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1.
种植不同作物对农田N2O和CH4排放的影响及其驱动因子   总被引:3,自引:0,他引:3  
以种植玉米(Zea mays)、大豆(Glycine max)和水稻(Oryza sativa)的农田生态系统为研究对象,于2003年6~10月系统观测了N2O和CH4的排放、土壤温度和湿度以及相关的生物学因子。玉米和水稻分别施化肥氮300 kg.hm-2,大豆未施氮肥。研究结果表明,作物类型对农田N2O和CH4排放具有显著的影响。土壤-玉米系统、土壤-大豆系统和土壤-水稻系统的N2O季节性平均排放通量分别为620.5±57.6、338.0±7.5和238.8±13.6μg.m-2.h-1(N2O)。种植作物促进了农田生态系统的N2O排放,玉米地土壤和裸地土壤的N2O平均排放通量分别为364.2±11.7和163.7±10.5μg.m-2.h-1(N2O)。土壤-玉米系统、土壤-水稻系统、玉米地土壤和裸地土壤N2O排放受土壤温度的影响,与土壤湿度无显著统计相关,但受土壤温度和水分的综合影响。土壤-大豆系统N2O排放随作物绿叶干重的增加而指数增加,与土壤温度和水分条件无统计相关,由大豆作物自身氮代谢所产生的N2O-N季节总量约为6.2 kg.hm-2(N)。土壤-水稻系统CH4平均排放通量为1.7±0.1 mg.m-2.h-1(CH4),烤田抑制了稻田CH4的排放。烤田前影响稻田CH4排放的主要因素是水稻生物量,烤田后的浅水灌溉及湿润灌溉阶段的CH4排放与土壤温度和水稻生物量无关。本研究未观测到旱作农田有吸收CH4的现象。  相似文献   

2.
成都平原稻田甲烷排放的实验研究   总被引:9,自引:0,他引:9  
根据1996~1999年四个稻季的观测资料,分析了成都平原单季稻甲烷排放的季节变化和年际变化特征.结果表明:在水稻生长季节甲烷排放通量变化很大,在分蘖期和成熟期一般会出现峰值.年际间的通量变化也很大,其年均排放通量的变化范围在2.35~33.95mg m-2 h-1之间.4年的平均排放通量为12 mg m-2 h-1,与四川乐山的7年平均值30mg m-2 h-1相比,存在着明显的地区差异.同时分析讨论了温度、施肥、水稻品种、土壤氧化还原电位(Eh)以及稻田水位等诸多因素对稻田甲烷排放的影响.结果表明:在成都平原水稻生长季节的平均气温对CH4的平均排放通量影响不大;而气温对CH4排放的日变化有相对重要的影响,但气温对甲烷排放日变化的影响与水稻植物体的生长阶段有关;发现了水稻植物体(根、茎、叶)重量对CH4排放的重要作用.讨论了合理使用肥料和施肥量,控制水位和Eh值对稻田CH4的减排作用,提出优化组合诸影响因子,以充分发挥其减排潜力.  相似文献   

3.
通过对长春及其周围地区稻田上空甲烷浓度和稻田甲烷排放量持续2年的监测研究发现,在水稻生长季内,该区稻田甲烷排放量的变化曲线里单峰型,排放高峰出现在7月上、中旬至8月上旬的水稻孕穗期,且在此期间,稻田上空甲烷浓度和稻田甲烷排放量关系密切。采用持续淹水方式的C稻田的甲烷平均排放通量为7.65mg·m-2·h-1;采用间歇灌水方式的A、B稻田分别为0.Z7和0.72mg·m-2·h-1。人为的水管理方式和施肥对该区稻田甲烷排放具有重要影响。采用间歇灌水的水管理方式可大幅度降低稻田甲烷的排放量。  相似文献   

4.
江西省冬水田休闲期甲烷排放研究   总被引:2,自引:0,他引:2       下载免费PDF全文
利用85个气象站的观测资料和14个农业气象观测站水稻生育期资料,以及第二次土壤普查数据,基于气温与冬水田休闲期甲烷排放通量的指数关系模型,分析了江西省2000—2013年冬水田休闲期甲烷排放因子和排放量的时空分布特征。结果表明:1)江西省冬水田甲烷排放因子无显著的上升趋势;2)江西省冬水田休闲期甲烷排放平均通量为7.66 mg/(m2·h),平均年排放因子为406.5 kg/hm2,其中2007年排放通量为1.214×105 t,占稻田甲烷排放的12.4%;3)吉安、赣州、抚州、上饶和宜春市是江西省冬水田休闲期甲烷排放的主要地区,累计约占全省排放量的75.0%;4)各设区市冬水田休闲期甲烷排放量主要决定于各地水田面积的大小,赣州市除外。  相似文献   

