Greenhouse gases emission from the sewage draining rivers

Hu, Beibei; Wang, Dongqi; Jun, Zhou; Wang, Meng; Li, Chongwei; Sun, Zongbin; Guo, Xueping; Wang, Zhongliang

doi:10.1016/j.scitotenv.2017.08.055

Cited by 75 publications

(27 citation statements)

References 48 publications

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“…Meanwhile, heterotrophic denitrification, an important pathway of N 2 O production in sediments, is favored under low DO and high nitrate (N‐NO 3 − ) concentrations (Dalsgaard et al, 2014; Xia et al, 2018). As a result, large spatial variations of N 2 O fluxes have been reported in various aquatic ecosystems, including rivers (B. Hu et al, 2018; Rajkumar et al, 2008; Tan, 2014), reservoirs (Guérin et al, 2008; Musenze et al, 2014; X. F. Wang, He, et al, 2017), and lakes (Y. S. Liu et al, 2011; H. J. Wang et al, 2006; S. L. Wang et al, 2009) with various N loading and oxygen level. Notably, the availability of N substrates has been found to play an important role in governing the spatial variability of N 2 O fluxes within lakes in the subtropical and Antarctic regions (Y. S. Liu et al, 2011; H. J. Wang et al, 2006; S. L. Wang et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

et al. 2020

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While aquaculture ponds are potentially important sources of atmospheric N 2 O, the magnitude and variability of N 2 O concentrations and fluxes both within and across the ponds remain poorly understood. In this study, we examined the small-scale spatial variations of dissolved N 2 O concentrations in water and N 2 O fluxes across the water-air interface from three mariculture ponds in a subtropical estuary in southeast China. Our results showed that the dissolved concentrations and diffusive fluxes of N 2 O in the shrimp ponds ranged between 2.3-19.2 nM and 16.4-589.7 nmol m −2 hr −1 , respectively, over the culture period. Significant variations of N 2 O concentrations and fluxes were observed within the ponds, with higher values being observed in the aeration area that could be attributed to the high rates of nitrification in the water column, as well as sediment N 2 O production and diffusive flux into the overlying water. Also, N 2 O concentrations and fluxes varied significantly among the three ponds as a result of the difference in N-NO 3 − and N-NH 4 + concentrations in the water column. The large fine-scale spatial variations of N 2 O concentrations and fluxes observed in our aquaculture ponds suggested that management practices such as aeration and bait feeding could largely affect the extent that aquaculture activities have on N 2 O emissions and climate change through their influence on the physicochemical environment (e.g., oxygen and N-NH 4 + concentrations) of the ponds.

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Section: Discussionmentioning

confidence: 99%

Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

et al. 2020

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“…In addition, some studies found that the seasonal variation of CH 4 could be governed by the changes in DO concentrations in aquatic systems (Holgerson, ; Hu et al, ; Zhao et al, ). Generally, when DO concentration is low in water, the methanogenic (anaerobic bacteria) activity increases and the CH 4 oxidation capacity declines, which leads to the increase in sediment CH 4 production and subsequent emission (Hu et al, ; Ivanov et al, ). According to the AIC‐based model selection, CH 4 emission fluxes were best predicted by a negative relationship with DO (Table ), indicating that DO level also plays a major role in influencing the temporal variation in CH 4 emissions from the aquaculture ponds in subtropical estuaries.…”

Section: Discussionmentioning

confidence: 99%

“…Most of these studies have related the seasonal patterns of CH 4 with variation in temperature (e.g., Borges, et al, 2017; Natchimuthu et al, ; Sierra et al, ; Xiao et al, ; Yang et al, ; Zhao et al, ), particularly the increase in sediment CH 4 production rates in response to the increasing temperature (Vizza et al, ; Yang et al, ; Yvon‐Durocher et al, ). In addition, some studies found that the seasonal variation of CH 4 could be governed by the changes in DO concentrations in aquatic systems (Holgerson, ; Hu et al, ; Zhao et al, ). Generally, when DO concentration is low in water, the methanogenic (anaerobic bacteria) activity increases and the CH 4 oxidation capacity declines, which leads to the increase in sediment CH 4 production and subsequent emission (Hu et al, ; Ivanov et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…Markedly temporal variations in CH 4 concentration/flux have been reported in lakes (Natchimuthu et al, 2016;Xiao et al, 2017), rivers (Borges et al, 2018;Zhao et al, 2013), shallow ponds (Holgerson, 2015;Yang et al, 2018), and coastal and continental shelf zones (e.g., Borges et al, 2018;Cunada et al, 2018;Gülzow et al, 2014;Jakobs et al, 2014;Sierra et al, 2017). Most of these studies have related the seasonal patterns of CH 4 with variation in temperature (e.g., Borges, et al, 2017;Natchimuthu et al, 2016;Sierra et al, 2017;Xiao et al, 2017;Yang et al, 2018;Zhao et al, 2013), particularly the increase in sediment CH 4 production rates in response to the increasing temperature ( In addition, some studies found that the seasonal variation of CH 4 could be governed by the changes in DO concentrations in aquatic systems (Holgerson, 2015;Hu et al, 2018;Zhao et al, 2013). Generally, when DO concentration is low in water, the methanogenic (anaerobic bacteria) activity increases and the CH 4 oxidation capacity declines, which leads to the increase in sediment CH 4 production and subsequent emission Ivanov et al, 2002).…”

