Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study DOI Creative Commons
Yudiyang Ma, Ying Hui, Linxi Tang

et al.

Eco-Environment & Health, Journal Year: 2024, Volume and Issue: 4(1), P. 100129 - 100129

Published: Dec. 13, 2024

Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke dementia, is primarily identified diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on relationship between air pollution CSVD, this study aimed to investigate links multiple pollutants exposure CSVD risk. Eligible subjects their MRI data were obtained from Multi-modality Medical Imaging Study Based Kailuan Study, totaling 1216 participants. Ordinal binary logistic regression models utilized evaluate associations neuroimaging markers of CSVD. For each interquartile range increase pollutant during examination year, odds ratios 95% confidence intervals increased white matter hyperintensity burden 1.45 (1.15, 1.84) for PM2.5, 1.72 (1.27, 2.34) PM10, 1.26 (1.05, 1.51) SO2, 1.52 (1.16, 2.00) NO2, 1.63 (1.26, 2.13) CO. The results remained consistent even when model was fitted using different windows. Furthermore, estimated effect sizes total 1.20 (1.01, 1.43) 1.39 (1.12, 1.74) (1.03, 1.53) 1.30 (1.08, 1.58) These findings suggest that positive link Chinese population, revealing importance controlling environmental protect population against cerebral damage.

Language: Английский

HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003–2020 DOI Creative Commons
Hui Zhang, Ming Luo, Wenfeng Zhan

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: April 24, 2024

Abstract Near-surface atmospheric moisture is a key environmental and hydro-climatic variable that has significant implications for the natural human systems. However, high-resolution data are severely lacking fine-scale studies. Here, we develop first 1 km high spatial resolution dataset of monthly index collection in China (HiMIC-Monthly) over long period 2003~2020. HiMIC-Monthly generated by light gradient boosting machine algorithm (LightGBM) based on observations at 2,419 weather stations multiple covariates, including land surface temperature, vapor pressure, cover, impervious proportion, population density, topography. This includes six commonly used indices, enabling assessment conditions from different perspectives. Results show good performance, with R 2 values all indices exceeding 0.96 root mean square error absolute within reasonable range. The exhibits consistency situ various temporal regimes, demonstrating broad applicability strong reliability.

Language: Английский

Citations

16
Unlocking China's grain yield potential: Harnessing technological and spatial synergies in diverse cropping systems DOI
Zhenzhong Dai,

Sen Chang,

Guorong Zhao

et al.

Agricultural Systems, Journal Year: 2025, Volume and Issue: 226, P. 104308 - 104308

Published: March 9, 2025

Language: Английский

Citations

1
Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022 DOI Creative Commons
Min Wang, Jing Wei, Xiaodong Wang

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 15, 2024

A high-accuracy, continuous air temperature (Ta) dataset with high spatiotemporal resolution is essential for human health, disease prediction, and energy management. Existing datasets consider factors such as elevation, latitude, surface but insufficiently address meteorological factors, affecting accuracy. Additionally, no high-resolution currently includes daily maximum (T

Language: Английский

Citations

5
Urban green spaces enhanced human thermal comfort through dual pathways of cooling and humidifying DOI
Xiaoyu Yu, Zhiwei Yang, Dongmei Xu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106032 - 106032

Published: Dec. 1, 2024

Language: Английский

Citations

5
Aridity‐Driven Non‐Linear Shift of Plant Sodium Allocation Strategy at Regional and Global Scales DOI
Hongbo Guo, Jiahui Zhang, Xiaoyan Kang

et al.

Global Ecology and Biogeography, Journal Year: 2025, Volume and Issue: 34(3)

Published: March 1, 2025

ABSTRACT Aim Plants allocate sodium (Na) to leaves and roots as an adaptation salinity drought, potentially modulating herbivory ecosystem carbon cycling. However, large‐scale spatial patterns environmental drivers of plant Na allocation remain unclear. Location China the world. Time Period Field data were collected between 2013 2019. Literature 1970 2024. Major Taxa Studied Vascular plants. Methods We compiled a global database paired leaf (Na Leaf ) root Root content, combining field observations from 2183 species across 72 Chinese ecosystems with globally synthesised literature records. Results The pattern is primarily regulated by aridity. Generally, plants more in humid zones but arid zones. Furthermore, aridification leads abrupt non‐linear increases ratio Leaf:Root when aridity exceeds critical threshold (0.814 for 0.774 community). Importantly, response consistently observed community levels biomes. Main Conclusions Our findings demonstrate flexible drought on large scale. Projected could amplify threshold‐exceeding regions, possibly enhancing activity herbivores decomposers triggering cascading impacts structure cycling rate.

