Summary Regional climate model and statistical downscaling procedures are used to generate winter precipitation changes over Romania
for the period 2071–2100 (compared to 1961–1990), under the IPCC A2 and B2 emission scenarios. For this purpose, the ICTP
regional climate model RegCM is nested within the Hadley Centre global atmospheric model HadAM3H. The statistical downscaling
method is based on the use of canonical correlation analysis (CCA) to construct climate change scenarios for winter precipitation
over Romania from two predictors, sea level pressure and specific humidity (either used individually or together). A technique
to select the most skillful model separately for each station is proposed to optimise the statistical downscaling signal.
Climate fields from the A2 and B2 scenario simulations with the HadAM3H and RegCM models are used as input to the statistical
downscaling model. First, the capability of the climate models to reproduce the observed link between winter precipitation
over Romania and atmospheric circulation at the European scale is analysed, showing that the RegCM is more accurate than HadAM3H
in the simulation of Romanian precipitation variability and its connection with large-scale circulations. Both models overestimate
winter precipitation in the eastern regions of Romania due to an overestimation of the intensity and frequency of cyclonic
systems over Europe. Climate changes derived directly from the RegCM and HadAM3H show an increase of precipitation during
the 2071–2100 period compared to 1961–1990, especially over northwest and northeast Romania. Similar climate change patterns
are obtained through the statistical downscaling method when the technique of optimum model selected separately for each station
is used. This adds confidence to the simulated climate change signal over this region. The uncertainty of results is higher
for the eastern and southeastern regions of Romania due to the lower HadAM3H and RegCM performance in simulating winter precipitation
variability there as well as the reduced skill of the statistical downscaling model. 相似文献
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants in the urban atmosphere. An investigation on seasonal variation of PAHs in the urban atmosphere of Guangzhou, China was conducted in this study. 112 PM10 (particulate matter with aerodynamic diameter < 10 μm) samples were collected at two sites between June 2002 and June 2003. PAHs were analyzed with GC–MS (gas chromatography–mass spectrometry). The result showed that PAHs exhibit distinct seasonal variation. The seasonal concentration for the ∑PAHs ranged from 8.11 to 106.26 ng m− 3. The average ∑PAHs measured were highest in winter and lowest in summer. The PAHs distribution patterns were similar within each season at two sites. 5–6 ring PAHs were the abundant compounds, which accounted for 65–90% of ∑PAHs and benzo [b + k] fluoranthene dominated in four seasons. The PAHs concentration and distribution pattern fluctuated greatly in winter for the cold air current. Based on the different temperature in winter, the samples were split into two groups. PM10 and the abundance of the PAHs in winter-1 (temperature, 12–22 °C) were much greater than in winter-2 (temperature, 8–12 °C). In winter-1 benzo [b + k] fluoranthene and Indeno [1, 2, 3] pyrene dominated while chrysene and benzo [b + k] fluoranthene dominated in winter-2. Meteorological conditions such as wind speed and temperature had a strong influence on the seasonal variation. Potential sources of PAHs were identified using the molecular diagnostic ratios between PAHs. Results showed fossil fuel combustion may be the major source of PAHs at the two sites. 相似文献
Many kinds of ichnofossil Zoophycos occur commonly in the carbonate rocks of Pennsylvanian to Cisuralian Taiyuan Formation in North China. In this study, carbonate microbodies types were identified in four differently-colored fillings of Zoophycos using scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS). Based on the morphologic characteristics, these carbonate microbodies can be divided into three groups, i.e., spheroids,framboids and rhabditiforms. According to the structural features of surface and individual or aggregate morphologies,the three groups can be further subdivided into thirteen types:(1) smooth spheroids;(2) spheroids with tiny thorns;(3)spheroids with a finely granulated surface;(4) spheroids with a flocculent surface;(5) spheroids with a vermiform surface;(6) framboid monomers;(7) framboid colonies;(8) linear smooth rhabditiform bodies;(9) smooth rhabditiform bodies with expanding ends;(10) biserial rhabditiform bodies;(11) spiral rhabditiform bodies;(12) thorny rhabditiform bodies; and(13) branched rhabditiform bodies. This paper not only describes the morphology, composition and occurrence of the various carbonate microbodies, but also discusses their possible microbial genesis, as follows:(1)carbonate spherical microbodies most likely were generated after globular bacterial cells had been fully displaced by minerals;(2) framboid monomers and colonies corresponding to the morphology of biogenic strawberry(or raspberry)pyrite, with their appearance and internal structure possibly inheriting the morphology of microbial cells, were indirectly generated by some microenvironmental changes due to microbial activity;(3) the morphological features,size, occurrences and preservation of filamentous and rhabditiform microbodies indicate that they may be biogenic structures, and possibly mineralized microbial fossils; and(4) some kind of symbiotic relationship exists between microbial action and the Zoophycos trace-makers. Besides, the differently-colored fillings of Zoophycos are most likely closely related to differences in the composition of microbial taxa, which in turn reflect different microenvironmental conditions. 相似文献
An annual investigation on phytoplankton communities was conducted to reveal the effects of nutrients on phytoplankton assemblages in Lake Taihu,East China. A total of 78 phytoplankton taxa were identified. Phytoplankton biomass was higher in the northern part of the lake than in the southern part. Cyanobacteria and Bacillariophyta alternated dominance in the northern area,where algal blooms often appear,and co-dominated in the southern area. In the northern part,the proportions of cyanobacteria and Bacillariophyta varied significantly in total biovolume,both along the phosphorus(P) gradient,and between total nitrogen levels(≤3 mg/L and 3 mg/L TN). The proportions of cyanobacteria and Bacillariophyta had no signif icant variations in total biovolume along P and N(nitrogen) gradients in the southern part. Correlation analysis and CCA results revealed that P was the key factor regulating phytoplankton community structure. Nitrogen was also important for the phytoplankton distribution pattern. It was concluded that nutrient structure was heterogeneous in space and shaped the distribution pattern of phytoplankton in the lake. Both exogenous P and internally sourced Prelease needs to be considered. N reduction should be considered simultaneously with P control to efficiently reduce eutrophication and algal blooms. 相似文献
Geotechnical and Geological Engineering - The samples of slightly weathered granite drilled before the construction of Runyang suspended bridge's north anchorage are used as the research object... 相似文献
Plane failure of rock slope is highly related to the inclination of the weak plane. The inclination of the weak plane is a general function of factors including: height of slope, factor of safety, horizontal coefficient of earthquake influence, inclination of slope, unit weight of rockmass, cohesion and friction angle on the plane. The closed-form solution of the critical inclination of the weak plane corresponding respectively is derived under two conditions (i.e., without earthquake and with earthquake), because the critical height of slope and the critical factor of safety are considered to and are easy to be adjusted in engineering practice. In the end, the relations between derived critical closed-form solution and each parameter are illustrated with an example.