Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0)
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK, Using Hierarchical Directed Graphs (V1.0.0)
Authors
Keywords
-
Journal
Sustainability
Volume 13, Issue 4, Pages 2201
Publisher
MDPI AG
Online
2021-02-19
DOI
10.3390/su13042201
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of Six Machine Learning Methods for Estimating PM2.5 Concentration Using the Himawari-8 Aerosol Optical Depth
- (2020) Xin Zuo et al. Journal of the Indian Society of Remote Sensing
- Resilience or robustness: identifying topological vulnerabilities in rail networks
- (2019) Alessio Pagani et al. Royal Society Open Science
- Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations
- (2018) Peer Johannes Nowack et al. Environmental Research Letters
- Short period PM2.5 prediction based on multivariate linear regression model
- (2018) Rui Zhao et al. PLoS One
- A study of wake potentials for the pick-ups in storage ring
- (2017) M. Shafiee et al. Journal of Instrumentation
- Experimental performance evaluation of ILSF BPM data acquisition system
- (2017) M. Shafiee et al. MEASUREMENT
- Numerical analysis of the beam position monitor pickup for the Iranian light source facility
- (2017) M. Shafiee et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model
- (2017) J. Eric Nielsen et al. Journal of Advances in Modeling Earth Systems
- Quantifying the causes of differences in tropospheric OH within global models
- (2017) Julie M. Nicely et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Mortality and emergency hospitalizations associated with atmospheric particulate matter episodes across the UK in spring 2014
- (2016) Helen L. Macintyre et al. ENVIRONMENT INTERNATIONAL
- Analysis of de-noising methods to improve the precision of the ILSF BPM electronic readout system
- (2016) M. Shafiee et al. Journal of Instrumentation
- Implementing Spectral Decomposition of Time Series Data in Artificial Neural Networks to Predict Air Pollutant Concentrations
- (2015) Nima Kamali et al. ENVIRONMENTAL ENGINEERING SCIENCE
- Trophic coherence determines food-web stability
- (2014) Samuel Johnson et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
- (2012) Stephen S Lim et al. LANCET
- Processes affecting concentrations of fine particulate matter (PM2.5) in the UK atmosphere
- (2011) Roy M. Harrison et al. ATMOSPHERIC ENVIRONMENT
- Geostatistical Assessment of the Impact of World War I on the Spatial Occurrence of Soil Heavy Metals
- (2010) Eef Meerschman et al. AMBIO
- Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application
- (2010) Aaron van Donkelaar et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Ozone ensemble forecast with machine learning algorithms
- (2009) Vivien Mallet et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Regional Integrated Experiments on Air Quality over Pearl River Delta 2004 (PRIDE-PRD2004): Overview
- (2008) Y.H. Zhang et al. ATMOSPHERIC ENVIRONMENT
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started