We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Influence of land use class and configuration on water-sediment partitioning of heavy metals
Summary
Researchers analyzed how land use patterns and population density influence the partitioning of heavy metals between river water and sediment, finding that agricultural land discharges the highest dissolved metal fractions and that fragmenting anthropogenic land into smaller patches reduces water-column metal pollution.
Influence of land use and population characteristics on solid-liquid partitioning of heavy metals in aquatic ecosystems is little understood. This study hypothesised that the partitioning of heavy metals (Cd, Cr, Cu, Ni, Pb and Zn) between water and sediments is influenced by different land use classes, their configuration patterns including patch density, Shannon's diversity index, largest patch index, and splitting index and population density. Relationships between variables were investigated from different distances to the stream network (sub-catchment and riparian scales) and considering land use patterns within individual land use classes and individual sub-catchments as a whole (class and landscape levels, respectively). The study outcomes confirmed that the influence of land use and configuration on metals partitioning is scale independent. However, population density increases metal bioavailability at the riparian scale compared to the sub-catchment scale. Agricultural lands discharge the highest fractions of dissolved metals at both spatial scales (eigenvectors = 0.409 - sub-catchment, and -0.533 - riparian, whilst metals have opposite loadings). Positive relationships between splitting index and metal partitioning confirmed that the division of anthropogenic land uses into smaller patches reduces water pollution. However, high fragmentation of forested areas increases the fraction of soluble metals. Further, high patch density and patch diversity are beneficial for controlling the solubility of some metals. Configuration metrics at the landscape level fundamentally reproduce the patterns of the largest land use type and are not effective for assessing metal partitioning. Therefore, analyses at the class level are preferred. This research investigation contributes essential knowledge to improve land use management strategies and, thereby, help safeguard urban waterways.
Sign in to start a discussion.
More Papers Like This
Partitioning of heavy metals in sediments and microplastics from stormwater runoff
Researchers studied how heavy metals distribute between sediment particles and microplastics in stormwater runoff. UV-weathered microplastics absorbed significantly more heavy metals than new plastic, competing with sediments for metal uptake. This matters because microplastics in stormwater can transport concentrated heavy metals from urban areas into rivers and lakes, creating a combined pollution problem.
Microplastic pollution in sophisticated urban river systems: Combined influence of land-use types and physicochemical characteristics
This study assessed microplastic pollution across an urban river network in China, finding that land-use type and water physicochemical properties jointly influence microplastic distribution, with industrial and residential areas contributing highest loads.
Influence of microplastics on nutrients and metal concentrations in river sediments
Researchers investigated how microplastics influence nutrient and metal concentrations in river sediments, finding that microplastics alter the distribution of pollutants through their capacity to adsorb contaminants and support biofilm formation on their hydrophobic surfaces.
Abundance, Distribution and Drivers of Microplastic Contaminant in Urban River Environments
Researchers surveyed microplastic distribution in urban river environments and identified key drivers of accumulation hotspots, finding that land use, hydrology, and infrastructure factors concentrated microplastics at predictable locations that could inform targeted management interventions.
Spatial Persistence of Water Chemistry Patterns Across Flow Conditions in a Mesoscale Agricultural Catchment
This study found that spatial patterns in river water chemistry remain consistent across different flow conditions in an agricultural watershed. Persistent spatial patterns in pollution distribution could help predict where microplastics and other contaminants concentrate in river systems.