5.
任万辉  许黎  王振会 《气象》2004,30(6):3-7
综合论述了近 2 0年来中国稻田甲烷排放的研究状况 ,包括中国稻田甲烷排放通量的观测 ,稻田甲烷生成的生物学机理及产生、转化、传输的机理研究 ,稻田甲烷排放的影响因子 ,主要介绍了稻田甲烷产生和氧化过程、影响甲烷排放的因子  相似文献   

6.
清远地区晚稻田甲烷排放的实验   总被引:1,自引:1,他引:1  
根据2003年清远地区晚稻田甲烷(CH4)排放的实验观测资料,分析了该地区晚稻田生长期间CH4排放的变化规律,对影响排放的相关因子进行了分析。结果表明:晚稻田CH4排放的变化规律基本为3峰型,整个生长期间平均排放通量为6.09 mg.m-2.h-1。不同稻种之间的CH4排放通量差别不是很大,种植的2个水稻品种"金优99"和"七丝尖"相差1.08 mg.m-2.h-1。水位和土壤氧化还原电位对CH4排放通量有明显的影响。  相似文献   

7.
1996至1997年5~9月在吉林省万昌试验区,利用箱式技术对水稻田甲烷(CH4)排放通量进行观测,取得了两个完整的水稻生长期内CH4排放资料,并收取了同期美国NOAA气象卫星资料,用陆地卫星专题图仪(TM)与气象卫星甚高分辨率扫描辐射计(AVHRR)数值计算研究区水稻种植面积,并通过遥感水稻空间长势,为各生育期的水稻做植被指数(Iv)分析结果表明,Iv与稻田CH4排放通量具有显著的相关关系,而亮温则不能作为CH4排放的指标因子。建立Iv与稻田CH4排放的关系,可计算出研究区域稻田CH4排放总量。  相似文献   

8.
利用寿县国家气候观象台开路式甲烷气体分析仪的观测数据,分析了淮河流域稻麦轮作农田不同生育期甲烷通量变化特征及其影响因素。结果表明:淮河流域甲烷通量一年中呈单峰型分布,峰值出现在夏季。甲烷通量日变化呈单峰型分布,峰值出现在午后,白天高于夜间。水稻生育期甲烷通量明显高于小麦生育期;小麦出苗期甲烷通量最小,成熟期最大,达到0.14μg·m-2 ·s-1;水稻拔节期甲烷通量最大,达到3.02μg·m-2 ·s-1,成熟期最小,为0.12μg·m-2 ·s-1。作物生物量对甲烷通量影响明显,水稻和小麦收割前后24 h甲烷通量降幅达到50%和30%。甲烷通量与降水、相对湿度、水汽压、土壤温度、气温均呈显著的正相关关系。降水量越大,湿度越大,温度越高,甲烷通量就越大。  相似文献   

9.
对甲烷湿地排放模型CH4MODwetland进行灵敏度分析表明,环境驱动因素——温度和地表水深是影响甲烷排放通量的主要因素,地表水深对季节性积水沼泽甲烷排放通量的灵敏度大于常年积水沼泽。模型对植物和土壤输入参数的灵敏度响应依次为Wmax(地上生物量最大值)FR(地下净初级生产力占植物总净初级生产力的比例)fV(植被类型系数)TAmax(植物从生长初期到最大地上生物量所需有效积温)ρ(容量),OM(土壤有积质含量)SAND(土壤砂粒含量)。以经验水位模型驱动CH4MODwetland,模拟三江平原毛果苔草和小叶章沼泽(1950年代~2000年代),以及若尔盖高原木里苔草和乌拉苔草沼泽(1960年代~2000年代)多年甲烷排放通量的变化。结果表明,年代际甲烷排放通量的变化主要受降水量的影响,但气候变暖使得降水量基本相同的年代甲烷排放通量增加:三江平原毛果苔草沼泽和小叶章沼泽(1980年代~2000年代比1950年代~1970年代模拟的甲烷排放通量分别增加了9.5%和8.3%;若尔盖高原乌拉苔草沼泽和木里苔草沼泽(1990年代~2000年代比1960年代~1970年代)分别增加了6.0%和5.5%。该结论能够为评估未来气候变化对中国湿地甲烷排放的影响提供依据。  相似文献   

