Evaluating the NOAA Coastal and Marine Ecological Classification Standard in estuarine systems: A Columbia River Estuary case study

A common first step in conservation planning and resource management is to identify and classify habitat types, and this has led to a proliferation of habitat classification systems. Ideally, classifications should be scientifically and conceptually rigorous, with broad applicability across spatial and temporal scales. Successful systems will also be flexible and adaptable, with a framework and supporting lexicon accessible to users from a variety of disciplines and locations. A new, continental-scale classification system for coastal and marine habitats—the Coastal and Marine Ecological Classification Standard (CMECS)—is currently being developed for North America by NatureServe and the National Oceanic and Atmospheric Administration (NOAA). CMECS is a nested, hierarchical framework that applies a uniform set of rules and terminology across multiple habitat scales using a combination of oceanographic (e.g. salinity, temperature), physiographic (e.g. depth, substratum), and biological (e.g. community type) criteria. Estuaries are arguably the most difficult marine environments to classify due to large spatio-temporal variability resulting in rapidly shifting benthic and water column conditions. We simultaneously collected data at eleven subtidal sites in the Columbia River Estuary (CRE) in fall 2004 to evaluate whether the estuarine component of CMECS could adequately classify habitats across several scales for representative sites within the estuary spanning a range of conditions. Using outputs from an acoustic Doppler current profiler (ADCP), CTD (conductivity, temperature, depth) sensor, and PONAR (benthic dredge) we concluded that the CMECS hierarchy provided a spatially explicit framework in which to integrate multiple parameters to define macro-habitats at the 100 m² to >1000 m² scales, or across several tiers of the CMECS system. The classification's strengths lie in its nested, hierarchical structure and in the development of a standardized, yet flexible classification lexicon. The application of the CMECS to other estuaries in North America should therefore identify similar habitat types at similar scales as we identified in the CRE. We also suggest that the CMECS could be improved by refining classification thresholds to better reflect ecological processes, by direct integration of temporal variability, and by more explicitly linking physical and biological processes with habitat patterns.     

抗差Vondrak滤波方法在内孤立波提取中的应用研究

声学多普勒流速剖面仪(ADCP)是对海洋内波监测的有效手段,但受到仪器本身和复杂的海洋环境噪声等影响,走航式ADCP记录的海流数据存在大量噪声,且混有流速异常值。为了进一步提高海洋内孤立波的提取精度与准确性,本文针对走航式ADCP海流数据特点引入IGG3方法的权函数因子,设计了一种抗差Vondrak滤波器,并与快速傅里叶变换、小波分析和滑动平均3种传统滤波方法进行对比,以验证抗差Vondrak滤波方法的有效性与优越性。研究结果表明,抗差Vondrak滤波方法不仅可以有效地滤除流速噪声,还可以自适应剔除海流观测数据中的异常值,由其提取出的内孤立波准确且各层水平流速清晰。因此,与传统滤波方法相比,抗差Vondrak滤波方法在内孤立波提取方面具有一定的优越性。     

走航ADCP观测资料质量控制方法及应用

为完善目前走航ADCP观测资料质量控制尚未形成统一流程的问题,将走航ADCP观测资料质量控制归纳为船速获取、声速校正、偏角校正以及剖面数据处理四个主要步骤,并制定了一套较为系统的走航ADCP观测资料质量控制流程。以渤海辽东湾红沿河核电站周边海域船载走航ADCP观测为例,按照提出的流程进行走航ADCP观测资料的质量控制。通过对比原始观测数据,质量控制后的结果表明u分量流速剔除了23.56%的低可信度数据,而v分量流速剔除了25.96%的低可信度数据。10 m与15 m水深处的质量控制前后的流速-频数直方图表明,本文提出的流程能有效地降低观测随机性的影响。     

组合式流量在线监测系统在变动回水断面的应用

为解决低流速、受变动回水影响等较复杂监测环境下的流量在线监测问题,依据声学多普勒频移及雷达波测速的方法原理,结合新运粮河入滇池口监测断面复杂的水文监测条件实际,采用非接触式雷达波传感器与接触式水平ADCP传感器组合成一套完整的在线流量监测系统,实现河流水表面流速和水下指标流速的同步实时数据采集,再将同步采集的水表面流速和水下指标流速同时输入模型模拟监测断面流场、流速分布,再计算实时流量后,通过GPRS信道传送到中心站服务器,对数据进行分析处理、存储、转录、发布,实现WEB、手机APP远程实时流量、工作状态等查询功能。经近一年的运行,系统正常稳定。     

威马逊台风的实测风暴海流计算及分析

采用潮流调和分析和分离等方法,分析了海流连续观测站上受威马逊台风影响的ADCP海流资料,进行了实测风暴海流的计算。结果显示,风暴海流达到了与天文潮流同等的数量级,并与风暴潮存在一定的关系,如近岸01站风暴潮增水大时,风暴海流量值较大,离岸较远的02站则是在风暴潮变化大时,风暴海流较大。     

