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Temporal Variation And Influencing Factors Of CO2 Flux In Typical Aquaculture Ponds In The Yangtze River Delt

Posted on:2023-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:J ShiFull Text:PDF
GTID:2553306758963979Subject:Applied Meteorology
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As an important source of CO2 emission,aquaculture ponds have been included in the IPCC’s estimated list of greenhouse gases.China is the largest freshwater aquaculture country in the world.Aquaculture ponds account for 52%of the total freshwater aquaculture area in China.Therefore,to clarify the temporal variations and impact factors of CO2 flux in the aquaculture pond can provide an important basis for the accurate estimation of China’s fishery,agricultural CO2 emissions and formulate CO2 emission reduction measures.In this study,a typical aquaculture pond in Guandu Village,Quanjiao County,Anhui province was chosed,which located in the Yangtze River Delta,a key aquaculture region in China.Based on eddy covariance observations and quantitative evaluation of spatial representation of flux data by using footprint model(FFP),the temporal variations and impact factors of CO2flux in the aquaculture pond were clarified.The main results are as follows:(1)Spatial representation of aquaculture pond CO2 fluxIn different seasons and atmospheric stability conditions from 2016 to 2019,the aquaculture pond flux signal was not affected by ecosystems outside the aquaculture pond.The flux contribution weight of the target aquaculture pond was more than 80%and 64%respectively in upwind and non-upwind direction.Except for the non-upwind wind direction in the spring of 2017 and 2018,the maximum flux contribution location was in pond water surface area.Under different atmospheric stability conditions,the flux contribution weight of the target aquaculture pond water surface was more than 72%.The maximum flux contribution location was in the aquaculture pond water surface area under stable,unstable and neutral atmospheric conditions.Therefore,it is considered that the CO2 flux measured by eddy covariance method mainly come from the water surface of the target aquaculture pond.(2)Temporal variations of CO2 flux in aquaculture pondOn the daily scale,the diurnal variation of CO2 flux in aquaculture pond in spring,summer and autumn is significant.The CO2 flux reached the peak absorption,-0.043,-0.062 and-0.015mg·m-2·s-1 in a day from 12:30 to 18:00 in spring,summer and autumn,respectively.The mean daytime and night CO2 flux of the whole year were-0.019 and 0.017 mg·m-2·s-1,respectively;On the seasonal scale,spring and winter aquaculture pond are weak sinks of CO2.The CO2flux was-0.0032 and-0.0056 mg·m-2·s-1,respectively,in spring and winter.The aquaculture pond were the source of CO2 in summer and autumn.The CO2 emission in summer was weaker than that in autumn,and the CO2 flux was 0.0089 and 0.065 mg·m-2·s-1,respectively,in summer and autumn.On the inter-annual scale,the total annual CO2 flux of the aquaculture pond from 2016to 2019 were-925.98,-393.14,2913.42 and 3946.96 kg·ha-1,respectively.Based on the four years observation,the aquaculture pond were the source of CO2.The averaged total annual CO2flux for the four years is 1385.32 kg·ha-1·a-1.(3)Impact factors of CO2 flux in aquaculture pondOn half-hour scale and daily scale,air temperature,water temperature and solar radiation are the main influencing factors.On the half-hour scale,the CO2 absorption increased with the increase of air temperature,water temperature and solar radiation in spring,summer and autumn.Thus,the CO2 flux decreased significantly.In winter,CO2emissions increased with temperature increase.On the daily scale,with the increase of air temperature and water temperature,both CO2 absorption and emission flux increased significantly.The CO2 emission flux decreased significantly with solar radiation flux density increase.On the monthly scale,NDVI(Normalized Differential Vegetation Index)is the main influencing factor.The CO2absorption flux increased with NDVI.On the inter-annual scale,human management in the aquaculture pond were the main influencing factors.In the crayfish-fish polyculture model,a large number of aquatic plants were artificially planted,which enhance CO2 absorption.However,the increase of feed supply enhanced CO2 emission.
Keywords/Search Tags:aquaculture pond, eddy covariance, CO2 flux, temporal variations, impact factors
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