Viewing China's escalating heatwaves through the lens of complex networks DOI Creative Commons
Peng Zhang, Erfu Dai, Chunsheng Wu

и другие.

Ecological Indicators, Год журнала: 2023, Номер 157, С. 111248 - 111248

Опубликована: Ноя. 18, 2023

Heatwaves are increasingly frequent and severe, prompting international research concerns. This study utilized the Visibility Graph to construct complex networks (CNs) of heatwaves in China. From a CN perspective, we analyzed spatial temporal variability hazard patterns heatwaves, with focus on their reliability advantages. Our findings indicate that China have exhibited consistent overall increasing trend since 1961, more significant rise observed past 30 years. Notably, there substantial variations changes severity experienced different regions decades, southern experiencing higher hazards compared central where they relatively lower. The utilization CNs has demonstrated remarkable advantages anomaly detection, change phase delineation, analysis connections between meteorological stations, selection representative values. And, enable incorporation both heatwave zoning. results this provide new methods perspectives for researching climate extremes, establish solid foundation comprehensive accurate prevention

Язык: Английский

Integrating Remote Sensing and Ground-Based Data for Enhanced Spatial–Temporal Analysis of Heatwaves: A Machine Learning Approach DOI Creative Commons
Thitimar Chongtaku, Attaphongse Taparugssanagorn, Hiroyuki Miyazaki

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(10), С. 3969 - 3969

Опубликована: Май 7, 2024

In response to the urgent global threat posed by human-induced extreme climate hazards, heatwaves are still systematically under-reported and under-researched in Thailand. This region is confronting a significant rise heat-related mortality, which has resulted hundreds of deaths, underscoring pressing issue that needs be addressed. research article one first present solution for assessing heatwave dynamics, using machine learning (ML) algorithms geospatial technologies this country. It analyzes metrics like number (HWN), frequency (HWF), duration (HWD), magnitude (HWM), amplitude (HWA), combining satellite-derived land surface temperature (LST) data with ground-based air (Tair) observations from 1981 2019. The result reveals marked increases both intensity daytime peri-urban areas, most pronounced changes being 0.45-day/year HWN, 2.00-day/year HWF, 0.27-day/year HWD. trend notably less urban areas. Conversely, rural regions experiencing escalation nighttime heatwaves, 0.39 days/year 1.44 0.14 Correlation analysis (p<0.05) spatial heterogeneity robust correlations between Tair LST (HWN, HWD, r>0.90) (HWM, HWA, r>0.65) regions. study emphasizes importance considering microclimatic variations analysis, offering insights targeted intervention strategies. demonstrates how enhancing remote sensing ML can facilitate spatial–temporal across diverse environments. approach identifies critical risk areas Thailand, guiding resilience efforts serving as model managing similar microclimates, extending applicability study. Overall, provides policymakers stakeholders potent tools action effective management. Furthermore, contributes mitigating impacts events, promoting resilience, fostering environmental sustainability.

Язык: Английский

Процитировано

1

Enhanced Interannual Variability of the Spring High‐Temperature Events Over Northeast China and the Associated Mechanisms DOI

Qi‐Xin Wen,

Huopo Chen

Journal of Geophysical Research Atmospheres, Год журнала: 2024, Номер 129(21)

Опубликована: Ноя. 2, 2024

Abstract The spring‐high temperature events (SHTE) over northeast China (NEC) and the related local atmospheric factors including cloud cover, radiation flux, soil moisture exhibited an increased interannual variability after 1992/93. Correlation analyses reveal that both North Atlantic quadrupole sea surface anomalies (NAQSSTA) spring Siberian snow depth (SSSD) had a stronger linkage with SHTE since early 1990s. Additionally, of SSSD also showed interdecadal increase, which is key factor in changes SHTE. Further NAQSSTA could excite Rossby wave via increasing low‐level baroclinicity during 1993–2017. One branch trains propagated eastward other northeastward through high latitudes, eventually reached NEC together resulted anomalous anticyclonic circulation sinking motion. latter contribute to low geopotential height cyclonic further favored increase there. Subsequently, positive facilitate more occurrences by exacerbating meridional thickness gradient between polar region mid‐latitudes then limiting Arctic cold air invade into south. Meanwhile, polar‐Eurasian pattern (POL) associated higher guide train originating from propagate northeastward, consistent SHTE‐related path Model results reproduce physical processes linking

Язык: Английский

Процитировано

1

The Spatio-Temporal Evolution and Driving Factors of High-Quality Development in the Yellow River Basin during the Period of 2010–2022 DOI Open Access
Mengna Zhang, Shanzhong Qi

Sustainability, Год журнала: 2023, Номер 15(18), С. 13512 - 13512

Опубликована: Сен. 9, 2023

The Yellow River Basin is an important ecological barrier and economic development area in China, but it faces some problems such as the degradation of its quality a lagging level. Promoting high-quality only way for China’s construction to enter into development, objective evaluation study premise effectively improving this quality. Based on panel data during period 2010–2022, framework drivers, pressures, state, impact, response model was used build index system. each province calculated using entropy TOPSIS model. Further, descriptive statistics method standard deviation ellipse were applied analyze spatio-temporal characteristics area, geographical detector weighted regression employed reveal driving factors Basin. results showed that (1) steadily improved over period, with average annual growth rate 3.024%. (2) high-value level distributed from northwest southeast, high values subsystem tending be spatially stable, well spatial differences subsystems increasing. (3) proportion tertiary industry, per capita disposable income, rural–urban income ratio, GDP, highway mileage, population main affecting evolution Basin, q 0.867, 0.938, 0.852, 0.781, 0.842, 0.763, respectively. (4) Except negative effect other five all had positive effects level, 0.044, 0.068, 0.227, 0.064, 0.215,

Язык: Английский

Процитировано

3

Contribution of urban expansion to surface warming in high-altitude cities of the Tibetan Plateau DOI

Yali Zhong,

Shuqing Chen, Haihua Mo

и другие.

Climatic Change, Год журнала: 2022, Номер 175(1-2)

Опубликована: Ноя. 1, 2022

Язык: Английский

Процитировано

4

Viewing China's escalating heatwaves through the lens of complex networks DOI Creative Commons
Peng Zhang, Erfu Dai, Chunsheng Wu

и другие.

Ecological Indicators, Год журнала: 2023, Номер 157, С. 111248 - 111248

Опубликована: Ноя. 18, 2023

Heatwaves are increasingly frequent and severe, prompting international research concerns. This study utilized the Visibility Graph to construct complex networks (CNs) of heatwaves in China. From a CN perspective, we analyzed spatial temporal variability hazard patterns heatwaves, with focus on their reliability advantages. Our findings indicate that China have exhibited consistent overall increasing trend since 1961, more significant rise observed past 30 years. Notably, there substantial variations changes severity experienced different regions decades, southern experiencing higher hazards compared central where they relatively lower. The utilization CNs has demonstrated remarkable advantages anomaly detection, change phase delineation, analysis connections between meteorological stations, selection representative values. And, enable incorporation both heatwave zoning. results this provide new methods perspectives for researching climate extremes, establish solid foundation comprehensive accurate prevention

Язык: Английский

Процитировано

2