长江中下游典型浅水湖泊沉积物水界面磷与铁的耦合关系

目前普遍认为磷铁耦合关系是P迁移的主要机制,但大部分研究结果并未提供直接的原位证据.为了探索沉积物剖面磷(P)与铁(Fe)的耦合关系,利用Zr O-Chelex薄膜扩散梯度技术(ZrO-Chelex DGT),分别对太湖、巢湖、鄱阳湖和洞庭湖4个浅水湖泊沉积物有效态Fe和P进行高分辨采样和分析.结果表明,不同湖区有效态Fe和P浓度在沉积物-水界面处开始增加,之后波动变化,垂向异质性较强,但两者浓度变化同步.有效态P和Fe浓度的相关分析结果证明两者浓度具有显著的线性相关.室内厌氧培养实验进一步表明,Fe~(3+)的还原性促使Fe~(2+)与铁结合态磷的释放,促使DGT有效态P与Fe同步变化.该结果表明沉积物P的二次迁移和释放受Fe氧化还原过程的控制,为铁磷耦合关系提供了直接证据.     

湖北省长湖浮游植物优势种生态位分析

于2012年4月至2013年1月对长湖浮游植物群落结构特征进行调查分析,使用Levins生态位宽度公式和Levins重叠公式测定长湖浮游植物优势种的生态位指数,分析浮游植物站点分布和环境因子的变化与生态位间的关系.结果显示:整个区域以蓝藻门和绿藻门的种类为主,优势种种类和密度随季节变化,表现出1~2个种类成为主要优势种,在丰度、优势度和生态位宽度上远大于其他优势种的特征.依据优势度指数和生态位宽度将优势种分为3类;小球藻(Chlorella vulgaris)和扭曲小环藻(Cyclotella comta)作为4个季节优势种,占据更多的资源位点,有更大的生态位宽度,在竞争中处于优势.蓝藻门的两栖颤藻(Oscillatoria amphibia)在夏季成为主要优势种,其丰度远大于其他种类,但受到种间竞争及高等水生植物的抑制,没有在竞争中取得绝对优势.其他种在不同季节此消彼长,但仅在若干季节成为优势种.海子湖区周围的进出水口及马洪台区、圆心湖区的围网养殖会直接影响水体中总氮、总磷浓度,进而改变浮游植物优势种在各区域的分布,使用t检验证实了这种差异.环境因子与优势种的相关性分析显示,水温、N/P比是影响浮游植物优势种分布的重要因素.     

太湖水体氮、磷浓度演变趋势(1985-2015年)

分析了太湖水体氮、磷浓度1985-2015年的演变趋势.结果表明,近30年来,全太湖水体氮、磷指标总体呈先恶化、后好转的波动变化趋势.总氮（TN）浓度年均值在1.79～3.63 mg/L之间,30年平均值为2.62±0.03 mg/L,总磷（TP）浓度年均值在0.04～0.15 mg/L之间,30年平均值为0.086±0.001 mg/L,1996年全太湖TN （3.84 mg/L）和TP （0.15 mg/L）浓度年均值均达历史峰值.氮、磷逐月浓度变化情况显示,TN浓度呈明显季节性变化规律,最高值集中出现在3、4月,概率分别为67%和33%,最低值则分布在8、9、10、11月,概率分别为18%、41%、29%和12%,而TP浓度则没有明显的季节性变化规律.太湖各湖区水体氮、磷浓度变化空间异质性明显,西部水域和北部水域变化幅度大于东部水域、南部水域和湖心区.太湖水体氮、磷浓度的长期变化趋势显然和流域经济发展及各项环保管理措施的实施密切相关,同时也受到重大水情变化的影响.此外,在相对封闭的局部湖湾水体可以通过水利调度等综合治理措施短时期内改善氮、磷指标,但大太湖水质的改善任重而道远.     