10.
稻田甲烷排放及产生、转化、输送机理   总被引:65,自引:1,他引:64  
王明星  李晶  郑循华 《大气科学》1998,22(4):600-612
通过对中国五大水稻产区稻田甲烷排放的多年观测实验,描述了稻田甲烷排放的时空变化规律及特征并分析研究了其形成机理。稻田甲烷排放的日变化有四种类型,甲烷的传输效率是日变化形成的主要因素。稻田甲烷土壤中排放率的季节变化型式在不同的地区是不同的,这取决于气温变化、水稻品种、施肥及水管理等不同因素。甲烷产生主要发生在稻田土壤耕作还原层(2~20 cm),氧化主要发生在水土交界面的氧化层和根部氧化膜,并受多种因子的影响。土壤中的甲烷通过三个路径向大气排放,不同时期三个路径在甲烷传输中的相对重要性不同。施用化肥和沼渣肥可以降低土壤中甲烷的产生和排放,而有机肥会增加土壤中甲烷的产生和排放。中国的稻田每年向大气中排放9.67~12.66百万吨甲烷,全球稻田甲烷的总排放量约为35~56 Tg/a。  相似文献   

11.
中国南京与美国德克萨斯稻田甲烷排放的比较   总被引:8,自引:0,他引:8  
Field measurements of methane emission from rice paddies were made in Nanjing, China and in Texas, USA, respectively. Soil temperature at approximately 10 cm depth of the flooded soils was automatically recorded. Aboveground biomass of rice crop was measured approximately every 10 days in Nanjing and every other week in Texas. Seasonal variation of soil temperature in Nanjing was quite wide with a magnitude of 15.3℃ and that in Texas was narrow with a magnitude of 2.9℃. Analysis of methane emission fluxes against soil temperature and rice biomass production demonstrated that the seasonal course of methane emission in Nanjing was mostly attributed to soil temperature changes, while that in Texas was mainly related to rice biomass production. We concluded that under the permanent flooding condition, the seasonal trend of methane emission would be determined by the soil temperature where there was a wide variation of soil temperature, and the seasonal trend would be mainly determined by rice biomass production if there are no additional organic matter inputs and the variation of soil temperature over the rice growing season is small.  相似文献   

12.
Model for Methane Emission from Rice Fields and Its Application in Southern ChinaDingAijuandWangMingxing(InstituteofAtmospher...  相似文献   

13.
稻田甲烷排放的初级模式   总被引:11,自引:1,他引:11       下载免费PDF全文
丁爱菊  王明星 《大气科学》1995,19(6):733-740
本文建立了一个区域尺度稻田生态系统CH4排放的初步模式,该模式能从理论上反映稻田CH4产生、传输与排放的机理,并提供了一种估计不同区域气候和土壤条件下稻田生态系统CH4排放总量的有效方法。模式主要包括三个部分:水稻的生长、土壤有机物的分解和CH4的产生、传输及排放过程。模式分别模拟了早稻和晚稻CH4的排放,模拟结果与实测比较接近,CH4的季平均排放量,模拟值与实测值的偏差在10% 左右。模式的敏感性实验表明,温度是稻田CH4排放规律的主要控制因子。  相似文献   

14.
1990年7—9月,在浙江临安(30°14'N,119°42'E),利用微气象学(梯度廓线)法及箱式技术对水稻田CH4排放通量进行了同步观测,取得了中稻整个生长期内的CH4排放资料。文章仅对箱式技术的观测结果作了介绍与分析。观测发现在整个灌溉期内,稻田CH4释放率为3.67—16.14 mg/m2·h,均值为10.58 mg/m2·h。CH4排放的季节变化明显,日变化也同样很明显。另外还发现,CH4排放通量与水(地)温及其他气象因素,如强风、阴雨等有关。与梯度廓线法的观测结果不同,箱式观测到的CH4排放通  相似文献   

15.
In the rice field methane is produced in the soil layer with depths of 2-25 cm. The vertical profile of methane production rate in the paddy soil during the water covering period differs from that in the paddy soil in dry phase. Only a small part, about 30%. of the produced methane is emitted to the atmosphere through rice plant, air bubbles, and molecular diffusion. Therefore, the methane emission rate from the rice field depends not only on the methane production rate in the soil, but also on the transport efficiency of the rice plant, air bubble formation that in turn depends on the production rate, and molecular diffusion.Field measurements show that methane emission rates from a particular rice field have very large diurnal, seasonal and interannual variations, which are related to soil characteristics, water regime, farming procedure, local climate, and rice growing activities. The relationship between the methane emission rate and the above mentioned factors is very complicated. The emission rate  相似文献   

