基于PSR模型的渔业用岛生态状况评价——以菜坨子岛为例

菜坨子岛位于大连市长海县,为无居民海岛,功能定位为渔业用岛。依据无居民海岛生态系统的特点和渔业用岛功能定位,文章使用压力-状态-响应模型设置3层指标体系,对菜坨子岛生态状况进行评价。指标评价方法采用专家评价法及单因子环境质量指数法、综合评价指数法等计算各级权重值和指标值。基于2015年现场调查数据,采用层次分析法对压力-状态-响应模型进行计算,得出菜坨子岛年生态状况分值及评价结果。结果表明,菜坨子岛总体状态为“优”（分值为0.811 1）。此外,经过对评价指标进一步优化后,可将该评价方法推广到对其他渔业用无居民海岛的生态状况评价,为其开发和保护提供依据。     

太湖流域上游西苕溪源头溪流中毛竹、石栎和山胡椒落叶分解比较

比较了毛竹、石栎和山胡椒叶片的理化属性,采用粗网叶袋法研究了三种落叶在太湖流域上游西苕溪中的分解过程,探讨了毛竹叶成为溪流优势外来能源后对溪流生态过程和底栖动物群落结构的影响.三种落叶的氮、磷含量及叶片厚度都存在显著差异,毛竹叶的氮含量(30.23 g/kg)远高于石栎(20.98 g/kg)和山胡椒(9.69 g/kg),其中毛竹叶的分解速率最快(k=0.00592 d-1),山胡椒(0.00297 d-1)和石栎叶(0.00212 d-1)较慢.三种落叶叶袋间的大型底栖无脊椎动物包括各取食功能团的多度和生物量无显著差异,而4次采样间的差异很显著.大型底栖动物的取食功能团中,撕食者的数量比例最高(40.3%),生物量比例为41.6%,是落叶分解的重要功能类群.撕食者中,利用阔叶筑巢的鳞石蛾Lepi-dostoma数量最多,占全部底栖动物的14%,是该溪流中主要的撕食者类群.因此,由于毛竹叶具有氮、磷含量较高、叶形较窄,以及两年进行一次换叶的特点,当毛竹叶替代其他阔叶秋季落叶的树种成为源头溪流优势外来能源后,可能会改变源头溪流中的氮磷含量、溪流外来能源的量和滞留时间以及底栖动物群落结构.     

太湖湖体水环境容量计算

针对太湖风生流的特点,提出考虑风向风速频率修正及污染带控制的水环境容量计算方法,建立了太湖水量水质数学模型,并结合水文水质资料对流场和浓度场进行模拟和验证.在控制单个污染带面积为1～3 km2,污染带总长度为湖岸线长度10%的基础上采用该方法进行计算,计算结果更可靠.太湖CODcr的水环境容量为132727 t/a,TN的水环境容量为7700 t/a.     

花管土钉抗拔力学模型研究

花管土钉已被广泛应用于基坑工程中,但其抗拔承载机理尚不明确。根据花管土钉的支护原理,分析其三种破坏形式,提出花管土钉的四个受力阶段;基于库仑土压力理论,将滑动土体上方看作均布荷载,推导出花管土钉极限抗拔承载力的计算公式;结合兰州某基坑实例,将《建筑基坑支护技术规程》中的花管土钉极限抗拔承载力计算方法与本文计算方法进行拉拔试验,并对结果进行对比分析。研究表明：花管土钉的破坏模式主要为花管杆体被拉断、出浆锚固体被剪断及出浆锚固体前端土体变形过大;花管土钉的四个受力阶段包括静止阶段、塑性区产生阶段、塑性区扩张阶段和破坏阶段;在花管土钉极限抗拔承载力的组成中,出浆锚固体提供的抗拔力所占比重随花管埋深的增大而显著增大,是花管土钉极限抗拔承载力的重要组成部分。     

洞庭湖区域黑线姬鼠（Apodemus agrarius）种群迁入湖滩后的繁殖特征

黑线姬鼠(Apodemus agrarius)是广泛分布于我国的主要农田害鼠之一,2003年三峡工程开始蓄水后洞庭湖湖滩鼠类群落结构发生了演变,黑线姬鼠已大量侵入湖滩,且逐步成为湖滩生境鼠类群落的优势鼠种。动物在新生境中的繁殖状况是了解其对环境适应的关键指标。为掌握黑线姬鼠种群侵入湖滩生境后的适应情况,为其种群动态的预测预报提供科学依据,本文对2003—2020年洞庭湖湖滩和农田生境中捕获的黑线姬鼠繁殖状况进行比较分析,并结合季节动态和生境差异等因子分析了该鼠在繁殖方面对湖滩生境的适应。结果表明:(1)湖滩生境中黑线姬鼠平均繁殖指数(0.71±0.27)低于农田生境(1.21±0.47),在2016—2020年湖滩上黑线姬鼠的繁殖指数为0.99,略高于农田的0.96;(2)湖滩生境较农田生境中的孕鼠在繁殖中偏向有更多的胎仔数,有6只以上胎仔数的孕鼠占比(65.59%)高于农田生境(49.10%);(3)湖滩生境中发现有幼年组的黑线姬鼠参与繁殖,其繁殖指数、参产率、怀孕率及雄鼠的睾丸下降率随年龄递增;(4)春季和秋季是湖滩生境中黑线姬鼠的主要繁殖季节,其繁殖指数、参产率、怀孕率都显著高于...     

