Nonlinear relationship between urban form and street-level PM2.5 and CO based on mobile measurements and gradient boosting decision tree models

Assessing neighborhood variations in ozone and PM2.5 concentrations using decision tree method

(2020) Ya Gao et al.   BUILDING AND ENVIRONMENT

Satellite-based ground PM2.5 estimation using a gradient boosting decision tree

(2020) Tianning Zhang et al.   CHEMOSPHERE

Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing

(2020) Jun Song et al.   IEEE Internet of Things Journal

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea

(2019) Chris C. Lim et al.   ENVIRONMENT INTERNATIONAL

Spatial-temporal heterogeneity of air pollution: The relationship between built environment and on-road PM2.5 at micro scale

(2019) Suhong Zhou et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Identifying critical building morphological design factors of street-level air pollution dispersion in high-density built environment using mobile monitoring

(2018) Yuan Shi et al.   BUILDING AND ENVIRONMENT

Investigating the relationship between air pollution variation and urban form

(2018) Chao Li et al.   BUILDING AND ENVIRONMENT

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

Assessing neighborhood air pollution exposure and its relationship with the urban form

(2018) Ya Gao et al.   BUILDING AND ENVIRONMENT

Capturing the sensitivity of land-use regression models to short-term mobile monitoring campaigns using air pollution micro-sensors

(2017) L. Minet et al.   ENVIRONMENTAL POLLUTION

Incorporating wind availability into land use regression modelling of air quality in mountainous high-density urban environment

(2017) Yuan Shi et al.   ENVIRONMENTAL RESEARCH

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

Developing Street-Level PM2.5 and PM10 Land Use Regression Models in High-Density Hong Kong with Urban Morphological Factors

(2016) Yuan Shi et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

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

Investigation into relationships among NO, NO2, NOx, O3, and CO at an urban background site in Delhi, India

(2015) Suresh Tiwari et al.   ATMOSPHERIC RESEARCH

Land Use Regression Models of On-Road Particulate Air Pollution (Particle Number, Black Carbon, PM2.5, Particle Size) Using Mobile Monitoring

(2015) Steve Hankey et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Hybrid Model for Prediction of Carbon Monoxide and Fine Particulate Matter Concentrations near a Road Intersection

(2015) Zhanyong Wang et al.   TRANSPORTATION RESEARCH RECORD

Air quality prediction using optimal neural networks with stochastic variables

(2013) Ana Russo et al.   ATMOSPHERIC ENVIRONMENT

Systematic influence of different building spacing, height and layout on mean wind and turbulent characteristics within and over urban building arrays

(2013) Dehai Jiang et al.   WIND AND STRUCTURES

The influence of building height variability on pollutant dispersion and pedestrian ventilation in idealized high-rise urban areas

(2012) Jian Hang et al.   BUILDING AND ENVIRONMENT

Carbon monoxide exposure in the urban environment: An insidious foe for the heart?

(2012) C. Reboul et al.   RESPIRATORY PHYSIOLOGY & NEUROBIOLOGY

Sky view factor analysis of street canyons and its implications for daytime intra-urban air temperature differentials in high-rise, high-density urban areas of Hong Kong: a GIS-based simulation approach

(2010) Liang Chen et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

A Study of the Urban Boundary Layer Using Different Urban Parameterizations and High-Resolution Urban Canopy Parameters with WRF

(2010) Francisco Salamanca et al.   Journal of Applied Meteorology and Climatology

Urban morphology and air quality in dense residential environments in Hong Kong. Part I: District-level analysis

(2009) P. Edussuriya et al.   ATMOSPHERIC ENVIRONMENT

Impact of street design on urban microclimate for semi arid climate (Constantine)

(2009) F. Bourbia et al.   RENEWABLE ENERGY

A review of land-use regression models to assess spatial variation of outdoor air pollution

(2008) Gerard Hoek et al.   ATMOSPHERIC ENVIRONMENT

Detection of ventilation paths using high-resolution roughness parameter mapping in a large urban area

(2008) T. Gál et al.   BUILDING AND ENVIRONMENT

Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants

(2008) Jane E Clougherty et al.   Environmental Health

Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate

(2008) T. Gál et al.   THEORETICAL AND APPLIED CLIMATOLOGY