Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113024 - 113024
Published: Dec. 24, 2024
Language: Английский
Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113064 - 113064
Published: Jan. 1, 2025
Language: Английский
Citations
3
Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7203 - 7203
Published: Aug. 22, 2024
The degradation of the ecosystem and loss natural capital have seriously threatened sustainable development human society economy. Currently, most research on Gross Ecosystem Product (GEP) is based statistical modeling methods, which face challenges such as high difficulty, costs, inaccurate quantitative methods. However, machine learning models are characterized by efficiency, fewer parameters, higher accuracy. Despite these advantages, their application in GEP not widespread, particularly area combined models. This paper includes both a combination model an explanatory analysis model. first to propose prediction called Ada-XGBoost-CatBoost (Ada-XG-CatBoost), integrates Extreme Gradient Boosting (XGBoost), Categorical (CatBoost) algorithms, SHapley Additive exPlanations (SHAP) approach overcomes limitations single-model evaluations aims address current issues incomplete assessments. It provides new guidance methods for enhancing value services achieving regional development. Based actual ecological data national city, preprocessing feature correlation carried out using XGBoost CatBoost AdaGrad optimization algorithm, Bayesian hyperparameter method. By selecting 11 factors that predominantly influence GEP, training selected datasets, optimizing error gradient then updated adjust weights, minimizes errors. reduces risk overfitting individual enhances predictive accuracy interpretability results indicate mean squared (MSE) Ada-XG-CatBoost reduced 65% 70% compared CatBoost, respectively. Additionally, absolute (MAE) 4.1% 42.6%, Overall, has more accurate stable performance, providing accurate, efficient, reliable reference industry.
Language: Английский
Citations
4
Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6560 - 6560
Published: Oct. 11, 2024
As a major coal-producing area, the Shanxi section of Yellow River Basin has been significantly affected by coal mining activities in local ecological environment. Therefore, an in-depth study evolution this region holds great scientific significance and practical value. In study, Basin, including its planned was selected as research subject. An improved remotely sensed index model (NRSEI) integrating (RSEI) net primary productivity (NPP) vegetation constructed utilizing Google Earth Engine platform. The NRSEI time series data from 2003 to 2022 were calculated, Sen + Mann-Kendall analysis method employed comprehensively assess environment quality evolutionary trends area. findings paper indicate following data: (1) contribution first principal component is more than 70%, average correlation coefficient higher 0.79. effectively integrates information multiple indicators enhances applicability regional evaluation. (2) Between 2022, showed overall upward trend, with value experiencing phases fluctuation, increase, decline, stabilization. values non-coal areas consistently remained those areas. (3) Over 60% have conditions, especially (4) impact on significant within 6 km radius, while effects gradually diminish 10 range. This not only offers reliable methodology for evaluating large scale over long but also guiding restoration sustainable development
Language: Английский
Citations
4
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 4, 2025
Language: Английский
Citations
0
Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(20)
Published: Oct. 1, 2024
Language: Английский
Citations
3
Frontiers in Built Environment, Journal Year: 2024, Volume and Issue: 10
Published: Aug. 30, 2024
The escalating challenges of global climate change have made the development low-carbon cities—urban areas committed to reducing carbon emissions through sustainable energy use, enhanced building efficiency, and transport solutions—a critical area study. However, there remains a significant gap in systematic review thematic evolution emerging frontiers within this field. This study addresses by analyzing data from Web Science database, initially retrieving 1,743 articles articles. Following PRISMA guidelines, we refined selection 1,648 high-quality publications. Using tools such as CiteSpace VOSviewer, conducted an in-depth analysis identify core authors, prolific countries/regions, leading institutions, key journals. Our revealed three evolutionary stages research on international city development. Additionally, identified seven predominant topics recent studies: land emissions, ecological environment quality, ecosystem services, human health, consumption, economic costs. These findings contribute clearer more comprehensive framework for cities, serving valuable reference scholars practitioners involved both theoretical practical aspects
Language: Английский
Citations
2
Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3676 - 3676
Published: April 27, 2024
To monitor the Ecological Environment Quality (EEQ) of Jiaodong Peninsula and provide a scientific basis for ecological environment governance sustainable development in region, this study evaluates EEQ using Remote Sensing-based Index (RSEI) model analyzes its spatiotemporal evolution patterns, building upon single-factor correlation analysis Random Sample Consensus (RANSAC) algorithm, GeoDetector to analyze driving mechanisms human activities natural factors EEQ. The results indicate following: (1) average RSEI values 2000, 2010, 2020 are 0.60, 0.57, 0.66, with Good or Excellent areas accounting 56.48%, 51.02%, 67.17%. From 2000 2020, strong improvement were predominantly distributed eastern hilly Peninsula. showed significant spatial autocorrelation. (2) RANSAC algorithm effectively reduces noise interference remote sensing data, thereby improving accuracy analysis. (3) In importance exceeds that activity factors. Standardized Precipitation Evapotranspiration (SPEI) is most important factor; while 2010 surpass importance, Land Use Composite (LUCI) being factor. exhibited double-factor nonlinear enhancement. interaction affecting SPEI∩GDP, LUCI∩SPEI, LUCI∩GDP.
Language: Английский
Citations
2
Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15
Published: June 11, 2024
Northeast China Tiger and Leopard National Park is home to the largest only breeding family of wild tigers leopards in China. The mining open-pit gold copper mines core zone might affect surrounding forest ecosystem survival activities leopards.
Language: Английский
Citations
1
Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113024 - 113024
Published: Dec. 24, 2024
Language: Английский
Citations
1