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水稻对甲烷季节排放模式的影响(英文) 被引量:7
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作者 王步军 H.U.Neue H.P.Samonte 《作物学报》 CAS CSCD 北大核心 1997年第3期271-279,共9页
在菲律宾国际水稻研究所的温室条件下调查了水稻对甲烷季节排放规律的影响。土壤在同一时间灌水,并通过同时测量处于不同生长期的水稻植株的甲烷排放量,把水稻对甲烷季节排放量的影响效应与其它因素的效应分离开来。所有的水稻品种都能... 在菲律宾国际水稻研究所的温室条件下调查了水稻对甲烷季节排放规律的影响。土壤在同一时间灌水,并通过同时测量处于不同生长期的水稻植株的甲烷排放量,把水稻对甲烷季节排放量的影响效应与其它因素的效应分离开来。所有的水稻品种都能在生长的早期导致一个甲烷排放高峰。这一高峰是由于土壤中易分解的有机质为甲烷细菌提供丰富的碳源,土壤中具有较高的甲烷浓度;水稻植株成为土壤中的甲烷向大气中扩散的通道。如果水稻在抽穗期或灌浆期根系分泌较多的有机质,为甲烷细菌提供足够的碳源,水稻可以导致第二个甲烷排放高峰。水稻品种之间有差异。在第二个高峰期后,甲烷的排放量开始降低,我们认为这是由于生长后期水稻根系衰老,甲烷从土壤中向根内的扩散速度减慢所致。 展开更多
关键词 水稻 甲烷 排放 季节排放模式
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节水灌溉模式下稻田甲烷排放的季节变化 被引量:37
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作者 彭世彰 李道西 +2 位作者 缴锡云 何岩 郁进元 《浙江大学学报(农业与生命科学版)》 CAS CSCD 北大核心 2006年第5期546-550,共5页
基于稻田节水灌溉技术和密闭静态箱技术田间原位采集甲烷气样,研究了控制灌溉模式对稻田甲烷季节排放规律的影响.结果表明,控灌稻田水稻全生育期的甲烷排放主要集中在分蘖前期和中期,甲烷排放总量为24.43 g?m-2,平均排放率为7.95 mg?m-2... 基于稻田节水灌溉技术和密闭静态箱技术田间原位采集甲烷气样,研究了控制灌溉模式对稻田甲烷季节排放规律的影响.结果表明,控灌稻田水稻全生育期的甲烷排放主要集中在分蘖前期和中期,甲烷排放总量为24.43 g?m-2,平均排放率为7.95 mg?m-2?h-1,比淹水稻田减少了39%.但分阶段的均值显著性检验显示,在泡田———分蘖中期"控灌稻田的甲烷平均排放率与淹水稻田无显著性差异(0.05<P=0.87),在分蘖后期———黄熟期"才明显低于淹水稻田(0.00=P<0.05).控灌稻田甲烷排放量在水稻全生育期月份上的分配与淹水稻田具有一致性,7月份是华东稻作区甲烷排放最多的月份,但控灌稻田甲烷排放量在各月的变幅较大.另外,控灌稻田低于饱和含水率的无水层状态能显著减少稻田甲烷的排放,且不因降雨或施入氮肥而被削弱,还可能成为吸收甲烷的汇. 展开更多
关键词 控制灌溉 稻田 甲烷 季节排放
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季节性河流的污染物总量控制框架构建 被引量:4
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作者 陈龙 曾维华 《中国环境科学》 EI CAS CSCD 北大核心 2013年第11期2107-2111,共5页
在概述有关季节性污水排放计划(SDP)研究内容的基础上,结合我国总量控制制度,借鉴国内外实施SDP的成功经验,构建了季节性总量控制的基本框架.根据我国河流水环境质量现状,指出在我国研究和实施季节性总量控制是可行的.针对当前实施季节... 在概述有关季节性污水排放计划(SDP)研究内容的基础上,结合我国总量控制制度,借鉴国内外实施SDP的成功经验,构建了季节性总量控制的基本框架.根据我国河流水环境质量现状,指出在我国研究和实施季节性总量控制是可行的.针对当前实施季节性总量控制存在的问题,提出了今后的主要研究发展方向. 展开更多
关键词 季节性污水排放计划(SDP) 季节性总量控制 风险评估 经济效益
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渭河干流关中段季节性水环境容量研究 被引量:3
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作者 陈龙 曾维华 吴昊 《人民黄河》 CAS 北大核心 2015年第2期72-74,77,共4页
针对季节性河流流量具有周期性变化的特点,采用季节性污水排放计划(SDP)的季节划分方法,提出季节性河流水环境容量计算方法。以渭河干流关中段为例,将一年划分为旱雨两季,利用一维水质模型计算8个季节划分方案和1个对照方案在50%... 针对季节性河流流量具有周期性变化的特点,采用季节性污水排放计划(SDP)的季节划分方法,提出季节性河流水环境容量计算方法。以渭河干流关中段为例,将一年划分为旱雨两季,利用一维水质模型计算8个季节划分方案和1个对照方案在50%、75%和90%保证率下的水环境容量。研究结果表明:在相同保证率下,分季节计算的渭河干流关中段COD和NH3-N环境容量分别是传统环境容量计算方法的1.17~1.59倍和1.25~1.79倍,表明分季节计算的河流水环境容量明显大于以年为单位计算的河流水环境容量。 展开更多
关键词 季节性污水排放计划 水环境容量 污染物总量 保证率 渭河干流关中段
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Impacts of Seasonal Fossil and Ocean Emissions on the Seasonal Cycle of Atmospheric CO_2
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作者 CHEN Zhao-Hui 《Atmospheric and Oceanic Science Letters》 2011年第2期70-74,共5页
The seasonal cycle of atmospheric CO2 at surface observation stations in the northern hemisphere is driven primarily by net ecosystem production (NEP) fluxes from terrestrial ecosystems. In addition to NEP from terres... The seasonal cycle of atmospheric CO2 at surface observation stations in the northern hemisphere is driven primarily by net ecosystem production (NEP) fluxes from terrestrial ecosystems. In addition to NEP from terrestrial ecosystems, surface fluxes from fossil fuel combustion and ocean