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涡度协方差最新应用文献列表

来源:北京力高泰科技有限公司 发布时间:2020-10-28 15:47:39 点击数:126 使用提问 咨询价格

2019年

1、 Dalmagro H J, de Arruda P H Z, Vourlitis G L, et al. Radiative forcing of methane fluxes offsets net carbon dioxide uptake for a tropical flooded forest[J]. Global change biology, 2019.【Gill、LI-7700、LI-7500、Eddypro】

2、 Drollinger S, Maier A, Glatzel S. Interannual and seasonal variability in carbon dioxide and methane fluxes of a pine peat bog in the Eastern Alps, Austria[J]. Agricultural and Forest Meteorology, 2019, 275: 69-78.【EC】

3、 D′ Acunha B, Morillas L, Black T A, et al. Net ecosystem carbon balance of a peat bog undergoing restoration: integrating CO2 and CH4 fluxes from eddy covariance and aquatic evasion with DOC drainage fluxes[J]. Journal of Geophysical Research: Biogeosciences, 2019, 124(4): 884-901. 【EC】

4、 Pankratova N, Belikov I, Skorokhod A, et al. Measurements and data processing of atmospheric CO2, CH4, H2O and δ13CCH4 mixing ratio during the ship campaign in the East Arctic and the Far East seas in autumn 2016[C]//IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2019, 231(1): 012041.【7700/7200】

5、 Gutierrez-Loza L, Wallin M B, Sahlée E, et al. Measurement of air-sea methane fluxes in the Baltic Sea using the eddy covariance method[J]. Frontiers in Earth Science, 2019, 7: 93.【7700】

6、 Qing-Yu J, Wen-Ying Y, Li Z, et al. Methane emissions from typical paddy fields in Liaohe Plain and Sanjiang Plain, Northeast China[J]. Environmental Research Communications, 2019, 1(1): 011006.【7700】

7、 Burba G, Anderson T, Komissarov A. Accounting for Spectroscopic Effects in Laser‐based Open‐path Eddy Covariance Flux Measurements[J]. Global change biology, 2019.【7700】

8、 Li H, Guo H Q, Helbig M, et al. Does direct-seeded rice decrease ecosystem-scale methane emissions?—A case study from a rice paddy in southeast China[J]. Agricultural and Forest Meteorology, 2019, 272: 118-127.【7700】

9、 Zhang L, Cho S, Hashisho Z, et al. Quantification of fugitive emissions from an oil sands tailings pond by eddy covariance[J]. Fuel, 2019, 237: 457-464.【7700/7500A】

10、 Hemes K S, Chamberlain S D, Eichelmann E, et al. Assessing the carbon and climate benefit of restoring degraded agricultural peat soils to managed wetlands[J]. Agricultural and Forest Meteorology, 2019, 268: 202-214.【7700、7500、Gill】

11、 Zhao J, Zhang M, Xiao W, et al. An evaluation of the flux-gradient and the eddy covariance method to measure CH4, CO2, and H2O fluxes from small ponds[J]. Agricultural and Forest Meteorology, 2019, 275: 255-264.【7700】

12、 Rodríguez J C, Pellat F P, Watts C, et al. Methane and carbon dioxide measurements using the eddie covariance technique in semi-stabled dairy cattle in Sonora, Mexico[J]. JOURNAL TERRA LATINOAMERICANA, 2019, 37(1): 69-80.【7700/7200】

13、 Negandhi K, Edwards G, Kelleway J J, et al. Blue carbon potential of coastal wetland restoration varies with inundation and rainfall[J]. Scientific reports, 2019, 9(1): 4368.【7500/7700、Gill】

14、 Zuo Y, Guo Y, Song C, et al. Study on Soil Water and Heat Transport Characteristic Responses to Land Use Change in Sanjiang Plain[J]. Sustainability, 2019, 11(1): 157. 【7500/7700、Gill】 

