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城市大气污染物浓度预测模糊识别理论与模型
引用本文:熊德琪,陈守煜.城市大气污染物浓度预测模糊识别理论与模型[J].环境科学学报,1993,13(4):482-490.
作者姓名:熊德琪  陈守煜
作者单位:大连理工大学土木工程系 116024 (熊德琪),大连理工大学土木工程系 116024(陈守煜)
基金项目:高等学校博士学科点专项科研基金资助项目
摘    要:根据大气污染物的浓度具有模糊性且与多种指标相关的特点,提出对其进行预测的模糊识别理论与模型,并以二氧化硫为例,由25个预测点大气中SO2浓度和相关指标的实测资料,利用上述理论与模型得出最优模糊预测参数,并对其它5个观测点的SO2浓度进行了预测检验。

关 键 词:预测  模糊识别  空气污染  污染物
收稿时间:1992/1/29 0:00:00

FUZZY RECOGNITION THEORY AND MODELS FOR FORECASTING THE CONCENTRATION OF AIR POLLUTANT IN CITY
Xiong Deqi and Chen Shouyu.FUZZY RECOGNITION THEORY AND MODELS FOR FORECASTING THE CONCENTRATION OF AIR POLLUTANT IN CITY[J].Acta Scientiae Circumstantiae,1993,13(4):482-490.
Authors:Xiong Deqi and Chen Shouyu
Affiliation:Depatment of civil Engineering, Dalian University of Technology, 116024 and Depatment of civil Engineering, Dalian University of Technology, 116024
Abstract:Based on fuzzy characteristics of air pollutants and their correlation with various indices, the fuzzy recognition theory and models were proposed for forecasting the concentration of the air pollutant. Based on the models and recorded data, the optimal forecast parameters were able to be obtained. The theory and the models were applied to forecast the concentrations of SO2 in a city, the results are satisfactory.
Keywords:Air Pollution  Forecast  Fuzzy recognition    
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