
Crowdsourcing Power Plant Carbon Dioxide Emissions Data
Author(s) -
Gurney Kevin,
O'Keeffe Darragh
Publication year - 2013
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1002/2013eo430001
Subject(s) - crowdsourcing , greenhouse gas , carbon dioxide , environmental economics , environmental science , power station , quality (philosophy) , state (computer science) , natural resource economics , business , computer science , environmental resource management , engineering , economics , world wide web , chemistry , ecology , electrical engineering , organic chemistry , philosophy , epistemology , algorithm , biology
Information on greenhouse gas emissions from the world's power plants is surprisingly limited. Publicly available information such as exact location, fuel, and carbon dioxide (CO2) emissions varies in comprehensiveness and quality from country to country. A research group at Arizona State University (ASU) is attempting to solve this problem by leveraging crowdsourcing.