Language: Английский

Citations

0
Mechanisms underlying the impacts of cropland wind farms on local carbon and water fluxes DOI Creative Commons
Dongliang Dang, Xiaobing Li,

Xin Lyu

et al.

Environmental Research Letters, Journal Year: 2025, Volume and Issue: 20(5), P. 054039 - 054039

Published: April 22, 2025

Abstract In recent years, the rapid expansion of wind power industry has increased awareness its ecological impacts. A thorough understanding these impacts is essential for scientifically planning farms (WFs) in future. While previous studies have evaluated influences WFs on vegetation and climate indicators, analyses underlying mechanisms remain limited. Here, we focused 169 cropland eastern China to investigate this prevalent type WF. Specifically, developed an analytical framework that first environmental factors. Ridge regression was then applied identify differences variables inside outside affect gross primary productivity (GPP) evapotranspiration (ET). Finally, structural equation modeling used delineate pathways by which influence GPP ET. The results show reduce daytime land surface temperature 0.186 °C, significantly increase soil moisture (0.003 m 3 −3 ), decrease vapor pressure deficit 0.095 hPa. These changes subsequently contributed a significant rise (25.181 gC −2 ) ET (3.785 mm). By elucidating complex from pathway perspective, study reveals interactions among factors influenced local scale effects WFs, providing deeper their valuable insights future research.

Language: Английский

Citations

0
Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution DOI Creative Commons

Ruize Xu,

Jiahua Zhang, Meimei Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 135, P. 104248 - 104248

Published: Nov. 6, 2024

Language: Английский

Citations

2
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation DOI

Jiawen Zhang,

Dongdong Kong, Jianfeng Li

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132549 - 132549

Published: Dec. 1, 2024

Language: Английский

Citations

2
Effects of vegetation restoration on the temporal variability of soil moisture in the humid karst region of southwest China DOI Creative Commons

Likai Hu,

Qiuwen Zhou, Dawei Peng

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101852 - 101852

Published: May 31, 2024

a typical humid karst region of southwestern China. Temporally stable soil moisture variability (SMV) helps clarify stress on vegetation growth. In the southwest China, large-scale restoration has affected moisture. However, most studies here have focused changes in content, and SMV not been considered. this study, to after were analyzed using two indicators: coefficient variation(SMCV) memory(SMM). The results showed that SMCV decreased by an average 22.3 % SMM increased 17.2 Karst had significantly restoration, overall decrease was larger 15-day, monthly, yearly scales smaller weekly scale.When effects different types considered, greatly forestland grassland 15-day monthly scales, shrubland annual scale, sparse woodland scales. Four geomorphic regions particular large reductions SMV: basin, peak cluster depression, forest plain, non-karst region. addition, significant positive influence geochemical climatic factors non-significant negative geological structure factors. Among them, CaO content MgO are greater than SiO2 0.71 0.63. precipitation temperature vapor pressure difference 0.51 0.4. Overall, found make more stable.

Language: Английский

Citations

1
Comparison of the Distribution of Evapotranspiration on Shady and Sunny Slopes in Southwest China DOI Creative Commons

Yixi Kan,

Huaiyong Shao,

Chang Du

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(22), P. 4310 - 4310

Published: Nov. 19, 2024

Evapotranspiration (ET) plays a significant role in the surface water cycle, particularly within unique geographical context of Southwest China. The region’s different topography, driven by mountain uplift and variations slope direction, alters regional hydrothermal conditions, thereby affecting local ecoclimatic patterns. ET characteristics, shaped orientation, can also serve as important indicators climate variability study area. While most existing research on shady sunny slopes has been conducted at point scale, this employed Global Land Surface Satellite (GLASS) products to estimate average for across five provinces China between 2003 2018. driving factors behind variation regions were explored. Key results include following: (1) Annual ranges 200 mm 800 mm, with Tibet exhibiting lowest values Yunnan highest. (2) decreases gradually increasing altitude range 0 m 5000 m. is higher than slopes. Notably, when m, greater that increases. (3) initially increases inclination before decreasing. areas exceeding 35° Yunnan, value found be significantly compared (4) effects soil moisture, Normalized Difference Vegetation Index, relative humidity, land temperature are more substantial slopes, whereas air stronger impact These provide valuable data change contribute strategies ecological environmental protection.

Language: Английский

Citations

1