scholarly journals CITY OF CHICAGO AIR POLLUTION SYSTEM MODEL. Quarterly Progress Report No. 3.

1968 ◽  
Author(s):  
E.J. Croke ◽  
J.E. Carson ◽  
D.F. Gatz
Keyword(s):  
Air Pollution ◽  
Progress Report ◽  
System Model

scholarly journals City of Chicago Air Pollution System Model. First Quarterly Progress Report. February 1968

1968 ◽  
Author(s):  
E. Croke ◽  
J. Carson ◽  
F. Clark ◽  
A. Kennedy ◽  
J. Roberts
Keyword(s):  
Air Pollution ◽  
Progress Report ◽  
System Model

scholarly journals CITY OF CHICAGO AIR POLLUTION SYSTEM MODEL. Second Quarterly Progress Report, May 1968.

1968 ◽  
Author(s):  
E J Croke ◽  
J E Carson ◽  
D F Gatz ◽  
H Moses ◽  
F L Clark ◽  
...  
Keyword(s):  
Air Pollution ◽  
Progress Report ◽  
System Model ◽  
May 1968

Research on air pollution system based on neural network

2020 ◽  
pp. 1-11
Author(s):  
Zhiqi Jiang ◽  
Xidong Wang
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Image Features ◽  
Air Pollutant ◽  
Pollution Monitoring ◽  
System Model ◽  
Process Data ◽  
Deep Convolutional Neural Networks ◽  
Air Pollution Monitoring ◽  
Neural Network Algorithm

This paper conducts in-depth research and analysis on the commonly used models in the simulation process of air pollutant diffusion. Combining with the actual needs of air pollution, this paper builds an air pollution system model based on neural network based on neural network algorithm, and proposes an image classification method based on deep learning and Gaussian aggregation coding. Moreover, this paper proposes a Gaussian aggregation coding layer to encode image features extracted by deep convolutional neural networks. Learn a fixed-size dictionary to represent the features of the image for final classification. In addition, this paper constructs an air pollution monitoring system based on the actual needs of the air system. Finally, this article designs a controlled experiment to verify the model proposed in this article, uses mathematical statistics to process data, and scientifically analyze the statistical results. The research results show that the model constructed in this paper has a certain effect.

Effects of air pollution control on climate: results from an integrated global system model

2011 ◽  
pp. 93-102 ◽  
Author(s):  
Ronald Prinn ◽  
John M. Reilly ◽  
Marcus Sarofim ◽  
Chien Wang ◽  
Benjamin Felzer
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
System Model ◽  
Air Pollution Control ◽  
Global System

Progress Report on Air Pollution

1958 ◽  
Vol 73 (1) ◽  
pp. 39 ◽  
Author(s):  
Vernon G. MacKenzie
Keyword(s):  
Air Pollution ◽  
Progress Report
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