Large greenhouse gases emissions from China's lakes and reservoirs

Li, Siyue; Bush, Richard T; Santos, Isaac R.; Zhang, Quanfa; Song, Kaishan; Mao, Rong; Wen, Zhidan; Lu, Xixi

doi:10.1016/j.watres.2018.09.053

Cited by 210 publications

(87 citation statements)

References 52 publications

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“…The crucial aquatic factors were similar for CH 4 and CO 2 , with WT, DO, and Alk being recognized as key factors, which is in agreement with previous studies [20,23,26]. Chl-a was shown to have little effect on GHG emissions, which differs from previous research [14,20]. Having noticed that Chl-a also showed strong correlations with WT, DO, COD Mn , pH, and Alk, the weak impact that was observed might be the result of complex interactions amongst the different factors.…”

Section: Resultssupporting

confidence: 92%

“…SO 4 2− would also impact the nitrogen cycle [51], which may be another reason for the significant correlation among the three GHGs. The crucial aquatic factors were similar for CH 4 and CO 2 , with WT, DO, and Alk being recognized as key factors, which is in agreement with previous studies [20,23,26]. Chl-a was shown to have little effect on GHG emissions, which differs from previous research [14,20].…”

Section: Resultssupporting

confidence: 89%

“…In this paper, the observation data of CO2, CH4, and N2O in this bay ( Figure 1 shows the observation site) are analyzed using 14 aquatic factors, including inorganic nitrogen (nitrate, NO3 − -N; ammonia, NH4 + -N; and nitrite, NO2 − -N), phosphorus (phosphate, PO4 3− ; dissolved total phosphorus (dTP)), the response of nutrients (chlorophyll A ,Chl-a), physical indices of water (water temperature (WT); water depth (WD); and Secchi depth (SD)) and other chemical factors (dissolved oxygen (DO); sulfate, SO4 2− ; O2 demand (CODMn); pH; and alkalinity, Alk). The data were sampled once per month from January 2004 to December 2004, and all data have been previously published [20,36].…”

Section: Data Sourcesmentioning

confidence: 99%

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Recognizing Crucial Aquatic Factors Influencing Greenhouse Gas Emissions in the Eutrophication Zone of Taihu Lake, China

Wang

Cheng

et al. 2019

Sustainability

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Greenhouse gas (GHG) emissions, which are closely related to climate change and serious ecological instability, have attracted global attention. The estimation of crucial aquatic factors for the flux of GHGs in lakes is a key step in controlling and reducing GHG emissions. The importance of 14 aquatic factors for GHG emissions was estimated in Meiliang Bay, which is an eutrophication shallow bay in Taihu Lake in eastern China. The random forest (RF) method, which is an improved version of the classified and regression tree (CART) model, was employed. No distribution assumption on variables was required in this method and it could include nonlinear actions and interactions among factors. The results show significant positive correlations among the fluxes of CO2, CH4, and N2O. The most crucial factor influencing CO2 emissions is the water temperature (WT) followed by sulfate (SO42−), alkalinity (Alk), dissolved oxygen (DO), and nitrate (NO3−–N). The important factors for CH4 emissions are WT, SO42−, DO, Alk, and NO2−–N. The outcome for N2O, in which the key factor is NO2−–N, was slightly different from those of CO2 and CH4. A comprehensive ranking index (CRI) for the fluxes of all three GHGs was also calculated and showed that WT, NO2−–N, SO42−, DO, and Alk are the most crucial aquatic factors. These results indicate that increasing DO might be the most effective means of controlling GHG emissions in eutrophication lake bays. The role of SO42− in GHG emissions, which has previously been ignored, is also worth paying attention to. This study provides a useful basis for controlling GHG emissions in eutrophication shallow lake bays.

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Section: Resultssupporting

confidence: 92%

Section: Resultssupporting

confidence: 89%

Section: Data Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Recognizing Crucial Aquatic Factors Influencing Greenhouse Gas Emissions in the Eutrophication Zone of Taihu Lake, China

Wang

Cheng

et al. 2019

Sustainability

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“…The recent synthesis by Deemer et al () included flux measurements from 161 reservoirs for CH 4 , 229 for CO 2 , and just 58 for N 2 O. Tropical (Guerin et al, ; Naqvi et al, ), subtropical (Chen, Yuan, et al, ; Yuan, et al, ; Li et al, ; Zhao et al, ; Zhu et al, ), temperate (Beaulieu et al, ; Deemer et al, ; Li et al, ; Tomaszek & Czerwieniec, ), and boreal (Huttunen et al, ) reservoirs that have been measured indicate that they are also sources for N 2 O. N 2 O has 298 times the global warming potential of CO 2 on a per molar basis in the atmosphere over a 100‐year time scale, making it an important addition to measurements of reservoir greenhouse gas emissions (IPCC, ; Myhre et al, ).…”

