
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121209 - 121209
Published: March 1, 2025
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 909 - 909
Published: Jan. 21, 2024
The eco-environment is under constant pressure caused by the rapid pace of urbanization and changes in land use. Shenzhen a typical “small-land-area, high-density” megalopolis facing various dilemmas challenges; we must understand eco-environmental risk (ER) rapidly urbanizing regions promote high-quality regional development. Therefore, with help Python Neo4j platforms, this study applies theoretical foundation knowledge graphs (KGs) deep learning to form KG an ER; this, sort establish evaluation system two dimensions, namely social ecological, introduce Monte Carlo simulation quantify ER City its uncertainty from 2000 2020 propose sub-regional programs targeted measures for prevention control ER. results are as follows: index (ERI) area whole showed slight increase 2020; at same time, low-risk were mainly located east southeast, while high-risk west–central northwestern parts. In addition, three sample points (points A, B, C) selected using method simulate transfer indicator weights assessment results. Finally, based on quantitative results, accurate zoning scheme was provided decision makers, appropriate countermeasures proposed.
Language: Английский
Citations
0Urban Science, Journal Year: 2024, Volume and Issue: 8(3), P. 107 - 107
Published: Aug. 8, 2024
In a global context, the identification of frameworks and assessment tools for achieving sustainable development requires study urban sustainability at different scales. While can be quantified more precisely on larger scale, it is challenging to adapt these accounting techniques smaller sites. Measuring becomes when researching from several viewpoints, especially constructing an acceptable set measurements while taking into account issues unique decision-making apparatus theoretical geographical perspectives. Which sorts indicators should prioritized above others? How many used? criteria employed choose best location interest? This addresses aforementioned research problems by proposing systematic, multidirectional approach defining adequate collection in situations. A top-down strategy, which provides literature identify regularly used essential categories, joined bottom-up approach, creates based real-world circumstances. The combination two methodologies seeks produce relevant measurements. neighborhood rehabilitation project public housing Le Lignon (Switzerland) serves as pilot case calibrating proposed technique. final findings support private parties involved planning procedures assessing projects location-specific features.
Language: Английский
Citations
0IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 18, P. 1626 - 1637
Published: Nov. 21, 2024
Language: Английский
Citations
0Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(3)
Published: Feb. 14, 2024
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Citations
0