Enhancing artificial permafrost table predictions using integrated climate and ground temperature data: A case study from the Qinghai-Xizang highway DOI
Yuzhi Zhang, Shaojie Liang, Jianbing Chen

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: 229, P. 104341 - 104341

Published: Oct. 18, 2024

Language: Английский

Urban land use function prediction method based on RF and cellular automaton model DOI Creative Commons

Wenjun Song,

Min Ling

Computational Urban Science, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 21, 2025

Abstract To accurately grasp the dynamic changes of urban land use and solve difficulties challenges in predicting functions at present, this study integrates interest point data open street map through kernel density estimation technology. Moreover, also random forest algorithm cellular automaton model, finally proposes a new function prediction method based on model. The experiment results show that comprehensive precision Kappa coefficient calculated by research reach 81.88% 0.71, separately, verifying validity way. indicate number squares required for road transportation, industrial land, public services, residential green squares, commercial service Hulunbuir City 2030 is expected to 2000, 3889, 2591, 9280, 2696, 8988, respectively. This provides scientific basis future planning. sum up, raised has high applicability accuracy distribution pattern functional regions, important instructing significance planning, optimal assignment resources, continuous expanding urbanization.

Language: Английский

Citations

0

Systematic Exploration of the Effect of Urban Green Space on Land Surface Temperature: A Scientometric Analysis DOI Creative Commons

Tianle Zhu,

Xinyi Wang, Yifei Luo

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1032 - 1032

Published: March 24, 2025

Urban green spaces (UGSs) are crucial for mitigating land surface temperature (LST) in the context of climate change and extremely high temperatures. Although numerous studies have explored impact UGSs on LST, a systematic understanding research scope, knowledge network structure, data sources, main methods, frontier trends this field is lacking. In study, 740 documents were retrieved from Web Science database, hotspots, trends, frontiers LST analyzed using scientometric analysis CiteSpace 6.2.R4 software. The results revealed that annual number publications citations has increased consistently, with rapid growth 2019 to 2024. However, communication dissemination findings hindered by lack efficient international collaboration networks academic institutions authors, highlighting need more vigorous global exchanges cooperation. Additionally, eight identified clusters extracted literature keywords, covering remote sensing, urban infrastructure, landscape patterns, spatial regression analysis, threshold values efficiency, etc., established specific content system, methodology. Furthermore, enhancing multi-disciplinary integration incorporating practical case will improve accuracy applicability facilitate translation theoretical into applications. This study provided comprehensive overview current offered valuable guidance studying thermal comfort sustainable development future.

Language: Английский

Citations

0

Enhancing artificial permafrost table predictions using integrated climate and ground temperature data: A case study from the Qinghai-Xizang highway DOI
Yuzhi Zhang, Shaojie Liang, Jianbing Chen

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: 229, P. 104341 - 104341

Published: Oct. 18, 2024

Language: Английский

Citations

1