exchange also contribute to the seasonal cycle of atmospheric CO2. Here the authors use the Goddard Earth Observing System-Chemistry (GEOS-Chem) model (version 8-02-01), with modifications, to assess the impact of these fluxes on the seasonal cycle of atmospheric CO2 in 2005. Modifications include monthly fossil and ocean emission inventories. CO2 simulations with monthly varying and annual emission inventories were carried out separately. The sources and sinks of monthly averaged net surface flux are different from those of annual emission inventories for every month. Results indicate that changes in monthly averaged net surface flux have a greater impact on the average concentration of atmospheric CO2 in the northern hemisphere than on the average concentration for latitudes 30-90°S in July. The concentration values differ little between both emission inventories over the latitudinal range from the equator to 30°S in January and July. The accumulated impacts of the monthly averaged fossil and ocean emissions contribute to an increase of the total global monthly average of CO2 from May to December.An apparent discrepancy for global average CO2 concentration between model results and observation was because the observation stations were not sufficiently representative. More accurate values for monthly varying net surface flux will be necessary in future to run the CO2 simulation. 展开更多
关键词 CO2 GEOS-CHEM seasonal cycle
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Distribution and Variation of Carbon Monoxide in the Tropical Troposphere and Lower Stratosphere
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作者 LI Qian SHI Hua-Feng +2 位作者 SHAO Ai-Mei BIAN Jian-Chun Lü Da-Ren 《Atmospheric and Oceanic Science Letters》 CSCD 2014年第3期218-223,共6页
The authors examine the distribution and varia- tion of carbon monoxide (CO) in the tropics from the sur- face to the lower stratosphere. By analyzing space-borne microwave limb sounder (MLS) measurements, measure... The authors examine the distribution and varia- tion of carbon monoxide (CO) in the tropics from the sur- face to the lower stratosphere. By analyzing space-borne microwave limb sounder (MLS) measurements, measure- ments of pollution in the troposphere (MOPITT) and mod- em-era retrospective analysis for research and applications (MERRA) meteorological products, and atmospheric chemistry and climate model intercomparison project (ACCMIP) surface emission inventories, the influences of atmospheric dynamics and surface emissions are investi- gated. The results show that there are four centers of highly concentrated CO mixing ratio over tropical areas in differ- ent seasons: two in the Northern Hemisphere and another two in the Southern Hemisphere. All of these centers cor- respond to local deep convective systems and mon- soons/anticyclones. The authors suggest that both deep convections and anticyclones affect CO in the tropical tro- posphere and lower stratosphere--the former helping to transport CO from the lower to the middle troposphere (or even higher), and the dynamical uplift and isolation effects of the latter helping to build up highly concentrated CO in the upper troposphere and lower stratosphere (UTLS). Similarly, there