16.
我国华中地区稻田甲烷排放特征   总被引:12,自引:1,他引:12  
本文主要讨论地处我国华中水稻生态区的湖南红壤稻田的CH4排放特征。稻田CH4排放的日变化都有一致的规律,即在下午16:00左右出现最大值;CH4排放的日变化幅度与天气条件和水稻植物体有关;CH4排放的日变化与温度日变化的相关性很好(R>0.90)。早稻和晚稻的CH4排放季节变化规律有明显的差别,这主要是由于早、晚稻水稻生长期间的天气特别是空气温度变化的差异引起的,早稻CH4排放率在水稻生长中期(6月)略大,而晚稻在水稻移栽后几天内CH4排放就达到整个季节中的最大值,以后随时间逐渐降低;缺水会使CH4排放率明显降低,而且在重新灌水后相当长时间内CH4排放率没有回升;CH4排放在全有机肥的田中最大,然后依次是常规施肥、全沼渣肥及化肥田;尿素、氯化钾和复合肥的多施可降低稻田CH4排放率;不同施肥田中CH4排放率的温度效应不同;施肥是控制CH4排放的一种可行手段;在整个晚稻生长季节中瞬时CH4排放率与瞬时温度呈明显的指数关系;在1991年双季水稻生长季节中,稻田中CH4的排放量为67.96 g·m-2,其中早稻的CH4排放率为0.36 g·m-2·d-1,晚稻为0.48 g·m-2·d-1。  相似文献   

17.
Summary The CH4 emission rates from Chinese rice fields have been measured in five typical areas representing all of the five major rice culture regions in People's Republic of China (P.R. China). Four types of diurnal variations (afternoon peak, night peak, afternoon-night double peaks and random pattern) of CH4 emission rates have been found. The first pattern was normally found in clear weather, the second and the third types were only found occasionally in particular place, while the fourth were found in cloudy or rainy weather. Due to the irregular pattern of the methane production observed in the morning-afternoon comparison experiment, the transport pathway influenced by certain factors, may be the major factor governing the diurnal variation of CH4 emission. Seasonal variation patterns of CH4 emission differ slightly with different field locations, where climate system, cropping system and other factors are different. Two and three emission peaks were generally found during single and early rice vegetation periods, with the peak magnitude and time of appearance differing to small degree in individual sites. A decreasing trend of seasonal variation was always observed in late rice season. A combination of seasonal change of transport efficiency and that of CH4 production rate in the paddy soil explains well the CH4 emission. The role of rice plant in transporting CH4 varied over a large range in different rice growing stages. The reasons for internnual changes of CH4 flux are not yet clear.Great spatial variation of the CH4 emission has been found, which can be attributed to the differences in soil type and soil properties, local climate condition, rice species, fertilizer and water treatment. Experiments showed that while the application of some mineral fertilizers will reduce the CH4 emission and CH4 production in the soil, the application of organic manure will enhance CH4 emission and CH4 production in the soil. Any measures which can get off easily decomposed carbon from organic manure may reduce C supply for CH4 production, and hence reduce CH4 emission. Fermented sludges from biogas generators and farmyard-stored manure seem to be promising. In some parts of China, separate application of the organic and mineral manure instead of mixed application could be another option. Frequent Scientific drainage and ridge cultivation, which are often used water management techniques in Chinese rice agriculture, have been proved in the experiments to be a very efficient mitigation measures to reduce CH4 emission from rice fields.By summarizing the present available data, China's rice fields contribute about 13.3 Tg yr–1 (11.4–15.2) CH4 to the atmosphere. The total methane emission from global rice fields can be estimated 33–60 Tg yr–1, much less than the estimates made before.If we extrapolate the measured data in China with a consideration of measured data in other Asian country, the total global emission of CH4 from rice fields are estimated to be about 35–60 Tg yr–1 With 2 Figures  相似文献   

18.
A numerical simulation model is presented in this paper,which comprises the processes of crop growth,soil organic carbon decomposition,and methane emissions in agroecosystems.Simulation results show that the model can simulate the main process of methane emissions well,and the correlation coefficient between the simulated values and observed data is 0.79 with 239 samples,which passed a significance test of 0.01.The average error of methane emission simulation in whole growth period is about 15%.Numerical analysis of the model indicates that the average temperature during rice growth period has much impacts on methane emissions,and the basic trend of interannual methane emissions is similar to that of average temperature.The amount of methane emissions reduces about 34.93%,when the fertilizer is used instead of manure in single rice paddy.  相似文献   

19.
A numerical simulation model is presented in this paper,which comprises the processes ofcrop growth,soil organic carbon decomposition,and methane emissions in agroecosystems.Simulation results show that the model can simulate the main process of methane emissions well,and the correlation coefficient between the simulated values and observed data is 0.79 with 239samples,which passed a significance test of 0.01.The average error of methane emissionsimulation in whole growth period is about 15%.Numerical analysis of the model indicates that theaverage temperature during rice growth period has much impacts on methane emissions,and thebasic trend of interannual methane emissions is similar to that of average temperature.The amountof methane emissions reduces about 34.93%,when the fertilizer is used instead of manure in singlerice paddy.  相似文献   

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