To analyze the surface cumulative mass of VOCs from residual sources in dual-media fractured rocks and assess environmental health risks, complex 3D numerical models were constructed. These models comprehensively considered fracture-rock interactions, density-driven effects, and surface pressure fluctuations. The investigation identified the key control factors affecting surface cumulative mass, including the fracture aperture, pollutant source location, fracture density, and so on. Additionally, a regression-based general surrogate model was established using the obtained representative dataset. According to U.S. EPA's Respiratory Inhalation Reference Concentrations, the cumulative mass of CHClCHCl in one day for one-third of the model exceeds the concentration limit. Benzene and TCE concentrations reached 29 and 740 times the reference limits, significantly impacting air quality and health. Surrogate model analysis showed that in the worst-case scenario, 1 min's surface cumulative mass could cause Benzene concentrations to exceed the limit by 57 times. The implications of the study lies in reminding us that even after groundwater remediation in the saturated zone, residual VOCs in the capillary zones can still significantly impact surface environmental health risks. This investigation also presents an effective framework that integrates complex, time-consuming numerical modeling with simple, efficient statistical modeling to predict concerned variables and their uncertainties. This study provides a reference basis for the control of environmental pollution pertaining to VOCs volatilization from buried capillary zones at specific depths.
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http://dx.doi.org/10.1016/j.envpol.2024.124820 | DOI Listing |
BMJ Open
December 2024
School of Nutrition, Federal University of Bahia, Salvador, Brazil.
MethodsX
June 2025
Statistics Study Program, Department of Mathematics, Faculty of Mathematics and Natural Sciences, Mulawarman University, Indonesia.
The Weibull regression model is a regression model derived from the Weibull distribution, where the Weibull distribution is influenced by covariates. In this study, parameter estimation for the Weibull regression model was conducted using the Maximum Likelihood (ML) estimation. The aim of the study is to develop a Weibull regression model based on the hospitalization time of stroke patients at Abdul Wahab Sjahranie Hospital, Samarinda, during the period of 2021-2022, and to identify the factors affecting it.
View Article and Find Full Text PDFClin Gastroenterol Hepatol
January 2025
Inflammatory Bowel Disease Center, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville FL. Electronic address:
Description: The aim of this American Gastroenterological Association (AGA) Clinical Practice Update (CPU) is to provide best practice advice (BPA) statements for gastroenterologists and other health care providers who provide care to patients with inflammatory bowel disease (IBD). The focus is on IBD-specific screenings (excluding colorectal cancer screening, which is discussed separately) and vaccinations. We provide guidance to ensure that patients are up to date with the disease-specific cancer screenings, vaccinations, as well as advice for mental health and general wellbeing.
View Article and Find Full Text PDFBackground: Mass disasters, whether natural or human-made, pose significant public health challenges, with some individuals demonstrating resilience, whereas others experience persistent emotional distress that may meet diagnostic criteria for mental health disorders. We explored key risk factors for distress following the October 7, 2023, Hamas attacks on Israel, focusing on trauma exposure, gender, and event centrality.
Method: A longitudinal study design was used, assessing posttraumatic distress (PTSD), depression, generalized anxiety, event centrality, and functioning at approximately three (T1; n=858) and seven (T2, n=509) months post-attack.
Ecotoxicol Environ Saf
January 2025
Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, PR China.
Organophosphate flame retardants (OPFRs) are a class of substances that pose potential risks to human health and ecosystems due to their large-scale production, wide range of applications, and ubiquitous presence in the environment. With their potential for long-range atmospheric transport (LRAT), OPFR pollution in high-altitude areas has become an increasing concern. Herein, a general pretreatment method for OPFRs across various sample matrices was established and combined with gas chromatography-mass spectrometry (GC-MS), utilizing a programmed temperature ramp in the vaporization chamber to enable high-throughput detection of OPFRs in various environmental matrices.
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