Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144648 - 144648
Published: Dec. 1, 2024
Language: Английский
Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113191 - 113191
Published: Feb. 1, 2025
Language: Английский
Citations
2
Smart Cities, Journal Year: 2024, Volume and Issue: 7(4), P. 2110 - 2130
Published: Aug. 1, 2024
This research addresses the urgent challenges posed by rapid urbanization and climate change through an integrated interdisciplinary approach combining advanced technologies with rigorous scientific exploration. The comprehensive analysis focused on Wuhan, China, spanning decades of meteorological land-use data to trace extreme trajectories reveal intricate temporal spatial patterns. Employing innovative 360° radial Fibonacci geometric growth framework, study facilitated a meticulous dissection urban morphology at granular scales, establishing model that combined fixed mobile observational techniques uncover climatic shifts transformations. Geographic information systems computational fluid dynamics were pivotal tools used explore interplay between structures their environments. These analyses elucidated nuanced impact diverse morphosectors local conditions. Furthermore, genetic algorithms harnessed distill meaningful relationships from extensive collected, optimizing arrangements enhance resilience sustainability. pioneering not only illuminates complex ecosystems but also offers transformative insights for designing smarter, more adaptable cities. findings underscore critical role green spaces in mitigating heat island effects. highlights imperative sustainable planning address multifaceted 21st century, promoting long-term environmental sustainability health, particularly context tomorrow’s climate-adaptive smart
Language: Английский
Citations
4
E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 605, P. 03047 - 03047
Published: Jan. 1, 2025
Development and urbanization have had a significant impact on the layout land use in Surakarta. The research aims to map how far green open spaces changed estimate carbon reserves Surakarta 2019-2023. Green space was mapped by accessing Sentinel 2A obtain Google Earth Engine, whereas stocks were assessed each density class formula between storage NDVI values per pixel. results, based five years of annual data, indicate regions (GOS) with an extremely high concentration vegetation decreased from 5,880 hectares 2019 4,899.2 2023. This trend reflects loss places dense vegetation. Vegetation as most substantial contributors stocks, data cumulative 12,933,424.55 kg 12,518,281.65 2023, resulting around 415,142.9 at site during past years. These findings contribute greater understanding plant dynamics capability urban environments that giving useful insights for environmental planning management large cities.
Language: Английский
Citations
0
Geography and sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100268 - 100268
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124171 - 124171
Published: Jan. 19, 2025
Language: Английский
Citations
0
Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 261, P. 107544 - 107544
Published: Jan. 19, 2025
Language: Английский
Citations
0
Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144766 - 144766
Published: Jan. 1, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 10, 2025
Soil erosion contributes to the irreversible loss of soil organic carbon (SOC) into rivers (SOCR), posing risks food security and cycle assessments. Red regions, characterized by high sink potential selenium enrichment, are particularly vulnerable. However, existing studies largely rely on small-scale experiments, with limited understanding basin-scale SOCR dynamics their driving factors. This study integrates Water Assessment Tool (SWAT) for sediment yield simulation a Organic Carbon Content (SOCC) model quantify at basin scale. A Random Forest-based prediction was developed explore spatial-temporal variability mechanisms in Dongjiang River Basin (DRB), representative red region southern China. Results indicate significant heterogeneity, higher observed downstream, human-disturbed areas during flood seasons. The demonstrates excellent performance (R²>0.9). Key drivers include yield, cultivated land area (CULT), urban (TOWN), urbanization showing stronger sensitivity than cultivation due factors such as city size impervious surfaces. proposed framework reveals dynamic change characteristics its mechanism, which has be generalized other basins similar studies, provides technical support resource management cycling erosion-prone region.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 19, 2025
The watershed is the optimal natural division for ecosystems, playing a crucial role in carbon reduction and sequestration. Exploring sequestration potential of terrestrial ecosystems under different land use scenarios enhancing regional storage capacity significant importance. In this study, LUCC Lijiang River basin evolution (NE), conservation (NC), urban developmentand (UD) farmland protection (FP) 2040 was simulated by using grid data, driver data density based on PLUS model InVEST model. Then, effects change stock Basin from 2000 to were evaluated. results show that, (1)from 2020, area arable significantly increased Li Basin, while forest grassland areas decreased significantly. distribution pattern mainly influenced factors such as economy, population density, topography, roads. Population growth economic development require more land, construction land. (2)Due change, 3.69 × 106 t over 20-year period, particularly northern southern regions basin. (3)Meanwhile, there pattern, with accounting reduced proportion (90.76%) total ecosystem 2020. (4)According projected scenario, will decrease 3.13 compared 2020 Basin. Under scenario protection, ecological increase 2.75 105 t. caused be uncertain; however, definitely cause stock.This study examines impact highlighting gains providing valuable insights planning strategies.
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1770 - 1770
Published: Feb. 20, 2025
To address the conceptual ambiguity surrounding climate carrying capacity and lack of a unified quantitative assessment method, here we integrate existing concepts propose comprehensive evaluation framework for capacity, emphasizing threshold system’s to support human activities. Additionally, incorporates carbon resource production potential, wind solar potential as its four key components, employs vector modeling approach quantitatively evaluate temporal spatial variations in across China’s provinces, municipalities, autonomous regions from 1986 2020. The results reveal that most exhibited low coefficients variation index during study period, indicating an overall stable good further development. However, Beijing, Shanghai, Tianjin demonstrated exceptionally high variation, at 62.8%, 74.3%, 74.4%, respectively, warranting attention. Tibet, Xinjiang, Inner Mongolia significantly higher indices than other areas, whereas Ningxia, Hainan, Chongqing generally displayed lower indices. This enhances theoretical offers scientific foundation formulating sustainable development policies, promoting coordinated regional development, protecting environment, addressing change.
Language: Английский
Citations
0