Impact of Land Use and Land Cover Change on Land Surface Temperature: Comparative Studies in Four Cities in Southwestern Ethiopia

Environmental Challenges, Journal Year: 2024, Volume and Issue: 16, P. 101002 - 101002

Published: Aug. 1, 2024

The urban climate has undergone significant changes due to the rapid population growth, leading a decline in vegetation cover and an increase land surface temperature (LST). This study aims assess influence of use (LULC) on LST four major areas southwestern Ethiopia, namely Jimma, Bonga, Metu Nekemte, during period from 2002 2024. To investigate impact LULC dynamics LST, 30m spatial resolution images Landsat were utilized, including Thematic Mapper (TM) for year Operational Land Imager (OLI) Thermal Infrared (TIRS) years 2014 Over past 22 years, mean increased by 2.81°C, 2.94°C, 3.37°C, 3.96°C Metu, respectively. can be attributed various factors, but one primary reasons is linked urbanization decrease forest cover. Changes triggered significantly influences cities. results highlight increment impervious as key factors contributing upward trend LST. indicate that centers with less experience higher compared their surroundings. this necessity effective planning through greenery parks mitigate increasing trends which improve thermal comfort levels.

Language: Английский

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From city to countryside: Unraveling the long-term complex effects of urbanization on vegetation growth in China

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124975 - 124975

Published: March 13, 2025

Language: Английский

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A new method for evaluating the coordinated relationship between vegetation greenness and urbanization

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 19, 2025

Language: Английский

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Long-Term Assessment of Land Use and Ecological Sensitivity Dynamics in National Contiguous Poverty-Stricken Areas

Sustainable Development, Journal Year: 2025, Volume and Issue: 15(02), P. 175 - 184

Published: Jan. 1, 2025

Language: Английский

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Evolution of the Asian summer monsoon and regional karst ecological environment since the middle ages in Southwest China

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

The frequent droughts and floods, closely associated with the Asian summer monsoon (ASM), has profoundly affected ecological environment economy in East Asia. While changes ASM are related to precipitation patterns, specific mechanism still requires further investigation. This study utilized stalagmite records from Feilong Cave southwest China reconstruct evolution of since Medieval Warm Period (MWP). results indicated that strengthened during MWP weakened Little Ice Age (LIA), intensity primarily driven by solar activity variations tropical ocean-atmosphere circulation. Different phase combinations Atlantic Multidecadal Oscillation, Pacific Decadal Oscillation also influenced on ASM. During MWP, warming northern hemisphere landmasses, intensified, enhancing long-range transport moisture (Indian monsoon), leading northward shifts rain belt eastern region increased China. Conversely, LIA, cooling landmasses led a weakening reduced transport, resulting southward southern Additionally, abnormal shift Western Subtropical High prolonged retention China, causing an increase monsoonal rainfall Comparison Chinese terrestrial proxy reveals antiphase relationship between parts counterparts showed "wet north-dry south" pattern, while south-dry north" pattern emerged. Furthermore, suggest human activities exacerbated deterioration karst Middle Ages.

Language: Английский

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Disease detection on exterior surfaces of buildings using deep learning in China

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

Urban infrastructure, particularly in ageing cities, faces significant challenges maintaining building aesthetics and structural integrity. Traditional methods for detecting diseases on exteriors, such as manual inspections, are often inefficient, costly, prone to errors, leading incomplete assessments delayed maintenance actions. This study explores the application of advanced deep learning techniques accurately detect exterior surfaces buildings urban environments, aiming enhance detection efficiency accuracy while providing a real-time monitoring solution that can be widely implemented infrastructure health management. The research model improves feature extraction by integrating DenseNet blocks Swin-Transformer prediction heads, trained validated using dataset 289 high-resolution images collected from diverse environments China. Data augmentation improved model's robustness against varying conditions. proposed achieved high rate 84.42%, recall 77.83%, an F1 score 0.81, with speed 55 frames per second. These metrics demonstrate effectiveness identifying complex damage patterns, minute cracks, even within noisy significantly outperforming traditional methods. highlights potential transform strategies offering practical ultimately enhancing contributing practices timely interventions.

