Impacts of vegetation restoration on soil erosion in the Yellow River Basin, China

CATENA, Journal Year: 2023, Volume and Issue: 234, P. 107547 - 107547

Published: Oct. 5, 2023

Language: Английский

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Combined Pollution of Soil by Heavy Metals, Microplastics, and Pesticides: Mechanisms and Anthropogenic Drivers

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 485, P. 136812 - 136812

Published: Dec. 6, 2024

Language: Английский

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Monitoring Land Use Changes in the Yellow River Delta Using Multi-Temporal Remote Sensing Data and Machine Learning from 2000 to 2020

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1946 - 1946

Published: May 28, 2024

The Yellow River Delta (YRD), known for its vast and diverse wetland ecosystem, is the largest estuarine delta in China. However, human activities climate change have significantly degraded ecosystem recent decades YRD. Therefore, an understanding of land use modifications essential efficient management preservation ecosystems this region. This study utilized time series remote sensing data extreme gradient boosting method to generate maps YRD from 2000 2020. Several methods, including transition matrix, dynamic degree, standard deviation ellipse, were employed explore characteristics transitions. results underscore significant spatial variations over past two decades. most rapid increase was observed built-up area, followed by terrestrial water tidal flats, while unutilized experienced fastest decrease, forest–grassland. distribution patterns agricultural land, water, forest–grassland demonstrated stronger directionality compared other types. wetlands expanded size improved structure. Unutilized has been converted into artificial comprising ponds, reservoirs, salt shrimp crab natural featuring mudflats conservation efforts after 2008 proven very effective, playing a positive role ecological environmental preservation, as well regional sustainable development.

Language: Английский

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NDVI variations of different terrestrial ecosystems and their response to major driving factors on two side regions of the Hu-Line

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111667 - 111667

Published: Feb. 1, 2024

Recent studies revealed that the greening in China has difficulty crossing Hu-Line. However, pattern and its driving factors remain unclear. Therefore, we explored NDVI spatio-temporal their key forces between southeastern northwestern of Hu-line from 2000 to 2020 using GDM (the geographical detector model) trend analysis method. The following results were obtained: (1) Overall, showed a fluctuating upward over study period, indicating greening. Although vegetation had improved significantly (48.11%) on region Hu-line, it degraded (24.71%) region. degradation cover unused construction land was larger than proportion improvement. (2) could identify effect single-factors variables both side regions Hu-line. P (precipitation), POP (population density), DEM (Digital Elevation), dominated NDVI's spatial China. ET (evapotranspiration), ST (soil types) strongest influence region, whereas dominant factor In addition, POP, GDP (gross domestic product) TEM (temperature) overall NDVI. (3) Seven influenced verged distribution change trends enhanced by interaction. is becoming greener. For various land-use types, natural (such as DEM) pattern. Nevertheless, anthropogenic governed land. Anthropogenic mainly controlled tendency variations. findings effectively explain provide information for decision-making restoration ecological protection.

Language: Английский

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A Novel Approach to Detecting the Salinization of the Yellow River Delta Using a Kernel Normalized Difference Vegetation Index and a Feature Space Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2560 - 2560

Published: March 20, 2024

Using the kernel normalized difference vegetation index (KNDVI) to monitor soil salinization has great advantages; however, approaches using KNDVI and a feature space model have not yet been reported. In this study, KNDVI, (NDVI), extended (EDVI), green (TGDVI), modified soil-adjusted (MSAVI), salt (SI) were used establish five monitoring indices for salinization. The spatio-temporal evolution pattern of in Yellow River Delta from 2000 2020 was analyzed based on optimal index. remote sensing KNDVI-SI’s point-to-point mode had best applicability with R2 = 0.93, followed by EDVI-SI’s 0.90. From 2020, an exacerbating then improving trend. Soil more severe northern eastern coastal areas Delta. These results are conducive restoration control

Language: Английский

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Soil Salinity Inversion in Yellow River Delta by Regularized Extreme Learning Machine Based on ICOA

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1565 - 1565

Published: April 28, 2024

Soil salinization has seriously affected agricultural production and ecological balance in the Yellow River Delta region. Rapid accurate monitoring of soil salinity become an urgent need. Traditional machine learning models tend to fall into local optimal values during process, which reduces their accuracy. This paper introduces Circle map enhance crayfish optimization algorithm (COA), is then integrated with regularized extreme (RELM) model, aiming improve accuracy content (SSC) inversion We employed Landsat5 TM remote sensing images measured data develop spectral indices, such as band index, vegetation comprehensive selecting modeling variable group through Pearson correlation analysis projection importance analysis. The back propagation neural network (BPNN), RELM, improved algorithm–regularized (ICOA-RELM) were constructed using selected groups for SSC inversion. results indicate that ICOA-RELM model enhances R2 value by average about 0.1 compared other models, particularly those variables filtered input variables, showed best effect (test set 0.75, MAE 0.198, RMSE 0.249). a higher degree coastal regions lower inland areas, moderate saline severe comprising 48.69% total area. These are consistent actual sampling results, verify practicability model. paper’s methods findings introduce innovative practical tool managing salinized soils Delta, offering significant theoretical benefits.

