[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
urban sustainability. Numerous studies integrated machine learning and remote sensing to …
[HTML][HTML] Exploring the response of ecosystem service value to land use changes under multiple scenarios coupling a mixed-cell cellular automata model and system …
P Zhang, L Liu, L Yang, J Zhao, Y Li, Y Qi, X Ma… - Ecological …, 2023 - Elsevier
Land use is a crucial factor affecting ecosystem service value (ESV), and forecasting future
land use changes and ESV response can guide urban planning and sustainable …
land use changes and ESV response can guide urban planning and sustainable …
Improving air quality through urban form optimization: A review study
S Li, B Zou, X Ma, N Liu, Z Zhang, M Xie, L Zhi - Building and Environment, 2023 - Elsevier
Air pollution is a significant global environmental issue. Nevertheless, the importance of
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …
[HTML][HTML] Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
Q Guo, Z He, Z Wang - Toxics, 2023 - mdpi.com
Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
human health and sustainable development. The accuracy prediction of daily PM2. 5 …
[HTML][HTML] Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
This study uses machine learning (ML) models for a high-resolution prediction (0.1°× 0.1°) of
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
The impact of urban green space morphology on PM2. 5 pollution in Wuhan, China: A novel multiscale spatiotemporal analytical framework
S Bi, M Chen, F Dai - Building and Environment, 2022 - Elsevier
Urban green space morphology (UGSM) yields more overall ecological benefits in high-
density urban areas. However, the types of UGSMs and the scale effects of the spatial …
density urban areas. However, the types of UGSMs and the scale effects of the spatial …
Spatiotemporal estimation of the PM2. 5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning …
P Zhang, L Yang, W Ma, N Wang, F Wen, Q Liu - Environmental Research, 2022 - Elsevier
PM 2.5 pollution endangers human health and urban sustainable development. Land use
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
[HTML][HTML] Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China
L Lin, Y Liang, L Liu, Y Zhang, D Xie, F Yin, T Ashraf - Remote Sensing, 2022 - mdpi.com
Fine particulate matter (PM2. 5) is a major pollutant in Guanzhong Urban Agglomeration
(GUA) during the winter, and GUA is one of China's regions with the highest concentrations …
(GUA) during the winter, and GUA is one of China's regions with the highest concentrations …
Investigate the effects of urban land use on PM2. 5 concentration: An application of deep learning simulation
L Zhao, M Zhang, S Cheng, Y Fang, S Wang… - Building and …, 2023 - Elsevier
As the fine particulate matter (PM 2.5) polluting seriously threat people's health, exploring its
mitigation strategies has become an urgent issue to be studied. Urban land use, the carrier …
mitigation strategies has become an urgent issue to be studied. Urban land use, the carrier …
[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …