Results 141 to 150 of about 9,012 (266)

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

Sediments as Potential Sources of Non-Cyanobacterial Diazotrophs in Arctic Sea Ice and Seawater. [PDF]

Environ Microbiol Rep
Bo H, Zhang Z, Fujiwara A, Fukai Y, Ito M, Kimura S, Oggier M, Waga H, Whitmore L, Hamasaki K, Shiozaki T.   +10 more
europepmc   +1 more source

High atmospheric pressure rescues plant growth under humidity stress: A model for climate‐resilient deep underground agriculture

Deep Underground Science and Engineering, EarlyView.
High atmospheric pressure (120 kPa) in deep underground counteracts humidity‐induced physiological stress in plants, stabilizing water balance and enhancing antioxidative defenses. This synergy boosts biomass despite elevated humidity, demonstrating sustainable deep underground agriculture potential under climate uncertainty.
Yuxin He, Linglu Xu, Xiao Tan, Wenhua Zhuang, Naiwen Li, Chao Liu, Bo Tan   +6 more
wiley   +1 more source

PAHs in Sediments from Amazon Mangrove and Oyster Farming Areas: Sources, Ecological Risks and Potential Toxicity. [PDF]

Bull Environ Contam Toxicol
Brandão CCL, Sousa TR, Lee JT, Ferreira-Griz JA, Sampaio DS, Carmo AMC, Zanardi-Lamardo E, Kawakami SK.   +7 more
europepmc   +1 more source

Upper bound limit analysis of coral reef limestone cavern roof stability incorporating a tension‐shear failure mechanism with tensile‐strength cut‐off

Deep Underground Science and Engineering, EarlyView.
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley   +1 more source

Subsurface microbiology and the pressing societal need to support future exploration. [PDF]

FEMS Microbiol Ecol
Sheik CS, Steen AD, Reese BK, Wang DT, Osburn MR, Cantner KA, Kieft TL, Colwell FS, Spear JR, Toner BM.   +9 more
europepmc   +1 more source

Rock mechanical properties under reconstructed deep in situ thermo–hydro–mechanical conditions: Implications for CO₂‐related injection scenarios

Deep Underground Science and Engineering, EarlyView.
The graphical abstract illustrates a reconstructed in situ thermo‐hydro‐mechanical (THM) framework in which porosity serves as the central variable linking stress, pore pressure, and temperature to evolving mechanical properties of rocks. Under burial conditions, in situ stress, pore pressure, and temperature jointly govern volumetric strain and ...
Mingyuan Lu, Jun Wang, Zixiong Qi, Ruixuan Chen, Hongtao Wang, Hongwei Zhou   +5 more
wiley   +1 more source

Estimating historic seabed carbon disturbance by port dredging and aggregate extraction in NW Europe. [PDF]

PLoS One
Maynard E, Roseby ZA, Scourse JD, Ward SL, Roberts C, Thurstan RH, McLaverty C.   +6 more
europepmc   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Machine learning-based paleobathymetric reconstructions using archaeal lipid biomarkers. [PDF]

Sci Adv
Zhou J, Kang D, Chen S, Dong L.
europepmc   +1 more source