Published: July 15, 2024
Language: Английский
CATENA, Journal Year: 2025, Volume and Issue: 249, P. 108689 - 108689
Published: Jan. 5, 2025
Language: Английский
Citations
2
Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101500 - 101500
Published: Feb. 1, 2025
Language: Английский
Citations
2
Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3512 - 3512
Published: April 14, 2025
Global climate change has led to frequent urban flooding, and extreme rainfall become the main cause of flooding due its short duration rapid occurrence. The study trend can provide an important reference for prevention, control, management flooding. At present, there are abundant studies on evolution characteristics in Shenzhen, but relatively few rainfall. To analyze interannual variation Shenzhen a scientific basis water resource management, this paper systematically analyses evolutionary cyclical patterns based daily data city from 1958 2022 using 3-year moving average method, linear regression model, Mann–Kendall mutation test, wavelet analysis. Hurst index analysis was also used predict future trends frequency. results indicate that intensity frequency exhibit fluctuations, with overall slow downward no sudden changes causing decline. Periodic reveals significant wet–dry alternation time scale 10–65 years, most prominent occurring 63-year scale; cycle, cycle is about 44 years. indicates recent pattern developed towards short-term shows H values 0.666 0.631, respectively, both only slightly greater than 0.5, indicating weak positive persistence two indicators. This suggests events may show trend, does not have strong certainty.
Language: Английский
Citations
1
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4778 - 4778
Published: Dec. 21, 2024
The Loess Plateau (LP) in China is an ecologically fragile region that has long faced challenges such as soil erosion, water shortages, and land degradation. spatial temporal variations ecological environment quality on the LP from 2000 to 2020 were analyzed using Remote Sensing Ecological Index (RSEI) Google Earth Engine (GEE) platform. Sen, Mann–Kendall, Hurst exponent analyses used examine variation trends over past 20 years, while Geodetector identified key factors influencing RSEI changes their interactions. results indicate (1) effectively represents environmental of LP, with 47% study area’s annual mean values 20-year period classified moderate, ranging 0.017 0.815. (2) showed improvement 72% area, a 90% overall increase, but 84% these are not likely continue. (3) Key during abrupt change years included precipitation, use/land cover, sediment content, precipitation topography emerging primary influences quality. Although natural largely drive changes, human activities also exert both positive negative effects. This underscores importance sustainable management provides policy insights for advancing civilization contributing achievement Sustainable Development Goals (SDGs).
Language: Английский
Citations
7
Agronomy, Journal Year: 2024, Volume and Issue: 14(4), P. 708 - 708
Published: March 28, 2024
To accurately forecast the future development trend of vegetation in dry areas, it is crucial to continuously monitor phenology, health indices, and drought indices over an extended period. This because caused by high temperatures significantly affects vegetation. study thoroughly investigated spatial temporal variations phenological characteristics abdominal part Maowusu Sandland China past 20 years. Additionally, established a linear correlation between temperature arid zone. address issue predicting long-term trends changes, we have developed method that combines Informer deep learning model with seasonal Seasonal Trend decomposition using Loess (STL) empirical mode (EMD). utilized linearly correlated meteorological data spanning years predict Normalized Difference Vegetation Index (NDVI) Temperature Dryness (TVDI). The study’s findings indicate 20-year observation period, there was upward NDVI, accompanied decrease both frequency severity droughts. STL-EMD-Informer successfully predicted mean absolute percentage error (MAPE = 1.16%) changes for next decade. suggests overall expected continue improving during time. work examined plant growth circumstances locations from several angles complete analytical provide strong scientific basis ecological conservation management regions.