Language: Английский

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Exploring the Synergy Between Transport Superiority and the Rural Population System in Yunnan Province: A Temporal and Spatial Analysis for 2013 to 2021

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 762 - 762

Published: April 3, 2025

Yunnan Province, which is located in the mountainous plateau region of China, faces numerous challenges, including population decline rural areas. Achieving coordinated development between transportation and systems crucial for fostering sustainable growth. In this study, we developed a pressure state response (PPSR) model comprehensive transport superiority (TS) that considers influence aviation. We quantified system horizontal across Yunnan’s districts counties period 2013 to 2021, examining their temporal spatial heterogeneity. Using autocorrelation model, also explored trade-offs synergy TS PPSR. The main findings are as follows. (1) From polarization pattern PPSR Province gradually weakened, there were different degrees contraction overall. (2) significantly increased, with aviation conditions having notably positive impact, further strengthening Kunming’s position regional core. (3) Yunnan, relationship significant, collaborative emerging counties, reflecting distinct characteristics degree polarization. This study provides valuable insights integrating urban areas offers new perspective revitalization.

Language: Английский

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Estimating the Effects of Natural and Anthropogenic Activities on Vegetation Cover: Analysis of Zhejiang Province, China, from 2000 to 2022

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1433 - 1433

Published: April 17, 2025

Zhejiang Province, a pivotal economically developed region within China’s Yangtze River Delta, requires systematic investigation of spatiotemporal vegetation dynamics and their drivers to formulate targeted ecological protection policies optimize restoration strategies. Utilizing the Google Earth Engine (GEE) platform, this study applied Kernel Normalized Difference Vegetation Index (kNDVI) assess responses climate variability human activities in Province from 2000 2022. Analytical methods included simple linear regression, Theil Sen trend analysis (Sen), Mann Kendall test (MK), Hurst index, partial correlation analysis, analysis. The results show: (1) kNDVI exhibited significant upward (0.001/year), covering 61.5% province. index revealed that 69.1% changes anti-sustainability characteristics, with future degradation areas (56.4%) projected exceed improvement (28.1%). (2) Human (57.11%) contributed more than change (42.89%). (3) Against backdrop change, demonstrated positive temperature (coefficient: 0.44) but negative precipitation −0.056), confirming as dominant climatic driver. Overall, 2022 were jointly driven by activities.

Language: Английский

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Urbanity mapping reveals the complexity, diffuseness, diversity, and connectivity of urbanized areas

Geography and sustainability, Journal Year: 2024, Volume and Issue: 5(3), P. 357 - 369

Published: Sept. 1, 2024

There are urgent calls for new approaches to map the global urban conditions of complexity, diffuseness, diversity, and connectivity. However, existing methods mostly focus on mapping urbanized areas as bio physical entities. Here, based continuum urbanity framework, we developed an approach cross-scale from town city megaregion with different spatial resolutions using Google Earth Engine. This was multi-source remote sensing data, Points Interest – Open Street Map (POIs-OSM) big random forest regression model. is scale-independent revealed significant variations in urbanity, underscoring differences urbanization patterns across megaregions between rural areas. Urbanity observed transcending traditional boundaries, diffusing into settlements within non-urban locales. The finding communities far challenges gradient theory urban-rural development distribution. By livelihoods, lifestyles, connectivity simultaneously, maps present a more comprehensive characterization than that by land cover or population density alone. It helps enhance understanding beyond biophysical form. can provide multifaceted urbanization, thereby insights regional sustainability.

Language: Английский

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The Impact of Climate Change and Human Activities on the Spatial and Temporal Variations of Vegetation NPP in the Hilly-Plain Region of Shandong Province, China

Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 898 - 898

Published: May 22, 2024

Studying the spatio-temporal changes and driving mechanisms of vegetation’s net primary productivity (NPP) is critical for achieving green low-carbon development, as well carbon peaking neutrality goals. This article employs various analytical approaches, including Carnegie–Ames–Stanford approach (CASA) model, Theil–Sen median estimator, coefficient variation, Hurst index, land-use land-cover change (LUCC) transition matrix, to conduct a thorough study NPP variations in Shandong Hilly Plain (SDHP) region. Furthermore, geographic detector method was used investigate synergistic effects meteorological human activities on this Between 2000 2020, vegetation SDHP exhibited an average increase rate 0.537 g C·m−2·a−1. However, fluctuation mean annual NPP, ranging from 203 230 C·m−2·a−1, underscores uneven growth pattern. Significant regional disparities are evident gradually ascending southeast northwest coastal areas inland regions. The index entire area stands at 0.556, indicating overall sustained trend time series NPP. can be explained by climate variables (mean temperature, precipitation) (LUCC, night light index); these, LUCC (q = 0.684) has highest explanatory power impact major influencing factor. deepens understanding factors patterns dynamic response At same time, it provides valuable scientific insights improving ecosystem quality promoting

Language: Английский

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