Results 191 to 200 of about 103,399 (298)

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

Assessment of social vulnerability to floods in the Samin watershed, Indonesia. [PDF]

Jamba
Suryanto S, Sholeh S, Utomowati R, Hidayat A.   +3 more
europepmc   +1 more source

Flood hazard prediction and risk assessment for flood-resistant regional development

The Japanese Journal of Real Estate Sciences, 2022
openaire   +1 more source

An assessment of weather-related risks in Europe [PDF]

, 2009
Bindi, M., Heidema, N., Hengeveld, G.M., Hochrainer, S., Lavalle, C., Lugeri, N., Maat, H.W., ter, Moriondo, M., Schelhaas, M.J.   +8 more
core  

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

Digital Technologies and Machine Learning in Environmental Hazard Monitoring: A Synthesis of Evidence for Floods, Air Pollution, Earthquakes, and Fires. [PDF]

Sensors (Basel)
Wilk-Jakubowski JL, Kuchcinski A, Wilk-Jakubowski GK, Palej A, Pawlik L.   +4 more
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

Assessing sustained high-heat multi-hazard events through earth observation and impact chain analysis in southeast UK. [PDF]

iScience
Mills E, Smith K, Winson A, Bateson L, Ciurean R.   +4 more
europepmc   +1 more source

State and Local Responses to Climate Change through Hazard Adaptation Measures: White Paper Synthesizing Innovative State and Local Climate Change Adaptation Strategies [PDF]

, 2012
Marine Affairs Institute, Roger Williams University School of Law
core   +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