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The Science of the Total Environment|December 17, 2020
Identifying the sources of nitrate contamination using a combined dual isotope, chemical and Bayesian model approach in a tropical agricultural river: Case study in the Mun River, ThailandXiao-Long Liu, Guilin Han, Jie Zeng, et al.
The Science of the Total Environment|November 28, 2020
Colloid-facilitated transport of 238Pu, 233U and 137Cs through fractured chalk: Laboratory experiments, modelling, and implications for nuclear waste disposalEmily Tran, Mavrik Zavrin, Annie B Kersting, et al.
The Science of the Total Environment|November 28, 2020
Chromophoric dissolved organic matter in inland waters: Present knowledge and future challengesYunlin Zhang, Lei Zhou, Yongqiang Zhou, et al.
The Science of the Total Environment|November 28, 2020
Drivers of carbon stocks in forest edges across EuropeCamille Meeussen, Sanne Govaert, Thomas Vanneste, et al.
The Science of the Total Environment|October 28, 2020
Global environmental and nutritional assessment of national food supply patterns: Insights from a data envelopment analysis approachElysia Lucas, Ángel Galán-Martín, Carlos Pozo, et al.
The Science of the Total Environment|October 28, 2020
A review of the impacts of four identified major human disturbances on the habitat and habitat use of wild giant pandas from 2015 to 2020Dongwei Kang
The Science of the Total Environment|October 29, 2020
In-situ lipid and fatty acid extraction methods to recover viable products from Nannochloropsis spBrian Brennan, Fiona Regan
The Science of the Total Environment|October 29, 2020
Transcriptomics and metabolomics reveal Ca2+ overload and osmotic imbalance-induced neurotoxicity in earthworms (Eisenia fetida) under tri-n-butyl phosphate exposureXiaofeng Jiang, Yang Yang, Peng Liu, et al.
The Science of the Total Environment|October 29, 2020
Population growth and climate change: Addressing the overlooked threat multiplierJenna C Dodson, Patrícia Dérer, Philip Cafaro, et al.
The Science of the Total Environment|October 29, 2020
Modeling regional-scale groundwater arsenic hazard in the transboundary Ganges River Delta, India and Bangladesh: Infusing physically-based model with machine learningMadhumita Chakraborty, Soumyajit Sarkar, Abhijit Mukherjee, et al.
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