Terpene emissions from European beech (shape Fagus sylvatica~L.): Pattern and Emission Behaviour Over two Vegetation Periods     

C. Holzke  T. Dindorf  J. Kesselmeier  U. Kuhn  R. Koppmann 《Journal of Atmospheric Chemistry》2006,55(1):81-102

The source strength of volatile organic compounds (VOCs) emitted by vegetation is of great interest for the understanding of processes in atmospheric chemistry and climate change. In this study terpene emissions from branches of European beech (Fagus sylvatica L.) were studied in a deciduous forest. Using the branch enclosure technique changes in the emission pattern and the variation of emission rates over the year were investigated over two consecutive vegetation periods. More than 10 monoterpene compounds were found in the emissions, among which sabinene dominates. For most compounds the emission pattern changed only slightly over the year. Interestingly, two compounds tentatively identified as para-cymene and cis-ocimene showed differences in the emission behaviour in late summer compared to the other terpenes. In contrast to previous studies our investigation characterise European beech as a strong emitter. For the main compounds the emission rates changed up to two orders of magnitude as a function of temperature and light over the day. In general, highest emission rates were observed in summer and lowest in fall. A seasonality was characterized by a temperature independent decline of emissions in late summer, resulting in changes of the standard emission rate on the order of one magnitude. A standard emission factor of up to 3.5 nmol m⁻²s⁻¹ for the sum of measured terpenes was calculated. No emissions were found in early spring even though leaves were fully developed and temperature and light conditions were moderate. The results underline the importance of characterising the annual variation of the emission behaviour. Especially for the up-scaling to global VOC emissions, seasonal influences have to be considered to achieve realistic emission inventories.  相似文献   

Regional seasonality in the intraseasonal oscillation over the Indo-Pacific Oceans     

《Dynamics of Atmospheres and Oceans》2019

The interlinked Eastern Indian Ocean (EIO) and Western Pacific Ocean (WPO), known as the Indo-Pacific warm pool, are highly active regions for intraseasonal oscillations (ISOs). Interestingly, distinct behaviors exist in ISO seasonality in these two basins. In the WPO, ISO intensity peaks in winter, decays rapidly starting from spring and reaches a minimum in summer. While in the EIO, ISO intensity exhibits a bimodal distribution, with a stronger peak in spring and a weaker one in autumn, followed by two troughs in summer and winter, respectively. Here, the regional ISO seasonality is understood in view of the regional differences in the background fields. For the bimodal ISO seasonality in the EIO, the increase from winter to spring is primarily due to elevated moisture content, the decrease from spring to summer is due to the decline in moisture and the meridional variation in vertical wind shear, and the increase from summer to autumn is mainly attributed to the meridional variation in vertical wind shear. In the WPO, the significant winter-summer contrast is mainly caused by change in moisture content.  相似文献   

Assessment of prediction performances of stochastic models: Monthly groundwater level prediction in Southern Italy          下载免费PDF全文

Boulariah O  Mikhailov PA  Longobardi A  Elizariev AN  Aksenov SG 《地下水科学与工程》2021,9(2):161-170

Stochastic modelling of hydrological time series with insufficient length and data gaps is a serious challenge since these problems significantly affect the reliability of statistical models predicting and forecasting skills. In this paper, we proposed a method for searching the seasonal autoregressive integrated moving average(SARIMA) model parameters to predict the behavior of groundwater time series affected by the issues mentioned. Based on the analysis of statistical indices, 8 stations among 44 available within the Campania region(Italy) have been selected as the highest quality measurements. Different SARIMA models, with different autoregressive, moving average and differentiation orders had been used.By reviewing the criteria used to determine the consistency and goodness-of-fit of the model, it is revealed that the model with specific combination of parameters, SARIMA(0,1,3)(0,1,2) _(12), has a high R~2 value,larger than 92%, for each of the 8 selected stations. The same model has also good performances for what concern the forecasting skills, with an average NSE of about 96%. Therefore, this study has the potential to provide a new horizon for the simulation and reconstruction of groundwater time series within the investigated area.  相似文献