A multi-scale 3-D crust velocity model in the Hefei-Chao Lake area around the southern segment of Tanlu Fault Zone

Regional high-precision velocity models of the crust are an important foundation for examining seismic activity, seismogenic environments, and disaster distribution characteristics. The Hefei-Chao Lake area contains the main geological units of Hefei Basin, with thick sediments and the Chao Lake depression. Several major concealed faults of the southern NNE-trending Tanlu Fault Zone cross this area. To further explore the underground distribution characteristics of the faults and their tectonic evolutionary relationship with adjacent tectonic units, this study used ambient noise data recorded by a seismic array deployed in Hefei City and Chao Lake, constructing a 3-D velocity model at the depth of 1–8 km. Then a multi-scale high-resolution 3-D velocity model of this area was constructed by this new upper crustal velocity model with the previous middle and lower crustal model. The new model reveals that a high-velocity belt is highly consistent with the strike of the Tanlu Fault Zone, and a low-velocity sedimentary characteristic is consistent with the Hefei Basin and Chao Lake depression. The distribution morphology of high and low velocity bodies shows that the sedimentary pattern of Hefei-Chao Lake area is closely related to the tectonic evolution of the Tanlu Fault Zone since the Mesozoic. This study also identifies multiple low-velocity anomalies in the southeastern Hefei City. We speculate that strong ground motion during the 2009 Feidong earthquake (magnitude of 3.5) was related to amplification by the thick sediments in the Hefei Basin. We also discuss further applications of multi-scale high-resolution models of the shallow layer to strong ground motion simulations in cities and for earthquake disaster assessments.     

云凝结核浓度对南京地区一次冰雹云过程影响的数值研究

采用WRF模式与包含了云凝结核(Cloud Condensation Nuclei,CCN)浓度和霰雹密度预报的NSSL(National Severe Storm Laboratory,国家强风暴实验室)微物理方案,模拟不同CCN初始浓度条件下南京地区的一次冰雹云过程,分析不同CCN初始浓度影响下冰雹云过程的宏微观演变特征,以及对流发展不同阶段的水凝物粒子及流场、温度场的垂直分布特征。研究发现:1)较大的CCN初始浓度虽然抑制了前期对流降水,但对后期对流降水的产生有促进作用;2)CCN初始浓度的增加使得模拟雷达回波的强回波区域(大于40 dBz)缩小,中等强度区域(小于40 dBz)扩张。3)CCN初始浓度增大不利于对流发展初期云雨自动转化过程的发生,但是促进了冰晶与雪的产生,使得冰雹含量峰值出现的时间推迟。4)CCN浓度增大抑制了雨水产生,间接使得霰粒子更倾向于干增长,平均密度更小;5)较大的CCN浓度促使冰雹云单体的发展时间增长。     

基于数据驱动的无人机编队最优控制算法设计

无人机编队具有广泛的应用价值和发展前景,然而,无人机动力学模型的非线性和耦合性,以及实际应用中的不确定性限制了其应用。为了解决模型不精确问题,提出了一种数据驱动的自适应动态编程（ADP）最优编队控制器设计方法。该方法结合了分布式一致性和线性二次方相关理论。首先,通过建立虚拟领航–跟随者模型,可以将四旋翼无人机的复杂非线性动力学模型简化为4个线性子系统,并解耦它们的相互影响;接下来,针对每个子系统设计编队控制器;随后应用李雅普诺夫理论对算法进行稳定性分析;最后通过仿真,验证了所提算法的稳定性和有效性。     

中国土地利用空间格局刻画方法研究

土地利用空间格局研究是土地利用/覆盖变化（LUCC）理论和实践的基础,对土地利用空间格局进行有效刻画有利于国土资源空间优化,提升土地利用规划和管理水平。由于土地利用空间格局的研究范畴尚不明晰,目前土地利用空间格局的研究对形状、斑块分布和结构等方面关注较少,缺乏对不同土地利用类型间相互关系的研究;同时,格局指标繁多且存在较大的相关性,如何建立指标与土地利用空间格局的对应关系值得进一步研究。本文在深刻理解土地利用空间格局内涵的基础上,将面积、形状和斑块分布总结为土地利用几何特征,将结构和多样性总结为土地利用类型特征,建立了土地利用空间格局刻画指标体系,利用模糊C均值聚类分析,明确了指标与空间格局间的对应关系。结果表明,中国土地利用几何特征可以划分为简单大斑块型、复杂大斑块型、复杂小斑块型、简单小斑块型和散布型五种,不同的几何特征反映了不同土地利用类型的面积、形状和斑块分布的特点,体现了区域土地利用类型的组合关系。2010年中国土地利用共存在61种不同的结构,但主要的结构类型仅有14种,结构特征具有明显的空间聚集性,体现了不同土地利用类型的空间分异性。中国土地利用多样性以3~5类为主,占比达66.69%,其特征总体上呈现“东北、东南高,西北低”的态势。该研究丰富了土地利用空间格局研究的理论体系,填补了中国土地利用整体空间格局刻画的空白。     

