Spatio-temporal variation and statistical characteristic of extreme dry spell in Yellow River Basin, China   总被引：1，自引：0，他引：1  

Dunxian She  Jun Xia  Jiyun Song  Hong Du  Junxu Chen  Long Wan 《Theoretical and Applied Climatology》2013,112(1-2):201-213

Drought is one of the most detrimental natural hazards in Yellow River Basin (YRB). In this research, spatio-temporal variation and statistical characteristic of drought in YRB is studied by using dry spell. Two extreme series, including annual maximum series (AMS) and partial duration series (PDS), are used and simulated with generalized extreme value (GEV), generalized Pareto (GP), and Pearson type III (PE3) distributions. The results show that the northern part is drier than the southern part of YRB. Besides, the maximum dry spell usually starts in October, November, and December. According to the trend analysis, mean maximum length of dry spell (MxDS) shows a negative trend in most stations. From the L-moments and Kolmogorov–Smirnov test method, it can be found that GEV model can better fit AMS while GP and PE3 can better fit PDS. Moreover, the quantiles from optimal model of AMS and PDS depict a similar distribution with values increases from south to north. The spatial distribution of scale and location parameters of GEV model for AMS shows a south-to-north gradient, while the distribution of shape parameter is a little irregularity. Furthermore, based on the linear correlation analysis, there is an evident linear relation between location and scale parameters with mean and standard variation of MxDS, respectively.  相似文献   

The First Hubai Exchange Conference On Application of Geotextiles Held in wuhan     

She Shigang 《岩土力学》1988,9(3):22-22

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Gold-Platinoid Mineralization of Metasomatically Altered Ultramafites in Precambrian Protrusions of Mamynsky Geoblok     

V.G.Khomich  V.P.Molchanov  N.G.Boriskina 《东北亚地学研究》2003,(2)

On the contiguous territories of Russia and Chi-na,along the left and right banks of the Amur Riv-er (Heilongjiang Province of China,and Amur Oblast' of Russia),among the Late Mesozoic ter-rigenous and volcano-plutonic formations,several Precambrian prot…  相似文献   

南海海域数种海藻总脂质及脂肪酸含量的比较     

黄俊辉  曾庆孝  佘纲哲 《广东海洋大学学报》2001,21(2):23-29

研究南海海域盛产的四种褐藻(海带、裙带菜、昆布和亨氏马尾藻)、三种红藻(紫菜、沙菜和江蓠)及来自南海三个不同海区(南沙、惠来和南澳)亨氏马尾藻的总脂质及脂肪酸含量干重,并重点比较其多不饱和脂肪酸的含量.结果表明,供试褐藻类海藻总脂质含量ω在1.81%～6.11%之间,红藻类海藻的总脂质含量ω在1.44%～3.96%之间;紫菜中含有7.548mg/g(干重,下同)的亚油酸(C182);海带含丰富C181,达5.592mg/g;花生四烯酸(C204)在裙带菜中含量为1.606mg/g;在供试藻种中,昆布的EPA(C20.5)和DHA(C226)含量最高,测定值为608μg/g和689μg/g.  相似文献   

A novel method for simultaneous analysis of particle size and mineralogy for Chang’E-5 lunar soil with minimum sample consumption     

Cao  Kenan  Dong  Mingtan  She  Zhenbing  Xiao  Qian  Wang  Xinyi  Qian  Yuqi  Li  Yiheng  Wang  Zaicong  He  Qi  Wu  Xiang  Zong  Keqing  Hu  Zhaochu  Xiao  Long 《中国科学:地球科学(英文版)》2022,65(9):1704-1714

Science China Earth Sciences - The successful return of lunar soil samples from the northern Oceanus Procellarum by the Chang’E 5 (CE-5) mission has provided unprecedented ground-truth...  相似文献   

