大气科学2016，Vol.40Issue(4)：719-729,11.DOI:10.3878/j.issn.1006-9895.1505.15113
一个基于打靶法的大气污染源反演自适应算法
Development of an Adaptive Algorithm Based on the Shooting Method and Its Application in the Problem of Estimating Air Pollutant Emissions
摘要
Abstract
AbstractThe inversion of pollutant emissions is important in air pollution prediction and control. The statistical methods generally adopted possess weaknesses, such as sensitivity for observation error and prior estimation of emissions. Given their simplicity, high precision, and practicality, algorithms based on the shooting method are widely used in the field of systems control. In this paper, we derive a shooting method–based adaptive algorithm to estimate air pollutant emissions. Besides its high precision and simple procedure, this adaptive algorithm compensates for the weaknesses of statistical methods. It is able to deal with the large level of error in the emissions inventory, initial conditions, and observations; a prior distribution assumption and error estimation are not required. Simulations of a simple system are presented to illustrate the effectiveness of this adaptive algorithm.关键词
打靶法/污染源/反演/自适应/系统控制Key words
Shooting method/Pollutant emissions/Inversion/Adaptive algorithm/Systems control分类
环境科学引用本文复制引用
冯帆,王自发,唐晓..一个基于打靶法的大气污染源反演自适应算法[J].大气科学,2016,40(4):719-729,11.基金项目
中国科学院战略性先导灰霾专项XDB05030200@@@@Funded byStrategic Priority Research Program (B) of the Chinese Academy of Sciences(Grant XDB05030200) （B）
