Cargando…
Three-Dimensional Landscape Pattern Characteristics of Land Function Zones and Their Influence on PM(2.5) Based on LUR Model in the Central Urban Area of Nanchang City, China
China’s rapid urbanization and industrialization process has triggered serious air pollution. As a main air pollutant, PM(2.5) is affected not only by meteorological conditions, but also by land use in urban area. The impacts of urban landscape on PM(2.5) become more complicated from a three-dimensi...
Autores principales: | Chen, Wenbo, Zhang, Fuqing, Luo, Saiwei, Lu, Taojie, Zheng, Jiao, He, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517176/ https://www.ncbi.nlm.nih.gov/pubmed/36141965 http://dx.doi.org/10.3390/ijerph191811696 |
Ejemplares similares
-
An LUR/BME
Framework to Estimate PM(2.5) Explained
by on Road Mobile and Stationary
Sources
por: Reyes, Jeanette M., et al.
Publicado: (2014) -
Performance comparison of LUR and OK in PM(2.5) concentration mapping: a multidimensional perspective
por: Zou, Bin, et al.
Publicado: (2015) -
The Spatio-Temporal Patterns and Driving Forces of Land Use in the Context of Urbanization in China: Evidence from Nanchang City
por: Liu, Yuxi, et al.
Publicado: (2023) -
Spatiotemporal Modeling of Ozone Levels in Quebec (Canada): A Comparison of Kriging, Land-Use Regression (LUR), and Combined Bayesian Maximum Entropy–LUR Approaches
por: Adam-Poupart, Ariane, et al.
Publicado: (2014) -
Spatio-Temporal Characteristics of PM(2.5) Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016–2021
por: Dai, Hongbin, et al.
Publicado: (2022)