are two annual surface emission peaks in- duced by biomass burning emissions: one from the North- ern Hemisphere and the other from the Southern Hemi- sphere. Both contribute to the highly concentrated CO mixing ratio and control the seasonal variabilities of CO in the UTLS, combining the effects of deep convections and monsoons. Results also show a relatively steady emission rate from anthropogenic sources, with a small increase mainly coming from Southeast Asia and lndia. These emis- sions can be transported to the UTLS over Tibet by the joint effort of surface horizontal winds, deep convections, and the Asian summer monsoon system. 展开更多
关键词 CARBON monoxidetropicstropospherelower stratospheresurface EMISSIONS
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Seasonal Variation of Cumulative CO_2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey
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作者 G.YILMAZ 《Pedosphere》 SCIE CAS CSCD 2012年第3期322-332,共11页
Understanding the factors affecting the CO 2 emission from agricultural practices is crucial for global warming.A study was performed in an apricot orchard field in the experimental farm of the Harran University,South... Understanding the factors affecting the CO 2 emission from agricultural practices is crucial for global warming.A study was performed in an apricot orchard field in the experimental farm of the Harran University,Southeast Turkey,to i) quantify weekly and seasonal variations of the CO 2 emissions from a Vertisol under apricot orchard;ii) evaluate the difference in CO 2 emission between the area under trees and rows;and iii) assess the relationships between the amounts of CO 2 emissions and environmental parameters for better use and management of the soils from the view point of carbon balance and flux in a semi-arid environment under drip irrigation.Soil CO 2 emission measurements were performed during May 2008 and May 2010,from both under tree crowns (CO 2-UC) and between tree rows (CO 2-BR),on a weekly basis in southeast Turkey with a semi-arid climate.CO 2 emissions were statistically correlated with weather and soil parameters such as air temperature,relative humidity,rainfall,soil water content,and soil temperature at various depths from 5 to 100 cm.The weekly emissions ranged from 82 to 1 110 kg CO 2 ha 1 week 1 and from 96 to 782 kg CO 2 ha 1 week 1 in CO 2-UC and CO 2-BR,respectively.Increase in CO 2 emission in the second year was due to increases in mean air and soil temperatures.The weekly and monthly cumulative CO 2 emissions were positively correlated with the air and soil temperatures.Multiple linear regression analysis explained 35% and 83% variations in average weekly and monthly CO 2 emissions,by using meteorological data.Including the interaction effects of meteorological parameters in regression equations nearly doubled the variance explained by the regression models.According to stepwise regression analysis,soil and air temperatures were found to have the most significant impact on the temporal variability of the soil CO 2 emission. 展开更多
关键词 global warming meteorological data PLOWING soil temperature stepwise regression
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