Seasonal variability of leaf litter removal by crabs in a Kandelia candel mangrove forest in Jiulongjiang Estuary, China

The seasonal variability of leaf litter removal by crabs was observed from May 2006 to April 2007 in a Kandelia candel mangrove forest in Jiulongjiang Estuary, China. Daily average quantities of leaf fall ranged 0.85–3.86 gDW m⁻² d⁻¹, with high values in May, August, October and November. The whole-year's leaf fall was 6.48 t ha⁻¹ yr⁻¹ (1.81 gDW m⁻² d⁻¹). The standing stock of leaf litter on the forest floor was 7.78 gDW m⁻² averaged from the whole year's data, with the lowest value in December (1.23 gDW m⁻²) and the highest in April (16.18 gDW m⁻²). Annually averaged removal (consumption on mangrove floor + burial in burrows) rate of leaf litter by crabs was 0.59 gDW m⁻² d⁻¹. High seasonal variability was observed in the removal rates of leaf litter by crabs. Removal rates in the winter months (December, January and February) were 0.07–0.09 gDW m⁻² d⁻¹, much lower than those in other months with values of 0.59–1.18 gDW m⁻² d⁻¹. Annually averaged percentage of leaf fall removed by crabs was 33%, with the highest values in September (reached 76%) and the lowest values in winter months. Of leaf litter removed by crabs, a large proportion was buried by crabs, and only 12% was consumed by crabs on the forest floor. Leaf litter removal rate, consumption rate on the forest floor, percentages of leaf fall and standing stock removed on the forest floor were significantly positively correlated with air temperature, indicating that leaf removal ability by crabs was higher in warm months than in cold months.     

一种H.264帧内模式选择快速算法

基于空域的帧内预测是H．264采用的一项重要技术，对编码性能的提高具有重要作用。但是由于支持的帧内预测模式较多，使用率失真优化模型计算的编码复杂度很高。利用像素边缘方向信息，相邻块预测模式间的相关性提出了一种帧内模式选择快速算法，可以预先排除约60％的预测模式，从而减小对率失真优化模型的调用。实验结果表明，算法在基本保持H．264原算法性能的同时，编码时间减少70％以上。     

GeoVisuals: a visual analytics approach to leverage the potential of spatial videos and associated geonarratives

ABSTRACT

Videos embedded with spatial coordinates, especially when combined with additional expert insights, offer the potential to acquire fine-scale multi-time period contextualized data for a variety of different environments. However, while these geospatial multimedia (GSMM) data include abundant spatiotemporal, semantic and visual information, the means to fully leverage their potential using a suite of visual and interactive analysis techniques and tools has thus far been lacking. In this paper, we address this gap by first identifying the types of tasks required of GSMM data, and then presenting a solution platform. This GeoVisuals system utilizes a visual analysis approach built on semantic data points that can be integrated spatially, which in turn enables management in a unified database with combined spatio-temporal and text querying. A set of visualization functions are integrated in two investigation modes: geo-video analysis and geo-location analysis.     

A modified monthly degree‐day model for evaluating glacier runoff changes in China. Part I: model development

The retreat of mountain glaciers and ice caps has dominated the rise in global sea level and is likely to remain an import component of eustatic sea‐level rise in the 21st century. Mountain glaciers are critical in supplying freshwater to populations inhabiting the valleys downstream who heavily rely on glacier runoff, such as arid and semi‐arid regions of western China. Owing to recent climate warming and the consequent rapid retreat of many glaciers, it is essential to evaluate the long‐term change in glacier melt water production, especially when considering the glacier area change. This paper describes the structure, principles and parameters of a modified monthly degree‐day model considering glacier area variation. Water balances in different elevation bands are calculated with full consideration of the monthly precipitation gradient and air temperature lapse rate. The degree‐day factors for ice and snow are tuned by comparing simulated variables to observation data for the same period, such as mass balance, equilibrium line altitude and glacier runoff depth. The glacier area–volume scaling factor is calibrated with the observed glacier area change monitored by remote sensing data of seven sub‐basins of the Tarim interior basin. Based on meteorological data, the glacier area, mass balance and runoff are estimated. The model can be used to evaluate the long‐term changes of melt water in all glacierized basins of western China, especially for those with limited observation data. Copyright © 2011 John Wiley & Sons, Ltd.     

