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个观测点大气中SO_2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SO_2浓度进行了预测检验.
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.
出处
《环境科学学报》
CAS
CSSCI
CSCD
北大核心
1993年第4期482-490,共9页
Acta Scientiae Circumstantiae
基金
高等学校博士学科点专项科研基金资助项目
