Results 151 to 160 of about 6,194 (263)

Analysis of lining force transmission coefficient and surrounding rock displacement in lined rock caverns for underground gas storage

Deep Underground Science and Engineering, EarlyView.
This study derives an explicit expression for the lining force transmission coefficient of underground gas storage lined rock caverns (LRCs) via the complex variable function method, considering the displacement release coefficient. Taking the 1‰ tensile strain of surrounding rock as the criterion to determine lining thickness, it systematically ...
Yaohui Li, Jianping Yang, Weizhong Chen
wiley   +1 more source

3D upper crustal structure modelling in southwestern Sicily through multiapproach onshore-offshore data: insight into Sciacca Geothermal Field. [PDF]

Sci Rep
Rizzo GF, Maiorana M, Gasparo Morticelli M, Lo Presti V, Agate M, Sulli A.   +5 more
europepmc   +1 more source

Reusing depleted oil and gas wells for geothermal energy: Feasibility, challenges, and a decision‐making framework for sustainable conversion

Deep Underground Science and Engineering, EarlyView.
The graphical abstract presents a structured decision‐support framework for assessing the feasibility of converting depleted oil and gas wells into geothermal energy systems. The left panel illustrates a comprehensive, multi‐stage decision‐making framework progressing from prefeasibility screening and technical–economic analysis to policy alignment ...
Karolina Bieryt, Yu Pan, Heinz Konietzky, Fei Wang   +3 more
wiley   +1 more source

Analytic solution of a shallow buried tunnel excavated in orthotropic rock mass. [PDF]

Sci Rep
Chen Q, Lei S, Xiao Q, Wang G, Han X.
europepmc   +1 more source

Climatic niche divergence and high‐elevation adaptation promoted rapid diversification of Pimoa spiders in Pan‐Himalaya

Ecography, EarlyView.
The Pan‐Himalayan region harbors exceptional biodiversity, yet the origins and underlying mechanisms driving this remarkable diversity remain poorly understood, especially among species‐rich invertebrates. Pimoa spiders exhibit an intercontinental disjunct distribution across three major mountain regions: the Rockies, the Alps, and the Pan‐Himalaya ...
Xiaoqing Zhang, Zhe Zhao, Bingyue Zhu, Tongyao Jiang, Lili Shao, Stefano Mammola, Jiangni Li, Hao Xu, Bing Li, Shuqiang Li   +9 more
wiley   +1 more source

Delineating the Central Anatolia Transition Zone (CATZ): Constraints from Integrated Geodetic (GNSS/InSAR) and Seismic Data. [PDF]

Sensors (Basel)
Kutoğlu ŞH, Akgün E, Softa M.
europepmc   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang, Rui Li, Chang He, Xinfeng Zhu, Junning Wang, Rongfu Peng, Ho Ngoc Nam, Yanli Mao, Wei Liu, Mingshan Zhu, Yusuke Yamauchi   +10 more
wiley   +1 more source

InSAR analysis reveals insights into the Ms 6.2 earthquake rupture and tectonic dynamics of the northeast margin of the Qinghai‒Tibet plateau. [PDF]

Sci Rep
Sun G, Guo F, Guo X, Li M, Peng B.
europepmc   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Slow slip modulates low-frequency seismicity on the Parkfield segment of the San Andreas Fault. [PDF]

Nat Commun
Zali Z, Martínez-Garzón P, Mencin D, Beroza GC.   +3 more
europepmc   +1 more source