线阵影像GC3多视匹配模型的匹配方向线研究

针对线阵影像的几何成像特点,介绍了GC3及其改进匹配模型的匹配原理;根据模拟参数,推导了GC3多视匹配模型的同轨立体匹配方向线、异轨立体匹配方向线严密函数表达式,给出了匹配方向线分析结论;分别采用模拟数据与ADS40影像数据进行了实验分析,实验结果证明：在实际匹配过程中,匹配方向线在局部范围内可近似为直线使用。     

1961—2012年中国冬半年霾日数的变化特征及气候成因分析

利用全国664站1961—2012年逐日霾观测资料、降水量、平均风速和最大风速资料,分析中国霾日数变化特征及其气候成因。结果表明：我国年霾日数分布呈明显东多西少特征,中东部大部地区年霾日数在5～30 d,部分地区超过30 d,西部地区基本在5 d以下。霾日数主要集中在冬半年,冬季最多,秋季和春季次之,夏季最少,12月是霾日数最多的月份,约占全年霾日数的2成。我国中东部地区冬半年平均霾日数呈显著的增加趋势（1.7 d/10a）,霾日数显著增加时段主要在1960年代、1970年代和21世纪初,在1970年代初和21世纪初发生了明显均值突变。从区域分布来看,华南、长江中下游、华北等地霾日数呈增加趋势,而东北、西北东部、西南东部霾日数呈减少趋势。持续性霾过程增加,持续时间越长的霾过程比持续时间短的霾过程增加更为明显。不利的气候条件加剧了霾的出现。霾日数与降水日数在中东部地区基本以负相关为主,中东部冬半年降水日数呈减少趋势（-4 d/10a）,表明降水日数的减少导致大气对污染物的沉降能力减弱。另一方面,霾日数与平均风速和大风日数以负相关为主,而与静风日数则以正相关为主,冬半年平均风速和大风日数减小,静风日数增加,表明风速减小导致空气中污染物不易扩散,从而更易形成霾天气。     

MCC转为带状MCSs过程中水平涡度的变化与暴雨的关系

利用实况资料和WRF中尺度数值模式对2010年6月18—19日的一次MCC转带状MCSs的暴雨过程进行数值模拟与诊断分析。结果表明:850 hPa西南涡和切变线的形成与维持是影响此次暴雨产生的中尺度系统,前期MCC的形成到成熟以低涡降水为主,后期的圆形MCC转为带状MCSs主要为切变线降水。在雨区附近,u、v的垂直切变所形成的强水平涡度造成的旋转,对应垂直环流的上升支可触发暴雨产生,垂直方向上u、v不同的分布可形成不同的垂直环流。低涡与切变线附近的水平涡度有明显差异,这种差异导致暴雨形成的原因不同,低涡暴雨主要由v的垂直切变造成,切变线暴雨主要由u、v的垂直切变共同作用,本次过程中v的垂直切变构成了沿切变线的东西向雨带,u的垂直切变沿纬向的不均匀性引起的垂直运动与切变线上MCSs的生成、发展和多雨团的形成关系密切。低涡、切变线降水中心附近的正倾侧项（水平涡度向垂直正涡度转换）也有类似的差异,低涡的转换主要由?v/?p<0决定,切变线的转换主要由-?u/?p>0决定。水平涡度向垂直涡度的转换尺度较小,易在平均状态下被忽略。倾侧项主要有利于暴雨的加强,但对西南涡、切变线的发展贡献较小。      

Evapotranspiration Estimation Based on MODIS Products and Surface Energy Balance Algorithms for Land （SEBAL） Model in Sanjiang Plain, Northeast China

In this study,the Surface Energy Balance Algorithms for Land(SEBAL) model and Moderate Resolution Imaging Spectroradiometer(MODIS) products from Terra satellite were combined with meteorological data to estimate evapotranspiration(ET) over the Sanjiang Plain,Northeast China.Land cover/land use was classified by using a recursive partitioning and regression tree with MODIS Normalized Difference Vegetation Index(NDVI) time series data,which were reconstructed based on the Savitzky-Golay filtering approach.The MODIS product Quality Assessment Science Data Sets(QA-SDS) was analyzed and all scenes with valid data covering more than 75% of the Sanjiang Plain were selected for the SEBAL modeling.This provided 12 overpasses during 184-day growing season from May 1st to October 31st,2006.Daily ET estimated by the SEBAL model was misestimaed at the range of-11.29% to 27.57% compared with that measured by Eddy Covariance system(10.52% on average).The validation results show that seasonal ET from the SEBAL model is comparable to that from ground observation within 8.86% of deviation.Our results reveal that the time series daily ET of different land cover/use increases from vegetation on-going until June or July and then decreases as vegetation senesced.Seasonal ET is lower in dry farmland(average(Ave):491 mm) and paddy field(Ave:522 mm) and increases in wetlands to more than 586 mm.As expected,higher seasonal ET values are observed for the Xingkai Lake in the southeastern part of the Sanjiang Plain(Ave:823 mm),broadleaf forest(Ave:666 mm) and mixed wood(Ave:622 mm) in the southern/western Sanjiang Plain.The ET estimation with SEBAL using MODIS products can provide decision support for operational water management issues.     

