1) numerical prediction of urban air pollution
城市空气污染数值预报
1.
Based on analysis of elements of numerical prediction of urban air pollution,sources of pollution emission inventory,meteorology mesoscale numerical forecast model MM5 and ADMS-Urban model for urban air quality forecast system were established.
在分析城市空气污染数值预报要素的基础上,建立了包括污染源排放清单,气象中尺度数值预报模型MM5,ADMS-城市模型软件的城市空气质量预报系统。
2) city air quality numerical prediction system
城市空气质量数值预报系统
3) urban air pollution
城市空气污染
1.
Numerical model system of urban air pollution prediction and its application.;
城市空气污染数值预报模式系统及其应用
2.
By taking streets and towns as the basic spatial analysis unit,the concentrations of sulfur dioxide,ozone nitrogen dioxide and some factors influencing urban air pollutions in Hangzhou such as population density,percentage of road area,built-up area,su.
城市空气污染物浓度空间分布及受其他因素影响程度的定量分析可以为不同城市地域有针对性地制定合理的空气污染缓减对策提供科学依据。
3.
Urban air pollution affects human health and causes huge economic losses to the society.
特别是城市空气污染严重影响了人类的健康并给社会造成巨大的经济损失。
4) urban air pollution source
城市空气污染源
5) air pollution forecasting
空气污染预报
1.
With the development of society and economy and the population expansion of the city, air pollution becomes more and more serious, therefore, it is significant to study air pollution forecasting so as to understand environmental variation trend, prevent and control air pollution.
本论文将人工神经网络技术应用到空气污染预报领域中,借助神经网络的非线性处理能力和容噪能力,设计出基于人工神经网络空气污染预报方法,为环境管理决策提供及时、准确、全面的环境质量信息。
6) air pollution forecast
空气污染预报
1.
A design idea on establishing a kind of applicable air pollution forecast system is proposed according to the existing bases and conditions and objectives.
在空气污染影响因素及其与环境空气质量定性关系分析基础上,通过对环境空气质量变化特征及统计、数值两种预报模型方法的对比分析,结合实际应用的目的要求及现有基础条件,提出了立足于业务化应用的空气污染预报模型系统的总体构想,并进行了实例分析。
2.
Based on the Regional Atmospheric Modeling System and by means of Grid Nesting technique, a nested numerical forecasting model system, the City-scale Meteorology Model(C-βM) nested to the Regional-scale Meteorology Model(R-αM), has been developed, which can supply meteorology data for air pollution forecast.
基于区域大气模拟系统 ,采用网格嵌套方法 ,发展了由区域尺度气象模式 (R αM )和城市尺度气象模式 (C βM )组成的嵌套模式预报系统 ,为空气污染预报提供必需的气象要素场。
3.
By the analysis of air pollutants (SO 2,NOx,TSP) data measured by the air pollution monitoring system in last three years and the meteorological data collected by Qingdao Meteorological Station in the corresponding period, the method of air pollution forecast was investigated.
利用青岛市空气自动监测系统近三年监测资料与同期气象资料,对青岛市空气污染预报方法进行了研究,通过因子初选和相关性分析,针对不同季节和不同污染物,应用逐步回归法,分别建立了青岛市的大气污染预方程,经检验其准确率在70% 左右。
补充资料：空气质量
空气质量：我国空气质量采用空气污染指数进行评价。根据环境空气质量标准和各项污染物对人体健康、生态环境的影响来确定污染指数。我国目前采用的空气污染指数（API）分为五个等级，API值小于或等于50，说明空气质量为优，相当于国家空气质量一级标准；API值大于50且小于或等于100，表明空气质量良好，相当于达到国家质量二级标准；API值大于100且小于或等于200，表明空气质量为轻度污染，相当于国家空气质量三级标准；API值大于200表明空气质量差，称之为中度污染，为国家空气质量四级标准；API大于300表明空气质量极差，已严重污染，相当于国家空气质量五级标准。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条