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????Lemke???????в??????????????????????????????????в???????????С?????????????????ι滮?????????????ι滮??Kuhn??Tucker????????ι滮?????????LCP??????????Lemke?????????????????ò?????С????????????????????????????????á?     

The suspended sediment concentration distribution in the Bohai Sea, Yellow Sea and East China Sea

The distribution of the suspended sediment concentration (SSC) in the Bohai Sea, Yellow Sea and East China Sea (BYECS) is studied based on the observed turbidity data and model simulation results. The observed turbidity results show that (i) the highest SSC is found in the coastal areas while in the outer shelf sea areas turbid water is much more difficult to observe, (ii) the surface layer SSC is much lower than the bottom layer SSC and (iii) the winter SSC is higher than the summer SSC. The Regional Ocean Modeling System (ROMS) is used to simulate the SSC distribution in the BYECS. A comparison between the modeled SSC and the observed SSC in the BYECS shows that the modeled SSC can reproduce the principal features of the SSC distribution in the BYECS. The dynamic mechanisms of the sediment erosion and transport processes are studied based on the modeled results. The horizontal distribution of the SSC in the BYECS is mainly determined by the current-wave induced bottom stress and the fine-grain sediment distribution. The current-induced bottom stress is much higher than the wave-induced bottom stress, which means the tidal currents play a more significant role in the sediment resuspension than the wind waves. The vertical mixing strength is studied based on the mixed layer depth and the turbulent kinetic energy distribution in the BYECS. The strong winter time vertical mixing, which is mainly caused by the strong wind stress and surface cooling, leads to high surface layer SSC in winter. High surface layer SSC in summer is restricted in the coastal areas.     

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四川省旅游景区空间分布差异研究

以四川省为研究区域,利用数理统计方法及GIS技术,采用资源丰裕度指数、变异系数、均衡度指数及均衡比系数,对A级旅游景区空间分布差异进行测度。结果表明：整体层面,旅游景区空间分布均衡程度由大到小依次是5A级景区、4A级景区、3A级景区、所有景区、2A级景区;市际层面,各州市旅游景区空间分布差异较大,旅游景区分布最多、丰裕度最高的是成都;四类均衡比系数显示,交通均衡比系数较小,其次是经济均衡比,表明交通和经济因素对四川省旅游景区空间分布影响最大,经济越发达,交通越通达,旅游景区空间分布越均衡;在此差异测算基础上,提出四川省旅游景区空间布局优化建议。     

丽江高美古台址和2m级望远镜项目(英文)

自 1992年起云南天文台开始了在云南省西北部的天文选址。丽江高美古最终被选择作为未来中国地基天文光学观测的新址点。并且 ,在国家科技部 ,云南省政府 ,以及中科院的支持下 ,2m级天文望远镜项目在 2 0 0 0年 12月获得立项。在文中 ,我们简要的介绍了高美古台址的情况 ,并给出了 2 .4m望远镜的详细情况 ,以及其他相关情况。     

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日冕中无衰减振荡的研究进展

日冕中冕环的无衰减横向振荡(简称无衰减振荡)自2012年被发现以来,受到了广泛的关注.无衰减振荡具有在日冕中广泛存在以及振幅无明显变小的特性,使之在解释日冕加热和冕震学诊断上都具有相当的潜力.总结了日冕中无衰减振荡的研究进展,包括观测研究得到的一系列结果、提出的理论和数值模型以及基于无衰减振荡进行冕震学诊断的一些尝试,并且展望了未来可以进一步开展的研究.     

青藏高原典型植被生长季遥感模型提取分析

物候变化是衡量全球气候变化最直接、敏感的指示器,针对青藏高原这个独特地域单元上特殊的高寒植被进行关键物候期遥感提取模型及植被物候时空变化的研究具有重要的意义。本文首先以反距离加权空间插值算法与Savitzky-Golay滤波算法相结合的数据重建模型获得高质量2003-2012年青藏高原MODIS归一化植被指数(NDVI)数据。在此数据基础上,分别利用动态阈值法、最大变化斜率法、logistic曲线拟合法3种遥感植被生长季提取模型,对青藏高原地区两种典型植被的生长季(SOS生长季开始期,EOS生长季结束期,LOS生长季长度)进行提取。通过对3种模型提取结果的对比分析,并结合日均温模型对提取结果的验证发现,动态阈值法为青藏高原地区典型植被生长季的最优遥感提取模型。该模型对近10 a的高分辨率典型高寒植被物候参量的反演及时空变化特征分析表明,受青藏高原水热及海拔梯度的影响,青藏高原植被物候变化呈现出从东南向西北的空间分异规律,随春季温度的升高,近10 a来青藏高原高寒草地总体呈现生长季开始期(SOS)提前(0.248 d/a)的趋势。     

异育银鲫气单胞菌病原菌鉴定和药敏试验

从患病异育银鲫体内分离到5株可疑菌株,经API 20NE细菌生化鉴定,YCS07-03和YZ07-11株鉴定率为99.2%和99.3%。注射感染中5×108 CFU.mL-1剂量组表现出较强的致病性,12 d死亡率100%。菌株在营养肉汤培养液中呈均匀混浊状;在营养琼脂平皿中呈灰白色半透明菌落;在血琼脂培养基中呈光滑灰白色菌落,YZ07-11株出现透明的β溶血环;在TCBS培养基呈黄色菌落;在SS和麦康凯培养基中形成无色透明的扁平菌落。经负染电镜观察,菌株两端圆,呈直杆状,无芽孢,极生单鞭毛,菌株大小(短径×长径)分别为1.53μm×2.71μm和0.80μm×2.12μm。菌株经生化实验鉴定为温和气单胞菌(Aeromonas sobria)和嗜水气单胞菌(Aeromonas hydrophila)。试验结果表明:菌株对丁胺卡那霉素、头孢噻肟、庆大霉素、左氟沙星、复合磺胺、氟嗪酸、洛美沙星、复方新诺明、链霉素和新霉素均产生高度敏感;对万古霉素为中度敏感;氨苄青霉素、羧苄青霉素、强力霉素和青霉素产生耐药。