Font Size: a A A

The Characteristics And Causes Of N2O Flux Observed With Tall-tower Eddy Covariance Over A Typical Agricultural Landscape In The Yangtze River Delta

Posted on:2022-12-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y H XieFull Text:PDF
GTID:1480306758963899Subject:Applied Meteorology
Abstract/Summary:PDF Full Text Request
Agriculture is known to be the largest anthropogenic source of atmospheric N2O.Derterming the N2O emission and its influencing factors over a heterogenous agricultural landscape,including croplands,rivers,ditches,aquaculture ponds and other ecosystems,can reduce the uncertainty of regional N2O budgets and provide important scientific basis for regional greenhouse gas emission reduction policy formulation.In this study,we reported the results of an experiment on the N2O flux in a typical landscape(radius:15 km,area:707 km2)dominated by rice cultivation in the Yangtze River Delta,China.The observation was made with a closed-path eddy covariance(EC)system on a 70-m tall tower from October 2018 to December2021(39 months).The quality of flux data observed with the closed-path EC system on the tall tower was evaluated.The temporal variations of N2O flux were clarified.Meanwhile,the N2O emission and regional emission factor were calculated in the typical agricultural landscape.Furthermore,the influencing factors of N2O flux were also analyzed at multiple time scales.The major results were as follows:(1)Quality assessment of the closed-path EC dataThe lag time that determined with the covariance maximization method for the closed-path system was 7.4±0.1 s.Based on the typical co-spectra,The N2O co-spectrum was noisier than those of temperature and CO2,and appeared to be lower than the modelled value for normalized frequency greater than 3.The frequency correction by the Eddy Pro software increased the N2O flux by 9%on average.The observation data of the closed-path EC system agreed well with those of the parallel systems,indicating that the closed-path EC system achieved a high standard of performance.The flux footprint contribution from paddy fields,aquaculture ponds and other water bodies was 67.0%,5.4%and 8.9%,respectively,and those three accounted for 81%of the flux footprint contribution with 15-km radius of the EC tower.An obvious temporal variation trend was shown in the 80%contour of the footprint climatologies,with a strong diurnal and the seasonal variability,and the paddy fields accounted for the most important flux contribution on all time scales.(2)Temporal variations,total emission and regional emission factor of N2O fluxBased on the 39-month N2O flux measured with the tall-tower closed-path EC in this study site,we found an obvious temporal variation trend in the observed N2O flux,with a strong diurnal,seasonal and interannual variability.The mean N2O flux during the observational period was 0.91±0.76 nmol m-2 s-1,and the annual cumulative N2O emission was 8.2 kg N2O-N ha-1y-1,which was higher than those reported by other cropland studies.The annual mean emission factor was 4.2%±0.3%in the typical agricultural landscape,which was much higher than the IPCC default direct emission factors for rice paddies(0.3%)and dryland crops(1%),and also the indirect emission factor(0.75%).(3)Effects of environmental conditions on the N2O fluxThe relationships of the N2O flux with temperature(air temperature,water temperature and soil temperature)were exponential at the daily and monthly scales(p<0.01).The temperature sensitivity(Q10)ranged from 1.4 to 1.6,indicating that the N2O flux has weaker response to temperature at spatial scales consisting of multiple sources than at the plot scale consisting of a single soil source.Although precipitation and the N2O flux in the typical agricultural landscape was insignificant on the daily and monthly scales(p>0.05),the daily mean N2O flux fluctuated with the increasing precipitation of different intensities,and the case studies showed that the daily precipitation could stimulate the production and emission of N2O.On the monthly and annual scales,the interpretation of the temperature and precipitation effects on the observed flux variability was up to 69%.
Keywords/Search Tags:typical agricultural landscape, N2O flux, tall-tower eddy covariance, emission factor, influencing factors
PDF Full Text Request
Related items