温度、盐度和光照对浒苔生长和光合作用的影响

Intensive Pyropia aquaculture in the coast of southwestern Yellow Sea and its subsequent waste, including disposed Ulva prolifera, was speculated to be one of the major sources for the large-scale green tide proceeding in the Yellow Sea since 2007. It was, however, unclear how the detached U. prolifera responded and resumed growing after they detached from its original habitat. In this study, we investigated the growth and photosynthetic response of the detached U. prolifera to various temperature, salinity and irradiance in the laboratory. The photosynthetic rate of the detached U. prolifera was significantly higher at moderate temperature levels(14–27°C)and high salinity(26–32), with optimum at 23°C and 32. Both low(14°C) and highest temperature(40°C), as well as low salinity(8) had adverse effects on the photosynthesis. Compared with the other Ulva species, U. prolifera showed higher saturated irradiance and no significant photoinhibition at high irradiance, indicating the great tolerance of U. prolifera to the high irradiance. The dense branch and complex structure of floating mats could help protect the thalli and reduce photoinhibition in field. Furthermore, temperature exerted a stronger influence on the growth rate of the detached U. prolifera compared to salinity. Overall, the high growth rate of this detached U. prolifera(10.6%–16.7% d~(–1)) at a wide range of temperature(5–32°C) and salinity(14–32) implied its blooming tendency with fluctuated salinity and temperature during floating. The environmental parameters in the southwestern Yellow Sea at the beginning of green tide were coincident with the optimal conditions for the detached U. prolifera.     

A synthetic aperture radar sea surface distribution estimation by n-order Bézier curve and its application in ship detection

To dates,most ship detection approaches for single-pol synthetic aperture radar(SAR) imagery try to ensure a constant false-alarm rate(CFAR).A high performance ship detector relies on two key components:an accurate estimation to a sea surface distribution and a fine designed CFAR algorithm.First,a novel nonparametric sea surface distribution estimation method is developed based on n-order Bézier curve.To estimate the sea surface distribution using n-order Bézier curve,an explicit analytical solution is derived based on a least square optimization,and the optimal selection also is presented to two essential parameters,the order n of Bézier curve and the number m of sample points.Next,to validate the ship detection performance of the estimated sea surface distribution,the estimated sea surface distribution by n-order Bézier curve is combined with a cell averaging CFAR(CA-CFAR).To eliminate the possible interfering ship targets in background window,an improved automatic censoring method is applied.Comprehensive experiments prove that in terms of sea surface estimation performance,the proposed method is as good as a traditional nonparametric Parzen window kernel method,and in most cases,outperforms two widely used parametric methods,K and G0 models.In terms of computation speed,a major advantage of the proposed estimation method is the time consuming only depended on the number m of sample points while independent of imagery size,which makes it can achieve a significant speed improvement to the Parzen window kernel method,and in some cases,it is even faster than two parametric methods.In terms of ship detection performance,the experiments show that the ship detector which constructed by the proposed sea surface distribution model and the given CA-CFAR algorithm has wide adaptability to different SAR sensors,resolutions and sea surface homogeneities and obtains a leading performance on the test dataset.     

基于灵敏度分析的海洋油气资源BP神经网络预测模型的优化

作者针对BP神经网络结构设计中存在的问题,提出利用灵敏度分析方法对BP神经网络预测模型进行优化。通过BP算法与参数灵敏度分析的结合,寻找网络输入属性与输出属性之间的影响因子;在保证精度的前提下优选网络输入属性,简化网络结构,以增强网络的泛化能力,减少人为主观因素对网络设计的影响。最后以海洋油气资源预测为例,结合实测资料建立BP神经网络预测模型并进行了优化及预测精度评价,表明优化后的模型既能有效提高油气资源预测结果的稳定性,又不损失预测精度。     

东山乌礁湾海滩表层沉积物粒度时空变化分析

为了进一步了解海岛岬湾海岸表层沉积物粒度的时空分布特征和形成机制,作者以福建东山岛乌礁湾为典型研究区,通过秋、春、夏3个不同季节海滩表层沉积物的采集和点位测量,综合应用激光法和筛析法进行粒度测定。结果表明,东山乌礁湾海滩表层沉积物以0.16～0.50 mm之间的中、细砂为主,并含有少量的粗砂和细砾,这与区域砂质沉积背景有关;湾内从南到北剖面沉积物粒径由粗砂到细砂逐渐变细,主要受剖面地形、局地物源、季节性风浪作用和近岸往复水动力的影响。时间变化上,各取样站位表现出沉积物粒径粗、细不同程度的多种变化趋势,以秋季为参考,整体上表现为由南到北粒级的变小、增大和稳定,这与东北、南南西季风影响下的浪、潮作用以及沿岸流系格局变化下的水动力环境有关。     

