Urban Waterlogging Risk Assessment Based on Multivariate Data and Machine Learning DOI

Feng Zang,

Jinfen Fu,

Qixu Chen

et al.

Published: Nov. 8, 2024

Language: Английский

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

Xiaotian Qi,

Soon‐Thiam Khu,

Pei Yu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132842 - 132842

Published: Feb. 1, 2025

Language: Английский

Citations

0
Integrated learning framework for enhanced specific surface area, pore size, and pore volume prediction of biochar DOI
Chao Chen, Yongjie Hu,

Yadong Ge

et al.

Bioresource Technology, Journal Year: 2025, Volume and Issue: 424, P. 132279 - 132279

Published: Feb. 21, 2025

Language: Английский

Citations

0
AI-Assisted Urban Flood Prevention Services Decision-Making Framework With Multi-Dimensional Data Fusion via Govern-Intranet DOI Open Access
Xiaohu Fan, Jing Zeng,

Xuejiao Pang

et al.

International Journal of Web Services Research, Journal Year: 2025, Volume and Issue: 22(1), P. 1 - 25

Published: May 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.

Language: Английский

Citations

0
Assessing the influence of green space morphological spatial pattern on urban waterlogging: A case study of a highly-urbanized city DOI
Wenli Zhang,

Suixuan Qiu,

Zhuochun Lin

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120561 - 120561

Published: Dec. 1, 2024

Language: Английский

Citations

1
Urban Waterlogging Risk Assessment Based on Multivariate Data and Machine Learning DOI

Feng Zang,

Jinfen Fu,

Qixu Chen

et al.

Published: Nov. 8, 2024

Language: Английский

Citations

0