Air quality
; Air quality standards
; Cardiology
; Diseases
; Economics
; Emergency rooms
; Health
; Hospitals
; Population statistics
; Public health
; Pulmonary diseases
; Regression analysis
; Statistical methods
; BenMAP
; Cardio-vascular disease
; Emergency departments
; Health benefits
; High spatial resolution
; Land use regression
; Leave-one-out cross-validation (LOOCV)
; Tianjin
; Land use
; air quality
; cardiovascular disease
; concentration (composition)
; confidence interval
; estimation method
; health impact
; land use change
; morbidity
; mortality
; particulate matter
; population density
; public health
; regression analysis
; respiratory disease
; software
; spatial resolution
; air quality
; Article
; cardiovascular disease
; China
; emergency ward
; health impact assessment
; human
; ICD-10
; industrial area
; land use
; land use regression
; morbidity
; mortality
; particulate matter
; population density
; priority journal
; public health
; respiratory tract disease
; surface property
; China
; Tianjin
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
College of Urban and Environmental Science, Tianjin Normal University, Tianjin, China; Chinese Research Academy of Environmental Sciences, Beijing, China
Recommended Citation:
Chen L,, Shi M,, Li S,et al. Combined use of land use regression and BenMAP for estimating public health benefits of reducing PM2.5 in Tianjin, China[J]. Atmospheric Environment,2017-01-01,152