景观格局与生态过程相互关系研究进展

景观格局的形成反映了不同的景观生态过程,与此同时景观格局又在一定程度上影响着景观的演变过程。 空间格局、生态过程与尺度之间的相互关系是景观生态学研究的核心内容。本文对景观格局与生态过程的研究方 法、景观格局与生态过程相互关系等方面的国内外研究进展进行了综述。最后分析了目前景观格局与生态过程相 互关系研究中存在的问题与不足、未来的研究热点及发展趋势。     

辽宁后仙峪硼矿区混合岩的LA-MC-ICP-MS锆石U-Pb年龄：对硼矿成矿演化的制约

辽东硼矿赋存于辽吉裂谷带的古元古代火山—沉积岩系之中,属沉积—变质型硼矿床,主矿区包括有后仙峪硼镁矿、翁泉沟硼铁矿和砖庙—杨木杆硼镁矿,一直以来是我国硼矿石的主产地。本次研究在后仙峪硼矿区采集了矿区外围的条痕状混合花岗岩(DSQ-08)和矿体上盘侵位于电英岩之中的含电气石混合花岗岩(HXY-19),挑选出其中的锆石单矿物进行LA-MC-ICP-MS测年。条痕状混合花岗岩中锆石的核部具有岩浆振荡环带,Th/U值为0.64~0.96,~(207)Pb/~(206)Pb年龄为2240±4Ma;含电气石混合花岗岩中锆石的内核和边部均具有极为清晰的岩浆振荡环带,Th/U值分别为0.12~1.05和0.41~1.08,~(207)Pb/~(206)Pb年龄分别记录了2157±6Ma和1932±26Ma两次锆石生长事件。含电气石的混合花岗岩的锆石边部形成于混合岩化过程之中,记录了辽河群下部岩石在1.9Ga左右发生的部分熔融作用事件,具有重要的地质意义。矿区外围的条痕状混合花岗岩和矿体周缘含电气石混合花岗岩的核部岩浆年龄较为接近,说明两种岩石可能均由古元古代的火山—沉积岩,在1.9Ga左右经部分熔融作用形成。因此,结合前人在后仙峪硼矿区内进行的硼同位素地球化学和岩相学方面的研究成果,我们认为后仙峪硼矿区混合花岗岩的锆石核部U-Pb年龄可基本确定辽吉裂谷早期的超基性火山岩和酸性火山岩的喷发、海相蒸发沉积事件均发生于2240~2157Ma左右,该时期的蒸发沉积作用初步形成硼酸盐矿;后期强烈的部分熔融和混合岩化作用发生在1932±26Ma,在超基性火山岩保护下,硼矿发生变质和小规模的迁移,形成了硼镁矿、硼镁铁矿及矿体周缘的电英岩和含电气石混合花岗岩。     

云纹石斑鱼仔、稚、幼鱼的形态观察

为丰富云纹石斑鱼(Epinephelus moara)的基础生物学资料,对云纹石斑鱼早期发育阶段的形态变化进行了观察,对各时期的形态特征与生态习性进行了描述,并详细记录了各时期全长、口裂、第2背鳍棘和腹鳍棘的变化.根据卵黄囊和油球的消失、鳍膜的消退、第2背鳍棘和腹鳍棘的伸缩、鳞片的生长及色素的变化把云纹石斑鱼早期发育阶段胚后发育分为仔鱼期(包括早期仔鱼和晚期仔鱼)、稚鱼期和幼鱼期.在水温26.71±1.26℃的培育条件下,仔鱼4日龄开口摄食;至6日龄,卵黄囊和油球消失,进入晚期仔鱼期;至29日龄,鳍膜消失,进入稚鱼期;至41日龄,鳞片开始长出,至59日龄,稚鱼全身覆盖鳞片,完成变态,进入早期幼鱼期.并发现在生态幅范围内提高培育水温,可以提高生长效率,加快育苗速度.     

河流水质风险评价的灰色-随机风险率方法

提出了量化影响河流水质的随机不确定性与灰色不确定性的水质超标灰色－随机风险率概念，建立了水质超标灰色－随机风险率评价模型。在水质单项参数评价模型中，将河流污染物浓度变量的分布处理成灰色概率分布，将污染物浓度超过水质类别标准值的风险率处理成灰色概率，即水质超标灰色－随机风险率。在水质综合评价模型中，河流水环境系统被考虑为担任某一使用可能的可靠性系统，而任意一种水质参数超标意味着河流水体使用功能不能得到应有的保证，也即表明水体综合评价超标，最后借鉴系统可靠性分析的理论和方法计算水质综合超标率。该方法应用于黄河花园口断面重金属污染风险评价。     

PPGIS在国土空间规划中的应用研究

通过分析国内外国土空间规划发展历程,指出公众参与规划面临积极性不够、专业性不强、参与形式单一等问题.PPGIS是公众参与理论与GIS及其相关技术相结合产生的一个新的应用研究方向.本文通过研究PPGIS在国土空间规划确定规划目标、方案优选、规划审批、规划实施四个阶段的应用,解决了公众参与规划存在的一系列问题,并且提高了规划的科学性、合理性和可操作性.     

深海多立柱半潜浮式钻井生产储油轮概念设计研究

浮式钻井生产储轮(floating,drilling,production,storage and offloading vessel,简称FDPSO)是具备油矿钻探、原油生产以及储备等多功能的海洋平台.对FDPSO概念设计过程做了初步研究,提出深海多立柱半潜FDPSO概念,并对其做了稳性计算、水动力性能分析和系泊系统设计,研究该概念在中国南海海域应用的可行性.     

