The Mugan Plain is the most productive area in the Republic of Azerbaijan, but a previous study confirmed trace metal and metalloid (TM&M) contamination with Cr, Ni and Pb, and the potential ecological risk of As was estimated. However, no industrial activity was previously reported in this area; thus, a source apportionment model using positive matrix factorization (PMF) was employed to identify pollution sources, and a human health risk assessment was conducted to evaluate noncarcinogenic and carcinogenic risks. Surface soil samples were collected from 349 sites, and six major elements (Si, Ca, Cl, P, S and Sr) and 8 TM&Ms (As, Cd, Cr, Co, Cu, Ni, Pb and Zn) were analyzed by X-ray fluorescence and employed for further apportionment and risk assessment. As a result, the PMF model showed 7 factors, assigned to natural activity (12.9%), dry riverbed (13.6%), surface accumulation (3.1%), desalinization activity (3.2%), residential activity (12.3%), fossil fuel combustion (35.5%) and agricultural activity (19.3%). The PMF model characterized certain areas with desalinization activity in the previous Soviet period and with surface accumulation of salt, and these findings were confirmed by additional field surveys and historical Landsat satellite images. The risk assessment results showed that there was no risk for the adults, while for children, there was a noncarcinogenic risk, but no carcinogenic risk. Dermal contact was estimated to be the primary pathway, and Ni and As were identified as the most problematic TM&Ms for noncarcinogenic and carcinogenic risks, respectively. According to the results, fossil fuel combustion associated with heating and vehicle transportation was estimated to be the main source of pollution, contributing 42.6% of the noncarcinogenic and 48.0% of the carcinogenic risks. These results can provide scientific guidance to understand and prevent the risk of TM&Ms on the Mugan Plain.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.envpol.2021.118058 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.
Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
Effectiveness of cognitive functional therapy (CFT) for chronic spinal pain: a systematic review with meta-analysis.
Pain Med
January 2025
IRCCS IstitutoOrtopedico Galeazzi, Unit of Clinical Epidemiology, Milan, Italy.
Objective: To assess the effectiveness of cognitive functional therapy (CFT) in reducing disability and pain compared to other interventions in chronic spinal pain patients.
Methods: Five databases were queried to October 2023 for retrieving randomized controlled trials (RCTs), including patients with chronic spinal pain and administering CFT. Primary outcomes were disability and pain.
Effectiveness of Traditional Chinese Medicine in Psychological Rehabilitation After Lung Cancer Surgery: Systematic Review and Meta-Analysis protocol.
Integr Cancer Ther
January 2025
Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Background: The incidence and mortality of lung cancer is the highest among malignant tumors worldwide, and it seriously threatens human life and health. Surgery is the primary radical treatment for lung cancer. However, patients often experience discomfort, changes in social roles, economic pressures, and other postsurgical challenges.
View Article and Find Full Text PDFEvaluation of polygenic risk scores for hormones and receptors levels in patients with vestibulodynia: a case-control study.
J Sex Med
January 2025
Clinical Obstetric and Gynecological V Buzzi, ASST-FBF-Sacco, Via Castelvetro 24-20124-University of the Study of Milan, Milan, Italy.
Background: Vulvodynia is a multifactorial disease affecting 7%-16% of reproductive-aged women in general population; however, little is still known about the genetics underlying this complex disease.
Aim: To compare polygenic risk scores for hormones and receptors levels in a case-control study to investigate their role in vulvodynia and their correlation with clinical phenotypes.
Methods: Our case-control study included patients with vestibulodynia (VBD) and healthy women.
Bayesian network for predicting mandibular third molar extraction difficulty.
BMC Oral Health
January 2025
Sub-Institute of Public Safety Standardization, China National Institute of Standardization, No.4 Zhichun Road, Haidian District, Beijing, 100191, PR China.
Background: This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient's personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications.
Methods: Relevant articles were searched to identify risk factors. Clinical knowledge and experience were used to analyse the risk factors to establish the Bayesian network.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!