Research on Urban Sustainability Based on Neural Network Models and GIS Methods

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 397 - 397

Published: Jan. 7, 2025

Ecologically sustainable urban design plays a pivotal role in mitigating climate change. This study develops an indicator group consisting of ecological emergy, land use change, population density, services, habitat quality, enhanced vegetation index, carbon emissions, and storage to assess sustainability. By leveraging dataset from 2000 2020, we employ neural network predict emergy sustainability indicators over time series, projecting the status Xuzhou City 2020 2050. The findings indicate that urbanization has led significant changes use, distribution, service patterns, quality degradation, fragmentation, fluctuating dynamics. Cropland constitutes predominant type (90.6%), followed by built-up (8.49%). predictions suggest City’s is subject volatility (15–20%), with stability expected only as city matures into developed area. research introduces novel approach analysis provides insights for policy development aimed at fostering growth.

Language: Английский

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Implications of Multi-Decadal Land Use Changes on Groundwater Regime in Tropical Coastal Regions

Groundwater for Sustainable Development, Journal Year: 2025, Volume and Issue: unknown, P. 101419 - 101419

Published: Feb. 1, 2025

Language: Английский

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A simple and effective approach to investigate the dominant contaminant sources and accuracy in water quality estimation through Monte Carlo simulation, Gaussian Mixture Models (GMMs), and GIS machine learning methods

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113188 - 113188

Published: Feb. 1, 2025

Language: Английский

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Assessment of ecological risk under different SSP-RCP scenarios of the Xinjiang province in China

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 11, 2025

The ecological research of regional land use and cover change (LULCC) under the Shared Socioeconomic Pathway (SSP) Representative Concentration (RCP) scenarios proposed by IPCC has become a prominent topic. This study investigates spatial distribution risks associated with changes in arid semi-arid regions Xinjiang future SSP-RCP scenarios. In this paper, LUCC data, climate soil topographic data different 2100 were adopted to construct use/land quality index (LQI), (CQI), (SQI) respectively. Using as case study, an integrated risk model was constructed through LQI, CQI SQI. By 2100, LQI areas will dominate, accounting for approximately 70% total area. Central Xinjiang, home largest desert China—the Taklimakan Desert—predominantly consists Gobi, where is generally better SSP-RCP126 scenario compared other high are primarily concentrated mountainous, Xinjiang. SQI remains consistent across 2100. Under SSP-RCP245 scenarios, global warming effectively mitigated, leading relatively favorable overall However, SSP-RCP370 SSP-RCP585 moderate, high, extremely expand, covering 50%

Language: Английский

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Characteristics and Potential Health Risk of Inorganic Nitrogen in Phreatic Water in the Central and Southern Parts of Yinchuan Plain (Northwest China)

Exposure and Health, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Language: Английский

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Mechanism of Urban Spatial Morphology and Eco-Environmental Risk: A Case Study of Shenzhen, China

International Journal of Environmental Research, Journal Year: 2024, Volume and Issue: 19(2)

Published: Dec. 23, 2024

Language: Английский

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