Article
Environmental Sciences
Hasheel Tularam, Lisa F. Ramsay, Sheena Muttoo, Bert Brunekreef, Kees Meliefste, Kees de Hoogh, Rajen N. Naidoo
Summary: The aim of this study was to incorporate information from atmospheric dispersion models into the land use regression technique to predict air pollutant concentrations in Durban, South Africa. Industrial sources, ship emissions, domestic fuel burning, and vehicle emissions were identified as key emission sources, while different regions showed varying levels of air pollutant concentrations.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Xiangping Liu, Zhen Zhang, Mingxin Li, Yanhua Fu, Yu Hui
Summary: The evolution of land-use spatial conflict is a common phenomenon in urbanization and reflects regional development comprehensively. This study focuses on Tianjin and investigates the spatial conflicts in land use through landscape pattern analysis and ecological risk assessment. The results show a close relationship between land use spatial conflict and land-use change, with areas of severe change often experiencing noticeable conflict changes.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Environmental Sciences
Weiyi Wang, Daniela Fecht, Sean Beevers, John Gulliver
Summary: A model was developed to predict daily average concentrations of air pollutants in Great Britain. The model, which incorporates both spatial and temporal variability, utilizes data from monitoring sites, a chemical transport model, and meteorological characteristics. The model performed well in explaining the variability in measured concentrations and can generate daily air pollution maps for epidemiological studies and predictions for specific locations and exposure periods.
ATMOSPHERIC POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Andrew Larkin, Susan Anenberg, Daniel L. Goldberg, Arash Mohegh, Michael Brauer, Perry Hystad
Summary: The World Health Organization (WHO) revised its guidelines for NO2 air pollution, setting stricter limits on the annual and 24-hour mean NO2 levels. Current models are inadequate in capturing the spatiotemporal variations of NO2, but a Land use regression (LUR) model incorporating various predictors has shown potential in addressing this issue.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Engineering, Environmental
T. Nash Skipper, Yongtao Hu, M. Talat Odman, Barron H. Henderson, Christian Hogrefe, Rohit Mathur, Armistead G. Russell
Summary: This study focuses on the fusion of observed O-3 with simulated US-B O-3, and adjustments for model bias, revealing that CTM US-B O-3 estimates are typically low in spring and high in fall.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Li Chen, Shuang Liang, Xiaoli Li, Jian Mao, Shuang Gao, Hui Zhang, Yanling Sun, Sverre Vedal, Zhipeng Bai, Zhenxing Ma, Haiyu, Merched Azzi
Summary: By integrating land use regression with Bayesian maximum entropy and incorporating national area variability LUR model and incomplete O-3 monitoring data, a hybrid LUR/BME model was developed for accurate predictions of O3 concentrations in mainland China with high spatio-temporal resolution.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Jiawei Wang, He Xu
Summary: The study proposes a hybrid spatiotemporal LUR model system combining support vector regression, multiple linear regression, and a special spatiotemporal algorithm to improve the accuracy of predicting pollutant concentration surfaces and reduce misclassification errors in epidemiological studies.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Biology
Khalid Guma Biro Turk, Abdulrahman O. O. Alghannam, Faisal Ibrahim Zeineldin
Summary: This study was conducted in the Al-Ahsa district in Eastern Saudi Arabia to measure carbon dioxide (CO2) concentration over different land-use types. The results showed that urban land had the highest CO2 concentration, while cropland and bare land had lower CO2 concentrations.
OPEN LIFE SCIENCES
(2022)
Article
Environmental Sciences
Igor Cobelo, Francisco Jablinski Castelhano, Rafael Borge, Henrique L. Roig, Matthew Adams, Heresh Amini, Petros Koutrakis, Weeberb J. Requia
Summary: Forest fires in Brazil have caused significant air pollution and health risks, with the impact varying depending on land use and vegetation cover. Between 2003 and 2018, wildfires increased air pollution levels and posed a significant health hazard. The highest impact was observed in soybean and sugarcane areas, resulting in excess deaths.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Haoran Zhai, Jiaqi Yao, Guanghui Wang, Xinming Tang
Summary: This manuscript analyzes the relationships between particulate matter concentration and land use changes in the Beijing-Tianjin-Hebei region of China. The experimental results indicate that an improved sine function model better fits the periodic changes in particulate matter concentration. Construction land and farmland have high particulate matter concentrations with significant seasonal differences. The landscape pattern of land use also significantly influences particulate matter concentration.
Article
Engineering, Environmental
Yue Li, Tageui Hong, Yefu Gu, Zhiyuan Li, Tao Huang, Harry Fung Lee, Yeonsook Heo, Steve H. L. Yim
Summary: This study integrates machine learning into land-use regression modeling to develop high spatiotemporal resolution prediction models for air pollution in Seoul, South Korea. Meteorological conditions and land-use factors are found to be influential in daily and diurnal models, respectively. The research reveals that the combined effects of PM2.5 and NO2 pollution causes a significant number of premature deaths in Seoul, mainly attributed to cardiovascular diseases.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Jan Bitta, Vladislav Svozilik, Aneta Svozilikova Krakovska
Summary: The Land Use Regression (LUR) model was applied in the Tritia region of Poland-Czech-Slovakia, showing similar results for emission data and pollution dispersion model results in standard linear regression, but significantly higher quality models when using neural network regression.
Article
Environmental Sciences
Peng Wu, Yongze Song
Summary: This study developed a land use quantile regression (LUQR) model for more accurate spatial predictions of small data samples. Compared with LUR models, LUQR models showed significant improvements in goodness-of-fit, prediction root mean squared error, and mean absolute error.
