Integrating machine learning with the Minimum Cumulative Resistance Model to assess the impact of urban land use on road waterlogging risk

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132842 - 132842

Опубликована: Фев. 1, 2025

Язык: Английский

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Integrated learning framework for enhanced specific surface area, pore size, and pore volume prediction of biochar

Bioresource Technology, Год журнала: 2025, Номер 424, С. 132279 - 132279

Опубликована: Фев. 21, 2025

Язык: Английский

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AI-Assisted Urban Flood Prevention Services Decision-Making Framework With Multi-Dimensional Data Fusion via Govern-Intranet

International Journal of Web Services Research, Год журнала: 2025, Номер 22(1), С. 1 - 25

Опубликована: Май 7, 2025

Urban flood prevention faces challenges in real-time monitoring, data integration, and decision-making support, particularly under constraints of sensitive security efficient emergency response. This study proposes an artificial intelligence-assisted framework for urban prevention, integrating multi-dimensional fusion via intranet. A city-level digital twin platform is developed, combining sensor data, meteorological information, social media using a geographic information system, the Internet Things, intelligence algorithms. The ensures secure processing through intranet-based operations, enhancing prediction accuracy response efficiency. system was successfully implemented Hebi City, Henan Province, demonstrating significant improvements risk management. research advances resilience provides scientific basis management smart cities.

Язык: Английский

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Assessing the influence of green space morphological spatial pattern on urban waterlogging: A case study of a highly-urbanized city

Environmental Research, Год журнала: 2024, Номер unknown, С. 120561 - 120561

Опубликована: Дек. 1, 2024

Язык: Английский

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Urban Waterlogging Risk Assessment Based on Multivariate Data and Machine Learning

Опубликована: Ноя. 8, 2024

Язык: Английский

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