Urban air pollution estimation using unscented Kalman filtered inverse modeling with scaled monitoring data-Reference-Cited by-同舟云学术

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Urban air pollution estimation using unscented Kalman filtered inverse modeling with scaled monitoring data

Published:2020-03 Issue: Volume:54 Page:101970
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Metia S.,Ha Q.P.,Duc H.N.,Scorgie Y.

Funder

University of Technology Sydney

Office of Environment and Heritage of NSW

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference33 articles.

1. Impact of WRF model PBL schemes on air quality simulations over Catalonia, Spain;Banks;Science of The Total Environment,2016

2. From errors to probability density functions. Evolution of the concept of measurement uncertainty;Bich;IEEE Transactions on Instrumentation and Measurement,2012

3. A novel a priori state computation strategy for the unscented Kalman filter to improve computational efficiency;Biswas;IEEE Transactions on Automatic Control,2017

4. Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign;Bray;Atmospheric Environment,2017

5. A new statistical modeling and optimization framework for establishing high-resolution PM10 emission inventory – I. Stepwise regression model development and application;Cheng;Atmospheric Environment,2012

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2. Improvement and optimization of coal dust concentration detection technology: Based on the 3σ criterion and the kalman filtering composite algorithm;Flow Measurement and Instrumentation;2024-07

3. Improvement in Near Surface NWP Model Output using Kalman Filtering Technique: A Case Study for Trombay Site;Annals of Geophysics;2023-10-27

4. Spatial-temporal evaluation of PM2.5 concentration for health risk reduction strategy development in a basin with different weather patterns;Atmospheric Pollution Research;2023-10

5. Real-world and bottom-up methodology for emission inventory development and scenario design in medium-sized cities;Journal of Environmental Sciences;2023-05

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