Urban Climate, Journal Year: 2024, Volume and Issue: 59, P. 102271 - 102271
Published: Dec. 30, 2024
Language: Английский
International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: 117, P. 105198 - 105198
Published: Jan. 10, 2025
Language: Английский
Citations
1
Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103561 - 103561
Published: Feb. 16, 2025
Language: Английский
Citations
1
Atmospheric Research, Journal Year: 2024, Volume and Issue: 310, P. 107600 - 107600
Published: July 25, 2024
Language: Английский
Citations
4
Atmospheric Research, Journal Year: 2024, Volume and Issue: 310, P. 107632 - 107632
Published: Aug. 13, 2024
Language: Английский
Citations
4
Published: Jan. 1, 2025
During the summer of 2024, a record-breaking heatwave occurred in Yangtze River Delta urban agglomeration, posed widespread health and socio-economic challenges for local residents. Based on Weather Research Forecasting (WRF) model coupled with Urban Canopy Model (UCM) observations from 3000 automatic meteorological stations, we assess heterogeneous contributions effects —particularly land-use changes (LU) anthropogenic heat emissions (AH) — to this extreme wave further extent heat-related morbidity over (YRD). The results quantify individual combined at 3-km spatial resolution. contribute about 24% elevated daily mean temperature averaged across areas, LU play more significant role than AH. At night, approximately 38% surface areas. maximum contribution is observed downtown Shanghai. greater night during daytime, an average value 29% all areas 48% Shanghai night. These findings offer insights identifying heat-vulnerable spots within cities provide detailed information designing targeted, region-specific strategies enhance resilience guide adaptive measures mitigate impacts future heatwaves.
Language: Английский
Citations
0
Meteorological Applications, Journal Year: 2025, Volume and Issue: 32(1)
Published: Jan. 1, 2025
Abstract Heat waves harm human health and adversely impact the natural environment society, especially in urban regions. Understanding differences between heat agglomerations their driving mechanisms is essential for sustainable development. In this study, we investigate spatiotemporal distribution of summertime association with sea surface temperature modes two China's most densely populated areas: Beijing–Tianjin–Hebei (BTH) Yangtze River Economic Belt (YREB). The results indicate an increase frequency BTH YREB by 0.02 times a −1 0.1 duration 0.09d 0.48d , respectively. Regarding spatial distribution, gradually decreased from northeast to southwest. contrast, were concentrated upper parts lower reaches. Atlantic Multidecadal Oscillation significantly influences both Nevertheless, Pacific Decadal Oscillation, Indian Ocean Basin‐Wide Index, Cold‐tongue ENSO Index primarily region, limited influence observed region. This study provides scientific basis accurately identifying understanding changes, assisting decision‐makers formulating mitigation, adaptation strategies, disaster prevention policies related heat‐induced consequences.
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1985 - 1985
Published: Feb. 26, 2025
The rapid expansion of urban land is considered one the primary factors contributing to enhancement in climate extremes both frequency and severity. But effects on are presently unclear, especially geographically climatologically complex China. This study investigates evolution laws temperature precipitation from 1960 2022 over five national-level agglomerations China explores trends those under using WRF model. results show that variation characteristics higher consistency compared global warming urbanization. Both intensity have significantly increased, but sometimes decreased rather than increased. Furthermore, will strengthen with expansion. Around 30% can be attributed at lower latitudes more affected by expansion, no significant spatial distribution law observed extremes. this could provide a scientific reference for better coping extreme changes areas achieving sustainable development.
Language: Английский
Citations
0
Land, Journal Year: 2025, Volume and Issue: 14(5), P. 917 - 917
Published: April 23, 2025
Traditional urban expansion struggles to balance economic and ecological demands. Intensive development planning based on re-naturalization has become the policymakers’ choice. However, planning-oriented land use patterns pathways remain difficult determine. This study developed a spatial decision-support framework integrating ecosystem service valuation (ESV), land-use simulation, for Shanghai. assessed spatiotemporal dynamics of ESV simulated 2035 under different scenarios (inertial development, cropland protection, development). The optimal scenario corresponding were determined principle ESV. results showed that declined over past 20 years (−5.21%/5 years). High-value areas shrank significantly due space degradation. is scenario, with highest CNY 189,240.29 million, which higher than status quo, inertia protection by 9.69%, 23.27%, 9.53%, respectively. Taking as objective, 12 totaling 686.88 km2 identified. Cropland forestland built-up largest, accounting 67.88% 15.02%, provides valuable insights into in urbanized areas.
Language: Английский
Citations
0
Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)
Published: April 24, 2025
Language: Английский
Citations
0
Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107695 - 107695
Published: Sept. 1, 2024
Language: Английский
Citations
3