2018
DOI: 10.1007/s00027-018-0609-9
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Methane dynamics in a large river: a case study of the Elbe River

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Cited by 24 publications
(21 citation statements)
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“…A significant negative correlation between pCH 4 with DO concentrations (r = −0.63) clearly showed the effect of population pressure and pollution on the riverine ecosystem. Our results are in good agreement with the study of Matousu et al (2019), which also showed higher pCH 4 concentrations in human-altered riverine habitats and in more stagnant river segments [44]. The correlation between DO and pCH 4 concentrations is not as pronounced on the Tamil Nadu plain due to the low variability in values and the high outliers of CH 4 concentrations at Stations 13, 22, and 23.…”
Section: Links Between Greenhouse Gases and Water Quality And Their Connection To Urbanizationsupporting
confidence: 91%
“…A significant negative correlation between pCH 4 with DO concentrations (r = −0.63) clearly showed the effect of population pressure and pollution on the riverine ecosystem. Our results are in good agreement with the study of Matousu et al (2019), which also showed higher pCH 4 concentrations in human-altered riverine habitats and in more stagnant river segments [44]. The correlation between DO and pCH 4 concentrations is not as pronounced on the Tamil Nadu plain due to the low variability in values and the high outliers of CH 4 concentrations at Stations 13, 22, and 23.…”
Section: Links Between Greenhouse Gases and Water Quality And Their Connection To Urbanizationsupporting
confidence: 91%
“…Therefore, riverine CH 4 in very wet and very dry conditions was likely to be greater than in the normal weather and thus higher CH 4 flux from the river to the atmosphere would have occurred. ally under 40% of the CH 4 pool and was usually between 0 and 20%, which may partly be due to methanotrophy in the water column (de Angelis & Scranton, 1993;Matoušů et al, 2018;Sawakuchi et al, 2016). Microbial methane oxidization can consume CH 4 and enrich 13 C in the remaining CH 4 pool, resulting in a decrease in [CH 4 ] and concurrent increase of δ 13 C-CH 4 .…”
Section: Riverine Ch 4 Magnitude Sources and Dynamicsmentioning
confidence: 99%
“…δ 13 C-CH4 in all water samples showed obvious temporal and spatial variations, and maximum values were found before and under the two dams. Lower In freshwaters, a large fraction of CH4 in the aquatic food network exists as a carbon source which was oxidized by bacteria, can reduce CH4 entering the water by diffusion (Jones and Grey, 2011;Taipale et al, 2011;Frossard et al, 2015;Sawakuchi et al, 2016;Matoušů et al, 2019;Thottathil et al, 2019;Saarela et al, 2020), which may change CH4 dynamics in water. Previous studies reported that the methane oxidizing bacteria (MOB) can survive at oxic-anoxic interfaces in freshwater systems, and CH4 oxidation was frequently found in environments with high CH4 and DO concentrations (Bagnoud et al, 2020;Reis et al, 2020;Bai et al, 2021 (Whiticar and Faber, 1986;Conrad, 1999;Bastviken et al, 2002;Lima, 2005).…”
Section: Spatial and Temporal Variations In Ch4 And Co2 Concentrations δ 13 C-ch4mentioning
confidence: 99%