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Morag Hunter, D. H. Nimalika Perera, Eustace P. G. Barnes, Hugo V. Lepage, Elias Escobedo-Pacheco, Noorhayati Idros, David Arvidsson-Shukur, Peter J. Newton, Luis de los Santos Valladares, Patrick A. Byrne and Crispin H. W. Barnes
The expansion of copper mining on the hyper-arid pacific slope of Southern Peru has precipitated growing concern for scarce water resources in the region. Located in the headwaters of the Torata river, in the department of Moquegua, the Cuajone mine, own...
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Yang Liu and Qianqian Zhang
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and...
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Jiawei Liu, Chang Yang, Si Chen, Yangshuang Wang, Xingjun Zhang, Wulue Kang, Junyi Li, Ying Wang, Qili Hu and Xingcheng Yuan
Elucidating the hydrogeochemical processes and quality assessment of groundwater holds significant importance for its sustainable development. In this paper, 53 groundwater samples were collected from a typical agricultural area in the northeastern Chong...
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Maria Margarita Ntona, Konstantinos Chalikakis, Gianluigi Busico, Micòl Mastrocicco, Kyriaki Kalaitzidou and Nerantzis Kazakis
Groundwater monitoring is critically important, even though it is costly and often neglected. In this study, a judgmental monitoring of groundwater offering solutions based on a cost and time-effective research approach is presented. The method was perfo...
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Elisabetta Prezzi, Dario Donno, Maria Gabriella Mellano, Gabriele Loris Beccaro and Giovanni Gamba
The present work, based on a multivariate approach, may represent a rapid, effective, and low-cost tool, preliminary to genetic analysis, for the assessment of the traceability and quality of Castanea spp. nuts with no information on their origin.
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