Local scale air pollution forecasting by artificial intelligence techniques and assess the pollution-related social effects

Gong, Bing and Ordieres-Meré, Joaquín (2016). Local scale air pollution forecasting by artificial intelligence techniques and assess the pollution-related social effects. In: "Industriales Research Meeting 2016", 20 abril 2016, Escuela Técnica Superior Ingenieros Industriales - UPM - Madrid. ISBN 978-84-16397-31-0. p. 115.

Description

Title: Local scale air pollution forecasting by artificial intelligence techniques and assess the pollution-related social effects
Author/s:
  • Gong, Bing
  • Ordieres-Meré, Joaquín
Item Type: Presentation at Congress or Conference (Poster)
Event Title: Industriales Research Meeting 2016
Event Dates: 20 abril 2016
Event Location: Escuela Técnica Superior Ingenieros Industriales - UPM - Madrid
Title of Book: Industriales Research Meeting 2016
Date: 2016
ISBN: 978-84-16397-31-0
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Since the air pollution can cause serious health problem, the concerns about forecasting air pollution timely and accurately arise by researchers in order to alert the public avoiding high level pollution and help the government make decisions. In our research, we take Hong Kong (finished research) and the cities in Mexico (finishing) and Mainland China (starting), especially the high pollutant areas such as Mexico City and Beijing, as study cases. Meanwhile, various types of artificial intelligence techniques are employed to achieve the goals. Furthermore, we also extent our research from forecast pollution to assess the air pollution – related social effects, for example health impact and its economic loss, which are also the concerned by public and the governments.

More information

Item ID: 45849
DC Identifier: http://oa.upm.es/45849/
OAI Identifier: oai:oa.upm.es:45849
Official URL: http://www.industriales.upm.es/investigacion/irm16/index.es.htm
Deposited by: Memoria Investigacion
Deposited on: 11 May 2017 09:17
Last Modified: 23 Apr 2018 07:38
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