Article
Multidisciplinary Sciences
Siqi Ma, Daniel Q. Tong
Summary: This study presents a groundbreaking effort to map anthropogenic emissions of air pollutants in the contiguous United States at a spatial resolution of 1 km. The dataset, known as Neighborhood Emission Mapping Operation (NEMO), provides hourly emissions based on the United States Environmental Protection Agency National Emission Inventories 2017. This dataset allows for fine-scale air quality modeling, air pollution exposure assessment, and environmental justice studies.
Article
Green & Sustainable Science & Technology
Saimar Pervez, Ryuta Maruyama, Ayesha Riaz, Satoshi Nakai
Summary: The study aimed to develop a land use regression (LUR) model to better understand air exposure and depict the spatial patterns of air pollutants in Lahore, Pakistan. The results of this study will also aid in promoting epidemiological research in the future.
Article
Meteorology & Atmospheric Sciences
Shaofei Kong, Xuxu Li, Qi Li, Yan Yin, Li Li, Kui Chen, Dantong Liu, Liang Yuan, Xiaobing Pang
ATMOSPHERIC RESEARCH
(2015)
Article
Environmental Sciences
Jianwu Shi, Hao Deng, Zhipeng Bai, Shaofei Kong, Xiuyan Wang, Jiming Hao, Xinyu Han, Ping Ning
SCIENCE OF THE TOTAL ENVIRONMENT
(2015)
Article
Environmental Sciences
Shaofei Kong, Xuxu Li, Li Li, Yan Yin, Kui Chen, Liang Yuan, Yingjie Zhang, Yunpeng Shan, Yaqin Ji
SCIENCE OF THE TOTAL ENVIRONMENT
(2015)
Article
Meteorology & Atmospheric Sciences
Xuxu Li, Shaofei Kong, Yan Yin, Li Li, Liang Yuan, Qi Li, Hui Xiao, Kui Chen
ATMOSPHERIC RESEARCH
(2016)
Article
Environmental Sciences
Wenchao Shen, Lili Ren, Yi Zhao, Luyu Zhou, Liang Dai, Xinlei Ge, Shaofei Kong, Qin Yan, Honghui Xu, Yujun Jiang, Jun He, Mindong Chen, Huan Yu
ENVIRONMENTAL POLLUTION
(2017)
Article
Environmental Sciences
Yiding Ma, Zongshuang Wang, Yufei Tan, Shu Xu, Shaofei Kong, Gang Wu, Xuefang Wu, Hong Li
JOURNAL OF ENVIRONMENTAL SCIENCES
(2017)
Article
Geosciences, Multidisciplinary
Dantong Liu, James Whitehead, M. Rami Alfarra, Ernesto Reyes-Villegas, Dominick V. Spracklen, Carly L. Reddington, Shaofei Kong, Paul I. Williams, Yu-Chieh Ting, Sophie Haslett, Jonathan W. Taylor, Michael J. Flynn, William T. Morgan, Gordon McFiggans, Hugh Coe, James D. Allan
Article
Environmental Sciences
Xiaoru Zhang, Yan Yin, Zhenyi Lin, Yongxiang Han, Jian Hao, Liang Yuan, Kui Chen, Jinghua Chen, Shaofei Kong, Yunpeng Shan, Hui Xiao, Wen Tan
SCIENCE OF THE TOTAL ENVIRONMENT
(2017)
Article
Chemistry, Multidisciplinary
Lipeng Dong, Zhe Huang, Jujun Ruan, Jie Zhu, Jiaxing Huang, Mingzhi Huang, Shaofei Kong, Tao Zhang
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2017)
Article
Meteorology & Atmospheric Sciences
Liang Dai, Honglei Wang, Luyu Zhou, Junlin An, Lili Tang, Chunsong Lu, Wenlian Yan, Ruiyang Liu, Shaofei Kong, Mindong Chen, Shanhu Lee, Huan Yu
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2017)
Article
Environmental Sciences
Shaofei Kong, Qin Yan, Huang Zheng, Haibiao Liu, Wei Wang, Shurui Zheng, Guowei Yang, Mingming Zheng, Jian Wu, Shihua Qi, Guofeng Shen, Lili Tang, Yan Yin, Tianliang Zhao, Huan Yu, Dantong Liu, Delong Zhao, Tao Zhang, Jujun Ruan, Mingzhi Huang
ENVIRONMENT INTERNATIONAL
(2018)
Article
Multidisciplinary Sciences
Lei Liu, Shaofei Kong, Yinxiao Zhang, Yuanyuan Wang, Liang Xu, Qin Yan, A. P. Lingaswamy, Zongbo Shi, Senlin Lv, Hongya Niu, Longyi Shao, Min Hu, Daizhou Zhang, Jianmin Chen, Xiaoye Zhang, Weijun Li
SCIENTIFIC REPORTS
(2017)
Article
Environmental Sciences
Huang Zheng, Shaofei Kong, Xinli Xing, Yao Mao, Tianpeng Hu, Yang Ding, Gang Li, Dantong Liu, Shuanglin Li, Shihua Qi
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2018)
Article
Environmental Sciences
Lei Zhang, Tianliang Zhao, Sunling Gong, Shaofei Kong, Lili Tang, Duanyang Liu, Yongwei Wang, Lianji Jin, Yunpeng Shan, Chenghao Tan, Yingjie Zhang, Xiaomei Guo
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2018)
Article
Environmental Sciences
Jian Wu, Shaofei Kong, Fangqi Wu, Yi Cheng, Shurui Zheng, Qin Yan, Huang Zheng, Guowei Yang, Mingming Zheng, Dantong Liu, Delong Zhao, Shihua Qi
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2018)