福建地区环境噪声特性研究

为进一步加强对福建地区噪声特性的认识以及提升台站地震观测质量,计算了2014年福建地震台网宽频带地震仪连续观测数据的功率谱概率密度函数,并分析其影响因素和不同频段时空变化特性。结果表明:人文噪声平均水平最高地区位于福建沿海福州至厦门一带,07:00—18:00的功率谱密度要明显高于其它时间段,12:00左右出现间歇性低谷期,夜间有不同程度的降低,日变化除了在春节假期大幅下降外,均处于较为稳定态势;福建地区次级微震主要成分是Rayleigh波,主频约为2.7 s,主微震主频约为16 s,次级微震平均水平最高地区也位于沿海一带,向内陆方向呈衰减趋势,其日变化明显,与台风和潮高有较高的相关性。     

变电站地面景观建筑防震设计

伴随着我国城市建设的快速发展,变电站地面景观建筑防震设计有着举足轻重的作用,为了满足不同建筑功能的抗震要求,提出基于变电站地面建筑防震设计方法。将剪力墙与框架结构有效的结合起来,通过分析框架剪力墙建筑结构的优缺点,给出变电站地面建筑防震设计原理和防震控制指标,根据各项指标分析框架剪力墙在防震设计中的要点,以达到变电站地面景观建筑的刚度要求,实现防震设计。实验结果表明,所提出基于变电站地面建筑防震设计方法可有效提高整个结构的抗震能力,并且能够有效降低成本开销。     

新型地震预警方法研究及预警能力分析

本文研究了一种不同于传统地震预警方法的新型预警方法。这种预警方法利用数据同化技术对实时波动场进行精确估计,然后再利用基于辐射传输理论的蒙特卡洛直接模拟法对波动能量的传播做数值模拟,并最终计算预警目标区烈度并做阈值判断发出预警警报。整个预警过程无需触发、无需定位、无需测定震级、无需利用衰减关系,较传统预警方法具有明显不同的技术手段,比较有效避免了传统地震预警方法中一系列基于经验统计规律的误差累积和单纯依靠初至P波信息在应对复杂地震时的局限性。本文选择了2011年3月11日日本M_w9.0地震和2016年2月6日台湾M_w6.7美浓地震作为预警模拟震例,分析并论证了本文预警方法在处理网外地震、网内地震以及复杂地震时的预警能力,最终得出本文预警方法在应对网内地震时具有良好的预警准确性和时效性,以及相对于传统预警方法在处理复杂地震时具有较大的优势。最后,总结并展望了本文研究工作的不足之处和有待继续研究的地方。     

新疆天山地区壳幔S波速度结构特征及变形分析

天山地区地质构造复杂,地震活动频繁,其壳幔变形和深部结构一直受到学者们的高度关注.然而,由于天山地区地震台站资料较少,致使壳幔变形研究结果与解释存在诸多争议.本研究利用在天山地区（40°N-46°N,78°E-92°E）新布设的11个流动宽频带地震台站和该地区39个固定台站的观测资料,采用接收函数与面波联合反演方法,获得了研究区地壳厚度及壳幔S波速度结构.反演结果显示天山地区（41.5°N-44°N,78°E-88°E）平均地壳厚度为56 km,塔里木盆地（40°N-41.5°N,79°E-90°E）、准噶尔盆地（44°N-46°N,82°E-90°E）和吐鲁番盆地（42°N-43°N,88°E-90°E）具有较厚的沉积层,地壳平均厚度为43 km、53 km和46 km,整体表现为天山厚、盆地相对较薄的特征;在研究区南天山的最高峰（42°N,80.5°E）及北天山的最高峰（43.5°N,86°E）附近,中下地壳存在较厚的低速层,我们认为在强烈挤压作用下低速、低强度的中下地壳强烈变形可能是导致该区域快速隆升的主要原因.在研究区中部,位于塔里木盆地与准噶尔盆地之间的天山地区,中下地壳及上地幔均存在低速层,且盆地莫霍面向天山倾斜明显.结合前人的研究成果推测,在南北向构造挤压应力作用下,塔里木盆地与准噶尔盆地发生了向天山造山带方向的双向壳幔层间插入俯冲.在研究区东部,塔里木盆地东北缘与天山东部接触带的地壳内没有明显的低速层,推测应处在早期挤压变形状态,该区域的壳幔边界为缓变的速度梯度带,可能与上地幔热物质侵入或渗透有关.     

