Zobrazeno 1 - 6
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pro vyhledávání: '"Devanshi Pathak"'
Autor:
Devanshi Pathak, Benoît O. L. Demars
Publikováno v:
Journal of Geophysical Research (JGR): Biogeosciences
e2022JG007245
e2022JG007245
Whole-stream metabolism characterizes energy and carbon transformations, thus providing an estimate of the food base and CO2 emission sources from streams and rivers. Metabolism models are generally implemented with a steady flow assumption that does
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d394eb25916565424351bc28348612bc
https://hdl.handle.net/11250/3063147
https://hdl.handle.net/11250/3063147
Autor:
Devanshi Pathak, Lee E. Brown, David J. E. Nicholls, Mike Hutchins, L.K. Armstrong, M. Loewenthal, Peter Scarlett, Francois Edwards, Michael J. Bowes
Publikováno v:
Water Resources Research. 57
High‐resolution river modeling is valuable to study diurnal scale phytoplankton dynamics and understand biomass response to short‐term, rapid changes in its environmental controls. Based on theory contained in the Quality Evaluation and Simulatio
River phytoplankton provide food for primary consumers, and are a major source of oxygen in many rivers. However, high phytoplankton concentrations can hamper river water quality and ecosystem functioning, making it crucial to predict and prevent har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b5ffea6ae588e418f8bf935f80e91b
https://doi.org/10.5194/egusphere-egu2020-8010
https://doi.org/10.5194/egusphere-egu2020-8010
Publikováno v:
The Science of the total environment.
The present study analyzes the water quality characteristics of the Ramganga (a major tributary of the Ganga river) using long-term (1991-2009) monthly data and applies the Integrated Catchment Model of Nitrogen (INCA-N) and Phosphorus (INCA-P) to th
Autor:
Devanshi Pathak, Michael Hutchins, Lee E. Brown, Matthew Loewenthal, Peter Scarlett, Linda Armstrong, David Nicholls, Mike Bowes, François Edwards, Gareth Old
Publikováno v:
Limnology & Oceanography
High-resolution monitoring of water quality and ecosystem functioning over large spatial scales in expansive lowland river catchments is challenging. Therefore, we need modeling tools to predict these processes at locations where observations are abs