One mechanism of production of additional components in emission lines of the spectra of active galaxies

A new mechanism is suggested to explain the physical phenomenon of the appearance of additional new emission components of hydrogen lines in the spectra of active galactic nuclei (AGNs). The mechanism is based on the assumption that a dense clump of hydrogen is ejected from an AGN and expands rapidly due to a presumed explosion. Two main features of this phenomenon are explained fairly simply: a) the pronounced shift of the additional components from the main components (up to several thousand kilometers per second); b) the large width of the additional components, reaching 100–200 Å. The large share of emission by the additional components in comparison with the main lines is also explained well. Estimates obtained for the physical parameters of the new formations in AGNs fit well into modern concepts of AGNs and the forms of their activity.     

Estimating and mapping snow hazard based on at-site analysis and regional approaches

The estimation of snow hazard and load faces the small sample size effect because of the short snow depth record at a station. To reduce such an effect, we propose to estimate the return period value of the annual maximum ground snow depth S, s_T, for Canada sites by applying the regional frequency analysis (RFA) and the region of influence approach (ROIA). The use of RFA and ROIA to map Canadian snow hazard is new. The comparison of their performance for snow hazard mapping has not been explored in the literature. We also consider the at-site analysis approach (ASA) for estimating s_T by using three often used probability distributions for S. A comparison of the estimated s_T by using the three approaches (ASA, RFA, ROIA) indicates that there is considerable scatter between the estimated s_T value although the identified overall spatial trends of s_T are similar. It is shown that the two-parameter lognormal distribution for S at most Canadian sites, based on the at-site analysis, is preferred; this differs from the Gumbel distribution used to develop the design snow load in Canadian structural design code. The new findings indicate that it is valuable to consider the lognormal distribution for developing design snow load for Canadian sites.

     

二连盆地伊和高勒地区下白垩统赛汉组沉积特征

为揭示二连盆地马尼特坳陷伊和高勒地区下白垩统赛汉组沉积特征,文章通过综合分析研究区内露头剖面、钻孔等,较为精细地研究了赛汉组岩性特征、地层空间展布特征、底板埋深分布特征、沉积相类型、沉积相展布特征等。研究区赛汉组分布范围广,具有东厚西薄的格局。底板埋深东部深西部浅,西部发育构造斜坡。西部为砂岩与泥岩,砂岩富炭屑;东部为砂砾岩与泥岩,砂砾岩中含炭屑。发育南、北两个方向物源,北部物源占主导作用。西部发育辫状河三角洲,砂体发育,"泥-砂-泥"结构好,为砂岩型铀矿最有利的沉积相带;东部发育扇三角洲,砂体极为发育,"泥-砂-泥"结构较好,为砂岩型铀矿较为有利的沉积相带;中部为半深湖-滨浅湖,砂体不发育,不利于砂岩型铀成矿。     

河南兰考地区地热回灌影响因素分析及对策

地热回灌是保障地热资源可持续开发利用的关键环节之一。本文结合河南兰考地区热储层地质条件、水质特点、地热井井管材质,开展了室内腐蚀观察实验和PHREEQC地球化学模拟软件分析,从化学沉淀趋势、地热水腐蚀性和钻井成井工艺方面分析了回灌效果的影响因素,并从地热水水质处理、地热井井管材料选择、钻井与成井工艺优化、回灌温度、项目选址等方面提出提高回灌效果的建议。     

Genesis of Re-rich Molybdenite in the Baishan Mo deposit,Eastern Tianshan,Xinjiang, Northwest China

The Baishan molybdenum deposit is located in the central part of the Eastern Tianshan-Beishan tectonic belt, NW China. The deposit is hosted in early Carboniferous Gandun Formation biotite-rich hornfels and is genetically related to unexposed granodiorite porphyry beneath the orebodies. The molybdenite occurs in three different types from early to late stage: Molybdenite - Fe-Cu-sulfides - K-feldspar - quartz veins (Group 1); Molybdenite - Fe-Cu-sulfides - quartz veins (Group 2); and disseminated molybdenite in the wall rock (Group 3). Rhenium concentrations in the molybdenite grains range from 108 to 277 ppm in Group 1, 69–121 ppm in Group 2 and 46–135 ppm in Group 3. The Re concentrations of molybdenite in the Baishan Mo deposit decrease from early to late and from the center to periphery, and molybdenite types vary from the 2H₁ poly-type in Groups 1 and 2 to the 2H₁ + 3R2H₁ poly-type in Group 3, based on X-ray diffraction results. The Re-enriched molybdenite probably formed from an oxidized magmatic fluid that separated from a highly oxidized and H₂O- and volatile-enriched adakitic intrusion generated in the lower crust.