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1.
Three-year summertime surface atmospheric N2O concentrations were observed for the first timeon the Fildes Peninsula, maritime Antarctica, and the relationships among the N2O concentration, totalatmospheric O3 amount, and sunspot number were analyzed. Solar activity had an important effecton surface N20 concentration and total O3 amount, and increases of sunspot number were followed bydecreases in the N2O concentration and total O3 amount. A corresponding relationship exists betweenthe N2O concentration and total atmospheric O3, and ozone destruction was preceded by N2O reduction.We propose that the extended solar activity in the Antarctic summer reduces the stratospheric N2O byconverting it into NOx, increases the diffusion of N2O from the troposphere to the stratosphere, decreasesthe surface atmospheric N2O, and depletes O3 via the chemical reaction between O3 and NOx. Ourobservation results are consistent with the theory of solar activity regarding the formation of the AntarcticO3 hole.  相似文献   

2.
2002年夏季,以北京325m气象塔为观测平台,进行了大气污染物臭氧(O3)及其前体物氮氧化物(NOx)和气象要素加强期的同步观测,并对观测资料做了详尽分析。结果表明:边界层内存在明显的臭氧浓度垂直差异;低层(120m)O3浓度呈明显的日变化,且昼夜振幅较大;夜间高层(280m)O3的化学消耗较弱,可维持较高的浓度;稳定度(Ri)在低层以中性态居多,振幅较小,而在高层以不稳定态居多,振幅较大。两层O3湍流输送通量都呈单峰变化。白天,在O3前体物和局地光化学反应共同作用下,120m左右处的O3污染最大。  相似文献   

3.
大气中O3和CO2增加对大豆复合影响的试验研究   总被引:1,自引:0,他引:1  
黄辉  王春乙  白月明  温民 《大气科学》2004,28(4):601-612
利用OTC-1型开顶式气室,对大豆"中黄14"进行了长时期不同O3和CO2处理的接触试验,模拟研究CO2和O3浓度倍增及其交互作用对大豆发育期、黄叶率和绿叶率、根瘤、生物量及其分配、产量结构、籽粒品质及叶片膜保护系统的影响,结果表明:单独O3浓度倍增,发育期明显提前;生物量最多可减少近一半,产量最多减产60%以上;粗蛋白含量增加6.2%,粗脂肪含量降低7.6%;叶片脂膜过氧化加剧.单独CO2浓度倍增,开花后发育期有所延迟;对生物量及产量有明显的正效应,成熟时总生物量和籽粒产量分别比T5增加21.0%和20.3%;粗蛋白和粗脂肪含量分别下降3.3%和1.6%;结荚前叶片脂膜过氧化反应减轻.CO2和O3持续倍增和逐渐达到倍增交互作用处理,在生物量、产量方面表现为CO2的影响大于O3,在叶片膜保护系统方面表现为O3的影响大于CO2,粗蛋白含量下降,粗脂肪含量上升,叶片脂质过氧化加剧.熏气处理均可造成:黄叶率上升,绿叶率下降,凋落物增加,且单独O3浓度倍增的处理最明显,通气仅10天黄叶率就高于50%;超氧化物歧化酶活性增强;气孔阻力增加,蒸腾速率下降,且单独CO2浓度倍增的处理最明显,尤其在高湿阴天,气孔阻力和蒸腾速率变化最高分别可达增加234.0%和下降58.5%.  相似文献   

4.
Ozone is well documented as the air pollutant most damaging to agricultural crops and other plants.It is reported that tropospheric O3 concentration increases rapidly in recent 20 years. Evaluating and predicting impacts of ozone concentration changes on crops are drawing great attention in the scientific community. In China, main study method about this filed is controlled experiments, for example, Open Top Chambers. But numerical simulation study about impacts of ozone on crops with crop model was developed slowly, what is more, the study about combined impacts of ozone and carbon dioxide has not been reported.The improved agroecosystem model is presented to evaluate simultaneously impacts of tropospheric O3 and CO2 concentration changes on crops in the paper by integrating algorithms about impacts of ozone on photosynthesis with an existing agroecosystem biogeochemical model (named as DNDC). The main physiological processes of crop growth (phenology, leaf area index, photosynthesis, respiration, assimilated allocation and so on) in the former DNDC are kept. The algorithms about impacts of ozone on photosynthesis and winter wheat leaf are added in the modified DNDC model in order to reveal impacts of ozone and carbon dioxide on growth, development, and yield formation of winter wheat by coupling the simulation about impacts of carbon dioxide on photosynthesis of winter wheat which exists in the former DNDC. In the paper, firstly assimilate allocation algorithms and some genetic parameters (such as daily thermal time of every development stage) were modified in order that DNDC can be applicable in North China. Secondly impacts of ozone on crops were simulated with two different methods-one was impacts of ozone on light use efficiency , and the other was direct effects of ozone on leaves photosynthesis. The latter simulated results are closer to experiment measurements through comparing their simulating results. At last the method of direct impacts of ozone on leaf growth is adopted and the coe cients about impacts of ozone on leaf growth and death are ascertained. Effects of climate changes, increasing ozone, and carbon dioxide concentration on agroecosystem are tried to be simulated numerically in the study which is considered to be advanced and credible.  相似文献   

