Application of nonlinear land use regression models for ambient air pollutants and air quality index
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of nonlinear land use regression models for ambient air pollutants and air quality index
Authors
Keywords
Air pollutant, Air quality index, Land use regression model, Generalized additive model, Generalized linear model, Meteorology
Journal
Atmospheric Pollution Research
Volume 12, Issue 10, Pages 101186
Publisher
Elsevier BV
Online
2021-08-31
DOI
10.1016/j.apr.2021.101186
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Assessment of the spatio-temporal pattern of PM2.5 and its driving factors using a land use regression model in Beijing, China
- (2020) Lingqiang Kong et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Spatiotemporal variations and influencing factors of PM2.5 concentrations in Beijing, China
- (2020) Licheng Zhang et al. ENVIRONMENTAL POLLUTION
- Modeling the nexus between pollutant emission, energy consumption, foreign direct investment, and economic growth: new insights from China
- (2020) Edmund Ntom Udemba et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States
- (2020) Xiang Ren et al. ENVIRONMENT INTERNATIONAL
- Performance of Prediction Algorithms for Modeling Outdoor Air Pollution Spatial Surfaces
- (2019) Jules Kerckhoffs et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Spatial-Temporal Evolution of PM2.5 Concentration and its Socioeconomic Influence Factors in Chinese Cities in 2014–2017
- (2019) Yazhu Wang et al. International Journal of Environmental Research and Public Health
- Urban vegetation and particle air pollution: Experimental campaigns in a traffic hotspot
- (2019) F.J. Gómez-Moreno et al. ENVIRONMENTAL POLLUTION
- Impact of air pollution on hospital admissions with a focus on respiratory diseases: a time-series multi-city analysis
- (2019) Alessandro Slama et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- A site-optimised multi-scale GIS based land use regression model for simulating local scale patterns in air pollution
- (2019) Xuying Ma et al. SCIENCE OF THE TOTAL ENVIRONMENT
- New Energy Development and Pollution Emissions in China
- (2019) Ying Li et al. International Journal of Environmental Research and Public Health
- Estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression model
- (2019) Mohammad Miri et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- A land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China
- (2019) Lan Jin et al. ENVIRONMENTAL RESEARCH
- Ambient Particulate Air Pollution and Blood Pressure in Peri-urban India
- (2019) Ariadna Curto et al. EPIDEMIOLOGY
- Hybrid land use regression modeling for estimating spatio-temporal exposures to PM2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources
- (2019) Sheila Tripathy et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Association of School Residential PM2.5 with Childhood High Blood Pressure: Results from an Observational Study in 6 Cities in China
- (2019) Xijie Wang et al. International Journal of Environmental Research and Public Health
- Benefits of High Resolution PM2.5 Prediction using Satellite MAIAC AOD and Land Use Regression for Exposure Assessment: California Examples
- (2019) Hyung Joo Lee ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Effect of O3, PM10 and PM2.5 on cardiovascular and respiratory diseases in cities of France, Iran and Italy
- (2019) Pierre Sicard et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Green space, air pollution, traffic noise and cardiometabolic health in adolescents: The PIAMA birth cohort
- (2019) Lizan D. Bloemsma et al. ENVIRONMENT INTERNATIONAL
- Land use regression for spatial distribution of urban particulate matter (PM10) and sulfur dioxide (SO2) in a heavily polluted city in Northeast China
- (2019) Hehua Zhang et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Gaseous and particulate pollutants in Lhasa, Tibet during 2013–2017: Spatial variability, temporal variations and implications
- (2019) Xiufeng Yin et al. ENVIRONMENTAL POLLUTION
- Short-term effects of ambient particulate matter on blood pressure among children and adolescents:A cross-sectional study in a city of Yangtze River delta, China
- (2019) Hai-bing Yang et al. CHEMOSPHERE
- New insights into the spatial distribution of particle number concentrations by applying non-parametric land use regression modelling
- (2019) Md Mahmudur Rahman et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A hybrid kriging/land-use regression model with Asian culture-specific sources to assess NO2 spatial-temporal variations
- (2019) Tsun-Hsuan Chen et al. ENVIRONMENTAL POLLUTION
- Global Association of Air Pollution and Cardiorespiratory Diseases: A Systematic Review, Meta-Analysis, and Investigation of Modifier Variables
- (2018) Weeberb J. Requia et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- The value of using seasonality and meteorological variables to model intra-urban PM 2.5 variation
- (2018) Hector A. Olvera Alvarez et al. ATMOSPHERIC ENVIRONMENT
- Spatiotemporal modeling of PM 2.5 concentrations at the national scale combining land use regression and Bayesian maximum entropy in China
- (2018) Li Chen et al. ENVIRONMENT INTERNATIONAL
- A land use regression variable generation, modelling and prediction tool for air pollution exposure assessment
- (2018) David W. Morley et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment
- (2018) Joris Van den Bossche et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Development of European NO 2 Land Use Regression Model for present and future exposure assessment: Implications for policy analysis
- (2018) Pilar Vizcaino et al. ENVIRONMENTAL POLLUTION
