University of Padua

Heterogeneity matters: aggregation bias of reach-wise gas transfer velocity vs. energy dissipation rate relationships - DATASET

Botter, Gianluca and Peruzzo, Paolo and Durighetto, Nicola (2021) Heterogeneity matters: aggregation bias of reach-wise gas transfer velocity vs. energy dissipation rate relationships - DATASET. [Data Collection]

Collection description

This dataset contains slope data for more than 200 reaches of the stream network of the Rio Valfredda (Veneto, Italy), originally used to estimate the aggregation bias of gas transfer velocity when estimated at the reach scale.

DOI: 10.25430/researchdata.cab.unipd.it.00000487
Keywords: Headwater stream, Reaeration, gas exchange, greenhouse gas emission, CO2 evasion, scaling, aggregation bias, energy dissipation rate
Subjects: Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Physical geography
Physical:Sciences and Engineering > Earth System Science: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management > Hydrology, water and soil pollution
Department: Departments > Dipartimento di Ingegneria civile, edile e ambientale (ICEA)
Depositing User: Nicola Durighetto
Date Deposited: 11 May 2021 08:05
Last Modified: 11 May 2021 08:06
Creators/Authors:
CreatorsEmailORCID
Botter, Gianlucagianluca.botter@unipd.itorcid.org/0000-0003-0576-8847
Peruzzo, Paolopaolo.peruzzo@dicea.unipd.itorcid.org/0000-0002-6712-9197
Durighetto, Nicolanicola.durighetto@phd.unipd.itorcid.org/0000-0002-6081-1580
Type of data: Database
Research funder: European Research Council
Research project title: DyNET - dynamical river networks: climatic controls and biogeochemical function
Grant number: 770999
Collection period:
FromTo
1 October 2018UNSPECIFIED
Data collection method: LiDAR survey
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 10 May 2021
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/487

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