不确定度在多波束测深数据质量评估中的应用

在海道测量中,由于无法对测量数据进行多余和重复观测,因而不能精确测定各种误差,同时也几乎没有测量成果质量的控制指标,这正是多波束测深数据质量评估所面临的现实且急需解决的难题。基于国际海道测量规范S-44(5th)的要求,研究了不确定度在多波束数测深数据质量评估中的应用。通过实例分析可知,测量结果的可用性在很大程度上取决于其不确定度的大小,不确定度越小,说明测量结果质量越高,越具有可靠性。因此,将不确定度充分合理地应用于多波束测深数据处理和评估是一种最为理想的途径。     

Assessing seawater quality with a variable fuzzy recognition model

With the rapid development of the marine economy industry, human exploitation of marine resources is increasing, which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly, investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered, combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study, the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay, water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods, can more reasonably determine the water quality of various samples, and is more suitable for evaluation of a multi-index, multi-level, nonlinear marine environment system; accordingly, the generated model will be an effective tool for seawater quality evaluation.     

基于模型流的资源环境模型复合语言与应用

资源环境领域的研究对象常被抽象为若干子模型复合而成的复杂模型,如何有效地集成这些子模型成为资源环境模型集成的主要内容。随着各种地学相关问题的日益复杂和多样化,传统的建模语言与友好易用的图形建模等集成建模方式已无法满足大规模高复杂的模型构建需求。本文在已有的相关理论基础上,针对复合模型构建的灵活性和复杂性之间的矛盾,将模型复合模式的本质抽象化,提出资源环境"模型流"的形式化语言描述,实现了模型流建模环境。应用实例表明,基于模型流的模型构建方式采用简洁的符号表示,避免了繁琐的图形构建环节,可快速灵活地构建高复杂度模型。模型流的提出为模型复合的调度性能优化和智能自动化集成等进一步的研究奠定了基础。     

Damage localization of marine risers using time series of vibration signals

Based on dynamic response signals a damage detection algorithm is developed for marine risers. Damage detection methods based on numerous modal properties have encountered issues in the researches in offshore oil community. For example, significant increase in structure mass due to marine plant/animal growth and changes in modal properties by equipment noise are not the result of damage for riser structures. In an attempt to eliminate the need to determine modal parameters, a data-based method is developed. The implementation of the method requires that vibration data are first standardized to remove the influence of different loading conditions and the autoregressive moving average (ARMA) model is used to fit vibration response signals. In addition, a damage feature factor is introduced based on the autoregressive (AR) parameters. After that, the Euclidean distance between ARMA models is subtracted as a damage indicator for damage detection and localization and a top tensioned riser simulation model with different damage scenarios is analyzed using the proposed method with dynamic acceleration responses of a marine riser as sensor data. Finally, the influence of measured noise is analyzed. According to the damage localization results, the proposed method provides accurate damage locations of risers and is robust to overcome noise effect.     

广西沿海超高层建筑进行气象灾害风险评估必要性

通过列举国内外超高层建筑遭受气象灾害的案例,结合广西气象灾害风险区划资料,分析大风、台风、龙卷风、暴雨、雷电（雷击）、强降温等灾害与沿海超高层建筑的关系,以及可能造成的影响和潜在的风险,论述了超高层建筑进行气象灾害风险评估可实现最大安全与最小投资的统一.以期为广西沿海开展“超高层建筑气象灾害风险评估”工作提供理由和依据.     

迁徙季节水鸟对滨海不同类型湿地的利用——以广西山口红树林自然保护区为例

为了解迁徙季节水鸟在不同滨海湿地中的结构组成和行为特征,于2010年3月、4月、9月、11月和2011年3月,在山口自然保护区及其周边地区对不同滨海湿地类型的水鸟展开调查。结果显示:迁徙季节天然湿地共记录到水鸟6目8科39种,人工湿地有6目9科50种。天然湿地比人工湿地的物种数少,整体数量上,春季人工湿地大于天然湿地,秋季则为天然湿地水鸟数量更多。鹬鸻类在不同滨海湿地类型中觅食行为比例差异显著,在天然湿地中觅食比例达到76.67%,而在人工湿地中则以休息和睡眠等非觅食行为为主。天然湿地是鹬鸻类的重要觅食地,而人工湿地则是鹭类和鹬鸻类的主要休息地。鹭类在两种滨海湿地类型中觅食个体的数量不随潮汐的涨落而相应增减。鹬鸻类随潮汐高度上升,在两种滨海湿地类型中觅食的个体数量减少。山口地区的滨海人工湿地是水鸟在高潮期间天然湿地良好的替代栖息地。     

