Pre- and Post-Flood Retention Efficiency of Nitrogen in a Sonoran Desert Stream

Autor: Martí, Eugènia, Grimm, Nancy B., Fisher, Stuart G.

Publikováno v: Journal of the North American Benthological Society, 1997 Dec 01. 16(4), 805-819.

Externí odkaz: https://www.jstor.org/stable/1468173

Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis

Autor: Il Won Seo, Sung Hyun Jung, Donghae Baek, Siyoon Kwon, Hyoseob Noh

Publikováno v: International Journal of Environmental Research and Public Health, Vol 18, Iss 1023, p 1023 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 3

To minimize the damage from contaminant accidents in rivers, early identification of the contaminant source is crucial. Thus, in this study, a framework combining Machine Learning (ML) and the Transient Storage zone Model (TSM) was developed to predi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c3ccabc3e14e347af096b225f30c370
https://doi.org/10.3390/ijerph18031023

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Development of a methodology for the application of synthetic DNA in stream tracer injection experiments

Publikováno v: Water Resources Research, 49 (9), 2013.

Stream tracer injection experiments are useful for characterizing hydrological and biogeochemical processes in streams. We used nonconservative synthetic DNA and conservative NaCl in six instantaneous tracer injection experiments in streams in the Be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::a01581fc5821625fe7385029f3cbe060
http://resolver.tudelft.nl/uuid:45c7c7a0-dbaf-471f-9f81-576e789507ab

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