Satellite Data Revealed That the Expansion of China’s Lakes Is Accompanied by Rising Temperatures and Wider Temperature Differences

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1546 - 1546

Published: April 26, 2025

Lake surface water area (LSWA) and lake temperature (LSWT) are critical indicators of climate change, responding rapidly to global warming. However, studies on the synergistic variations LSWA LSWT scarce, coupling relationships among lakes with different environmental characteristics remain unclear. In this study, relative growth rate (RKLSWA); absolute rates annual maximum, mean, minimum LSWTs (i.e., KLSWT_max, KLSWT_mean, KLSWT_min); difference between maximum (LSWT_mmd) (KLSWT_mmd) were investigated across more than 4000 in China using long-term Landsat data, their types permafrost non-permafrost recharge, endorheic or exorheic lakes, natural artificial lakes) comprehensively analyzed. Results indicate significant differences trends LSWT, as well interrelationships various regions types. Qinghai–Tibet Plateau (QTP), 57.8% showed an increasing trend LSWA, 2.4% showing moderate expansion (RKLSWA values 0.1–0.2), while over 27.5% South (SC) region displayed shrinkage −0.1~0%/year). Regarding LSWTs, 49.8% QTP exhibited a KLSWT_max greater 0, 47.9% KLSWT_mean 0. contrast, 48.1% Middle Lower Yangtze River Plain (MLYP) had less 48.5% Additionally, supplied by permanent demonstrated both those non-permanent permafrost. Further analysis revealed that approximately 20.2% experienced concurrent increase mean whereas around 18.9% simultaneous rise LSWT_mmd LSWA. This suggests is correlated rising temperatures differences. study provides deeper insights into response Chinese change offers important references for resource management ecological conservation.

Language: Английский

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How Urban Characteristics Impact Surface Urban Heat Island in Subtropical High-Density Cities Based on Lczs: A Case Study of Macau

Published: Jan. 1, 2024

Although numerous studies have explored the influence of urban spatial characteristics (USC) on surface heat island intensity (SUHII) from perspective local climate zone (LCZ), spatio-temporal heterogeneity within and between LCZs has not been demonstrated. In this study, a total 1540 grid units in Macau across 7 years were screened as research samples. USC, SUHII LCZ calculated derived multi-source data. GWR GTWR models applied to detect non-stationarity USC SUHII, Geodetector was used for ranking interpretation strength driving factors each class. Results show that 8 is highest. Besides, model had best fitting degree accounting thermal variations due form changes, regression performance generally different among classes, especially compact-types open-types. Furthermore, strategies related optimization finally proposed class based contribution factors. This study sheds new light "USC-SUHII-LCZ" linkage provides specific planning recommendations environment improvement, subtropical highdensity cities.

Language: Английский

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Evaluating urban–rural gradients and urban forms in metropolitan areas: a local climate zone approach with future spatial simulation

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105636 - 105636

Published: July 2, 2024

Language: Английский

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Sectoral carbon emission prediction and spatial modeling framework: A local climate zone-based case study of the Guangdong-Hong Kong-Macao Greater Bay Area

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105756 - 105756

Published: Aug. 23, 2024

Language: Английский

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Scale Differences and Gradient Effects of Local Climate Zone Spatial Pattern on Urban Heat Island Impact—A Case in Guangzhou’s Core Area

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6656 - 6656

Published: Aug. 3, 2024

With the continuous development of cities, surface urban heat island intensity (SUHII) is increasing, leading to deterioration thermal environment, increasing energy consumption, and endangering health residents. Understanding spatio-temporal scale difference gradient effect spatial patterns on impact SUHII crucial for improving climate resilience cities promoting sustainable development. This paper investigated characteristics changes at different time periods based local zones (LCZs) downscaled land temperature (LST) data. Meanwhile, landscape pattern indicators multiscale geographically weighted regression (MGWR) model were utilized analyze impacts multiple spatial–temporal scales. The results indicated that each LCZ type exhibited diverse in periods. High occurred summer daytime autumn nighttime. Compact high-rise buildings (LCZ1/2/4) showed markedly higher during or nighttime, except heavy industry. extent influence dominant factors exhibit obvious differences effects. At regional scale, highly regular compacted built-up areas tended increase SUHII, while single continuously distributed had a greater SUHII. PLAND (1/2/4/5/10) trend diminishing from suburban areas. In areas, 1, 2, LCZ4 was major factor affecting whereas, 2 10 influencing can provide scientific reference mitigating effects constructing an ecologically ‘designed’ city.

Language: Английский

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