Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

M Zhang, S Tan, C Zhang, E Chen - Sustainable Cities and Society, 2024 - Elsevier
Land use practices in urban areas exert a profound influence on the urban thermal
environment and the pursuit of sustainable development. This paper aims to investigate and …

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nan**g, China

M Zhang, S Tan, J Liang, C Zhang, E Chen - Journal of Environmental …, 2024 - Elsevier
The urban thermal environment undergoes significant influences from changes in land
use/land cover (LULC). This article uses CA-ANN and ANN algorithms to forecast LULC and …

Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China

M Zhang, AA Kafy, P **ao, S Han, S Zou, M Saha… - Urban Climate, 2023 - Elsevier
The impact of the rapid expansion of urban land on the urban thermal environment and
carbon chain has attracted widespread attention. This paper uses artificial neural network …

Impact of seasonal global land surface temperature (LST) change on gross primary production (GPP) in the early 21st century

M Zhang, E Chen, C Zhang, Y Han - Sustainable Cities and Society, 2024 - Elsevier
Understanding the impact of global land surface temperature (LST) changes on gross
primary production (GPP) is crucial for addressing global sustainability challenges …

Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China

M Zhang, S Tan, C Zhang, S Han, S Zou… - Sustainable Cities and …, 2023 - Elsevier
The large-scale urbanization has changed the surface characteristics of cities, seriously
affected the urban heat balance, and worsened the urban thermal environment. The …

Review of land use change detection—a method combining machine learning and bibliometric analysis

B Liu, W Song, Z Meng, X Liu - Land, 2023 - mdpi.com
Land use change detection (LUCD) is a critical technology with applications in various
fields, including forest disturbance, cropland changes, and urban expansion. However, the …

Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales

X Ji, Y Sun, W Guo, C Zhao, K Li - Journal of Environmental Management, 2023 - Elsevier
Studying the spatial distribution of land use/land cover (LULC) and habitat quality (HQ),
influenced by both climate change and socio-economic factors, holds immense importance …

[HTML][HTML] Potential geographical distribution and its multi-factor analysis of Pinus massoniana in China based on the maxent model

Y He, J Ma, G Chen - Ecological Indicators, 2023 - Elsevier
Pinus massoniana, an important timber, producing, and silvicultural species in southern
China, exhibits high adaptability and wide distribution. This study utilizes the Maximum …

Spatial correlations of land use carbon emissions in shandong peninsula urban agglomeration: A perspective from city level using remote sensing data

L Zhao, C Yang, Y Zhao, Q Wang, Q Zhang - Remote Sensing, 2023 - mdpi.com
The spatial and temporal characteristics of land use carbon emissions are relevant to the
sustainable use of land resources. Although spatial and temporal studies have been …

Ventilation analysis of urban functional zoning based on circuit model in Guangzhou in winter, China

A Wang, M Zhang, B Ren, Y Zhang, AA Kafy, J Li - Urban Climate, 2023 - Elsevier
Effectively alleviating the urban thermal environment is an important problem faced by
modern urban environment optimization. This paper predicts the land surface temperature …