Integrated assessment of heavy metal pollution in the great bačka canal: Comparing active and passive sampling methods.

Chemosphere

University of Novi Sad, Faculty of Sciences, Department of Chemistry, Biochemistry and Environmental Protection, Trg Dositeja Obradovica 3, 21000, Novi Sad, Serbia.

Published: December 2024

This study investigates the environmental risks posed by heavy metals in sediment from the Great Bačka Canal using both active and passive sampling methods. The necessity of this research lies in the critical need to address sediment contamination in ecological hotspots and enhance sediment management practices. Active sampling revealed total heavy metal concentrations, while sequential extraction showed bioavailability varied across metal fractions. Passive sampling with SPeeper™ quantified freely dissolved metal concentrations in sediment pore water, identifying zinc (41 μg/L) as the most bioavailable metal. Risk indices, including I (geo-accumulation index) and IWCTU (interstitial water criteria toxic units), revealed low to moderate contamination levels. Although copper content classified the sediment as extremely polluted (195.7 mg/kg), its low bioavailability (16 μg/L in pore water) mitigates immediate ecological risks. These findings emphasize the importance of integrating passive sampling in regulatory frameworks for a realistic environmental risk assessment of sediments.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.chemosphere.2024.144027DOI Listing

Publication Analysis

Top Keywords

passive sampling
16
heavy metal
8
great bačka
8
bačka canal
8
active passive
8
sampling methods
8
metal concentrations
8
pore water
8
metal
5
sampling
5

Similar Publications

Cholinergic urticaria (CholU) is characterized by itching and/or stinging, painful micro wheals due to systemic heating. There are two standardized protocols to diagnose CholU using an exercise bike with heart rate or warming passive. The objective is to provide an affordable, new, low-tech test to assist the diagnostic.

View Article and Find Full Text PDF

Sudden unexpected deaths in infancy (SUDI) is defined as the unexpected death of an infant in the first year of life, including explained and unexplained death (SIDS). Risk factors, such as sleeping position and passive smoking, have been identified but few studies have addressed the influence of exposure to chemicals in the environment. Pesticides are ubiquitous but little is known about their impact on infant mortality.

View Article and Find Full Text PDF

Near-miss traffic risk estimation using Extreme Value Theory (EVT) models within a real-time framework offers a promising alternative to traditional historical crash-based methods. However, current approaches often lack comprehensive analysis that integrates diverse roadway geometries, crash patterns, and two-dimensional (2D) vehicle dynamics, limiting both their accuracy and generalizability. This study addresses these gaps by employing a high-fidelity, 2D time-to-collision (TTC) near-miss indicator derived from autonomous vehicle (AV) sensor data.

View Article and Find Full Text PDF

Subslab soil gas (SSSG) samples were collected as part of an investigation to evaluate vapor intrusion (VI) into a building. The June 2015 Office of Solid Waste and Emergency Response (OSWER) VI Guide (U.S.

View Article and Find Full Text PDF

Machine learning in healthcare citizen science: A scoping review.

Int J Med Inform

December 2024

Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA. Electronic address:

Objectives: This scoping review aims to clarify the definition and trajectory of citizen-led scientific research (so-called citizen science) within the healthcare domain, examine the degree of integration of machine learning (ML) and the participation levels of citizen scientists in health-related projects.

Materials And Methods: In January and September 2024 we conducted a comprehensive search in PubMed, Scopus, Web of Science, and EBSCOhost platform for peer-reviewed publications that combine citizen science and machine learning (ML) in healthcare. Articles were excluded if citizens were merely passive data providers or if only professional scientists were involved.

View Article and Find Full Text PDF

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!