Estimation of mean and extreme waves in the East China Seas

Accurately estimating the mean and extreme wave statistics and better understanding their directional and seasonal variations are of great importance in the planning and designing of ocean and coastal engineering works. Due to the lack of long-term wave measurement data, the analysis of extreme waves is often based on the numerical wave hind-casting results. In this study, the wave climate in the East China Seas (including the Bohai Sea, the Yellow Sea and the East China Sea) for the past 35 years (1979–2013) is hind-casted using a third generation wave model – WAMC4 (Cycle 4 version of WAM model). Two sets of reanalysis wind data from NCEP (National Centers for Environmental Prediction, USA) and ECMWF (European Centre for Medium-range Weather Forecasts) are used to drive the wave model to generate the long-term wave climate. The hind-casted waves are then analysed to study the mean and extreme wave statistics in the study area. The results show that the mean wave heights decrease from south to north and from sea to land in general. The extreme wave heights with return periods of 50 and 100 years in the summer and autumn seasons are significantly higher than those in the other two seasons, mainly due to the effect of typhoon events. The mean wave heights in the winter season have the highest values, mainly due to the effect of winter monsoon winds. The comparison of extreme wave statistics from both wind fields with the field measurements at several nearshore wave observation stations shows that the extreme waves generated by the ECMWF winds are better than those generated by the NCEP winds. The comparison also shows the extreme waves in deep waters are better reproduced than those in shallow waters, which is partly attributed to the limitations of the wave model used. The results presented in this paper provide useful insight into the wave climate in the area of the East China Seas, as well as the effect of wind data resolution on the simulation of long-term waves.     

基于GF-2影像西藏桑耶地区岩性-构造遥感解译

西藏桑耶地区位于青藏高原中南部,区内切割强烈,地势陡峻,属于高山峡谷区。为提高区域地质调查野外工作效率,在调查中率先开展了遥感解译研究。在充分收集已有资料的基础上,通过对GF-2卫星数据进行预处理和影像增强,结合野外验证建立了各地质要素的遥感解译标志,实现了区内不同地层岩性、侵入岩、断裂和褶皱等地质要素的提取,最终编制了研究区1:5万遥感地质解译图,为区域地质调查提供了数据支撑。结果表明: 各地质要素在GF-2数据上均有良好反映,完全满足1:5万尺度的遥感地质解译和编图的需要,充分显示出该卫星数据在区域地质调查等工作中具有良好的应用前景。     

基于高分二号卫星数据的煤矿区地质灾害信息提取研究

随着遥感数据获取技术和能力的全面提高,遥感数据呈现出明显的大数据特征。发展适应于遥感大数据的智能分析和信息挖掘技术,成为当前遥感技术研究的前沿。高分二号（GF-2）卫星数据是我国首颗自主研发的亚米级高分辨率卫星数据,具有观测幅宽、重访周期短、高辐射精度、高定位精度等优势,为未来我国地质灾害的长期、动态地监测和研究提供了高精度、稳定可靠的数据源。本文选取安徽谢桥煤矿2015年1月8日的GF-2卫星影像为研究数据,在对煤矿区主要地质灾害遥感地学分析的基础上,采用面向对象的影像分析方法对研究区由采煤活动所诱发的地质灾害信息进行自动提取。结果表明：利用GF-2卫星数据能够有效地识别地质灾害体的位置、范围、形态等空间分布特征;面向对象的自动提取方法对于煤矿区大面积的积水塌陷盆地、小规模的塌陷坑和线性的地裂缝都有很高的提取精度,识别精度达90% 以上;基于逐层剔除的思路构建的提取规则,为GF-2数据在地质灾害调查和大数据分析中的应用提供了很好的技术支持,也为其它地物目标的提取提供了参考,但在特征的选择和阈值的设定上需要具体分析。     

CCSM4模式对东北气温和降水的模拟及预估

利用东北地区162个气象观测站逐月气温和降水资料对CCSM4模式的模拟性能进行了评价,并预估了2021—2050年东北地区的气候变化情景。结果表明:CCSM4模式长期历史气候模拟实验模拟的1961—2005年月平均气温、降水量值能较好地再现东北区域年平均气温、降水量的空间分布形态,但气温模拟值比观测偏低,91. 4%站点误差在1. 5℃以内;降水中心比观测略偏北,全区平均偏多35. 18 mm。2021—2050年东北区域年平均气温呈增温趋势,高纬度地区的增温幅度明显大于低纬度地区,与基准年相比,RCP2. 6、RCP4. 5和RCP8. 5情景下全区分别偏高6. 00℃、5. 86℃和6. 42℃。年降水量分布呈东南向西北递减的形态,降水大值中心出现在东南部吉林与辽宁交界处,RCP2. 6、RCP4. 5和RCP8. 5情景下全区分别偏多15. 2%、3. 1%和2. 0%。     

