Impacts of the Middle Route of the South-to-North Water Diversion Project on Land Surface Temperature and Fractional Vegetation Coverage in the Danjiang River Basin DOI Creative Commons
Shidong Wang, Yuanyuan Liu, Jianhua Guo

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(14), P. 2665 - 2665

Published: July 21, 2024

The Middle Route of the South-to-North Water Diversion Project is a critical infrastructure that ensures optimal water resource distribution across river basins and safeguards livelihood people in China. This study investigated its effects on land surface temperature (LST) fractional vegetation coverage (FVC) Danjiang River Basin. Moreover, it examined spatial temporal patterns this project, providing scientific basis for safe supply ecological preservation. We used improved interpolation mean anomaly (IMA) method based digital elevation model (DEM) to reconstruct LST while FVC was estimated using image element dichotomous model. Our findings indicated general increase average Basin post-project implementation. During both wet dry seasons, cooling effect primarily observed south-central region during daytime, with extreme values 6.1 °C 5.9 °C. Conversely, nighttime, more prevalent northern region, 3.0 2.3 In contrast, warming seasons predominantly located 5.3 5.5 At night, chiefly 5.8 displayed seasonal trend, higher season overall improvement over time. Statistical analysis revealed negative correlation between change daytime variations periods (r = −0.184, r −0.195). Furthermore, significant positive existed nighttime changes 0.315, 0.328). Overall, project contributed regulating LST, fostering development, enhancing stability

Language: Английский

Exacerbated heat stress induced by urban browning in the Global South DOI

Huilin Du,

Wenfeng Zhan, Bing‐Bing Zhou

et al.

Nature Cities, Journal Year: 2025, Volume and Issue: 2(2), P. 157 - 169

Published: Jan. 6, 2025

Language: Английский

Citations

2
Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities DOI Creative Commons

Katja Kustura,

Daniel J. Conti,

Matthias Sammer

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 318 - 318

Published: Jan. 17, 2025

Addressing global warming and adapting to the impacts of climate change is a primary focus adaptation strategies at both European national levels. Land surface temperature (LST) widely used proxy for investigating climate-change-induced phenomena, providing insights into radiative properties different land cover types impact urbanization on local characteristics. Accurate continuous estimation across large spatial regions crucial implementation LST as an essential parameter in mitigation strategies. Here, we propose deep-learning-based methodology using multi-source data including Sentinel-2 imagery, cover, meteorological data. Our approach addresses common challenges satellite-derived data, such gaps caused by cloud image border limitations, grid-pattern sensor artifacts, temporal discontinuities due infrequent overpasses. We develop regression-based convolutional neural network model, trained ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment Space Station) mission which performs pixelwise predictions 5 × patches, capturing contextual information around each pixel. This method not only preserves ECOSTRESS’s native resolution but also fills enhances coverage. In non-gap areas validated against ground truth model achieves with least 80% all pixel errors falling within ±3 °C range. Unlike traditional satellite-based techniques, our leverages high-temporal-resolution capture diurnal variations, allowing more robust time periods. The model’s performance demonstrates potential integrating urban planning, resilience strategies, near-real-time heat stress monitoring, valuable resource assess visualize development use changes.

Language: Английский

Citations

2
Comparing Integrated Heat Stress Indicators With Raw Meteorological Variables in Predicting Heat Stroke‐Related Ambulance Transportations in Japan DOI Creative Commons
Qiang Guo, Vera Ling Hui Phung, Chris Fook Sheng Ng

et al.

GeoHealth, Journal Year: 2025, Volume and Issue: 9(4)

Published: April 1, 2025

Abstract The increasing threat of heat stress poses significant risks to human health globally. To quantify exposure more effectively, integrated indicators (HSIs) have been developed simplify the classification severity and assist in public warnings. However, their ability accurately predict daily stroke cases has not fully assessed. In this study, we evaluated performance multiple HSIs forecasting number stroke‐related emergency ambulance dispatches (HT‐EADs) across 47 prefectures Japan compared accuracy models using raw meteorological variables. Our results indicate that, while process assessing stress, they generally show lower performances than based on data. Among eight tested, Wet Bulb Globe Temperature ( T WBG ) showed strongest predictive power, with median R 2 values 0.77 0.70 for calibration validation periods, respectively. incorporating air temperature, relative humidity, wind speed, solar radiation outperformed , achieving 0.85 0.74. We also observed spatial variability HSI performance, particularly cooler regions like Hokkaido, where provided no improvement over temperature alone. Given these findings, recommend that be rigorously local data before being used warning systems specific locations. For predictions requiring high accuracy, variables could prioritized ensure greater precision.

Language: Английский

Citations

1
Regional variation in the role of humidity on city-level heat-related mortality DOI Creative Commons
Qiang Guo, Malcolm Mistry, Xudong Zhou

et al.