渤海湾曹妃甸深槽海区地形地貌特征及控制因素

通过研究浅层地震剖面、侧扫声纳和水深地形等数据资料,得出,曹妃甸沙岛的岬角地貌引起深槽海域局部潮流流速增大,甸头前沿深槽区以冲刷为主,最大水深达42 m,刷新了渤海湾最大水深记录,深槽部位的侵蚀量最大,深槽南坡冲刷幅度大于北坡,工程建设后期深槽区侵蚀冲刷程度有变小变缓趋势。早期深槽的形成是由于浅部断层受深部构造影响发生阶梯状错断沉陷,海底地层形成古凹槽,但深槽海底地层沉陷速率略大于沉积速率,使得深槽海域长期保持了渤海湾最大的水深环境。初步得出在历史时期曹妃甸深槽经过2万a以上长期存在,深槽的走向经历了南北向-北东向-北西向的转化过程。认为地质构造、古滦河三角洲演变、海洋水动力作用和人类活动等内外营力作用共同控制了曹妃甸海区地貌体系的发育与演化。达到了研究渤海湾曹妃甸深槽海区地形地貌控制因素和深槽的地质演化的目的,为曹妃甸港的规划、运营期维护和未来发展提供科学依据具有重要意义。     

高温刺激导致虾夷扇贝死亡因素的探究

本文探究了高温刺激导致一龄和二龄虾夷扇贝死亡的原因。在高温刺激以及恢复过程中,两种贝龄的扇贝存活率存在显著差异(P0.05),同时两者的谷丙转氨酶(glutamic-pyruvic transaminase,GPT)活性、p53蛋白含量、总抗氧化能力(total antioxidant capacity,TAOC)以及HSP70(heat shock protein 70)含量在高温刺激以及恢复过程中的变化均存在显著差异。而且这些酶的活性(TAOC活性除外)以及蛋白质含量(p53以及HSP70)均受到贝龄、处理时间以及两者综合作用的显著影响。经过Cox模型分析可知,虾夷扇贝受到高温刺激后的存活受到贝龄、GPT活性、TAOC活性、p53含量以及HSP70含量的显著影响。此外,高温刺激会影响扇贝的心跳频率以及心输出量,从而影响心脏对机体的供氧供血能力,影响扇贝对高温的适应能力。     

淤泥质潮滩地貌演变中的水动力及生物过程研究进展

淤泥质潮滩对于海岸防护、增加土地资源、保持生物多样性等具有重要作用。从淤泥质潮滩演变的主要驱动因子——潮流、波浪、生物作用及地下过程四个方面回顾和总结了潮滩演变动力地貌过程的相关研究进展,提出应关注潮滩短期演变规律、波浪与浮泥作用机理、生物生长与潮滩演变定量关系,以及地下过程作用机理等。     

南极长城站验潮站数据处理和潮汐特点初步分析

继在南极中山站建成我国南极首个永久性验潮站后,2012年1月在南极长城站又建成了我国南极第二个永久性验潮站。通过对长城站验潮站相关数据进行分析处理,得到了验潮基准系统的水准网平差结果和验潮仪零点标定结果,以及长城站附近海域海洋潮汐170个分潮的调和常数,并据此进行了潮汐预报,同时分析了长城站潮汐余水位的变化特征,探讨了利用附近的Antarctic Base Prat验潮站的余水位改正长城站潮汐预报的可行性,结果表明使用Antarctic Base Prat验潮站余水位改正长城站潮汐预报,可以显著提高长城站验潮站潮汐预报的精度,余水位改正后2014时段的潮汐预报中误差为±3.42 cm,明显好于改正前的预报中误差±10.43 cm。     

基于Neuman井流理论确定玄武岩潜水含水层渗透系数的应用——以吉林靖宇煤矿为例

全面分析研究区玄武岩潜水含水层水文地质条件的基础上,对稳定流和非稳定理论确定潜水含水层渗透系数的优缺点进行了对比,认为非稳定井流公式确定玄武岩潜水含水层渗透系数是合理的。Aquifer Test软件基于Neuman井流理论配线法求参原理,运用计算机完成了自动求参,避免了人工配线的不足。该文根据吉林靖宇煤矿研究区玄武岩潜水含水层非稳定流抽水试验,分别用Aquifer Test软件和稳定井流公式进行了求参,并对比分析得出:玄武岩含水层弹性释水作用影响时间较长,利用Neuman潜水井流公式求参可靠,且更逼近现实;用Aquifer Test软件实现了自动求参,具有操作简单规范、可比性好的优点。     

Measuring Urban Streetscapes for Livability: A Review of Approaches

Increasing interest in urban livability demands that geographers and planners more precisely define what constitutes a livable streetscape, a fundamental building block of urban places. Widespread examination of streetscape livability will require precise and efficient measurements of (1) physical characteristics at the spatial scale of individual streetscapes and (2) indicators of experiential quality based on revealed behavior or stated preference. This article reviews approaches to collecting both types of measurements, showing that innovative methods using geographic information systems (GIS), Internet-enabled surveys, and even social media could be useful complements to traditional qualitative methods for collecting streetscape measurements.