FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2973427870> ?p ?o ?g. }

• W2973427870 endingPage "3542" @default.
• W2973427870 startingPage "3527" @default.
• W2973427870 abstract "Abstract. The Belo Monte hydropower complex located in the Xingu River is the largest run-of-the-river (ROR) hydroelectric system in the world and has one of the highest energy production capacities among dams. Its construction received significant media attention due to its potential social and environmental impacts. It is composed of two ROR reservoirs: the Xingu Reservoir (XR) in the Xingu's main branch and the Intermediate Reservoir (IR), an artificial reservoir fed by waters diverted from the Xingu River with longer water residence time compared to XR. We aimed to evaluate spatiotemporal variations in CO2 partial pressure (pCO2) and CO2 fluxes (FCO2) during the first 2 years after the Xingu River impoundment under the hypothesis that each reservoir has contrasting FCO2 and pCO2 as vegetation clearing reduces flooded area emissions. Time of the year had a significant influence on pCO2 with the highest average values observed during the high-water season. Spatial heterogeneity throughout the entire study area was observed for pCO2 during both low- and high-water seasons. FCO2, on the other hand, only showed significant spatial heterogeneity during the high-water period. FCO2 (0.90±0.47 and 1.08±0.62 µmol m2 d−1 for XR and IR, respectively) and pCO2 (1647±698 and 1676±323 µatm for XR and IR, respectively) measured during the high-water season were on the same order of magnitude as previous observations in other Amazonian clearwater rivers unaffected by impoundment during the same season. In contrast, during the low-water season FCO2 (0.69±0.28 and 7.32±4.07 µmol m2 d−1 for XR and IR, respectively) and pCO2 (839±646 and 1797±354 µatm for XR and IR, respectively) in IR were an order of magnitude higher than literature FCO2 observations in clearwater rivers with naturally flowing waters. When CO2 emissions are compared between reservoirs, IR emissions were 90 % higher than values from the XR during low-water season, reinforcing the clear influence of reservoir characteristics on CO2 emissions. Based on our observations in the Belo Monte hydropower complex, CO2 emissions from ROR reservoirs to the atmosphere are in the range of natural Amazonian rivers. However, the associated reservoir (IR) may exceed natural river emission rates due to the preimpounding vegetation influence. Since many reservoirs are still planned to be constructed in the Amazon and throughout the world, it is critical to evaluate the implications of reservoir traits on FCO2 over their entire life cycle in order to improve estimates of CO2 emissions per kilowatt for hydropower projects planned for tropical rivers." @default.
• W2973427870 created "2019-09-26" @default.
• W2973427870 creator A5001348132 @default.
• W2973427870 creator A5018075708 @default.
• W2973427870 creator A5044634344 @default.
• W2973427870 creator A5046111222 @default.
• W2973427870 creator A5055249308 @default.
• W2973427870 creator A5057708670 @default.
• W2973427870 creator A5059499305 @default.
• W2973427870 creator A5066319703 @default.
• W2973427870 date "2019-09-18" @default.
• W2973427870 modified "2023-10-17" @default.
• W2973427870 title "Carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;) concentrations and emission in the newly constructed Belo Monte hydropower complex in the Xingu River, Amazonia" @default.
• W2973427870 cites W1776877885 @default.
• W2973427870 cites W1946369382 @default.
• W2973427870 cites W1965331678 @default.
• W2973427870 cites W1970626027 @default.
• W2973427870 cites W1973324926 @default.
• W2973427870 cites W1974696143 @default.
• W2973427870 cites W1978484408 @default.
• W2973427870 cites W1983153018 @default.
• W2973427870 cites W1988305373 @default.
• W2973427870 cites W2010181898 @default.
• W2973427870 cites W2011563303 @default.
• W2973427870 cites W2020955234 @default.
• W2973427870 cites W2033355897 @default.
• W2973427870 cites W2034248308 @default.
• W2973427870 cites W2034985054 @default.
• W2973427870 cites W2035340129 @default.
• W2973427870 cites W2041151913 @default.
• W2973427870 cites W2043211416 @default.
• W2973427870 cites W2043788785 @default.
• W2973427870 cites W2046107196 @default.
• W2973427870 cites W2052822800 @default.
• W2973427870 cites W2053672437 @default.
• W2973427870 cites W2061559183 @default.
• W2973427870 cites W2071612694 @default.
• W2973427870 cites W2078860594 @default.
• W2973427870 cites W2080200865 @default.
• W2973427870 cites W2094300388 @default.
• W2973427870 cites W2100468073 @default.
• W2973427870 cites W2101767284 @default.
• W2973427870 cites W2111317694 @default.
• W2973427870 cites W2117438222 @default.
• W2973427870 cites W2118589319 @default.
• W2973427870 cites W2122981715 @default.
• W2973427870 cites W2137734568 @default.
• W2973427870 cites W2161949143 @default.
• W2973427870 cites W219539029 @default.
• W2973427870 cites W2219947191 @default.
• W2973427870 cites W2227598340 @default.
• W2973427870 cites W2289289566 @default.
• W2973427870 cites W2395879580 @default.
• W2973427870 cites W2463766576 @default.
• W2973427870 cites W2464329271 @default.
• W2973427870 cites W2581097476 @default.
• W2973427870 cites W2587490616 @default.
• W2973427870 cites W2594642654 @default.
• W2973427870 cites W2601291078 @default.
• W2973427870 cites W2603094708 @default.
• W2973427870 cites W2774628490 @default.
• W2973427870 cites W2775605057 @default.
• W2973427870 cites W2777498045 @default.
• W2973427870 cites W2793815266 @default.
• W2973427870 cites W4230240682 @default.
• W2973427870 cites W4242702784 @default.
• W2973427870 cites W4250391486 @default.
• W2973427870 doi "https://doi.org/10.5194/bg-16-3527-2019" @default.
• W2973427870 hasPublicationYear "2019" @default.
• W2973427870 type Work @default.
• W2973427870 sameAs 2973427870 @default.
• W2973427870 citedByCount "11" @default.
• W2973427870 countsByYear W29734278702019 @default.
• W2973427870 countsByYear W29734278702020 @default.
• W2973427870 countsByYear W29734278702021 @default.
• W2973427870 countsByYear W29734278702022 @default.
• W2973427870 countsByYear W29734278702023 @default.
• W2973427870 crossrefType "journal-article" @default.
• W2973427870 hasAuthorship W2973427870A5001348132 @default.
• W2973427870 hasAuthorship W2973427870A5018075708 @default.
• W2973427870 hasAuthorship W2973427870A5044634344 @default.
• W2973427870 hasAuthorship W2973427870A5046111222 @default.
• W2973427870 hasAuthorship W2973427870A5055249308 @default.
• W2973427870 hasAuthorship W2973427870A5057708670 @default.
• W2973427870 hasAuthorship W2973427870A5059499305 @default.
• W2973427870 hasAuthorship W2973427870A5066319703 @default.
• W2973427870 hasBestOaLocation W29734278701 @default.
• W2973427870 hasConcept C127313418 @default.
• W2973427870 hasConcept C187320778 @default.
• W2973427870 hasConcept C18903297 @default.
• W2973427870 hasConcept C39432304 @default.
• W2973427870 hasConcept C40675005 @default.
• W2973427870 hasConcept C535291247 @default.
• W2973427870 hasConcept C76886044 @default.
• W2973427870 hasConcept C86803240 @default.
• W2973427870 hasConcept C92311004 @default.
• W2973427870 hasConcept C9777977 @default.
• W2973427870 hasConceptScore W2973427870C127313418 @default.

• next