Language: Английский

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Exploring scaling differences and spatial heterogeneity in drivers of carbon storage Changes: A comprehensive geographic analysis framework

Ecological Indicators, Journal Year: 2024, Volume and Issue: 165, P. 112193 - 112193

Published: May 30, 2024

Understanding the spatiotemporal dynamics of carbon storage in regional ecosystem and its underlying mechanisms is essential for environmental science. This study presents an integrated geographical analysis framework to identify analyze primary factors influencing across various spatial scales. Initially, a global-scale Geographic Detector identified key affecting storage, refined later using Ordinary Least Squares (OLS) model mitigate multicollinearity redundancy. Subsequently, multi-scale geographic weighted regression (MGWR) explored heterogeneity nuanced impacts these Our findings reveal consistent downward trend Fujian Province, China, from 1995 2020, accompanied by significant autocorrelation. Elevation, slope, annual precipitation, distance expressway emerged as determinants, synergistically enhancing variance storage. Slope have broad influence, while added value industry precipitation show localized effects. Collectively, positively impact although with considerable variability orientation magnitude influence. highlights scale-specific heterogeneous nature drivers, offering fresh insights into governing patterns ecosystems.

Language: Английский

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Creep features and mechanism of active-layer detachment slide on the Qinghai-Tibet Plateau by InSAR

CATENA, Journal Year: 2024, Volume and Issue: 237, P. 107782 - 107782

Published: Jan. 4, 2024

An active-layer detachment slide (ALDS) occurred on September 21, 2018, in the Fenghuoshan mountains of Qinghai-Tibet Plateau (QTP) (34°39.1′N, 92°53.5′E). With Sentinel-1A image from Copernicus Open Access Hub, we use small baseline subset to achieve time series deformation map analyze thermo-spatial creep feature, motion pattern, trigger mechanism, and correlation environmental changes ALDS. The SBAS (the Small Baselines Subset) results show that trailing part ALDS has largest downward rate; however, leading area was small, feature shows a clear seasonal change corresponding freeze-thaw cycle. We also divide pattern into three stages: moderate creep, steady rapid collapse, based rate. Meteorological observation reanalysis data, as well borehole heavy precipitation summer 2017 2018 promote formation underground ice, while high air temperatures allow thaw plane reach ice-rich zone, confined water generated by two-way freezing process result Moreover, there exists temporal delay approximately one month association between rate both temperature. Furthermore, is variations thawing depth deformation, which serves primary catalyst for permafrost regions. Finally, identify mixed-type landslide cumulative damage play main roles triggering

Language: Английский

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Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23819 - e23819

Published: Dec. 20, 2023

With the accelerated development of urbanization, exploration and usage land resources is becoming more frequent, which leads to decline soil quality, resulting in a series ecological issues, such as nutrient loss, quality degradation destruction. At present, contradiction between erosion sustainable human society has become one hot issues studied by scholars. The Yellow River Basin an important experimental area for high-quality China, constructing Ecological Economic Belt play role China's regional coordinated development. Although most affected Lower (AALYR) plain, they have large population density are historical farming area. In latest years, because transformation modern society, their environment fragile problems increasingly serious. Studying analyzing vital meaning protection can provide scientific support conservation work. Depending on data precipitation, properties, use, population, etc., this paper studies analyzes AALYR from 2000 2020 through RUSLE. We found that during 20 years proportion very slight grade increased, distribution moderate above was less, mainly Zibo, Jinan, Anyang, Zhengzhou, Tai 'an. Nearly three quarters didn't change, apart increase area, other grades showed downward trend. take city, county town zoning analysis find scale decreases, serious increases, gradually detailed. Land use main influencing factor except DEM. Forestland grassland larger various types use. Through these conclusions paper, it promising theoretical references governance great river basins world similar regions.

Language: Английский

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Assessment of Ecotourism Environmental Carrying Capacity in the Qilian Mountains, Northwest China

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1873 - 1873

Published: Feb. 24, 2024

Ecotourism is the main trend of global tourism development, and evaluating ecotourism environmental carrying capacity (EECC) ecologically fragile areas can provide a scientific basis for sustainable development regional tourism. This study uses typical mountain area, Qilian Mountains (QLMs), as an example analyzes spatial temporal changes in EECC by constructing evaluation indicator system EECC, which based on framework “natural ecological environment support—socio-economic pressure—tourism activity pressure”. In results, it found that natural support, socio-economic pressure, pressure QLMs all present distribution pattern higher southeast lower northwest. From perspective, most indicators different subsystems show increasing trend. The whole area shows 85.4% region, while some southeastern northern parts decreasing Comparing time periods, region from 2000 to 2010, proportion with 2010 2018 reaches 67.1%. research results other similar regions world, they further contribute protection environment.

Language: Английский

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