The Air Contaminant Dispersion Prediction by the Integration of the Neural Network and AermodSystem-Reference-Cited by-同舟云学术

The Air Contaminant Dispersion Prediction by the Integration of the Neural Network and AermodSystem

Published:2018-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th ACM SIGSPATIAL International Workshop on Safety and Resilience
language:
Short-container-title:

Author:

Wang Rongxiao¹,Chen Bin¹,Wang Yiduo¹,Zhu Zhengqiu¹,Ma Liang¹,Qiu Xiaogang¹

Affiliation:

1. College of System Engineering, National University of Defense Technology, Changsha China

Funder

National Natural Science Foundation of China

National Key Research & Development (R&D) Plan

National Social Science Foundation of China

Guangdong Key Laboratory for Big Data Analysis and Simula-tion of Public Opinion

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3284103.3284114

Reference26 articles.

1. The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models;BING W.;Journal of Hazardous Materials,2015

2. BOZNAR M. LESJAK M. and MLAKAR P. 1993. A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain. Atmospheric Environment. Part B. Urban Atmosphere 27 2 (1993/06/01/) 221--230. BOZNAR M. LESJAK M. and MLAKAR P. 1993. A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain. Atmospheric Environment. Part B. Urban Atmosphere 27 2 (1993/06/01/) 221--230.

3. BRIGGS G.A. 1973. Diffusion estimation for small emissions. Preliminary report. Atmospheric Turbulence and Diffusion Laboratory; NOAA. BRIGGS G.A. 1973. Diffusion estimation for small emissions. Preliminary report. Atmospheric Turbulence and Diffusion Laboratory; NOAA.

4. Review of Lagrangian stochastic models for trajectories in the turbulent atmosphere

5. FENG X. LI Q. ZHU Y. HOU J. JIN L. and WANG J. 2015. Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation. Atmospheric Environment 107(2015/04/01/) 118--128. FENG X. LI Q. ZHU Y. HOU J. JIN L. and WANG J. 2015. Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation. Atmospheric Environment 107(2015/04/01/) 118--128.