We propose a method for monitoring heavy metal deposition in the vicinity of roads using the leaf surfaces of two expansive grass species which are greatly abundant. A principle of the proposed procedure is to minimize the number of operations in collecting and preparing samples for analysis. The monitored elements are extracted from the leaf surfaces using dilute nitric acid directly in the sample-collection bottle. The ensuing steps, then, are only to filter the extraction solution and the elemental analysis itself. The verification results indicate that the selected grasses Calamagrostis epigejos and Arrhenatherum elatius are well suited to the proposed procedure. Selected heavy metals (Zn, Cu, Pb, Ni, Cr, and Cd) in concentrations appropriate for direct determination using methods of elemental analysis can be extracted from the surface of leaves of these species collected in the vicinity of roads with medium traffic loads. Comparing the two species showed that each had a different relationship between the amounts of deposited heavy metals and distance from the road. This disparity can be explained by specific morphological properties of the two species' leaf surfaces. Due to the abundant occurrence of the two species and the method's general simplicity and ready availability, we regard the proposed approach to constitute a broadly usable and repeatable one for producing reproducible results.
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http://dx.doi.org/10.1016/j.envpol.2017.05.069 | DOI Listing |
Zool Stud
April 2024
Department of Biochemistry and Biotechnology, Institute of Biological Sciences, Maria Curie-Skłodowska University, Akademicka 19, 20-033 Lublin, Poland. E-mail: (J. Polak).
The rapid expansion of road networks worldwide is one of the most serious threats to biodiversity conservation. Evaluating the effects of various anthropogenic factors on the distribution and abundance of birds in subtropical and tropical ecosystems is extremely important in the context of the dynamic developments that these areas have been subject to in recent years. This study assessed the impact of road traffic on the abundance and species richness of roadside birds on the subtropical island of Tenerife.
View Article and Find Full Text PDFEnviron Sci Atmos
September 2024
Department of Occupational and Environmental Health, College of Public Health, University of Iowa USA
Particulate matter (PM) emitted from unpaved rural roads presents a potential inhalation hazard to people living and working near them. In the absence of site-specific exposure data, plume dispersion modeling can be used to predict ambient particulate concentrations in the vicinity of the unpaved roads. Hourly averaged PM concentrations were measured near a gravel road using an EPA reference method resulting in a geometric mean of 50 μg m.
View Article and Find Full Text PDFJ Environ Manage
September 2024
Department of Natural Resources, Isfahan University of Technology, Isfahan, 84156-83111, Iran. Electronic address:
The development and expansion of road networks pose considerable threats to natural habitats and wildlife, fostering a landscape of fear. In addition to direct mortality caused by road collisions, road construction and maintenance often result in habitat fragmentation and loss, impeding animal movement and gene flow between populations. Mountain ungulates are already confined to fragmented habitat patches and roads can cause substantial disturbances to their critical ecological processes, such as dispersal and migration.
View Article and Find Full Text PDFEnviron Health Insights
June 2024
Environmental Management and Crop Production Unit, College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria.
Investigation on human perspective on the impacts of quarry activities on the natural environment remains limited. This study gauged residents' perceptions of the ecological consequences of quarry operations. A meticulously structured questionnaire was dispensed among 214 households, chosen at random, in the vicinity of Sanlong Quarry within Obaagun community, Ifelodun Local Government Area, Osun State, Nigeria.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
February 2024
Ministry of Education Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Nanchang 330022, China.
Pine wood nematode (PWN) disease is one of the major disasters in forests of southern China, causing substantial forest resources and ecological and economic losses. Based on field surveys and WFV image data from the GF-1 satellite, we constructed a spatial identification model of PWN disease with the random forest model to explore the relative influences of topography, human activities and stand factors on the occurrence of diseases and predict their spatial distribution. We then used the spatial autocorrelation analysis to assess the distribution characteristics of PWN disease at the regional scale.
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