STATISTICAL ANALYSIS ON THE INFLUENCE OF THE LANDFALLING STRONG TROPICAL CYCLONES IN THE CATASTROPHIC MIGRATIONS OF NILAPARVATA LUGENS(STL) IN CHINA

In order to clarify the statistical pattern by which landfalling strong tropical cyclones(LSTCs)influenced the catastrophic migrations of rice brown planthopper(BPH),Nilaparvata lugens(stl)in China,the data of the LSTCs in China and the lighting catches of BPH that covered the main Chinese rice-growing regions from 1979 to 2008 were collected and analyzed in this work with the assistance of ArcGIS9.3,a software of geographic information system.The results were as follows:(1)In China,there were 220 strong tropical cyclones that passed the main rice-growing regions and 466 great events of BPH’s immigration in the 30 years from 1979 to 2008.73 of them resulted in the occurrence of BPH’s catastrphic migration(CM)events directly and 147 of them produced indirect effect on the migrations.(2)The number of the LSTCs was variable in different years during 1979 to 2008 and their influence was not the same in the BPH’s northward and southward migrations in the years.In the 30 years,the LSTCs brought more obvious influence on the migrations in 1980,1981,2005,2006 and 2007.The influence was the most obvious in2007 and all of the 7 LSTCs produced remarkable impact on the CMs of BPH’s populations.The effect of the LSTCs on the northward immigration of BPH’s populations was the most serious in 2006 and the influence on the southward immigration was the most remarkable in 2005.(3)In these years,the most of LSTCs occurred in July,August and September and great events of BPH's immigration occurred most frequently in the same months.The LSTCs played a more important role on the CM of BPH’s populations in the three months than in other months.(4)The analysis on the spatial distribution of the LSTCs and BPH’s immigration events for the different provinces showed that the BPH’s migrations in the main rice-growing regions of the Southeastern China were influenced by the LSTCs and the impact was different with the change of their spatial probability distribution during their passages.The most serious influence of the LSTCs on the BPH’s migrations occurred in Guangdong and Fujian provinces.(5)The statistical results indicated that a suitable insect source is an indispensable condition of the CMs of BPH when a LSTC influenced a rice-growing region.     

不确定度在多波束测深数据质量评估中的应用

在海道测量中,由于无法对测量数据进行多余和重复观测,因而不能精确测定各种误差,同时也几乎没有测量成果质量的控制指标,这正是多波束测深数据质量评估所面临的现实且急需解决的难题。基于国际海道测量规范S-44(5th)的要求,研究了不确定度在多波束数测深数据质量评估中的应用。通过实例分析可知,测量结果的可用性在很大程度上取决于其不确定度的大小,不确定度越小,说明测量结果质量越高,越具有可靠性。因此,将不确定度充分合理地应用于多波束测深数据处理和评估是一种最为理想的途径。     

声速剖面EOF表示对多波束水深数据的影响研究

基于实测数据,将测区内声速剖面进行EOF表示,进而采用常梯度分层声线跟踪法对EOF表示的声速剖面和实测声速剖面进行比对,统计有效波束比。比对结果表明:采用EOF表示的声速剖面进行的水深数据改正能够满足多波束水深测量的精度指标要求,论证了采用EOF方法表示多波束勘测水深声速剖面场的有效性。     

2004年苏门答腊地震前后海面高趋势的变化

利用苏门答腊附近海域T/P、Jason-1测高卫星近20年的海面高连续观测资料,分别计算了该区域(80°E~105°E,5°S~20°N)在2004年苏门答腊大地震前后的海面高变化趋势,并与该区域对应时间段GRACE重力卫星反演的地表质量迁移结果进行比较。研究结果表明,由卫星测高观测资料估算的震区地震前后海平面趋势的变化与卫星重力反演结果基本一致。由于卫星测高沿轨观测具有高精度、高时空分辨率的特性,卫星测高资料估算的海平面趋势变化可以更为准确地反映震区海平面变化的局部特征。还对该区域震后形变特征进行了初步分析。     

人工诱导栉孔扇贝雌核发育胚胎的SNP标记分析

利用紫外线照射灭活的同源精子,激活栉孔扇贝(Chlamys farreri)卵子分裂,获得雌核发育胚胎,流式细胞仪检测胚胎细胞平均单倍体率为82.5%。对获得的胚胎进行全基因组扩增,获得足量的基因分型模板,利用高分辨率溶解曲线(HRM)技术对其进行96个单核苷酸多态性(SNP)位点分型。结果显示,诱导雌核发育胚胎的位点检出率为96.27%,其中99.06%的位点分型结果与相应雌性亲本相符;单个胚胎中只表现一种等位形式的位点占91.67%~96.88%,平均为94.81%,较雌性亲本的纯合位点比例(64.25%)明显提高。本研究利用灭活同源精子诱导获得栉孔扇贝雌核发育胚胎,并利用单个胚胎的全基因组扩增产物进行基因位点分析,为扇贝人工诱导雌核发育个体的早期多基因位点检测和评价提供参考。     