Experiments on Exploration of Shallow Fine Structures and the Construction of the 1-D Velocity Model in the Pingtan Island, Fujian

112 short-period seismographs were set up in the 400km² area of Pingtan Island and its surrounding areas in Fujian. The combined observations of the airgun source and ambient noise source were carried out using a dense array to receive the 387 airgun signals excited around the island and one month of continuous ambient noise recording. The 1-D P-wave and S-wave shallow velocity model of Pingtan Island is obtained by the inversion of the airgun body wave''s first arrival time data, and the reliability of the velocity model is verified by using the surface wave phase velocity dispersion curve, which can provide initial model for subsequent 3-D imaging. The experimental results show that this experiment is a successful demonstration of local scale green non-destructive detection, which can provide basic data for shallow surface structure research and strong vibration simulation of the Pingtan Island.     

Attenuation Characteristics of Earthquake Ground Motion for Large Volume Airgun

In order to further deepen the understanding of seismic wave propagation characteristics induced by the large volume airgun source, experimental data from multiple fixed excitation points in Fujian Province were used to obtain the equivalent single excitation high signal-to-noise ratio velocity and displacement records through linear stacking and simulation techniques. Then the peak displacements of different epicentral distances were used to calculate the equivalent magnitude of the airgun source excitation at different fixed excitation points so as to establish the attenuation relationship between equivalent magnitude,epicenter distance and velocity peak. Our results show that:① Within 270 km of epicentral distance,for the large-volume airgun's single shot,the peak velocity range is about 700-4 nm/s,and the peak displacement range is about 200. 0-0. 2 nm;② The equivalent magnitude of the P-wave from the airgun source with a total capacity of 8,000 in 3 is 0. 181-0. 760,and the equivalent magnitude of the S-wave is 0. 294-0. 832. By contrast,the equivalent magnitude of the P-wave from the airgun source with a total capacity of 12,000 in 3 is 0. 533-0. 896,and the equivalent magnitude of the S-wave is 0. 611-0. 946. The S-wave energy is greater than the P-wave energy, and the excitation efficiency varies greatly with different excitation environment;③ The peak velocity increases with the equivalent magnitude,and decreases with the epicentral distance. The vertical component of the P-wave peak velocity is the largest among those three components,while the S-wave has the smallest vertical component and similar horizontal components. Hence,our research can provide an important basis for the quantitative judgment of the seismic wave propagation distance using the airgun and the design of the observation system in deep exploration or monitoring with airgun.     

Dissolved organic carbon in permafrost regions: A review

A large quantity of organic carbon(C) is stored in northern and elevational permafrost regions. A portion of this large terrestrial organic C pool will be transferred by water into soil solution(～0.4 Pg C yr~(-1))(1 Pg=10~(15) g), rivers (～0.06 Pg C yr~(-1)),wetlands, lakes, and oceans. The lateral transport of dissolved organic carbon(DOC) is the primary pathway, impacting river biogeochemistry and ecosystems. However, climate warming will substantially alter the lateral C shifts in permafrost regions.Vegetation, permafrost, precipitation, soil humidity and temperature, and microbial activities, among many other environmental factors, will shift substantially under a warming climate. It remains uncertain as to what extent the lateral C cycle is responding,and will respond, to climate change. This paper reviews recent studies on terrestrial origins of DOC, biodegradability, transfer pathways, and modelling, and on how to forecast of DOC fluxes in permafrost regions under a warming climate, as well as the potential anthropogenic impacts on DOC in permafrost regions. It is concluded that:(1) surface organic layer, permafrost soils,and vegetation leachates are the main DOC sources, with about 4.72 Pg C DOC stored in the topsoil at depths of 0–1 m in permafrost regions;(2) in-stream DOC concentrations vary spatially and temporally to a relatively small extent (1–60 mg C L~(-1)) and annual export varies from 0.1–10 g C m~(-2) yr~(-1);(3) biodegradability of DOC from the thawing permafrost can be as high as 71%, with a median at 52%;(4) DOC flux is controlled by multiple factors, mainly including vegetation, soil properties,permafrost occurrence, river discharge and other related environmental factors, and(5) many statistical and process-based models have been developed, but model predictions are inconsistent with observational results largely dependent on the individual watershed characteristics and future discharge trends. Thus, it is still difficult to predict how future lateral C flux will respond to climate change, but changes in the DOC regimes in individual catchments can be predicted with a reasonable reliability. It is advised that sampling protocols and preservation and analysis methods should be standardized, and analytical techniques at molecular scales and numerical modeling on thermokarsting processes should be prioritized.