Section: Introductionmentioning

confidence: 99%

Magnitudes and Drivers of Greenhouse Gas Fluxes in Floodplain Ponds During Drawdown and Inundation by the Three Gorges Reservoir

Miller

Chen

et al. 2019

JGR Biogeosciences

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Hydropower reservoirs are well-known emitters of greenhouse gases to the atmosphere. This is due in part to seasonal water level fluctuations that transfer terrestrial C and N from floodplains to reservoirs. Partial pressures and fluxes of the greenhouse gases CH 4 , CO 2 , and N 2 O are also a function of in situ biological C and N cycling and overall ecosystem metabolism, which varies on a diel basis within inland waters. Thus, greenhouse gas emissions in hydropower reservoirs likely vary over seasonal and diel time scales with local hydrology and ecosystem metabolism. China's Three Gorges Reservoir is among the largest and newest in the world, with a floodplain that encompasses approximately one third of the reservoir area. We measured diel partial pressures and fluxes of greenhouse gases in ponds on the Three Gorges Floodplain. We repeated these measurements on the submerged floodplain following inundation by the Three Gorges Reservoir. During reservoir drawdown, CH 4 ebullition comprised 60-68% of emissions from floodplain ponds to the atmosphere. Using linear mixed effects modeling, we show that partial pressures of CH 4 and CO 2 and diffusive CO 2 fluxes in floodplain ponds varied on a diel basis with in situ respiration. Floodplain inundation by the Three Gorges Reservoir significantly moderated areal CH 4 diffusion and ebullition. Diel pCO 2 , pCH 4 , pN 2 O, and diffusive fluxes of CO 2 on the submerged floodplain were also driven by in situ respiration. The drawdown/inundation cycle of the Three Gorges Reservoir therefore changes the magnitudes of aquatic greenhouse gas fluxes on its floodplain.

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“…For example, reservoirs have significant impacts on hydrological characteristics (Ming et al, ), and rivers controlled by reservoirs may decrease the trend in flood peak discharges and interannual variability (Lajoie, Assani, Roy, & Mesfoui, ). At present, China has the largest number (more than 98,000 in 2016) of reservoirs in the world, and one of the main functions of these reservoirs is to regulate and store river water and prevent floods (S. Li et al, ). Many studies have shown that the existence of reservoirs can reduce the risk of downstream flood in China (S. Gao et al, ; Q. Zhang, Gu, Singh, Xiao, & Chen, ).…”

Section: Discussionmentioning

confidence: 99%

Assessing urban flood and drought risks under climate change, China

Chen

Yuan

et al. 2019

Hydrological Processes

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Risk analysis of urban flood and drought can provide useful guidance for urban rainwater management. Based on an analysis of urban climate characteristics in 2,264 Chinese cities from 1958 to 2017, this study evaluated urban flood and drought risks. The results demonstrated that the annual average values of precipitation, aridity index, frequency and intensity of extreme precipitation and extreme drought events differed significantly in these cities. The values of the above six climatic indicators in the cities ranged from 9.29–2639.30 mm, 0.47–54.73, 1.08–8.79 time, 7.82–107.25 mm, 0.76–2.99 time, and 10.30–131.19 days, respectively. The geographical patterns of urban precipitation, aridity index, intensity and frequency of extreme precipitation and drought events in China fit well to the Hu‐Huanyong Line that was created in 1940s to identify the pattern of population distribution. Extreme precipitation in most cities has upward trends, except for those around the Hu‐Huanyong Line. The extreme drought events had upward trends in the cities east of the Hu‐Huanyong Line, but there were downward trends in the cities west of the line. The risk assessment indicated that 3.80% cities were facing serious flood and 6.01% cities were facing serious drought risks, which are located in the coast of southern China and northwestern China, respectively, and other 90.19% cities were facing different types of drought and flood risks in terms of their intensity and frequency.

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Large greenhouse gases emissions from China's lakes and reservoirs

Cited by 210 publications

References 52 publications

Recognizing Crucial Aquatic Factors Influencing Greenhouse Gas Emissions in the Eutrophication Zone of Taihu Lake, China

Recognizing Crucial Aquatic Factors Influencing Greenhouse Gas Emissions in the Eutrophication Zone of Taihu Lake, China

Magnitudes and Drivers of Greenhouse Gas Fluxes in Floodplain Ponds During Drawdown and Inundation by the Three Gorges Reservoir

Assessing urban flood and drought risks under climate change, China

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