Assessment of Vegetation Dynamics in Xinjiang Using NDVI Data and Machine Learning Models from 2000 to 2023

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 306 - 306

Published: Jan. 3, 2025

This study utilizes NASA’s Normalized Difference Vegetation Index (NDVI) data from the Google Earth Engine (GEE) platform and employs methods such as mean analysis, trend Hurst index to assess NDVI dynamics in Xinjiang, with a particular focus on desert, meadow, grassland vegetation. Furthermore, multiple linear regression, random forest, support vector machines, XGBoost models are applied construct evaluate prediction models. The key driving forces identified ranked based results of optimal model. Changes vegetation cover response these analyzed using Mann–Kendall test partial correlation analysis. indicate following: (1) From 2000 2023, annual variation Xinjian fluctuates at rate 0.0012 per year. intra-annual follows an inverted U shape, meadow exhibiting highest monthly fluctuations. (2) During this period, average Xinjiang ranges 0 0.3, covering 74.74% region. Spatially, higher values observed north northwest, while lower concentrated south southeast. (3) overall slope between 2023 −0.034 0.047, indicating no significant upward trend. According index, future projections suggest shift improvement potential degradation. (4) Machine learning developed predict NDVI, forest showing precision. Soil moisture, runoff, evaporation drivers. In last 24 years, temperatures have generally increased, precipitation, soil runoff declined. There is negative both temperature evaporation, positive significant, distinct spatial variations throughout has been increasing, but outlook less promising. Enhanced environmental monitoring protective measures essential moving forward.

Language: Английский

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Optimizing African Port Hinterland Connectivity Using Markov Processes, Max-Flow, and Traffic Flow Models: A Case Study of Dar es Salaam Port

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1966 - 1966

Published: Feb. 13, 2025

Dar es Salaam Port, a crucial logistical hub in East Africa, faces significant challenges related to cargo handling efficiency, road congestion, and capacity constraints. The port’s performance is pivotal for regional trade, necessitating comprehensive analysis identify address operational inefficiencies. This study employed Markov processes evaluate delivery times, cellular automata simulating traffic dynamics, max-flow models optimize flow from the port hinterland destinations. incorporated factors such as rail capacities, conditions, environmental impacts. process model indicated that spends 15% of its time waiting at port, 50% transit, 10% delayed, with only 25% successfully delivered. Cellular Automata simulation revealed severe congestion heavy trucks due poor an additional 10 min delay during rainy season. highlighted while networks generally meet demand, bottlenecks exist, particularly Lubumbashi, which shortfall 500 t/day. findings offer actionable insights stakeholders. Logistics operators can leverage framework predict delays, resource allocation, improve reliability. Policymakers prioritize strategic investments infrastructure upgrades, management, maintenance reduce delays congestion. Scholars adopt integrated methodology analyze similar systems. Together, these efforts enhance Port’s transit support trade development..

Language: Английский

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Research on water supply and agricultural water use forecasting in arid regions: a case study of Xinjiang

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 9, 2025

Water resources are the lifelines of agricultural development in Xinjiang. Currently, problem water shortage for agriculture this region is becoming increasingly severe. Against backdrop, predicting changing trends supply and use Xinjiang analyzing relationship between them great practical significance ensuring sustainable regional agriculture. Firstly, we conducted an in-depth analysis patterns over past two decades. Secondly, evaluated compared several mainstream resource prediction models, ultimately developing a novel GM(1,1)-NN essemble model. Validation results demonstrated that model exhibits superior accuracy forecasting to other existing models. Finally, utilized newly developed predict short-term Based on these findings, proposed recommendations conservation from both technological planting perspectives. The key as follows: (1) There significant disparities Xinjiang, primarily attributed uneven precipitation distribution imbalanced economic development. (2) demonstrates high predictive (3) According our model’s projections, expected exhibit downward trend coming years. reduction will help allocate more non-agricultural sectors. (4) Despite improvements, contradiction proportion (approaching 88%) remains unresolved. Therefore, it recommended reduce through widespread adoption water-saving facilities optimization crop structures across different regions.

Language: Английский

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Corredores de transporte e desenvolvimento sustentável: contribuições para a literatura através de análise bibliométrica

Caderno Pedagógico, Journal Year: 2024, Volume and Issue: 21(10), P. e9115 - e9115

Published: Oct. 14, 2024

Este estudo utiliza uma abordagem bibliométrica para analisar a produção científica sobre corredores de transporte e desenvolvimento sustentável. Foram utilizadas as bases Scopus Web of Science. Houve aplicação alguns filtros nas escolhidas chegou-se 482 artigos levantados que compuseram base dados. Através ferramentas como VOSviewer, RStudio Excel, identificou-se os países, autores periódicos mais influentes, além destacar tendências pesquisa palavras-chave relevantes. Países China, Reino Unido Polônia se destacam na quantidade publicações, apresentando estudos com o foco em questões impacto ambiental, políticas públicas planejamento. No entanto, há carência empíricos países desenvolvimento, Brasil, onde dos pode ser significativo, sobretudo relacionam impactos sociais, econômicos ambientais. O conclui é necessária maior integração entre infraestrutura práticas sustentáveis promover social, econômico ambiental forma conjunta regiões emergentes.

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