Results 221 to 230 of about 465,005 (307)

Flood risk susceptibility analysis in Larkana district Pakistan using multi criteria decision analysis and geospatial techniques. [PDF]

Sci Rep
Khoso WA, Waseem M, Tanoli MA, Baig F.
europepmc   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Author Correction: Integrating social vulnerability into high-resolution global flood risk mapping. [PDF]

Nat Commun
Fox S, Agyemang F, Hawker L, Neal J.
europepmc   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +1 more source

A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin. [PDF]

Sci Rep
Lu Y, Huang Y, Liu X.
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Enhancing flood risk mitigation by advanced data-driven approach. [PDF]

Heliyon
Chafjiri AS, Gheibi M, Chahkandi B, Eghbalian H, Waclawek S, Fathollahi-Fard AM, Behzadian K.   +6 more
europepmc   +1 more source

Performance assessment of a potential underground thermal storage facility: Case study of the closed mine Prosper‐Haniel in the Ruhr coal mining area in Germany

Deep Underground Science and Engineering, EarlyView.
This study demonstrates the feasibility of an underground closed‐loop thermal storage facility at a post‐mining site, intended for seasonal heat energy storage. Its principal design shows water flow directions in winter and summer (1, 2), heat pumps (3), an upper water reservoir (4), and connecting pipes (5).
Dmytro Rudakov, Oleksandr Inkin
wiley   +1 more source

Chiefs and floods: hybrid governance and co-production of flood risk adaptation in Tamale, Ghana. [PDF]

J Environ Policy Plan
Agyei-Mensah S, Owusu G, Awuni C, Howard B, Fuseini I, Buytaert W, Berkhout F.   +6 more
europepmc   +1 more source

Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment. [PDF]

Sci Rep
Marino M, Baptist MJ, Alkharoubi AIK, Nasca S, Cavallaro L, Foti E, Musumeci RE.   +6 more
europepmc   +1 more source