2012
DOI: 10.1007/s00027-012-0256-5
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Greenhouse gas emissions (CO2, CH4, and N2O) from several perialpine and alpine hydropower reservoirs by diffusion and loss in turbines

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Cited by 65 publications
(50 citation statements)
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References 61 publications
(64 reference statements)
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“…Table 9 shows the GHG fluxes from this study and other studies. Compared with CO 2 and CH 4 fluxes from natural wetlands, which are affected minimally by human activities, we observed that CO 2 fluxes recorded from heavily polluted sites (1#, 2#, 4#, and 6# sites) with higher concentration of TN and COD Mn in our study were greater [23], while CO 2 fluxes from less polluted sites were close to the reported values in dystrophic lakes [23], 5 mesotrophiceutrophic Netherlands lakes [37], and reservoirs [40,42]. The CO 2 fluxes with lush lotus in this study were close to the aquaculture pond [18,39], and lower than those from the wetlands with vegetation (e.g., T. chinensis, Suaeda salsa, and S. alterniflora.…”
Section: Comparison Of Ghg Fluxes Between This Study Andsupporting
confidence: 76%
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“…Table 9 shows the GHG fluxes from this study and other studies. Compared with CO 2 and CH 4 fluxes from natural wetlands, which are affected minimally by human activities, we observed that CO 2 fluxes recorded from heavily polluted sites (1#, 2#, 4#, and 6# sites) with higher concentration of TN and COD Mn in our study were greater [23], while CO 2 fluxes from less polluted sites were close to the reported values in dystrophic lakes [23], 5 mesotrophiceutrophic Netherlands lakes [37], and reservoirs [40,42]. The CO 2 fluxes with lush lotus in this study were close to the aquaculture pond [18,39], and lower than those from the wetlands with vegetation (e.g., T. chinensis, Suaeda salsa, and S. alterniflora.…”
Section: Comparison Of Ghg Fluxes Between This Study Andsupporting
confidence: 76%
“…in Yellow River estuary [18]; water chestnut in oxbow Lake, Italy [25]; Spartina alterniflora in Bay of Fundy, Canada [38]); the differences in vegetation may be the main reason. CH 4 fluxes from heavy pollution sites (1#, 2#, 5#, and 8# sites) in our study were close to the Poyang Lake [35], Yangtze River estuary [36], 5 Netherlands lakes [37], the Bay of Fundy [38], and the Shrimp pond of Min River estuary [39] and were greater than those from natural wetlands and less polluted lakes, such as 11 North America lakes [11], Polegar Lake [22], Yellow River estuary wetlands [18], Sparkling Lake [23], 30 boreal lakes [41], reservoirs [40,42], and less polluted sites (3#, 4#-6#, 7#, 9#, and 10# site) in this study. The heavily polluted sites in our study are significantly influenced by human activities (such as the introduction of domestic sewage and surface rain runoff, water diversion from Shangyuanmen (1.0 × 10 5 t/d) and Daqiao drink water treatment plant (8 × 10 4 t/d) into lake, tourist entertainment and rubbish in lake park, and water treatment project with higher aquatic plants); therefore nutrient substance content and physicochemical property of these sites will be different from natural water bodies (field lakes, reservoirs), which can lead to differences in GHG emissions [49].…”
Section: Comparison Of Ghg Fluxes Between This Study Andmentioning
confidence: 99%
“…Therefore, GHG emissions from aquatic ecosystems have been studied widely in recent years because of their contribution to global warming . At present, research on GHG emissions from aquatic ecosystems is focused on inland freshwaters, including natural lakes (Huttunen et al, 2003;Xing et al, 2005), rivers (Aufdenkampe et al, 2011;Clough et al, 2011), ditches (Schrier-Uijl et al, 2011) and reservoirs (Soumis et al, 2004;Diem et al, 2012). These reports suggested that the magnitude and pattern of spatiotemporal variations in GHG emission are influenced by weather, water thermal regime, nutrient content, hydrodynamic condition and biological activity (Zhu et al, 2010;Palma-Silva et al, 2013;Natchimuthu et al, 2014).…”
Section: Introductionmentioning
confidence: 97%
“…Neglecting the spatial variability in CO 2 emission from reservoirs may lead to more than 25% error in estimation for tropical reservoirs (Roland et al, 2010). Moreover, CO 2 emission was also found to be variable depending on the season of the year due to the variations in temperature (Xing et al, 2005;Wang et al, 2011;Diem et al, 2012). CO 2 emission from reservoir surfaces was often reported to be influenced by temperature.…”
Section: Introductionmentioning
confidence: 99%