胶洲湾5 种海藻中的多不饱和脂肪酸与有机氯农药共摄入风险的评估研究

海藻中含有丰富的多不饱和脂肪酸(PUFA),但同时也富集一定浓度的有机氯农药,食用海藻摄入多不饱和脂肪酸的同时也会摄入这类污染物,其共摄入风险分析评估是食品安全领域必须关注的科学问题。本文以胶州湾近岸采集的条斑紫菜、坛紫菜、海带、裙带菜、龙须菜等5种常见经济海藻为研究对象,分析了其脂肪酸和有机氯农药组成情况。结果表明,这5种海藻中脂肪酸以棕榈酸、油酸、亚油酸、花生四烯酸和二十碳五烯酸(DHA)为主,n-6和n-3 PUFA的比值远小于建议值4,均有较高的营养价值;5种海藻中六六六类农药主要残留的是γ-HCH,滴滴涕类农药中P,P’-DDD、P,P’-DDT残留量较高。对PUFAs中的有效成分二十碳五烯酸(EPA)+DHA与有机氯农药污染物共摄入时对人体的益害风险进行了评估,发现对于健康成人在达到EPA+DHA摄入要求下,食用这5种海藻带来的多不饱和脂肪酸与有机氯农药污染物共摄入引起非致癌或致癌的健康风险较低。     

海冰对北极海冰边缘区大洋光学观测的影响评估

Diffuse attenuation coefficient(DAC) of sea water is an important parameter in ocean thermodynamics and biology, reflecting the absorption capability of sea water in different layers. In the Arctic Ocean, however, sea ice affects the radiance/irradiance measurements of upper ocean, which results in obvious errors in the DAC calculation. To better understand the impacts of sea ice on the ocean optics observations, a series of in situ experiments were carried out in the summer of 2009 in the southern Beaufort Sea. Observational results show that the profiles of spectral diffuse attenuation coefficients of seawater near ice cover within upper surface of 50 m were not contaminated by the sea ice with a solar zenith angle of 55°, relative azimuth angle of 110°≤φ≤115° and horizontal distance between the sensors and ice edge of greater than 25 m. Based on geometric optics theory, the impact of ice cover could be avoided by adjusting the relative solar azimuth angle in a particular distance between the instrument and ice. Under an overcast sky, ice cover being 25 m away from sensors did not affect the profiles of spectral DACs within the upper 50 m either. Moreover, reliable spectral DACs of seawater could be obtained with sensors completely covered by sea ice.     

Fishers' perceptions,facilitating factors and challenges of community-based no-take zones in the Sian Ka’an Biosphere Reserve,Quintana Roo,Mexico

In response to fisheries decline in the Mexican Caribbean and continuing deterioration of the Mesoamerican Reef, conservation NGOs have begun to negotiate and collaboratively design a network of no-take zones (NTZs) with three fishing cooperatives in the Sian Ka’an Biosphere Reserve (SKBR), among other places along the coast of Quintana Roo. Spiny lobster (Panulirus argus) is the target of the main fishery within cooperative concessions. Fishers are uniquely positioned to enforce and monitor NTZs and evaluate their effectiveness. This study analyzes fishers' perceptions as indicators of social acceptance of NTZs, and identifies facilitating factors and challenges of the community-based process. Consistent with similar studies, responses of fishers (89 out of a population of 124) to a semi-structured interview showed that perceptions of NTZs largely reflect fishers' concerns and interests. A high proportion of fishers accurately identified main NTZ objectives of regulation, conservation and economic improvement, as well as NTZ locations. Further, fishers cared about ecosystem sustainability and, because NTZs would not significantly limit their main economic activity, endorsed the initiative while expecting additional benefits. Declining trends in lobster catch influenced a perceived need for NTZs. Major concerns were that illegal fishers would reap NTZ benefits and that economic impacts and benefits were uncertain. Most fishers found the decision-making process inclusive, were willing to take responsibility for enforcing NTZs and believed people leading the process were trustworthy. Differences in endorsement of NTZs among cooperatives points to the importance of understanding fishers’ incentives to collaborate, and the leadership and organizational dynamics which shape participatory processes. This analysis highlights challenges in advancing NTZs in complex ecological, socio-economic and regulatory contexts. It underscores the need for community-based processes that transcend understanding of conservation measures but also invests in sustainable, operative and trustful working relationships, as well as the urgency of interdisciplinary approaches in ensuring effective design and implementation of this relatively new fishery management tool.     

基于PSR 模型的厦门湾中华白海豚资源评价

中华白海豚(Sousa chinensis Osbeck,1765)为国家Ⅰ级重点野生保护动物,厦门湾作为其在中国的主要分布区之一,自20世纪80年代以来,海岸带开发活动和环境污染程度均不断加大,导致此海域中华白海豚的生存环境不断恶化,种群数量日趋减少,资源状况面临严重威胁。作者采用PSR(压力-状态-响应)模型框架,对厦门湾中华白海豚资源面临的主要环境压力、当前的资源状态以及采取的保护响应措施进行了一个较全面的评价,评价结果认为:围填海工程、船只交通、水下爆破作业和陆源排污等人类活动给厦门湾中华白海豚带来了生境缩小、身体伤害、环境污染和饵料短缺等严重影响,厦门市已采取的保护政策响应包括就地保护、迁地保护和公共管理等方面,目前种群资源数量稳定在80头左右并有潜力扩大。基于评价结果,作者提出了加强保护的建议和策略,可为厦门以外海区的中华白海豚保护工作提供参考。