长和二次转化,说明高湿、低风速等气象条件是形成重污染天气的主要原因之一.③源解析结果表明,外来源的平均贡献率为44.73%,本地源的平均贡献率为55.27%,本地工业源、民用源、交通源和电力源贡献率分别为42.20%、11.97%、1.00%和0.10%,说明重污染期间沧州市受到周边区域传输具有一定的可能性,本地源的贡献主要来自工业源和民用源. 

关 键 词:大气污染  管理平台  APP  沧州市
收稿时间:2019/7/2 0:00:00
修稿时间:2019/8/29 0:00:00

Construction and Application of APP Platform for Cangzhou City Atmosphere Environmental Management based on Multi-Source Isomerism Data
CHENG Guoqing,BO Xin,LI Shibei,GAO Shuang,QU Jiabao,MA Yan,LI Houyu,LU Ruijuan and LEI Tuantuan.Construction and Application of APP Platform for Cangzhou City Atmosphere Environmental Management based on Multi-Source Isomerism Data[J].Research of Environmental Sciences,2019,32(10):1747-1754.
Authors:CHENG Guoqing  BO Xin  LI Shibei  GAO Shuang  QU Jiabao  MA Yan  LI Houyu  LU Ruijuan and LEI Tuantuan
Institution:Hebei Zhengrun Environmental Technology Co., Ltd., Shijiazhuang 050091, China,Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China,Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China,Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing 210093, China,Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China,Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China,Shandong Normal University of Geography and Environment, Jinan 250014, China,Environmental Protection Science Research Institute of Cangzhou City, Cangzhou 061000, China and Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China;School of Science and Technology of Environmental, Hebei University of Science and Technology, Shijiazhuang 050018, China
Abstract:The atmospheric management platform is an important means of urban atmospheric environmental management in China. Using multi-source heterogeneous data such as meteorology, air quality and pollution sources. In response to the peak and pollution reduction problems in Cangzhou City, the APP platform of atmospheric environmental management system was developed by means of model integration analysis, the process of atmospheric pollution in Cangzhou City was comprehensively analyzed and verified. Taking the two atmospheric pollution process from 1.27 to 1.30 in Cangzhou City in 2019 as an example. The results showed that:(1) In pollution process 1 (began at 14:00 on 27th and reached severe pollution at 02:00 on 28th), the average value of ρ(PM2.5)/ρ(PM10) was 0.59, and the average values of ρ(SO2), ρ(NO2)and ρ(CO) were 37.0 μg/m3, 66.7 μg/m3 and 1.5 mg/m3. In pollution process 2 (began at 10:00 on 29th and reached severe pollution at 09:00 on 30th), the average value of ρ(PM2.5)/ρ(PM10) was 0.61, and the average values of ρ(SO2), ρ(NO2)and ρ(CO) were 38.5 μg/m3, 67.7 μg/m3 and 1.8 mg/m3, indicating that it is important to enhance control of the precursors to weaken heavy pollution time ρ(PM2.5). (2) The humidity of pollution process 1 increased significantly during heavy pollution time, and the relative humidity in heavy pollution process 2 reached more than 70% for 10 h. At the same time, the wind speed was low during this period. The thickness of the near-ground inversion layer accelerated the growth of moisture absorption and secondary transformation of particles, indicating that meteorological conditions such as high humidity and low wind speed were among the main reasons for the formation of heavy polluted weather. (3) The results of source apportionment showed that the contribution of outside source occupied an average of 44.73%, while 55.27% was from the local area. Local industry, civil use, transport and electricity contributed 42.20%, 11.97%, 1.00% and 0.10%, respectively. Indicating thatduring the heavy pollution period, Cangzhou City had a certain possibility of transmission from the surrounding area. Coal contribution was mainly from industrial and civilian combustion. 
Keywords:air pollution  management platform  APP  Cangzhou City
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