Ecology of macrozoobenthic communities in two plateau lakes of Southwest China

The original version of this article contains a mistake in font setting on p.350. The last part of Table 3 note, i.e. "biomass…molluscs (Liang et al., 1995)" should belong to the paper body. Therefore, the last sentence in     

Decomposition analysis on direct material input and dematerialization of mining cities in Northeast China

Material dematerialization is a basic approach to reduce the pressure on the resources and environment and to realize the sustainable development. The material flow analysis and decomposition method are used to calculate the direct material input (DMI) of 14 typical mining cities in Northeast China in 1995-2004 and to analyze the demateri-alization and its driving factors in the different types of mining cities oriented by coal, petroleum, metallurgy and multi-resources. The results are as follows: 1) from 1995 to 2006, the increase rates of the DMI and the material input intensity of mining cities declined following the order of multi-resources, metallurgy, coal, and petroleum cities, and the material utilizing efficiency did following the order of petroleum, coal, metallurgy, and multi-resources cities; 2) during the research period, all the kinds of mining cities were in the situation of weak sustainable development in most years; 3) the pressure on resources and environment in the multi-resources cities was the most serious; 4) the petro-leum cities showed the strong trend of sustainable development; and 5) in recent years, the driving function of eco-nomic development for material consuming has continuously strengthened and the controlling function of material utilizing efficiency for it has weakened. The key approaches to promote the development of circular economy of min-ing cities in Northeast China are put forward in the following aspects: 1) to strengthen the research and development of the technique of resources' cycling utilization, 2) to improve the utilizing efficiency of resources, and 3) to carry out the auditing system of resources utilization.     

东海陆坡海底块体运动地形分析方法

随着油气资源开发向深水区发展,迫切需要采用一定的方法去了解块体运动的特征以及分析块体运动对深水油气资源开发的可能性.本文阐述了东海陆坡块体运动地形分析方法以及多种数据处理技术的使用.多波束测深系统为人们提供了直观的海底地貌形态特征,地层剖面仪系统能探测海底以下沉积物性质和结构的变化.GIS、Fledermaus、Delph等软件系统可以定量分析海底微地貌形态特征.     

黄、东海平滑真刺水蚤种群遗传结构的ISSR分析

为探求黄东海平滑真刺水蚤(Euchaeta plana)是否存在分化,对南黄海、东海2个海域平滑真刺水蚤进行ISSR分析。利用筛选出的4个ISSR引物对平滑真刺水蚤进行PCR扩增。共获得18个扩增位点,其中多态性位点14个,所占比例为77.78%。利用POPGENE软件计算遗传距离为0.071 8,遗传相似系数为0.930 7,从而说明2个群体之间遗传分化很小,并推断为黄海暖流影响其分布的结果。     

空间信息网络服务中的数据安全策愀

以地理信息网络服务的安全策略为研究对象,根据我国空间数据生产到应用整个流程保密管理规定,研究地理空间数据在存储、分发、传输、表现以及与其他系统集成应用阶段上的安全策略,解决地理空间数据共享与空间数据安全之间的矛盾。     

GPS对流层延迟改正模型及其InSAR应用研究

分析对样本点与待插值点间水平距离和高差赋予不同影响因子的改进反距离加权内插法(IIDW)。试验表明,改进的反距离加权内插法在GPS对流层内插方面内插精度优于传统反距离加权内插法,但是在将内插值应用到InSAR干涉图对流层延迟时,高程差对对流层延迟的影响却很小。     

全球板块运动背景场及ITRF2005VEL的建立

简要分析了最新的国际地球参考框架ITRF2005实现的基本情况及其相对于ITRF2000的改进,以ITRF2005为参考框架建立了新的全球板块运动模型ITRF2005VEL。建模时,首先根据测站的分布和速度场的精度对测站进行初步剔除,然后采用相似变换的方法对全球ITRF2005测站的速度场数据再进行第2次筛选。根据筛选结果利用最小二乘方法建立了全球板块运动背景场及其运动模型,给出了全球11个主要块体的运动参数。此结果与其他学者建立的模型相比,总体上有很好的一致性,但在个别块体上也有所差异。     

温度、氮浓度和氮磷比对长心卡帕藻(Kappaphycus alvarezii)吸收氮速率的影响

分别在室内培养箱、海滨室外跑道池和不同自然海区,通过一次性和半连续添加营养、以及检测海区水质和藻体生长的方法,研究了不同氮浓度、温度和氮磷比条件下,长心卡帕藻氮吸收速率的变化和氮吸收速率随时间变化,以及栽培该藻的环境生态贡献。小型实验、中试放大和海区规模栽培结果表明:(1)在10—50μmol/L范围内,该藻吸收氮速率随氮浓度增加而增大;(2)当氮浓度一定时,氮磷比在1—50范围内对该藻吸收氮速率没有产生显著影响(P>0.05);(3)温度对该藻吸收氮速率有显著影响(P<0.05),其中温度在28℃时氮的吸收速率最高;(4)尽管一次性添加营养实验中长心卡帕藻吸收氮速率随时间变化表现出先快后慢的趋势,但是进一步的半连续添加营养实验证实,导致吸收速率下降系底物氮浓度限制,而不是藻本身吸收能力下降,结果还显示卡帕藻具有连续吸收同化无机氮能力;在自然光温度变化和不受底物浓度限制条件下,该藻藻体去除无机氮效率最大维持在0.3μmol/(gFW·h);(5)海南陵水黎安海湾水质数据显示,栽培该藻去除海水富营养化和净化水质作用显著,其去除海水富营养化的年贡献为33t氮素。     

GIS中位置关系的定性描述及其推理

位置关系的定性描述是指用方向关系和定性距离描述目标对象相对于参照物的位置关系的方法.此处的研究重点是采用基于投影的方向关系和定性距离建立位置关系定性描述模型,推导了位置关系的描述公式,并根据该公式研究位置关系的定性推理,用MATLAB语言模拟了位置关系定性推理.研究中,以相邻定性距离的距离范围之比k=5为例,取ε≤1/k2,则只要δi/δj≤ε,就有δi±δj≈δj.实际上,位置关系的定性推理结果与具体的k值无关.     

Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.