15、 Villa J A, Ju Y, Vines C, et al. Relationships between methane and carbon dioxide fluxes in a temperate cattail‐dominated freshwater wetland[J]. Journal of Geophysical Research: Biogeosciences, 2019. 【7500/7700】

16、 Chen W, Zhang F, Wang B, et al. Diel and seasonal dynamics of ecosystem‐scale methane flux and their determinants in an alpine meadow[J]. Journal of Geophysical Research: Biogeosciences, 2019.【7700/7500】

17、 Rößger N, Wille C, Veh G, et al. Scaling and balancing methane fluxes in a heterogeneous tundra ecosystem of the Lena River Delta[J]. Agricultural and Forest Meteorology, 2019, 266: 243-255.【7500A、7700】

18、 Zhang M, Xiao Q, Zhang Z, et al. Methane flux dynamics in a submerged aquatic vegetation zone in a subtropical lake[J]. Science of the Total Environment, 2019, 672: 400-409.【7700】

 

2018年

1、 Eichelmann E, Hemes K S, Knox S H, et al. The effect of land cover type and structure on evapotranspiration from agricultural and wetland sites in the Sacramento–San Joaquin River Delta, California[J]. Agricultural and Forest Meteorology, 2018, 256: 179-195.[7700/7500/gill]

2、 Gomez‐Casanovas N, DeLucia N J, Bernacchi C J, et al. Grazing alters net ecosystem C fluxes and the global warming potential of a subtropical pasture[J]. Ecological applications, 2018, 28(2): 557-572.[81000V、7200/7500]

3、 Caulton D R, Li Q, Bou-Zeid E, et al. Quantifying uncertainties from mobile-laboratory-derived emissions of well pads using inverse Gaussian methods[J]. Atmospheric Chemistry and Physics, 2018, 18(20): 15145-15168.【7700/7500】

4、 Tang A C I, Stoy P C, Hirata R, et al. Eddy covariance measurements of methane flux at a tropical peat forest in Sarawak, Malaysian Borneo[J]. Geophysical Research Letters, 2018, 45(9): 4390-4399.【7700/7500】

5、 Coates T W, Benvenutti M A, Flesch T K, et al. Applicability of eddy covariance to estimate methane emissions from grazing cattle[J]. Journal of environmental quality, 2018, 47(1): 54-61.【7700/7500/7550、GILL】

6、 Cahill A G, Ladd B, Chao J, et al. Implementation and Operation of a Multidisciplinary Field Investigation Involving a Subsurface Controlled Natural Gas Release, Northeastern British Columbia[J]. Geoscience BC Summary of Activities, 2018: 2019-2.[7200/7700]

7、 Ge H X, Zhang H S, Zhang H, et al. The characteristics of methane flux from an irrigated rice farm in East China measured using the eddy covariance method[J]. Agricultural and Forest Meteorology, 2018, 249: 228-238.[7700]

8、 Pugh C A, Reed D E, Desai A R, et al. Wetland flux controls: how does interacting water table levels and temperature influence carbon dioxide and methane fluxes in northern Wisconsin?[J]. Biogeochemistry, 2018, 137(1-2): 15-25.【7500/7700】

9、 Kang M, Kim J, Lee S H, et al. Changes and Improvements of the Standardized Eddy Covariance Data Processing in KoFlux[J]. Korean Journal of Agricultural and Forest Meteorology, 2018, 20(1): 5-17.【7500/7700】

10、 Hemes K S, Chamberlain S D, Eichelmann E, et al. A biogeochemical compromise: The high methane cost of sequestering carbon in restored wetlands[J]. Geophysical Research Letters, 2018, 45(12): 6081-6091.【7700/7500】

11、 Sakabe A, Itoh M, Hirano T, et al. Ecosystem‐scale methane flux in tropical peat swamp forest in Indonesia[J]. Global change biology, 2018, 24(11): 5123-5136.【7500/7700】

