Impacts of Land Use Conversion on Soil Erosion in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 550 - 550

Published: April 20, 2024

The serious problem of soil erosion not only has a profound impact on people’s lives but also results in series ecological and environmental challenges. To determine the changes land use type urban agglomeration northern slopes Tianshan Mountains, this study commences by employing InVEST-SDR (integrated valuation ecosystem services tradeoffs–sediment delivery ratio) model to calculate levels spanning from 2000 2020. Subsequently, it forecasts cover (LULC) conditions for year 2030 under three scenarios: Q1 (natural development), Q2 (ecological protection), Q3 (economic priority). This projection is accomplished through integration coupled Markov chain multi-objective planning (MOP) alongside patch-generating simulation (PLUS) models. Ultimately, based these outcomes, predicts 2030. There been consistent decline 2020 with high-intensity concentrated Mountain region. Grasslands, glaciers, permafrost are identified as most erosion-prone types area, forests exhibiting highest capacity retention. Converting grassland barren forest within same area substantial reduction erosion, specifically 27.3% 46.3%, respectively. Furthermore, transformation leads noteworthy 19% decrease erosion. Over past two decades, witnessed significant grasslands, notable shift towards impervious surfaces due economic development mining activities. predicted scenarios depict expansion land, grassland, Soil decreases different shared socio-economic pathway (SSP) relative an increase scenario scenario, whereas amount exhibits continued when effect change considered. Persistently rapid can exacerbate problems, underscoring need find balance between growth conservation. As slows down, greater emphasis should be placed protection maintain stability.

Language: Английский

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Spatiotemporal Characteristics of Carbon Emissions from Construction Land and Their Decoupling Effects in the Yellow River Basin, China

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 320 - 320

Published: Feb. 5, 2025

Carbon emissions (CE) from expanding construction land (CL), a vital territory for human production and habitation, have contributed to climate change worldwide. The Yellow River Basin (YRB), an essential economic region energy supply base in China, is experiencing rapid urbanization, the contradiction between development ecological protection increasingly acute. Consequently, thorough examination of spatial temporal features carbon (CECL) its decoupling growth (EG) crucial maintaining region. This study adopts IPCC emission coefficient approach measuring CECL YRB 2010 2021. variation were revealed using ArcGIS software standard deviation ellipse (SDE) model. effect EG was analyzed Tapio model innovatively combined with Logarithmic Mean Divisia Index (LMDI) method explore influence five main drivers on effect. found that: (1) rose 2.463 billion tons 3.329 layout “high east low west”. (2) SDE distributed direction “northeast southwest”, gravity center’s moving path “northwest northeast northwest”; (3) weak (WD) state EG; (4) output (CL) scale are two factors inhibiting CECL, while intensity effect, population density structure elements motivating CECL. provides specific references bases China other countries regions similar levels promoting green ecologically friendly initiatives achieving low-carbon utilization regional sustainable development.

Language: Английский

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Pollution reduction effect of the digital transformation of heavy metal enterprises under the agglomeration effect

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 330, P. 129864 - 129864

Published: Nov. 26, 2021

Language: Английский

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How urban land-use intensity affected CO2 emissions at the county level: Influence and prediction

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109601 - 109601

Published: Nov. 1, 2022

Currently, China will promote county towns' urbanization, and few studies have analyzed spatial effects of urban land-use intensity on CO2 emissions predicted at the level accurately. Here, taking data from 2010 to 2015 Zhejiang Province as an example, we effect three aspects input, density output by Durbin model (SDM). And then a machine learning method Back Propagation Neural Network (BPNN) was proposed predict for 2035 nonlinearly under different promotions intensity. The main result conclusion showed that: (1) spillover were negatively related emissions, positive emissions; (2) prediction BPNN that improvement would not be effective in reductions southwestern counties with both low levels urbanization intensity; (3) It reduction slowing down growth rate capital input intensity, especially northeast region which developed port economy. Our study encouraged regional differentiated strategy achieve carbon development.

Language: Английский

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Spatial correlation among cultivated land intensive use and carbon emission efficiency: A case study in the Yellow River Basin, China

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(28), P. 43341 - 43360

Published: Jan. 30, 2022

Language: Английский

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