甘肃北山地区南金山金矿床隐爆角砾岩体的发现及成矿规律研究

地质研究发现,南金山金矿区出露的下石炭统白山组上岩组的部分岩石为隐爆角砾岩,其中厚层-块状变花岗质砂砾岩为隐爆岩浆角砾岩,厚层-块状变凝灰质砂砾岩为隐爆凝灰角砾岩。隐爆角砾岩体呈近EW向带状分布,隐爆岩浆角砾岩分布于岩体中部,构成岩体的内带,隐爆凝灰角砾岩对称分布于岩体南北两侧,构成岩体的外带。经矿床地质研究,提出了新的认识,认为该矿床的形成受隐爆角砾岩体及隐爆断裂构造的控制,金矿体分布于隐爆角砾岩体外带的隐爆凝灰角砾岩及隐爆断裂中;提出了隐爆角砾岩体外带成矿、对称成矿和双层成矿等3条矿体分布规律。采用EH-4连续电导率成像仪进行了深部地球物理测量,测量结果验证了隐爆角砾岩体控矿及其成矿规律。     

La3+ 离子掺杂钨酸铅单晶的微结构缺陷

钨酸铅晶体是一种非化学计量化合物,缺陷丰富,蕴含着利用掺杂产生新效应和开发新功能的广泛可能性。探讨了不同浓度La3 掺杂对于钨酸铅晶体发光性能的影响,如热释光、X射线激发发光、光致发光等。La3 掺杂有效地抑制了陷阱中心,使发光受到强烈的抑制,在高浓度掺杂的钨酸铅中,激发机制有所改变,通过XPS测试的结果分析了不同浓度La3 掺杂机制。低浓度掺杂中,La3 取代Pb2 ,形成缺陷复合体[2(La3Pb ).-(VPb)″];高浓度掺杂晶体中,La3 离子不但占据Pb2 位置,而且也会占据W6 位置(La3W ),产生La3 的自补偿机制,形成La3 的自补偿对[(La3W )-(La3Pb ).]-(VO)..或缺陷聚集体[3(LaP3b ).-(La3W )]。     

含部分晶须的钛酸锂的制备及其性能表征

L i4T i5O12是一种循环性能好、有很好的充放电平台、理论比容量较大、不与电解液反应的新型负极材料,研究探索以偏钛酸和碳酸锂为主要原料制备含部分晶须的尖晶石型晶型L i4T i5O12的一种方法。通过此工艺在1 000℃煅烧8 h后在样品中约20%的晶须出现,晶须的直径≤0.5μm,晶须的长度约为7μm。     

铵(氮)在岩石和矿物中地球化学行为研究进展

地壳中的氮大都以NH4 储存在矿物中.由于成岩时含氮有机物质的分解作用,氮广泛分布在沉积岩和低级变质岩中;在岩浆岩和变质岩中,氮主要以NH4 存在于含钾硅酸盐(长石和云母类)中;岩浆岩的δ(15N)值和氮浓度明显地不同于沉积物和变沉积岩,主要是由于有机物的缺乏.具有明显铵含量的火成岩主要是含钾矿物的深成岩.因而NH4 可以作为一个"示踪元素"而用于成矿作用等方面的研究.文章还提出了未来的研究方向.     

海岸水边线提取方法在GF-2卫星影像中的适应性研究

准确提取海岸水边线是海岸线变迁研究中必不可少的基本工作。本文以海南省陵水黎族自治县2016年的GF-2影像为数据源,在大气校正和正射校正等预处理的基础上,结合数学形态学处理等方法,采用NDWI (Normalized Difference Water Index)阈值法、ISOADTA (Iterative Self-Organizing Data Analysis Technique Algorithm)、SVM (Support Vector Machine)和面向对象法（Object-Oriented Classification,OOC）等4种不同方法来对海岸水边线进行提取,并对其提取结果进行定性和定量评估,进而分析比较了这4种方法在提取人工海岸、砂质海岸和基岩海岸等3种不同海岸类型的水边线时的提取效果和提取精度。结果表明,SVM方法在3种海岸水边线上的总体提取效果最好,总体提取精度最高。     

Comparison of ecophysiological characteristics between introduced and indigenous mangrove species in China

Due to its rapid growth, the introduced mangrove species Sonneratia apetala from Bangladesh has been widely used in mangrove restoration in southeastern China since 1985. As an indigenous mangrove species in Hainan, China, Sonneratia caseolaris was also planted in Guangdong Province for afforestation purposes. Both species have developed well in their new habitats, but their ecophysiological differences with the native mangrove species have not been studied. In this study, leaf gas exchange, water and nitrogen use efficiencies of two Sonneratia species were compared with those of selected native mangrove species (Avicennia marina, Aegiceras corniculatum, Kandelia candel, and Excoecaria agallocha) in Hainan and Shenzhen. The introduced S. apetala maintained lower carbon assimilation rate (A) and photosynthetic nitrogen use efficiency (PNUE) than the indigenous S. caseolaris. In Shenzhen, the two introduced Sonneratia had comparable photosynthetic rates and water use efficiency (WUE) with the native mangrove species, except that PNUE in S. caseolaris was significantly higher than in the native mangrove species. The two Sonneratia species showed significant overlap in PNUE and long-term WUE. Photosynthetic parameters derived from leaf photosynthetic light–response curves and A–C_i curves also suggested lower carbon assimilation capacities for the introduced Sonneratia than for the native mangrove species in both study sites. The lower light compensation point (LCP) of two introduced Sonneratia in both study sites also indicated a better adaptation to a low light regime than the native mangrove species. The results of photosynthetic capacities indicated that the introduced mangrove species have little competitive advantage over local native mangrove species in their respective new habitats.