12、 Begashaw I, Johnson M, Komissarov A, et al. Methane Measurements with High-Precision Low-Power Low-Maintenance Closed-Path CH4-CO2-H2O Gas Analyzer: First Lab and Field Results[C]//EGU General Assembly Conference Abstracts. 2018, 20: 1824.【7700】

13、 Gutiérrez‐Loza L, Rutgersson A, Wallin M B, et al. Air‐sea Methane fluxes in the Baltic Sea using eddy covariance[J]. The Baltic Sea in Transition, 42.【7700】

14、 Poe D, Rodgers S, Sarr S. Training of Undergraduate and Graduate Students in Ecosystem Scale Measurements of Greenhouse Gases at Kentucky State University[J]. 2018.【7200/7700】

15、 DeLucia N, Bernacchi C, Gomez-Casanovas N. Management Practices and Landscape Context Impact Methane Dynamics from Subtropical Wetlands[C]//AGU Fall Meeting Abstracts. 2018.【7700】

16、 Ohama R. Environment assessment on methane plumes using CH4 concentration measurement[C]//AGU Fall Meeting Abstracts. 2018.【7700】

17、 Peng C, Zhu Q, Chen H. Observed methane sink by eddy covariance method in a tropical rain forest in China[C]//AGU Fall Meeting Abstracts. 2018.【7700】

18、 Swain C K, Bhattacharyya P, Nayak A K, et al. Dynamics of net ecosystem methane exchanges on temporal scale in tropical lowland rice[J]. Atmospheric environment, 2018, 191: 291-301.【7700】

19、 Wong G X. Methane balance of tropical peat ecosystems in Sarawak, Malaysia [an abstract of entire text][J]. 2018.【7500/7700】

20、 Rutgersson A, Pettersson H, Nilsson E, et al. Using land‐based sites for air‐sea interaction studies[J]. The Baltic Sea in Transition, 61.【7500/7700】

21、 Lichiheb N, Heuer M, Vargas R, et al. Measurements of nitrogen and carbon fluxes over coastal salt marsh ecosystem in the northeastern US using eddy covariance systems[C]//AGU Fall Meeting Abstracts. 2018.【7200/7700】

22、 Winders T M, Boyd B M, Hilscher F H, et al. Evaluation of Methane Production Manipulated by Level of Intake in Growing Cattle and Corn Oil in Finishing Cattle[C]//10th International Livestock Environment Symposium (ILES X). American Society of Agricultural and Biological Engineers, 2018: 1.【7700/7500DS】

23、 Iwata H, Hirata R, Takahashi Y, et al. Partitioning Eddy-Covariance Methane Fluxes from a Shallow Lake into Diffusive and Ebullitive Fluxes[J]. Boundary-layer meteorology, 2018, 169(3): 413-428.【7700】

24、 Rey-Sanchez A C, Morin T H, Stefanik K C, et al. Determining total emissions and environmental drivers of methane flux in a Lake Erie estuarine marsh[J]. Ecological Engineering, 2018, 114: 7-15.【7500/7700】

25、 Wang M, Wu J, Lafleur P M, et al. Temporal shifts in controls over methane emissions from a boreal bog[J]. Agricultural and forest meteorology, 2018, 262: 120-134.【7700】

26、 Czubaszek R, Wysocka-Czubaszek A. Emissions of carbon dioxide and methane from fields fertilized with digestate from an agricultural biogas plant[J]. International agrophysics, 2018, 32(1): 29-37.【7500A/7700】

27、 Pallozzi E, Lusini I, Cherubini L, et al. Differences between a deciduous and a conifer tree species in gaseous and particulate emissions from biomass burning[J]. Environmental pollution, 2018, 234: 457-467.【7700】

28、 Beaulieu J J, Balz D A, Birchfield M K, et al. Effects of an experimental water-level drawdown on methane emissions from a eutrophic reservoir[J]. Ecosystems, 2018, 21(4): 657-674.【7700】

29、 Wong G X, Hirata R, Hirano T, et al. Micrometeorological measurement of methane flux above a tropical peat swamp forest[J]. Agricultural and Forest Meteorology, 2018, 256: 353-361.【7700/7500】

