The velocity model is one of the main factors affecting the accuracy of microseismic event localization. This paper addresses the issue of the low accuracy of microseismic event localization in tunnels and, combined with active-source technology, proposes a "source-station" velocity model. The velocity model assumes that the velocity from the source to each station is different, and it can greatly improve the accuracy of the time-difference-of-arrival algorithm. At the same time, for the case of multiple active sources, the MLKNN algorithm was selected as the velocity model selection method through comparative testing. The results of numerical simulation and laboratory tests in the tunnel showed that the average location accuracy of the "source-station" velocity model was improved compared with that of the isotropic velocity and sectional velocity models, with numerical simulation experiments improving accuracy by 79.82% and 57.05% (from 13.28 m and 6.24 m to 2.68 m), and laboratory tests in the tunnel improving accuracy by 89.26% and 76.33% (from 6.61 m and 3.00 m to 0.71 m). The results of the experiments showed that the method proposed in this paper can effectively improve the location accuracy of microseismic events in tunnels.
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http://dx.doi.org/10.3390/s23104670 | DOI Listing |
Ann Neurol
January 2025
Department of Neurology, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Objective: This study assesses whether longitudinal quantitative pupillometry predicts neurological deterioration after large middle cerebral artery (MCA) stroke and determines how early changes are detectable.
Methods: This prospective, single-center observational cohort study included patients with large MCA stroke admitted to Boston Medical Center's intensive care unit (2019-2024). Associations between time-to-neurologic deterioration and quantitative pupillometry, including Neurological Pupil Index (NPi), were assessed using Cox proportional hazards models with time-dependent covariates adjusted for age, sex, and Alberta Stroke Program Early CT Score.
Mar Pollut Bull
January 2025
Ocean Environment Institute, Oceanic Consulting and Trading, Seoul, Republic of Korea.
This study simulated the dispersion of Cs in the North Pacific using a Lagrangian particle model, incorporating basin-wide atmospheric deposition and direct release from the Fukushima accident. Three experiments examined the impact of vertical diffusion and velocity on dispersion behavior. EXP01 and EXP02 assumed zero vertical velocity with different vertical diffusion coefficients (1 × 10 and 2 × 10 m/s, respectively), while EXP03 used a 3-day average vertical velocity and the same diffusion coefficient as EXP01.
View Article and Find Full Text PDFJ Environ Manage
January 2025
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China. Electronic address:
Fish migration patterns are driven by hydrodynamic factors, which are essential in aquatic ecology. This study investigated the hydrodynamic drivers of Gymnocypris przewalskii fish migration in two distinct river reaches-a straight reach (SR) and a confluence reach (CR)- in the area of Qinghai Lake, China, using a 3D numerical model, fish density field data, and four predictive models. Thirteen hydrodynamic factors, with a focus on water depth and velocity, were analyzed to identify their influence on fish migration.
View Article and Find Full Text PDFObjective: The oxidative balance score (OBS) has emerged as a novel marker for assessing oxidative stress status. This study aimed to investigate the association of OBS with systolic blood pressure (SBP), diastolic blood pressure (DBP), all-cause, and cardiovascular disease mortality in hypertensive patients.
Methods: We conducted an analysis of data from 7602 hypertensive patients from the National Health and Nutrition Examination Survey (NHANES) 2005-2018.
Alzheimers Dement
January 2025
Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Introduction: To examine the longitudinal association between estimated pulse wave velocity (ePWV) and cognitive phenotypes in a rural Chinese older population.
Methods: This population-based study included 1857 dementia-free participants (age ≥60 years) who were examined in 2014 and followed in 2018. ePWV was calculated using age and mean blood pressure (MBP).
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