Work

Estimating drivers and pathways for hydroelectric reservoir methane emissions using a new mechanistic model (estimated methane emissions for hydropower reservoir surfaces and potential dam emissions)

Year: 2021

Type: dataset

Abstract: Methane emissions data from hydropower reservoir surfaces and dams, as estimated with the ResME model. Emissions estimates available for hydropower reservoirs in the GRanD database (Lehner et al., 2011). References: Lehner, B., Liermann, C. Reidy, Revenga, C., Vörösmarty, C., Fekete, B., Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., Rodel, R., Sindorf, N., and Wisser, D. (2011). High-resolution mapping of the world’s reservoirs and dams for sustainable river-flow management. Frontiers in Ecology and the Environment, 9 (9): 494-502. https://doi.org/10.1890/100125.

Source: Figshare

DOI: 10.5281/zenodo.4730936

Authors: Delwiche, Kyle, Harrison, John A., Maasakkers, Joannes D., Sulprizio, Melissa P., Worden, John, Jacob, Daniel J., Sunderland, Elsie M.

Institutions: Stanford University, Washington State University Vancouver, Space Research Organisation Netherlands, Harvard University, California Institute of Technology, Jet Propulsion Laboratory

Language: English

Topic: Atmospheric and Environmental Gas Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Clean water and sanitation

Open Access status: green

OpenAlex ID: W4393922154

Cites:

Cited by: 1

Related to: 10