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With the rapid development of industrialization and urbanization, the enrichment of tropospheric ozone and carbon dioxide concentration at striking rates has caused effects on biosphere, especially on crops. It is generally accepted that the increase of CO2 concentration will have obverse effects on plant productivity while ozone is reported as the air pollutant most damaging to agricultural crops and other plants. The Model of Carbon and Nitrogen Biogeochemistry in Agroecosystems (DNDC) was adapted to evaluate simultaneously impacts of climate change on winter wheat. Growth development and yield formation of winter wheat under different O3 and CO2 concentration conditions are simulated with the improved DNDC model whose structure has been described in another paper. Through adjusting the DNDC model applicability, winter wheat growth and development in Gucheng Station were simulated well in 1993 and 1999, which is in favor of modifying the model further. The model was validated against experiment observation, including development stage data, leaf area index, each organ biomass, and total aboveground biomass. Sensitivity tests demonstrated that the simulated results in development stage and biomass were sensitive to temperature change. The main conclusions of the paper are the following: 1) The growth and yield of winter wheat under CO2 concentration of 500 ppmv, 700 ppmv and the current ozone concentration are simulated respectively by the model. The results are well fitted with the observed data of OTCs experiments. The results show that increase of CO2 concentration may improve the growth of winter wheat and elevate the yield. 2) The growth and yield of winter wheat under O3 concentration of 50 ppbv, 100 ppbv, 200 ppbv and the based concentration CO2 are simulated respectively by the model. The simulated curves of stem, leaf, and spike organs growth as well as leaf area index are well accounted with the observed data. The results reveal that ozone has negative e ects on the growth and yield of winter wheat. Ozone accelerates the process of leaf senescence and causes yield loss. Under very high ozone concentration, crops are damaged dramatically and even dead. 3) At last, by the model possible effects of air temperature change and combined effects of O3 and CO2 are estimated respectively. The results show that doubled CO2 concentration may alleviate negative effect of O3 on biomass and yield of winter wheat when ozone concentration is about 70-80 ppbv. The obverse effects of CO2 are less than the adverse effects of O3 when the concentration of ozone is up to 100 ppbv. Future work should determine whether it can be applied to other species by adjusting the values of related parameters, and whether the model can be adapted to predict ozone e ects on crops in farmland environment.  相似文献   

8.
In part two of this series of papers on the IMS model, we present the chemistry reaction mechanism usedand compare modelled CH4, CO, and O3 witha dataset of annual surface measurements. The modelled monthly and 24-hour mean tropospheric OH concentrationsrange between 5–22 × 105 moleculescm–3, indicating an annualaveraged OH concentration of about 10 × 105 moleculescm–3. This valueis close to the estimated 9.7 ± 0.6 × 105 moleculescm–3 calculated fromthe reaction of CH3CCl3 with OH radicals.Comparison with CH4 generally shows good agreementbetween model and measurements, except for the site at Barrow where modelledwetland emission in the summer could be a factor 3 too high.For CO, the pronounced seasonality shown in the measurements is generally reproduced by the model; however, the modelled concentrations are lower thanthe measurements. This discrepancy may due to lower the CO emission,especially from biomass burning,used in the model compared with other studies.For O3, good agreement between the model and measurements is seenat locations which are away from industrial regions. The maximum discrepancies between modelled results and measurementsat tropical and remote marine sites is about 5–10 ppbv,while the discrepancies canexceed 30 ppbv in the industrial regions.Comparisons in rural areas at European and American continental sites arehighly influenced by the local photochemicalproduction, which is difficult to model with a coarse global CTM.The very large variations of O3 at these locations vary from about15–25 ppbv in Januaryto 55–65 ppbv in July–August. The observed annual O3amplitude isabout 40 ppbv compared with about 20 ppbv in the model. An overall comparison of modelled O3 with measurements shows thatthe O3seasonal surface cycle is generally governed bythe relative importance of two key mechanisms that drivea springtime ozone maximum and asummertime ozone maximum.  相似文献   

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