A bio-optical inversion model to retrieve absorption contributions and phytoplankton size structure from total minus water spectral absorption using genetic algorithm

We propose a bio-optical inversion model that retrieves the absorption contributions of phytoplankton and colored detrital matter(CDM),as well as the phytoplankton size classes(PSCs),from total minus water absorption spectra.The model is based on three-component separation of phytoplankton size structure and a genetic algorithm.The model performance was tested on two independent datasets(the NASA bio-Optical Marine Algorithm Dataset(NOMAD) and the northern South China Sea(NSCS) dataset).The relationships between the estimated and measured values were strongly linear,especially for aCDM(412),and the Root Mean Square Error(RMSE) of the CDM exponential slope(SCDM) was relatively low.Next,the inversion model was directly applied to in-situ total minus water absorption spectra determined by an underwater meter during a cruise in September 2008,to retrieve the phytoplankton size structure in the seawater.By comparing the measured and retrieved chlorophyll a concentrations,we demonstrated that total and size-specific chlorophyll a concentrations could be retrieved by the model with relatively high accuracy.Finally,we applied the bio-optical inversion model to investigate changes in phytoplankton size structure induced by an anti-cyclonic eddy in the NSCS.     

A new record of a flathead fish (Teleostei: Platycephalidae) from China based on morphological characters and DNA barcoding

A new record of Platycephalus sp.1 (sensu Nakabo, 2002) was documented based on morphological characters and DNA barcoding. We collected 174 specimens of the genus Platycephalus from Chinese coastal waters of Dongying, Qingdao, Zhoushan, and Beihai. Samples were identified as Platycephalus sp.1 morphologically. The coloration, meristic traits, and morphometric measurements are consistent with previously published records. In brief, it is an orange-brown flathead fish with dark brown spots scattered on head and body, lateral line scales 83 to 99 with one or two spine-bearing anteriormost pored scale, no yellow blotch on the caudal fin. Cytochrome oxidase I subunit (COI) gene fragments were sequenced for phylogenetic analysis. The mean evolutionary distance within the species Platycephalus sp.1 was 0.1%. Net evolutionary distances between Platycephalus sp.1 and other species of Platycephalus ranged from 10.8% to 19.7%, which is much greater than the threshold for species delimitation. The COI sequence analysis strongly supports the validity of Platyceohalus sp.1 at genetic level.     

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Climate warming-induced upward shift of Moso bamboo population on Tianmu Mountain, China

Although increasing attention has been paid to upward shift of plant species in altitude as a response to global warming, research on this phenomenon at low altitudinal and low latitudinal zones did not receive enough attention. In this study, an investigation was carried out to test the relationship between the upward spread of Moso bamboo (Phyllostachys pubescens) along altitudinal gradient and the increasing air temperature over the past decade within the Tianmu Mountain region, situated in southeastern China. Results showed that the peak elevation of Moso bamboo population establishment rose by an average of 9.8 m (±2.7 m) during the past decade and significant correlation existed with mean annual temperature (P < 0.0001, n = 339) but not with annual precipitation (P = 0.7, n = 339), indicating that the upward shift of Moso bamboo along altitudinal gradients was driven primarily by warming temperatures. This upward shift could potentially reduce biodiversity by altering the species composition of the ecosystem. However, there is also the potential for increased carbon sequestration capacity of local forest systems, which would produce an additional carbon sink to combat rising atmospheric CO₂ concentrations and future global warming.     

Efficient risk assessment of lifeline networks under spatially correlated ground motions using selective recursive decomposition algorithm

For effective hazard mitigation planning and prompt-but-prudent post-disaster responses, it is essential to evaluate the reliability of infrastructure networks accurately and efficiently. A nonsimulation-based algorithm, termed as a recursive decomposition algorithm (RDA), was recently proposed to identify disjoint cut sets and link sets and to compute the network reliability. This paper introduces a ‘selective’ RDA, which preferentially identifies critical disjoint cut sets and link sets to calculate the probabilities of network disconnection events with a significantly reduced number of identified sets. To this end, the original RDA is improved by replacing the shortest path algorithm with an algorithm that identifies the most reliable path, and by using a graph decomposition scheme based on the probabilities associated with the subgraphs. The critical sets identified by the algorithm are also used to compute conditional probability-based importance measures that quantify the relative importance of network components by their contributions to network disconnection events. This paper also introduces a risk assessment framework for lifeline networks based on the use of the selective RDA, which can consider both interevent and intraevent uncertainties of spatially correlated ground motions. The risk assessment framework and the selective RDA are demonstrated by a hypothetical network example, and the gas and water transmission networks of Shelby County in Tennessee, USA. The examples show that the proposed framework and the selective RDA greatly improve efficiency of risk assessment of complex lifeline networks, which are characterized by a large number of components, complex network topology, and statistical dependence between component failures. Copyright © 2012 John Wiley & Sons, Ltd.