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During clarification processes of raw water, a vast amount of by-product known as "drinking water-treatment residuals" (WTRs) are produced, being principally composed of hydroxides of the Al or Fe salts added during water treatment plus the impurities they remove. Aluminum-based (Al-WTR) and iron-based (Fe-WTR) materials were applied at 10% w/w to degraded, bare (unvegetated) soils from a restored coal mining site in central England (pH <3.9) to study their potential amelioration effects on earthworm mortality, biomass yield of seedling plants, and element concentrations in plant tissues, earthworm tissues, and soil solutions. A separate treatment with agricultural lime was also conducted for comparison to evaluate whether any observed improvements were attributable to the liming capacity of the WTRs. After completion of the trials, all samples were subjected to a wet-dry cycle, and the experiments were repeated (i.e., simulating longer-term effects in the field). Both types of WTRs significantly increased the biomass of plants, and in some treatments, survival of earthworms was also enhanced compared to nonamended soils. Excess plant tissue element concentrations and element concentrations in soil solutions were reduced in amended soils. The implications are that adding WTRs to mining-impacted soils is a potentially viable, sustainable, and low-cost remediation method that could be used globally to improve the soil condition. Environ Toxicol Chem 2020;39:1277-1291. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.
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http://dx.doi.org/10.1002/etc.4706 | DOI Listing |
Sci Total Environ
August 2025
University of Sheffield, Sheffield S1 3JD, UK. Electronic address:
Cryptosporidium is a waterborne pathogen which poses a major challenge to water utilities because of its resistance to chlorination and its infectivity at very low concentrations. The ability to make predictions of Cryptosporidium concentrations in rivers would aid significantly in abstraction-based risk management of water resources, but current models are inappropriate for making predictions at the temporal resolutions required to inform abstraction decision-making. This study utilises Cryptosporidium data collected over 7 years at a major river abstraction site in South East England, alongside publicly-available remote sensing data, to train a Bagging-XGBoost model for Cryptosporidium predictive applications at daily timescales.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2023
School of Environmental Natural Sciences, Bangor University, Bangor, LL57 2UW, Gwynedd, UK.
Wastewater-based epidemiology (WBE) has been commonly used for monitoring SARS-CoV-2 outbreaks. As sampling times and methods (i.e.
View Article and Find Full Text PDFJ Pharm Biomed Anal
September 2023
Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool L7 8TX, UK.
Brain
December 2022
Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.
Disease-modifying treatments are currently being trialled in multiple system atrophy. Approaches based solely on clinical measures are challenged by heterogeneity of phenotype and pathogenic complexity. Neurofilament light chain protein has been explored as a reliable biomarker in several neurodegenerative disorders but data on multiple system atrophy have been limited.
View Article and Find Full Text PDFJ Environ Manage
June 2022
Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK.
Accessible sediment provenance information is highly desirable for guiding targeted interventions for reducing excess diffuse agricultural sediment losses to water. Conventional sediment source fingerprinting methods can provide this information, but at high cost, thereby limiting their widespread application for catchment management. The use of sediment colour measured using an office document scanner represents an easy, fast, and inexpensive alternative method to trace sediment sources.
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