Section: Factors Influencing the Temporal Variations Of Ch 4 Fluxmentioning

confidence: 99%

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Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

et al. 2019

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Mariculture shrimp ponds are important CH4 sources to the atmosphere. However, the spatiotemporal variations of CH4 concentration and flux at fine spatial scales in mariculture ponds are poorly known, particularly in China, worlds largest aquaculture producer. In this study, the plot‐scale spatiotemporal variations of water CH4 concentration and flux, both within and among ponds, were researched in shrimp ponds in Shanyutan wetland, Min River Estuary, Southeast China. The average water CH4 concentration and diffusion flux across the water‐air interface in the shrimp ponds over the shrimp aquaculture period varied from 2.29 ± 0.29 to 50.48 ± 20.91 μM and from 0.09 ± 0.01 to 2.32 ± 0.95 mmol·m−2·hr−1, respectively. The CH4 emissions from the estuarine ponds varied greatly between seasons, with peaks in August and September, which was similar to the trend of water temperature and dissolved oxygen concentrations. There was no remarkable difference in CH4 concentration and flux between shrimp ponds but significantly spatiotemporal differences in CH4 concentration and flux within the ponds. Significantly higher emissions occurred in the feeding zone, accounting for approximately 60% of total CH4 emission flux, while much lower CH4 emissions appeared in aeration zone, contributing 14% to total flux. This study suggests the importance of considering spatiotemporal variation in the whole‐pond estimates of CH4 concentration and flux. In light of such high spatial variation within ponds, improving aeration and feed utilization efficiency would help to mitigate CH4 emissions from mariculture ponds.

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“…In Brisbane estuary, N 2 O dominated GHG emissions in terms of CO 2 equivalents (64%) with water-air flux of 0.1-3.4 mg N 2 O m −2 d −1 [18]. Field studies by Hu et al [19] indicated that sewage draining into rivers of Tianjin city, China contributed to high N 2 O emissions, which are about 1.13-3.12 times compared to those in the natural rivers. Control of N 2 O emissions from rivers and estuaries may be possible by complete removal of the nitrogen in wastewater received by various domestic sewage treatment plants (STPs).…”

Section: Introductionmentioning

confidence: 99%

Managing Municipal Wastewater Treatment to Control Nitrous Oxide Emissions from Tidal Rivers

Akella

Bhallamudi

2019

Water

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Waste load allocation management models were developed for controlling nitrous oxide emissions from a tidal river. The decision variables were treatment levels at wastewater discharging stations and the rate of upstream water release. The simulation model for N2O emissions from the river was embedded in the optimization model and the problem was solved using the simulated annealing technique. In two of the models, the total cost was minimized, while in the third model, emissions from the river were minimized for a specified constraint on the available money. Proof-of-concept studies, with hypothetical scenarios for contaminant loading but realistic flow conditions corresponding to the Tyne River, UK, were carried out. It was found that the treatment cost could be reduced by 36% by treating wastewater discharges in the upper reaches more during the high tide as compared to during low tide. For the same level of N2O emissions, approximately 16.7% lesser costs could be achieved by not only treating the wastewater but also inducing dilution by releasing more water from the upstream side. It was also found that beyond a limit, N2O emissions cannot be reduced significantly by spending more money on treatment and water release.

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Greenhouse gases emission from the sewage draining rivers

Cited by 75 publications

References 48 publications

Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

Managing Municipal Wastewater Treatment to Control Nitrous Oxide Emissions from Tidal Rivers

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Greenhouse gases emission from the sewage draining rivers

Cited by 75 publications

References 48 publications

Spatial Variations of N2O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Spatial Variations of N2O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Large Fine‐Scale Spatiotemporal Variations of CH4 Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

Managing Municipal Wastewater Treatment to Control Nitrous Oxide Emissions from Tidal Rivers

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Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Spatial Variations of N₂O Fluxes Across the Water‐Air Interface of Mariculture Ponds in a Subtropical Estuary in Southeast China

Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China