Greenhouse gas emission characteristics from urban rivers in Shanghai

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Abstract

The floating chamber and diffusive models were used to investigate the differences of greenhouse gas (N2O, CH4 and CO2) fluxes between an urban river (Suzhou River) and a suburban river (Dianpu River) in Shanghai during April, July and October in 2013 and January in 2014.The influence of environmental variables on greenhouse gas emissions under the disturbance of anthropogenic activities was also discussed. The results demonstrated that the two rivers were main sources of N2O, CH4 and CO2. N2O and CH4 fluxes from the urban river were one to two magnitudes higher than those from the suburban river. CO2 fluxes from the two rivers were at the same magnitude. Estimated annual N2O, CO2 and CH4 fluxes by the diffusive model were 15.88, 6748.27 and 84.98 μmol/(m2�h) in Suzhou River, and 0.61, 2978.98 and 9.61 μmol/(m2�h) in Dianpu River. Estimated annual N2O, CO2 and CH4 fluxes by the floating chamber method were 15.77, 4041.61 and 6721.08 μmol/(m2�h) in Suzhou River, and 0.60, 1214.77 and 59.58 μmol/(m2�h) in Dianpu River. Significant correlations between dissolved oxygen, nitrate, ammonium and N2O fluxes indicated that the enrichment of dissolved inorganic nitrogen and depletion of oxygen might enhance microbial denitrification, resulting in high N2O fluxes from the urban river. At the same time, high emissions of CH4 occurred in hypoxia conditions in the urban river. Water temperature greatly controlled CO2 fluxes, probably through stimulating the microbial activities of CO2 production. The difference between floating chamber and diffusive model fluxes of CH4 indicated that the nitrogen-rich and oxygen-deficit conditions in urban river were favorable for bubble events, which could enhance CH4 emission.

Original languageEnglish
Pages (from-to)1375-1381
Number of pages7
JournalResearch of Environmental Sciences
Volume28
Issue number9
DOIs
StatePublished - 1 Sep 2015
Externally publishedYes

Keywords

  • Flux
  • Greenhouse gas
  • Shanghai
  • Urban river

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