Meighan wetland is located at 8 km far away from Arak city with a population of about 600,000 citizens in the center of Iran. Several agricultural activities and industries such as metal, chemical, and mineral, as well as industrial towns, exist around the desired wetland. This research was conducted to measure the sources of chemical contaminants entering the wetland through natural and artificial waterways, to explore the trend of changes in the contaminants, and to prepare the wetland contamination zone map followed by source detection of these contaminants. Sediment samples were taken during 2019-2020 from a depth of 0-30 cm from 87 points in the input waterways. The results indicated that the mean total concentrations of cadmium, nickel, lead, zinc, copper, and aluminum in sediments were estimated as 6.7, 93.4, 14.1, 276.4, 34.3, and 22,742.7 ppm, respectively. The concentrations of nitrate and phosphate in the sediments were given as 18.6 and 1.8 ppm, respectively. The mean comparison indicated that the most significant level of nickel and lead belonged to the input waterways of industrial and urban regions; the maximum cadmium content was seen in the input waterways from the agricultural lands; and the highest level of zinc and aluminum was recorded in the waterways of agricultural-industrial urban regions. There was a significant relationship between the results of classic statistics and zoning found in GIS. Overall, chemical pollutants with the origin of input wastewater from the treatment plant of wastewater and the input waterways from the industrial and urban regions have had the largest share of contamination for Meighan wetland.
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http://dx.doi.org/10.1007/s10661-023-11120-0 | DOI Listing |
ACS ES T Water
December 2024
Applied Environmental Research Laboratories, Chemistry, Vancouver Island University, Nanaimo V9R 5S5, Canada.
6PPDQ is a tire-derived contaminant toxic to coho salmon (LC = 41-95 ng/L) found widely distributed in urban environments. Most monitoring efforts have relied on relatively few discrete samples collected at select locations across rain events. Early work has revealed that 6PPDQ concentrations vary widely over time and space, raising questions about when and where to collect samples.
View Article and Find Full Text PDFEnviron Pollut
December 2024
Jiangsu Engineering Laboratory for Environment Functional Materials, School of Chemistry and Chemical Engineering, Huaiyin Normal University, Huai'an, 223300, China.
Heliyon
September 2024
Africa Center of Excellence in Future Energies and Electrochemical Systems (ACEFUELS), Federal University of Technology, Owerri, Nigeria.
The widespread proliferation of water hyacinth () in aquatic ecosystems has raised significant ecological, environmental, and socioeconomic concerns globally. These concerns include reduced biodiversity, impeded water transportation and recreational activities, damage to marine infrastructure, and obstructions in power generation dams and irrigation systems. This review critically evaluates the challenges posed by water hyacinth (WH) and investigates potential strategies for converting its biomass into value-added agricultural products, specifically nanonutrients-fortified, biochar-based, green fertilizer.
View Article and Find Full Text PDFJ Environ Qual
November 2024
Kansas Biological Survey-Center for Ecological Research, University of Kansas, Lawrence, Kansas, USA.
Agriculture is necessary for food production, but agricultural inputs of phosphorus (P) to waterways can lead to harmful algal blooms in downstream reservoirs. Some of the P that enters these water bodies can be stored in reservoir sediments and later contribute to internal P loading, supplementing external P loads carried in from rivers. Increased P can lead to harmful algal blooms.
View Article and Find Full Text PDFJ Environ Sci (China)
January 2025
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China; School of Water Resources and Hydropower, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China. Electronic address:
With the increasing severity of arsenic (As) pollution, quantifying the environmental behavior of pollutant based on numerical model has become an important approach to determine the potential impacts and finalize the precise control strategies. Taking the industrial-intensive Jinsha River Basin as typical area, a two-dimensional hydrodynamic water quality model coupled with Soil and Water Assessment Tool (SWAT) model was developed to accurately simulate the watershed-scale distribution and transport of As in the terrestrial and aquatic environment at high spatial and temporal resolution. The effects of hydro-climate change, hydropower station construction and non-point source emissions on As were quantified based on the coupled model.
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