The Second Decadal Leading Mode of East Asian Summer Monsoon Rainfall

The first decadal leading mode of East Asian summer rainfall （EASR） is characterized by rainfall anomalies along the East Asian subtropical rain belt. This study focuses on the second decadal leading mode （2DLM）, accounting for 17.3% of rainfall decadal vari- ance, as distinct from the other two neighboring modes of EAMR, based on the state-of-the-art in-situ rainfall data. This mode is characterized by a South-China-wet-Huaihe- River-dry pattern, and is dominated by a quasi-30-yr pe- riod. Further analysis reveals the 2DLM corresponds to an enhanced lower-level monsoon jet, an eastward extension of the western North Pacific subtropical high, and a weakened East Asian upper-level westerly jet flow. The Tibetan Plateau surface temperature and Pacific Decadal Oscillation （PDO） are closely linked with the 2DLM. The regressed SST pattern indicates the PDO-like pattern of sea surface temperature anomalies may have a telecon- nection relationship with the 2DLM of EASR.     

颗粒态有机物在长江口及其邻近海域的夏季分布和影响因素初析

利用气相色谱法对长江口及其邻近海域的表层颗粒态木质素(p-lignin)进行测定和分析,结合粒度、有机碳(OC%)、叶绿素a(Chl a)、碳稳定同位素(δ13C)等参数研究颗粒态有机物的夏季分布,并对其分布影响因素进行了初步分析。结果表明,悬浮颗粒物粒度组成以粘土和粉砂为主,平均粒径为7.9μm;OC%的值为0.57—7.41%,Chl a的值为0.35—3.71μg/L,δ13C的值为-25.7‰—–16.6‰,在口门外水华站位出现OC%、Chl a和δ13C的最大值,表明浮游生物的现场生产是主要贡献;紫丁香基酚类(S)、香草基酚类(V)和肉桂基酚类(C)8种木质素酚单体的含量Λ8(相对于总有机碳的含量)为0.0406—1.47mg/100mg OC;紫丁香基系列与香草基系列的质量比值(S/V)的分布范围较宽,为0.5—1.6之间,均值为0.8;肉桂基含量与香草基含量比值(C/V)的分布范围为0.02—0.2之间,均值为0.09;香草基酚类的酸醛比值[(Ad/Al)v]在0.24—2.30之间。盐度、总悬浮颗粒物(TSM)浓度是控制长江口内区与邻近海域颗粒态有机物来源与分布差异的重要控制因素,颗粒态木质素在向海输送过程中还会受到矿物组分、生物降解、浮游生物现场生产等各种因素的作用,使其组成成分和性质发生改变。木质素等参数表明最大浑浊带尽管对颗粒态有机物向海输送有改造作用,但是影响区域有限。     

多旋翼无人机群自主探测大气边界层气象要素的模式分析

深入研究大气边界层气象现象的发生、发展、消散机制,需要获取三维同步气象要素数据,而现有探测技术与手段难以提供.因此,提出利用多旋翼无人机群进行自主探测大气边界层气象要素的探测模式,并就探测模式的背景与意义、特点与优势、流程与可行性,以及需要进一步研究的相关科学问题进行了分析,认为多旋翼无人机群自主探测大气边界层气象要素的探测模式针对性、灵活性、机动性、可操作性强,并具有自主动态同步探测、自主智能追踪探测等功能.     

不同土壤水分对向日葵光合光响应的影响

以食用向日葵为试验材料,大田试验采取人为控制土壤水分在胁迫、适宜和过湿 (土壤田间持水量的40%~54.9%,55%~69.9%和70%~90%) 条件下,研究了向日葵3个生育期 (二对真叶—花序形成期、花序形成—开花期、开花—成熟期) 的光合光响应特性。结果表明:在试验设置光强条件下,各生育期净光合速率随着光合有效辐射的增加而增加,同等的光合有效辐射下净光合速率也随着土壤水分的减少依次降低,尤其是随着光合有效辐射的增大愈加明显。土壤湿度对最大净光合速率和表观量子效率的影响并不是同步的,最大净光合速率随着土壤湿度的增加而增大,而表观量子效率在一定程度的水分胁迫情况下出现最大值。不同的土壤水分含量对光补偿点和光饱和点影响不同,光饱和点随着土壤水分的增加而增加,光补偿点却相反,表明水分胁迫使向日葵可利用光的范围缩小,而适宜水分则扩大了光的利用范围,更有利于干物质积累。暗呼吸速率随着植物的生长进程逐渐降低,不同生育期的水分胁迫均导致暗呼吸速率降低。     

基于区域参考框架的GNSS滑坡监测

区域参考框架是实现高精度区域大地形变观测和滑坡灾害长期监测的基础设施。结合活动地块的划分和长期的GNSS观测结果,笔者将我国大陆和海域初步划分为7个“刚性骨架地块”,简称“刚性地块”,拟建立覆盖我国陆海全域的区域参考框架系列:东北、华北、华南、西北、青藏、川滇及南海参考框架。本文介绍了从全球参考框架(IGS14)到区域参考框架的坐标转换方法,并例举了华北参考框架(NChina20)和华南参考框架(SChina20)在滑坡长期监测和滑坡初动自动识别领域的应用。