基于高频ADCP资料的磨刀门河口羽状流湍流动力特征

利用1 200 kHz的宽频RDI ADCP于2015年7月在磨刀门河口拦门沙前缘的浅水站和沿岸流影响的深水站进行座底观测,采样频率为1 Hz,数据经滤波去噪处理,应用方差方法分析了磨刀门的羽状流湍流动力特征。结果表明,磨刀门河口水流表现出3层流结构,峰值流速出现在表层的羽状流层,深水区雷诺应力量级为10-3~10-5 m2/s2,小于拦门沙前缘的湍流脉动强度;拦门沙前缘和深水区湍流动能密度参数的范围均在0.01~0.6 m2/s2左右,羽状流的湍动能比底边界层高一个数量级。拦门沙前缘羽状流的湍动能生成率量级约为10-3 W/kg,比底层大2~3个量级,且远强于深水区;垂直涡黏系数的大小约为0~0.15 m2/s。总的来说,羽状流表现出层化稳定、混合强烈,以及高的湍动能生成率,为羽状流携带高浊度悬沙离岸远距离搬运提供了湍流动力条件。     

辽东湾中部西岸浅水海域冬季实测海流分析

2015年12月在辽东湾中部西岸浅水海域进行了8个站、连续半个月的坐底ADCP海流剖面观测,通过对分层潮流和余流分析,得到该海域的海流特征如下:1)实测海流以潮流特征占主导,潮流特征为规则半日潮流,优势分潮为M2;M2椭圆长轴大小为25~50 cm/s、方向多为NE-SW向,具有显著的往复流特征。2)观测期间的平均余流为1~10 cm/s,方向多为SW向,平均余流在水平和垂向上的空间差异明显,日均余流波动剧烈;表层余流方向与局地风向具有很好的同步一致性,且距岸较近站位的表层余流受风影响更大;中、底层余流与风的相关性较差。本文得到的余流方向不支持冬季辽东湾北部的边界顺时针环流的存在。     

胶州湾水交换及湾口潮余流特征的数值研究

利用基于普林斯顿海洋模式建立的胶州湾及临近海域潮汐潮流数值模型,结合胶州湾口走航式声学多普勒海流剖面仪(ADCP)测流资料,研究了胶州湾口的潮(余)流特征,并在潮流模型的基础上耦合建立了水质模块,模拟了胶州湾的水交换过程。考虑M2,S2,K1,O1,M4和MS4六个主要分潮,胶州湾口潮流场的模拟与ADCP观测数据吻合较好。外湾口水道上的潮流非常强,大潮期间观测到201 cm/s的峰值流速。团岛岬角的两侧分别存在一个流向相反的余流涡旋,两涡旋在团岛附近辐合,形成了57 cm/s的离岸强余流。整个胶州湾平均水体存留时间为71 d,平均半交换时间为25 d。胶州湾水体交换能力在空间分布上有很大差异:湾口海域最强,向湾顶逐渐减弱。湾内存在两个弱交换区,分别位于湾的西-西南部和东北端,水体存留时间多超过80 d,湾西局部水域最长达120 d,而半交换时间也大多超过40 d。潮流场的结构、强度,以及与湾口距离的远近是造成湾内水交换能力空间差异的主要原因。     

Diurnal Cycle of Sound Scatterers and Measurements of Turbidity Using ADCP in Beppu Bay

From September 20 to 22 in 1994, the vertical profiles of echo intensity and three-component velocities were measured with a bottom-mounted 300 kHz broadband acoustic Doppler current profiler (ADCP) in Beppu Bay in the Seto Inland Sea of Japan. A very strong thermocline was observed from 50 to 60 m. A pronounced diurnal cycle of backscatter strength (BS) was found above the thermocline. However, it was not found under the thermocline where there was a lack of dissolved oxygen. We suggest that the diurnal cycle of BS is caused by the vertical migration of zooplankton. The downward and upward migration occurred in early morning and late afternoon, respectively. The migration speeds estimated from BS isopleth displacements were about 1 cm s^–1. Further, the contribution of turbidity (Tur) to BS was examined by separating out the effect of migrating zooplankton. There was a significant correlation between BS and turbidity under the thermocline. The maximum contributions of the Tur, migrating zooplankton and non-migrating plankton on BS were estimated at 3, 12, 25 dB, respectively. These data suggest that when using an ADCP to estimate Tur, it is very important to consider carefully the backscatter signal from zooplankton.     

基于船载ADCP观测的红沿河核电站周边海域潮流–余流的分离计算

基于红沿河核电站取水口周边海域3个不同断面的船载ADCP短期重复走航观测资料,采用传统调和分析方法和L曲线方法对该资料进行潮流–余流分离计算,并通过对比潮流特征、分析水团运动和余流流向的关系,以及对分离后的潮流与余流进行回报,验证L曲线方法对观测时间较短、重复次数不多的走航ADCP资料进行潮流分离的合理性与有效性。结果表明:(1)应用L曲线方法分离的潮流特征与以往的观测结果较为一致,该方法可有效分离半日潮流与全日潮流,但本文采用的数据长度小于1个典型全日潮周期长度,故整个全日潮族以及区内流场动力方面的分析结果尚存不合理之处,还需采用观测时间较长、重复次数较多的走航观测资料改进;(2)分离后的余流近岸向南、离岸向北的分布,符合观测海域的温盐要素分布,余流结果具有合理性;(3) L曲线方法的回归值与实测瞬时流速线性拟合的相关程度较高,均方根误差为6 cm/s左右,相对误差百分比约为10%。该方法可拓展并推广到近海其他关键断面走航流速观测的潮流分离中,以获得流速特征与物质输运通量等重要信息。