30、 Yun H, Wu Q, Zhuang Q, et al. Consumption of atmospheric methane by the Qinghai–Tibet Plateau alpine steppe ecosystem[J]. The Cryosphere, 2018, 12(9): 2803-2819.【7700/7500A】

31、 Taylor M A, Celis G, Ledman J D, et al. Methane efflux measured by eddy covariance in Alaskan upland tundra undergoing permafrost degradation[J]. Journal of Geophysical Research: Biogeosciences, 2018, 123(9): 2695-2710. 【7700/7500A】

32、 Iwata H, Mano M, Ono K, et al. Exploring sub-daily to seasonal variations in methane exchange in a single-crop rice paddy in central Japan[J]. Atmospheric environment, 2018, 179: 156-165.【7700/7500】

33、 Nugent K A, Strachan I B, Strack M, et al. Multi‐year net ecosystem carbon balance of a restored peatland reveals a return to carbon sink[J]. Global change biology, 2018, 24(12): 5751-5768.【7700】

34、 Lee S H, Kang M, Kang N, et al. Haenam Paddy-field KoFlux (HPK) Site with Dry Direct-Seeding: Introduction[J]. Korean Journal of Agricultural and Forest Meteorology, 2018, 20(1): 18-33.【7700】

35、 정현철, 최은정, 김건엽, 等. 벼논에서 open-path 와 closed chamber 방법 간 메탄 배출량 비교[J]. 환경생물, 2018, 36(4): 507-516.【7500/7700】

36、 Wassmann R, Alberto M C, Tirol-Padre A, et al. Increasing sensitivity of methane emission measurements in rice through deployment of ‘closed chambers’ at nighttime[J]. PloS one, 2018, 13(2): e0191352.【7700/7500A】

37、 Chen Z, Yu G, Wang Q. Ecosystem carbon use efficiency in China: Variation and influence factors[J]. Ecological Indicators, 2018, 90: 316-323.【7500/7700】

38、 Fratini G, Sabbatini S, Ediger K, et al. Eddy covariance flux errors due to random and systematic timing errors during data acquisition[J]. Biogeosciences, 2018, 15(17): 5473-5487.【7700/7500】

39、 Swain C K, Nayak A K, Bhattacharyya P, et al. Greenhouse gas emissions and energy exchange in wet and dry season rice: eddy covariance-based approach[J]. Environmental monitoring and assessment, 2018, 190(7): 423.【7700】

40、 Korrensalo A, Mannisto E, Alekseychik P, et al. Small spatial variability in methane emission measured from a wet patterned boreal bog[J]. Biogeosciences, 2018.【7700】

41、 Saha S, Minhas P S, Choudhary R. Monitoring Greenhouse Gas Fluxes in Agro-ecosystems[M]//Advances in Crop Environment Interaction. Springer, Singapore, 2018: 25-50.【7200/7700】

42、 Runkle B R K, Suvočarev K, Reba M L, et al. Methane Emission Reductions from the Alternate Wetting and Drying of Rice Fields Detected Using the Eddy Covariance Method[J]. Environmental science & technology, 2018, 53(2): 671-681.【7500A/7700】

43、 Feitz A, Schroder I, Phillips F, et al. The Ginninderra CH4 and CO2 release experiment: An evaluation of gas detection and quantification techniques[J]. International Journal of Greenhouse Gas Control, 2018, 70: 202-224.【7700/7500】

44、 Pawlak W. Wpływ typu zabudowy na intensywność turbulencyjnej wymiany masy i energii w Łodzi–wstępne wyniki badań porównawczych z lat 2013-2016[J]. Annales Universitatis Mariae Curie-Sklodowska, sectio B–Geographia, Geologia, Mineralogia et Petrographia, 2018, 72(2): 41-56.【7700】

45、 Viktoriia P. Methane flux dynamics in polygonal tundra investigated by the eddy covariance method[J]. 2018.【7700】