Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Фев. 3, 2025

Background In the process of China’s urbanization, issues such as air pollution, water soil and noise pollution have become increasingly prominent, severely constraining sustainable development cities. The resultant decline in environmental welfare performance (EWP) not only affects residents’ quality life but may also lead to public health issues, increasing healthcare costs, subsequently impacting social stability economic development. Methods This paper incorporates factors closely related welfare, into analytical framework performance. Using Hybrid-Network-DEA model, we measure EWP 240 cities China, then investigate spatial distribution characteristics spatio-temporal evolution patterns EWP. Finally, empirical testing influencing is conducted using econometric methods. Results overall level Chinese from 2004 2019 relatively low, it generally shows a wavy upward trend. Meanwhile, notable regional disparities exist EWP, with highest average east, followed by west, lowest central. main source differences lies inter-regional disparities. greatest internal are found while largest between east west. A pronounced positive autocorrelation observed among Economic development, opening-up, financial digital infrastructure, population density significantly promote local whereas industrial structure transportation exerted opposite effects. Additionally, enhancement neighboring regions notably facilitated infrastructure. Within three major regions, direct indirect effects various exhibit significant differences. Conclusion Based on these insights, suggest comprehensively improving efficiency, narrowing disparities, strengthening agglomeration effects, optimizing structure, support infrastructure construction.

Язык: Английский

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Life cycle assessment of turning hydrogen sulfide recovered from sea waters into clean hydrogen

Resources Conservation and Recycling, Год журнала: 2025, Номер 216, С. 108175 - 108175

Опубликована: Фев. 17, 2025

Язык: Английский

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A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County

Land, Год журнала: 2025, Номер 14(3), С. 441 - 441

Опубликована: Фев. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Язык: Английский

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Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index

Ecological Informatics, Год журнала: 2024, Номер unknown, С. 102936 - 102936

Опубликована: Дек. 1, 2024

Язык: Английский

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Forest Height and Volume Mapping in Northern Spain with Multi-Source Earth Observation Data: Method and Data Comparison

Forests, Год журнала: 2025, Номер 16(4), С. 563 - 563

Опубликована: Март 24, 2025

Accurate forest monitoring is critical for achieving the objectives of European Green Deal. While national inventories provide consistent information on state forests, their temporal frequency inadequate fast-growing species with 15-year rotations when are conducted every 10 years. However, Earth observation (EO) satellite systems can be used to address this challenge. Remote sensing satellites enable continuous acquisition land cover data high (annually or shorter), at a spatial resolution 10-30 m per pixel. This study focused northern Spain, highly productive region. aimed improve models predicting variables in plantations Spain by integrating optical (Sentinel-2) and imaging radar (Sentinel-1, ALOS-2 PALSAR-2 TanDEM-X) datasets supported climatic terrain variables. Five popular machine learning algorithms were compared, namely kNN, LightGBM, Random Forest, MLR, XGBoost. The findings show an improvement R2 from 0.24 only Sentinel-2 MultiLinear Regression 0.49 XGboost multi-source EO data. It concluded that combination datasets, regardless model used, significantly enhances performance, TanDEM-X standing out remarkable ability valuable height volume, particularly complex such as Spain.

Язык: Английский

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Impact of Land Use Dynamics on Ecological Sensitivity and Soil Erosion in Typical Ecological Restoration Areas of the Loess Plateau

Sustainability, Год журнала: 2025, Номер 17(5), С. 1865 - 1865

Опубликована: Фев. 22, 2025

This study aims to explore the impact of land use changes on ecological sensitivity and soil erosion in restoration areas Loess Plateau Yulin City, Shaanxi Province, China. By analyzing from 2014 2022 integrating an assessment model, this systematically evaluates effects different types regional environment. An analysis variance (ANOVA) structural equation modeling (SEM) were employed investigate significant differences various erosion. The results indicate following: (1) Croplands grasslands area exhibit higher sensitivity, risk has increased annually since 2022, especially when are converted into croplands, leading a intensification (2) Different have differential impacts (3) direct effect is close significance, positive (path coefficient = 0.958, p-value < 0.001). also provides new perspective for examining relationship between findings demonstrate importance explaining erosion, offering theoretical basis understanding multivariate relationships within complex ecosystems.

Язык: Английский

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Land Use Change in the Russian Far East and Its Driving Factors

Land, Год журнала: 2025, Номер 14(4), С. 804 - 804

Опубликована: Апрель 8, 2025

This study systematically analyzes land use changes in the Russian Far East from 2000 to 2020, identifying key transformations and their driving factors. Using multi-temporal remote sensing images combined with dynamics analysis, transition matrices, gray relational this research comprehensively evaluates evolution its influencing The purpose of is elucidate how patterns shift under influence natural conditions, demographic trends, cross-border cooperation a particular emphasis on border areas adjacent northeast China. findings reveal that during observed period, underwent substantial expanses arable built-up areas, while forest decline. Grassland demonstrated relative stability, water bodies continued decrease, unused exhibited fluctuating initially increasing then decreasing. In three regions (Amur Oblast, Jewish Autonomous Region, Primorsky Krai), these were more pronounced compared overall, reflecting intensified agricultural development urban growth strategic zones. Gray analysis shows climate change local population are principal drivers change, regional trade—particularly China–Russia trade industrial raw materials, agriculture, food exports—plays moderate role. evolving carry significant implications for resource acquisition, ecological security, cooperation. underscores necessity formulating scientifically sound management policies balance economic protection, thus fostering sustainable stability.

Язык: Английский

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Forest landscape restoration is a key factor in recovering ecological quality

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144619 - 144619

Опубликована: Дек. 1, 2024

Язык: Английский

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Dynamic monitoring of eco-environmental quality in the Greater Mekong Subregion: Evolutionary characteristics and country differences

Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107700 - 107700

Опубликована: Окт. 24, 2024

Язык: Английский

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