新疆东天山黑白山镁铁超镁铁岩地球化学、U-Pb年代学、Hf同位素特征及地质意义     

舍建忠  冯长丽  贾健  段旭杰  邸晓辰  曹江宇  李兴俭 《新疆地质》2021,(1):30-37

黑白山镁铁超镁铁岩位于新疆中天山地块与觉罗塔格构造带的分界断裂——阿其克库都克大断裂南侧约4 km处。该岩体主要由阳起石化橄榄辉石岩、辉橄岩、辉石岩、蚀变细粒辉长岩组成,对岩体的主微量及稀土元素地球化学特征研究表明,岩体属铁质镁铁超镁铁岩,具低钾拉斑玄武质岩的分异特征;岩石具相对较低SiO₂(43.90%~52.80%)、相对富Na₂O(0.38%~2.97%),贫K₂O(0.11%~0.47%)及Na₂O>K₂O特征;MgO值变化大且较高(4.25%~32.49%),较高Mg#(63.94~82.98),相对富集轻稀土((La/Yb)N为2.03~5.76),富集大离子亲石元素Rb,Ba,U,La,亏损高场强元素Nb,Ta,Ce,Ti,强烈富集Pb,说明岩石具幔源特征和岛弧岩浆特征。LA-ICP-MS锆石UPb年龄(392.7±4.5)Ma表明,该岩体属早泥盆世岩浆活动的产物。Hf同位素等地球化学特征和岩相学显示,岩浆起源于含有早期俯冲洋壳的亏损软流圈地幔,在岩浆演化过程中受到地壳及围岩混染,但混染作用较弱。黑白山岩体的发现为北天山洋在早古生代沿阿其克库都克断裂向南俯冲提供了新的证据。  相似文献   

内蒙古东乌旗达亚纳钨-钼矿成岩成矿时代及其岩体地球化学研究     

向安平  陈毓川  佘宏全  李光明  李应栩 《地质学报》2018,92(1):107-124

内蒙古东乌旗达亚纳钨-钼矿是近年来正在勘查的一个规模有望达中型的新矿床,矿床位于兴蒙造山带中西部,矿床类型为典型的石英脉型黑钨-钼矿,黑钨矿石英脉以近于直立(75°)的平直脉体产出在黑云母花岗岩内或岩体与地层的外接触带,并向下尖灭于岩体内部,主要的矿化蚀变类型有云英岩化、钾长石化、钠长石化、硅化等。伴随黑钨矿化共生大量的辉钼矿,辉钼矿化多产出在黑钨矿石英脉两侧或石英脉内。本文在系统研究矿床地质特征的基础上,对成矿岩体——黑云母花岗岩进行了高精度LA-ICP-MS锆石U-Pb测年及地球化学分析,U-Pb测年结果显示,两件黑云母花岗岩样品(DYN-19、DYN-30)有着一致的U-Pb谐和年龄,分别为134±1Ma(MSWD=0.41)、135±1Ma(MSWD=0.52)。地球化学特征显示,岩体富硅、富碱,SiO_2平均74.43%,Na_2O+K_2O平均8.33%,Na_2O/K_2O平均0.73,明显富钾,属高钾钙碱性系列;Al_2O_3平均为12.72%,铝饱和指数A/CNK全部近1.0,为准铝质到弱过铝质花岗岩类,相对贫Mg;稀土总量较低,ΣREE变化于63.68×10~(-6)~91.11×10~(-6),表现为右倾稀土元素配分模式,弱富集轻稀土,并具有明显的负铕异常,高场强元素Th、U、Nd、Hf明显富集,而Ba、Sr、P、Ti、Nb显著亏损;为壳源重熔型花岗岩的地球化学特征。锆石Hf同位素分析显示,~(176)Hf/~(177)Hf值0.28295~0.28302,ε_(Hf)(t)值+6.4~+8.8,二阶段模式年龄值408~540Ma,年轻的二阶段模式年龄和不大的ε_(Hf)(t)正值,指示了其岩浆源区可能为新生下地壳。同时对矿区7件辉钼矿样品进行了铼-锇同位素分析测试,获得等时线年龄为133±3Ma,MSWD值为2.2。可见成岩年龄和成矿年龄在误差范围内具有一致性,为同一期地质作用的产物,即成岩成矿时代为早白垩世,属燕山期构造岩浆活动的产物。  相似文献   

Assessing the influence of climate change and inter-basin water diversion on Haihe River basin,eastern China: a coupled model approach     

Jun Xia  Qiang Wang  Xiang Zhang  Rui Wang  Dunxian She 《Hydrogeology Journal》2018,26(5):1455-1473

