Results 171 to 180 of about 6,154 (304)

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams

open access: yesEnergy Science &Engineering, EarlyView.
A comparative study was conducted on gas desorption laws of raw and tectonic coals. The sensitivity of regional and local outburst prediction indexes was compared. Gas content is more sensitive than gas pressure for composite coal seams. K1 can more accurately predict the outburst danger than Δh2 $\Delta {h}_{2}$ in composite coal seams.
Haijun Guo   +4 more
wiley   +1 more source

Increasing atmospheric evaporative demand across the Tibetan plateau and implications for surface water resources. [PDF]

open access: yesiScience
Xu S   +9 more
europepmc   +1 more source

Direct and Spatial Effects of Carbon Emission Trading System on Carbon Emissions in the Logistics Sector—Evidence From the Yangtze River Economic Belt in China

open access: yesEnergy Science &Engineering, EarlyView.
(1) A theoretical framework for examining the impact of the CETS on carbon emissions in the LS of the YREB is developed based on Porter's hypothesis and synergy theory. (2) Assessing the Effects of a CETS through DID Modeling. (3) The spatial correlation of carbon emissions within the LS is examined through the development of a SDM.
Zhaoyang Zhao, Chong Ye, Jing Huang
wiley   +1 more source

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