- Short-term effects of various ozone metrics on cardiopulmonary function in chronic obstructive pulmonary disease patients: Results from a panel study in Beijing, China
- (2018) Hongyu Li et al. ENVIRONMENTAL POLLUTION
- Spatial variability of on-bicycle black carbon concentrations in the megacity of São Paulo: A pilot study
- (2018) Admir Créso Targino et al. ENVIRONMENTAL POLLUTION
- Hourly land-use regression models based on low-cost PM monitor data
- (2018) Mauro Masiol et al. ENVIRONMENTAL RESEARCH
- Spatiotemporal land use random forest model for estimating metropolitan NO 2 exposure in Japan
- (2018) Shin Araki et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa
- (2018) Sheena Muttoo et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Land Use Regression Modelling of Outdoor NO2 and PM2.5 Concentrations in Three Low Income Areas in the Western Cape Province, South Africa
- (2018) Apolline Saucy et al. International Journal of Environmental Research and Public Health
- Long-term exposure to low concentrations of air pollutants and hospitalisation for respiratory diseases: A prospective cohort study in Australia
- (2018) Farhad Salimi et al. ENVIRONMENT INTERNATIONAL
- A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability
- (2018) Chih-Da Wu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Changing places to study short-term effects of air pollution on cardiovascular health: a panel study
- (2018) Hans Scheers et al. Environmental Health
- Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
- (2018) Jeffrey D Stanaway et al. LANCET
- National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging
- (2018) Hao Xu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Air pollution and hospital admissions for cardiovascular diseases in Ahvaz, Iran
- (2018) Maryam Dastoorpoor et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial characteristics and determinants of in-traffic black carbon in Shanghai, China: Combination of mobile monitoring and land use regression model
- (2018) Min Liu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Development of land use regression models for PM 2.5 , SO 2 , NO 2 and O 3 in Nanjing, China
- (2017) Lei Huang et al. ENVIRONMENTAL RESEARCH
- Land use regression modelling of air pollution in high density high rise cities: A case study in Hong Kong
- (2017) Martha Lee et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Air pollutant emission from the underestimated households' coal consumption source in China
- (2017) Miaomiao Cheng et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Combining land use regression models and fixed site monitoring to reconstruct spatiotemporal variability of NO 2 concentrations over a wide geographical area
- (2017) M. Cordioli et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Impact of Land Use on PM2.5 Pollution in a Representative City of Middle China
- (2017) Haiou Yang et al. International Journal of Environmental Research and Public Health
- A land use regression model for ambient ultrafine particles in Montreal, Canada: A comparison of linear regression and a machine learning approach
- (2016) Scott Weichenthal et al. ENVIRONMENTAL RESEARCH
- Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States
- (2016) Hyung Joo Lee et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Association of long-term exposure to local industry- and traffic-specific particulate matter with arterial blood pressure and incident hypertension
- (2016) Kateryna B. Fuks et al. INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH
- The association of annual air pollution exposure with blood pressure among patients with sleep-disordered breathing
- (2016) Wen-Te Liu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) concentrations in City of Shanghai, China
- (2016) Chao Liu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations – The FireHub platform
- (2015) S. Solomos et al. ATMOSPHERIC ENVIRONMENT
- The application of semicircular-buffer-based land use regression models incorporating wind direction in predicting quarterly NO 2 and PM 10 concentrations
- (2015) Xiaodong Li et al. ATMOSPHERIC ENVIRONMENT
- Spatiotemporal Prediction of Fine Particulate Matter During the 2008 Northern California Wildfires Using Machine Learning
- (2015) Colleen E. Reid et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Performance comparison of LUR and OK in PM2.5 concentration mapping: a multidimensional perspective
- (2015) Bin Zou et al. Scientific Reports
- Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies
- (2014) Kees de Hoogh et al. ENVIRONMENT INTERNATIONAL
- Spatiotemporal Modeling of Ozone Levels in Quebec (Canada): A Comparison of Kriging, Land-Use Regression (LUR), and Combined Bayesian Maximum Entropy–LUR Approaches
- (2014) Ariane Adam-Poupart et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Association between Source-Specific Particulate Matter Air Pollution and hs-CRP: Local Traffic and Industrial Emissions
- (2014) Frauke Hennig et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- A national satellite-based land-use regression model for air pollution exposure assessment in Australia
- (2014) Luke D. Knibbs et al. ENVIRONMENTAL RESEARCH
- Land use regression models as a tool for short, medium and long term exposure to traffic related air pollution
- (2014) Evi Dons et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population
- (2014) Jui-Huan Lee et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology
- (2013) Paul D. Sampson et al. ATMOSPHERIC ENVIRONMENT
- Air pollution exposure assessment methods utilized in epidemiological studies
- (2009) Bin Zou et al. JOURNAL OF ENVIRONMENTAL MONITORING
- A review of land-use regression models to assess spatial variation of outdoor air pollution
- (2008) Gerard Hoek et al. ATMOSPHERIC ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now