青岛市作为2008年奥运会海上赛场可行性分析

为支持北京申办2008年奥运会，青岛已在前年四月份、六月份和去年四月份先后三次向国家体育总局和北京市政府递交了要求承办2008年奥运会海上项目的申办报告。前年十月国际帆船联合会主席保尔－亨德森先生在视察青岛时认为，就青岛的城市环境、水域状况而完全有条件承办奥运会的帆船、帆板比赛，同意把奥运帆船比赛放在青岛举行。本文从青岛市优越的自然环境有社会环境来分析将其作为奥运海上赛场的可行性。     

海水网箱养殖石斑鱼病原菌研究

从网箱养殖的石斑Ｅｐｉｎｅｐｈｙｅｌｕｓｓｐ．中分离出一种致病菌——创伤弧菌Ｖｉｂｒｉｏｖｕｌｎｉｆｉｃｕｓ。本文报道该病原菌的分离、形态、毒力、生理生化特性。该菌毒力较强，感染死亡率可达８０％以上。     

铜离子对单环刺螠的毒性及对体壁抗氧化酶活性的影响

本文研究了重金属Cu2+对单环刺螠毒性效应。通过急性毒性试验,确定了Cu2+对单环刺螠24h、48h、72h及96h的半致死浓度,并计算得到其安全浓度为0.0675mg/L,高于渔业水质。通过酶活测定,发现Cu2+对单环刺螠抗氧化酶活性有影响。实验结果表明当暴露于0.25mg/L及0.50mg/L浓度的Cu2+中,24h时,单环刺螠体壁SOD、GPx活性显著提高(P<0.05);之后,随着暴露时间的增长,SOD、GPx、CAT三种酶活性均有所下降,除SOD外,其余两种酶活性均低于对照组,其中0.50mg/L组96h时CAT的活性显著低于对照组(P<0.05),说明Cu2+抑制了GPx及CAT的活性,并导致了虫体的死亡。     

陆海社会经济关系及其演进研究综述

陆域与海域的社会经济发展是沿海区域可持续发展的重要表现,共同作用于沿海区域经济,但在长期“重陆轻海”的理念下,陆域与海域社会经济关系并未得到有序发展,两者需在长期发展中寻求社会经济关系的平衡点,促进沿海区域绿色协调发展。从海洋经济与沿海陆域经济发展、陆海联动、陆海一体化、陆海统筹等4个方面综述了陆海社会经济关系的研究进展,并指出未来陆海社会经济关系研究应突破现有的研究视角与方法;加强陆海社会经济统计指标体系的构建研究;注重陆海社会经济不同尺度下的时空序列研究;强化陆海社会经济战略下综合性管理监督机制;同时优化其理论体系的构建,注重实践性与对比性的研究。     

Immunohistochemical identification of dynorphin A and Kappa opioid receptor-1 in the digestive system of scallop Chlamys farreri

Journal of Oceanology and Limnology - Little is known about the roles of dynorphin and Kappa opioid receptor (KOR) in mollusks. In this study, we aim to determine the distribution of dynorphin A...     

Methods Comparison for Microsatellite Marker Development： Different Isolation Methods, Different Yield Efficiency

Microsatellite markers have become one kind of the most important molecular tools used in various researches. A large number of microsatellite markers are required for the whole genome survey in the fields of molecular ecology, quantitative genetics and genomics. Therefore, it is extremely necessary to select several versatile, low-cost, efficient and time- and labor-saving methods to develop a large panel of microsatellite markers. In this study, we used Zhikong scallop (Chlamys farreri) as the target species to compare the efficiency of the five methods derived from three strategies for microsatellite marker development. The results showed that the strategy of constructing small insert genomic DNA library resulted in poor efficiency, while the microsatellite-enriched strategy highly improved the isolation efficiency. Although the mining public database strategy is time- and cost-saving, it is difficult to obtain a large number of microsatellite markers, mainly due to the limited sequence data of non-model species deposited in public databases. Based on the results in this study, we recommend two methods, microsatellite-enriched library construction method and FIASCO-colony hybridization method, for large-scale microsatellite marker development. Both methods were derived from the mi-crosatellite-enriched strategy. The experimental results obtained from Zhikong scallop also provide the reference for microsatellite marker development in other species with large genomes.