The modeling of changes in surface water and groundwater in the areas of inter-basin water diversion projects is quite difficult because surface water and groundwater models are run separately most of the time and the lack of sufficient data limits the application of complex surface-water/groundwater coupling models based on physical laws, especially for developing countries. In this study, a distributed surface-water and groundwater coupling model, named the distributed time variant gain model–groundwater model (DTVGM-GWM), was used to assess the influence of climate change and inter-basin water diversion on a watershed hydrological cycle. The DTVGM-GWM model can reflect the interaction processes of surface water and groundwater at basin scale. The model was applied to the Haihe River Basin (HRB) in eastern China. The possible influences of climate change and the South-to-North Water Diversion Project (SNWDP) on surface water and groundwater in the HRB were analyzed under various scenarios. The results showed that the newly constructed model DTVGM-GWM can reasonably simulate the surface and river runoff, and describe the spatiotemporal distribution characteristics of groundwater level, groundwater storage and phreatic recharge. The prediction results under different scenarios showed a decline in annual groundwater exploitation and also runoff in the HRB, while an increase of groundwater storage and groundwater level after the SNWDP’s operation. Additionally, as the project also addresses future scenarios, a slight increase is predicted in the actual evapotranspiration, soil water content and phreatic recharge. This study provides valuable insights for developing sustainable groundwater management options for the HRB.  相似文献   

Efficient gusA Transient Expression in Porphyra yezoensis Protoplasts Mediated by Endogenous Beta-tubulin Flanking Sequences     

GONG Qianhong)  YU Wengong)  *  DAI Jixun)  LIU Hongquan)  )  XU Rifu)  GUAN Huashi)  and PAN Kehou) ) College of Medicine  Pharmaceutics  Ocean University of China  Qingdao  P. R. China ) College of Marine Life Sciences  Ocean University of China  Qingdao  P. R. China ) College of Fisheries  Ocean University of China  Qingdao  P. R. China 《中国海洋大学学报(英文版)》2007,6(1):21-25

1 Introduction Porphyra yezoensis is one of the most widely con-sumed and cultivated seaweeds in the world. Over the past decades, much effort has been made in improving the cultured stocks and developing breeding techniques of alga. At present, nuclear transformation systems of eu-karyotic algae such as green unicellular alga Chlamydo-monas reinhardii (Rochaix and Dillewijn, 1982), diatom Phseodactylum tricornutum (Lioudmila et al., 2000) and simple multicellular green alga Volvox carteri (…  相似文献   

Two‐dimensional dictionary learning for suppressing random seismic noise     

Kunhong Li  Zhining Liu  Bin She  Hanpeng Cai  Yaojun Wang  Guangmin Hu 《Geophysical Prospecting》2021,69(1):85-100

Dictionary learning is a successful method for random seismic noise attenuation that has been proven by some scholars. Dictionary learning–based techniques aim to learn a set of common bases called dictionaries from given noised seismic data. Then, the denoising process will be performed by assuming a sparse representation on each small local patch of the seismic data over the learned dictionary. The local patches that are extracted from the seismic section are essentially two‐dimensional matrices. However, for the sake of simplicity, almost all of the existing dictionary learning methods just convert each two‐dimensional patch into a one‐dimensional vector. In doing this, the geometric structure information of the raw data will be revealed, leading to low capability in the reconstruction of seismic structures, such as faults and dip events. In this paper, we propose a two‐dimensional dictionary learning method for the seismic denoising problem. Unlike other dictionary learning–based methods, the proposed method represents the two‐dimensional patches directly to avoid the conversion process, and thus reserves the important structure information for a better reconstruction. Our method first learns a two‐dimensional dictionary from the noisy seismic patches. Then, we use the two‐dimensional dictionary to sparsely represent all of the noisy two‐dimensional patches to obtain clean patches. Finally, the clean patches are patched back to generate a denoised seismic section. The proposed method is compared with the other three denoising methods, including FX‐decon, curvelet and one‐dimensional learning method. The results demonstrate that our method has better denoising performance in terms of signal‐to‐noise ratio, fault and amplitude preservation.  相似文献