太湖波浪数值模拟

在太湖实际波浪观测的基础上,采用率定验证后的第三代动谱平衡方程,考虑实际水底地形、波浪折射、浅化、反射、破碎、湖流等条件下,对太湖波浪进行数值模拟,研究太湖波浪的主要影响因素.结果表明:SWAN模型可以较好地模拟风作用下太湖风浪的生成和传播过程,模型在太湖应用是合适的;波高、波长、波周期等波浪参数在太湖的分布与风速、风向、水深等因素密切相关;在相同风向、不同风速情况下,太湖波浪发展至稳定状态的时间不一样;在不同风向,相同风速持续作用下,有效波高达到稳定的时间差不多,变化趋势也比较相同.说明波浪的发展不光取决于风速的大小,还同风的持续吹的时间和风区长度有关.     

地震台站空隙角对地震定位精度的影响

利用四川测震台网记录的芦山余震资料,选取20个M≥2.5地震,以Loc3D(川滇)定位方法定位结果为标准。采用MSDP中常用定位方法(HypoSAT、HYP2000、LocSAT、单纯型),在人为增减台站情况下,使得台站空隙角在25°—320°范围内任意变化,采用相同震相和相同台站对选定的地震事件进行定位,并对定位结果与标准结果对比,结果表明:震中位置在台站空隙角25°—130°任意变化时,4种定位方法效果较好,差别不大;在空隙角达到130°时,震中位移具有随着空隙角增大而逐步变大趋势;在空隙角达到190°时,单纯型法震中位移明显加大,出现随机突跳现象。总体而言,LocSAT法定位效果较好,平均震中位移2.6 km,HYP2000法平均震中位移2.8 km,HypoSAT平均震中位移4.1 km,单纯型定位效果较差,平均震中位移10.3 km。     

The influence of tectonic subsidence on volcaniclastic sedimentation: The Cretaceous upper Daeri Member,Wido Island,Korea

The Daeri Member, a Cretaceous volcanic–sedimentary succession, can be divided into lower, middle, and upper parts based on vertical changes in its lithologic characters. The lower Daeri Member is composed of siliciclastic deposits formed in a semi‐arid floodplain environment, which is overlain by the middle Daeri Member consisting mainly of andesite lava flow. After the emplacement of the andesite, activities of intrabasinal normal faults created accommodation on hanging wall blocks together with the development of intrabasinal topographic relief. The upper Daeri Member occurs only in hanging wall blocks and is composed of rhyolitic volcaniclastic sediments formed during an explosive volcanic eruption. Following the eruption, owing to semi‐arid climatic conditions and the destruction of vegetation, the eruptive materials were easily remobilized and deposited by episodic sediment gravity flows, resulting in deposition of the resedimented volcaniclastic deposits with sheet‐like geometry. Away from the intrabasinal normal faults, the resedimented volcaniclastic deposits show a decrease in grain size together with changes in inferred depositional processes from debris flows to hyperconcentrated flows and supercritical sheetfloods. This suggests that the resedimented volcaniclastic deposits were stacked on alluvial fan environments induced by intrabasinal topographic relief associated with normal fault activities. In addition, episodic movement of the faults gave rise to periodic fluctuation of the accommodation and an increase in gradient of the alluvial fan surface, resulting in the development of coarsening‐upward trends in the resedimented volcaniclastic deposits. The development of the alluvial fan and the coarsening‐upward trends indicate that dynamic tectonic subsidence and concomitant changes in the intrabasinal physiographic relief influenced the depositional processes and sizes of the transported volcaniclastic sediments of the upper Daeri Member. Thus, it is necessary to carefully observe tectonic signatures in volcaniclastic successions, particularly the syneruptive lithofacies, in order to reconstruct the tectonic and volcanic histories of receiving basins.     

基于移动平台的测震应急流动台现场监控系统的设计与实现

流动测震观测是在大地震发生以后开展的一项重要的地震应急响应工作,能够获得震区高质量的地震数据,而野外环境的复杂性对测震应急流动台的架设提出了较高的要求。本文通过对地震应急流动现场工作进行需求分析,设计并实现了一种基于IOS系统的测震应急流动台现场监控系统,能够让现场工作队员快速获取流动台数据和状态信息,有利于流动台的快速架设,提高了应急流动观测现场工作的效能。     

Stagnant low-energy ions in the near cusp region observed by Cluster

Measuring the low-energy ions in the Earth's magnetotail lobes is difficult, because a spacecraft becomes positively charged in a sunlit and tenuous plasma environment. Recent studies have introduced a new method, making use of the positive electric potential on the Cluster spacecraft, to measure the low-energy ions(less than a few tens of electronvolts) in the polar caps/magnetotail lobes in the years 2001–2010. With the measured velocities, we are able to study the trajectories of these low-energy ions. Particle tracing has been used in previous studies, confirming that ions of ionospheric origin are the dominant contributor to the ion population in the Earth's magnetotail lobes. In this work, we continue to study the source of low-energy ions measured in the lobes. We found that not all of the low-energy ions in the lobes come directly from the ionosphere. Particle tracing infers that some of the low-energy ions start to move tailward from the cusp/near-cusp region with a zero parallel velocity. In the following, we refer to these low-energy ions as stagnant low-energy ions. On the other hand, the in situ measurements by Cluster show a population of low-energy ions in the cusp/near-cusp region with pitch angles near 90°(i.e., no significant parallel velocity).The locations of stagnant low-energy ions are determined by particle tracing and in situ measurements. Similar ion energies and spatial distributions determined by these two methods confirm the presence of the stagnant low-energy ion population.