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(8)

Published: July 25, 2024

Abstract The rising humid heat is regarded as a severe threat to human survivability, but the proper integration of into heat-health alerts still being explored. Using state-of-the-art epidemiological and climatological datasets, we examined association between multiple stress indicators (HSIs) daily mortality in 739 cities worldwide. Notable differences were observed long-term trends timing events detected by HSIs. Air temperature (Tair) predicts heat-related well with robust negative Tair-relative humidity correlation (CT-RH). However, near-zero or weak positive CT-RH, HSIs considering provide enhanced predictive power compared Tair. Furthermore, magnitude measured could differ largely from those associated Tair many cities. Our findings important insights specific regions where humans are vulnerable can facilitate further enhancement alert systems.

Language: Английский

Citations

8
Population aging exacerbates heat Stroke-Related ambulance Transportations in Japan DOI Creative Commons
Qiang Guo, Lina Madaniyazi, Shuhei Nomura

et al.

Environment International, Journal Year: 2025, Volume and Issue: 199, P. 109506 - 109506

Published: May 1, 2025

Rapid aging significantly increases Japan's population vulnerability to severe heat stress, yet the precise impact on stroke-related morbidity remains unclear. This study integrates multiple datasets and develops predictive models for daily emergency ambulance dispatches (HT-EADs) among younger older populations in Japan 2010-2019. By adjusting proportion of adults incorporating pseudo climate warming, we assessed how warming could amplify total HT-EADs. Compared simulation using demographic conditions 1995, recent trends have led a 15% increase HT-EADs during 2010-2019, an effect equivalent 0.3℃ warming. rise 30% under super-aging scenario by 2045, surpassing 0.5℃ Our findings emphasize that has comparable negative impacts stroke as change, highlighting urgent need enhanced protections residents hot summers.

Language: Английский

Citations

0
Microclimate of large solitary trees along rural-to-urban gradients across Europe DOI
Astrid Van den Bossche,

Karlien Moeys,

Karen De Pauw

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 370, P. 110585 - 110585

Published: May 2, 2025

Language: Английский

Citations

0
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models DOI Creative Commons

Fabio Merizzi,

Andrea Asperti,

Stefano Colamonaco

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Language: Английский

Citations

3
Effect of Environmental and Socioeconomic Factors on Increased Early Childhood Blood Lead Levels: A Case Study in Chicago DOI Open Access
Jangho Lee, M Hu

International Journal of Environmental Research and Public Health, Journal Year: 2024, Volume and Issue: 21(4), P. 383 - 383

Published: March 22, 2024

This study analyzes the prevalence of elevated blood lead levels (BLLs) in children across Chicagoland zip codes from 2019 to 2021, linking them socioeconomic, environmental, and racial factors. Wilcoxon tests generalized additive model (GAM) regressions identified economic hardship, reflected per capita income unemployment rates, as a significant contributor increased poisoning (LP) rates. Additionally, LP rates correlate with average age buildings, particularly post 1978 paint ban, illustrating policy impacts on health outcomes. The further explores novel area land surface temperature (LST) effects LP, finding that higher nighttime LST, indicative urban heat island effects, correlates LP. gains additional significance context anthropogenic climate change. When these factors are combined ongoing expansion territories, risk exists escalating global scale. Racial disparity analysis revealed Black Hispanic/Latino populations face primarily due older housing. underscores necessity for targeted public strategies address disparities, emphasizing need interventions cater unique challenges at-risk communities.

Language: Английский

Citations

1
Filling gaps in urban temperature observations by debiasing ERA5 reanalysis data DOI Creative Commons
Amber Jacobs, Sara Top, Thomas Vergauwen

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102226 - 102226

Published: Nov. 1, 2024

Language: Английский

Citations

1
Impacts of the Middle Route of the South-to-North Water Diversion Project on Land Surface Temperature and Fractional Vegetation Coverage in the Danjiang River Basin DOI Creative Commons
Shidong Wang, Yuanyuan Liu, Jianhua Guo

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(14), P. 2665 - 2665

Published: July 21, 2024

The Middle Route of the South-to-North Water Diversion Project is a critical infrastructure that ensures optimal water resource distribution across river basins and safeguards livelihood people in China. This study investigated its effects on land surface temperature (LST) fractional vegetation coverage (FVC) Danjiang River Basin. Moreover, it examined spatial temporal patterns this project, providing scientific basis for safe supply ecological preservation. We used improved interpolation mean anomaly (IMA) method based digital elevation model (DEM) to reconstruct LST while FVC was estimated using image element dichotomous model. Our findings indicated general increase average Basin post-project implementation. During both wet dry seasons, cooling effect primarily observed south-central region during daytime, with extreme values 6.1 °C 5.9 °C. Conversely, nighttime, more prevalent northern region, 3.0 2.3 In contrast, warming seasons predominantly located 5.3 5.5 At night, chiefly 5.8 displayed seasonal trend, higher season overall improvement over time. Statistical analysis revealed negative correlation between change daytime variations periods (r = −0.184, r −0.195). Furthermore, significant positive existed nighttime changes 0.315, 0.328). Overall, project contributed regulating LST, fostering development, enhancing stability

Language: Английский

Citations

0