飞来峡水利枢纽库区动态纳污能力计算研究

根据飞来峡水利枢纽库区水流及水质特点,选取不同设计流量,建立二维水流水质模型。通过水槽实验,拟合水质衰减系数与流速的关系曲线,以获取模型水质计算参数。研究结果表明:通过概化排污口排污量与混合带长度响应关系计算,确定各排污口混合带长度在1 300~2 500m之间;在90%最枯月、50%最枯月及多年平均流量水文条件下,飞来峡库区干流水域COD纳污能力分别为162 107.7t、199 220.2t及372 104.3t;NH3-N纳污能力分别为2 757.4t、3 408.4t和6 276.4t;飞来峡库湾的纳污能力远小于库区干流水域,库湾COD纳污能力仅相当于干流的25%,NH3-N纳污能力仅相当于干流的5%;飞来峡库区纳污能力年内逐月差异显著,其中汛期(4~9月)纳污能力较大,COD、NH3-N纳污能力约占全年纳污能力的58%,飞来峡库区年内月纳污能力与月平均流量呈现较好的正相关关系。     

THE ACTIVITY OF WESTERN LISHAN FAULT SINCE THE LATE PLEISTOCENE

Along the northern piedmont of Mt. Lishan, the characteristics and locations of the active normal Lishan fault in west of Huaqing Pool provide important evidences for determining the seismotectonic environment, seismic stability evaluation of engineering in the eastern Weihe Basin. After reviewing the results from high-density resistivity method, seismic profile data, geological drillhole section and trenching in west of the Huaqing Pool, it is found that the strike of western normal Lishan Fault changes from EW direction at the eastern part to the direction of N60°W, and the fault consists of two branches, dipping NE with a high dip angle of~75°. The artificial shallow seismic profile data reveals that the attitude of strata near Lishan Fault mainly dips to south, which is presumed to be related to the southward tilt movement of Mt. Lishan since the Cenozoic. The section of geological drillhole reveals that since the late middle Pleistocene, the displacement of the paleo-soil layer S₂ is about 10m. And the maximum displacement of western Lishan Fault recorded in the paleo-soil layer S₁ reaches 7.8m since the late Pleistocene. In addition, evidences from trench profile show that the western Lishan Fault was active at least 3 times since Malan loess deposition with ¹⁴ C dating age(32 170±530)Cal a BP. The multiple activities of the Lishan Fault result in a total displacement about 3.0m in the Malan loess layer L₁. The latest activity of the western Lishan Fault produced a displacement of about 0.9m in the early Holocene loess layer L₀((8 630±20)Cal a BP)and caused obvious tensile cracks in the Holocene dark leoss layer S₀((4 390±20)Cal a BP). Briefly, we have obtained a vertical movement rate of about 0.11~0.19mm/a since the Holocene((8 630±20)Cal a BP)in the western extension of the Lishan Fault, the recurrence interval of earthquakes on the fault is about(10.7±0.5)ka, and the co-seismic surface rupture in a single event is inferred to be about 0.9m.     

变形分析的神经网络技术应用实例

大型工程施工过程中的变形监测、分析与预报极为重要。变形分析建模的方法很多,神经网络技术的应用是其中之一。文中结合某深基坑工程的监测资料和工作经验,运用神经网络BP算法进行预测分析。简述BP神经网络的基本概念,介绍基坑变形分析的BP神经网络的具体模型结构,将神经网络方法预报结果与实测数据对比效果较好。该成果对生产实践具有参考价值。     

Variations in rare earth elements with environmental factors in lake surface sediments from 17 lakes in western China

Numerous lakes in western China are excellent sites for understanding environmental change. However, what dominates rare earth element(REE) variations are still under debate in the lake environmental research. In this study, we selected 28 surface sediment samples from 17 lakes(i.e. largescale lakes, small water bodies, etc.) in the QinghaiTibet Plateau and Xinjiang area. These samples were analyzed to reveal the behavior of the REEs and major elements. These REE patterns are characterized by light rare earth element(LREE) enrichment, weak Ce anomaly(0.84-0.98, 0.94 on average) and negative Eu anomaly(0.53-1.00, 0.67 on average). The homogeneous REE patterns may reflect similar REE of the source lithologys. However, the REE abundances showed some significant differences. In this study, water chemistry data analyses inferred that the highly REE values appear possibly in the saltwater lake, and also related to carbonate mineral, whereas p H played a minor role in REE concentrations. In large-scale lakes(e.g. Lake Bosten and Lake Ulungur), the results showed that the relatively larger REE values are in the margins of lakes. Moreover, lower REE contents are towards the central region. Comprehensive study suggested that five major factors control the REE contents:(1) The REE tends to increase with the increase of the weathering intensity.(2) Likewise, heavy mineral(i.e. rutile, anatase, zircon, etc.) are probably primary in these sediments because they are highly enriched in the REE.(3) The contribution of Fe-Mn oxides is significant in sediments because their concentrations highly correlate with the REE.(4) The carbonate mineral(mainly calcite) played a significant role on the REE values in the lakes because the REEs are incorporated into the carbonate minerals generating the low REE concentrations.(5) Major element analysis, mineral analysis, and grain-size data analysis showed that the REE distribution is chiefly influenced by finer grain-size component of lake sediments due to the decreasing proportion of quartz and feldspar than coarser one. Moreover, the clay minerals in finer grain-size sediments can highly absorb the REE.