Language: Английский
Citations
6
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(14), P. 2601 - 2601
Published: July 16, 2024
As urbanization advances, the issue of urban heat islands (UHIs) grows increasingly serious, with UHIs gradually transitioning into regional islands. There is still a lack research on evolution and drivers thermal environment in agglomerations; therefore, this study, we used trend analysis methods spatial statistical tools to investigate these issues Beijing–Tianjin–Hebei (BTH) agglomeration. The results demonstrated following: (1) land surface temperature (LST) exhibited low fluctuation, while relative (RLST) fluctuated significantly. In Zhangjiakou Chengde, LST RLST trends were complex, differed between daytime nighttime, as well annual seasonal scales. other regions, more obvious. (2) During daytime, high UHI clusters centered “BJ–TJ–LF” “SJZ–XT–HD” formed gradually; during mainly observed built-up areas. distribution range direction showed greater degrees summer. (3) total area an increasing trend, intensity stress suffered by BTH agglomeration was increasing. (4) Hebei, aerosol optical depth, solar radiation, population density, gross domestic product dominant factors influencing UHIs; moreover, Beijing Tianjin, all basically equal impact. methodology findings study hold significant implications for guiding construction, optimizing structure, improving comfort
Language: Английский
Citations
4
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1334 - 1334
Published: April 8, 2025
Changes in grassland vegetation coverage (GVC) and their causes the China–Mongolia–Russia Economic Corridor (CMREC) region have been a hot button issue regarding ecological environment sustainable development. In this paper, multi-source remote sensing (RS) data were used to obtain GVC from 2000 2023 based on random forest (RF) regression inversion. The nonlinear characteristics such as number of mutations, magnitude time mutations detected analyzed using BFAST model. Driving factors climatic introduced quantitatively explain driving mechanism changes. results showed that: (1) RF model is optimal for inversion region. R2 training set reached 0.94, RMSE test was 12.86%, correlation coefficient between predicted actual values 0.76, CVRMSE 18.07%. (2) During period 2000–2023, ranged 0 5, there at least 1 mutation 58.83% study area. years with largest proportion 2010, followed by 2016, accounting 14.57% 11.60% all respectively. month highest percentage October, June, 31.73% 22.19% (3) sustained stable positive effect shown precipitation before after maximum mutation. Wind speed negative areas more severe desertification, Inner Mongolia, China parts Mongolia. On other hand, reduced wind mutations. Therefore, guarantee security CMREC, governments should formulate new countermeasures prevent desertification according laws nature strengthen international cooperation.
Language: Английский
Citations
0
Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown
Published: April 18, 2025
Language: Английский
Citations
0
Land, Journal Year: 2025, Volume and Issue: 14(5), P. 952 - 952
Published: April 28, 2025
Ecological transition zones spanning semi-humid to semi-arid regions pose distinctive monitoring challenges owing their climatic vulnerability and geomorphic diversity. This study focuses on Shanxi Province, a typical ecologically fragile area in the Loess Plateau of China. Based Google Earth Engine (GEE) platform Moderate Resolution Imaging Spectroradiometer (MODIS) datasets, we established Remote Sensing Index (RSEI) series from 2000 2024 for Province. The Theil–Sen Median, Mann–Kendall, Hurst indices were comprehensively applied systematically analyze spatiotemporal differentiation patterns ecological environmental quality. Furthermore, geodetector-based quantification elucidated synergistic interactions among topographic, climatic, anthropogenic drivers. results indicate following: (1) From 2024, restoration initiatives have shaped an “aggregate improvement-localized degradation” paradigm, with medium-quality territories persistently accounting 30–40% total land area. (2) Significant spatial heterogeneity exists, Lüliang Mountain west Datong Basin north being core degradation zones, while Taihang east shows remarkable improvement. However, Median–Hurst index predictions reveal that 60.07% improved areas face potential trend reversal risks. (3) driving mechanisms exhibit heterogeneity, where use type, temperature, precipitation, elevation, slope serve as global dominant factors. research provides scientific support formulating differentiated strategies, establishing compensation mechanisms, optimizing territorial planning contributing achievement sustainable development goals.
Language: Английский
Citations
0
Acta Geophysica, Journal Year: 2025, Volume and Issue: unknown
Published: May 7, 2025
Language: Английский
Citations
0