基于贝叶斯网络的海洋生态环境状况评价——以山东省为例

在海洋开发利用活动日益增多,海洋环境保护压力日益增大的背景下,进行海洋生态环境状况科学评价方法的研究可以为开展海洋生态环境监测评估与海洋生态环境保护政策制定提供科学依据,促进改善海洋生态环境状况。本文首先基于贝叶斯网络基本理论,构建了海洋生态环境状况贝叶斯网络评价模型;再以山东省为例,充分融合专家经验知识与客观数据,从定性与定量两个角度评价了2013—2019年山东省近海生态环境状况,分析了各评价指标间关系及其对近海生态环境状况的影响程度。评价结果表明2013—2019年山东省近海生态环境状况保持一般状态,海洋环境质量与海洋生态灾害类指标对评价结果影响最大,山东省海洋环境保护工作初见成效。研究结果表明该评价模型能有效评价海洋生态环境状况,分析结果对于环境保护政策制定具有一定的借鉴意义。     

吉林省玉米产业发展可持续能力评价研究

基于地理信息系统(GIS)及空间分析模型,从玉米生产与加工两个方面构建玉米产业可持续能力评价(sustainabliality Assessment SA)指标体系,对吉林省玉米产业发展可持续能力进行评价,并对吉林省玉米产业布局现状和规划的合理性进行分析。结果表明:长春市辖区由于地理条件优越、交通便捷以及丰富的玉米资源,是玉米产业发展的最优区域。吉林市辖区、四平市辖区、公主岭市、梨树县、农安县、扶余县地理条件相对优越、交通便捷以及丰富的玉米资源,是玉米产业发展的良好区域。松原市辖区、前郭县、德惠市、榆树市、辽源市辖区、东丰县是玉米产业发展的一般区域。大安市、乾安县、长岭县、舒兰市、永吉县、双辽市发展玉米产业条件相对较差。     

洪灾风险评价与区划研究进展

洪灾风险评价是洪灾风险管理的首要步骤。洪灾风险区划是在洪灾风险评价基础上的宏 观分区, 有助于更清晰的把握洪灾风险的空间格局与内在规律。文章首先对洪灾风险相关概念进 行了阐述, 试图达到理清和规范的目的。然后对洪灾风险评价常用方法和洪灾风险区划研究进行 了评述。目前主要的洪灾风险评价方法有地貌学方法、水文水力学模型与系统仿真模拟方法、基 于历史灾情数据的方法、基于水灾史料和古洪水调查的方法、遥感与GIS 方法、基于洪灾形成机 制的系统分析方法等。最后对洪灾风险评价与洪灾风险区划研究进行了小结, 并指出了未来在洪 灾风险评价与区划的数据基础、洪灾风险评价的时空尺度、洪灾风险区划的理论与方法、洪灾风 险评价与区划的技术手段等方面的可能发展前景。     

基于遥感和GIS的建筑物震害损失评估方法研究与实现

介绍了一种使用遥感技术进行震后损失快速评估的方法,评估流程包括震害提取和损失评估两个部分。评估方式根据需求可以分为基于震害指数的评估和基于图像分类结果的评估两种模式,前者通过震害指数与烈度的关系得到地面居民住地的宏观震害情况,结合地震应急数据进行建筑物损失评估;后者采用图像处理技术,选取典型震害样本以图像分类技术得到地面居民住地的分级分类的震害结果,然后计算参数进行损失评估。损失评估的计算根据震害提取模式而不同。这种遥感震害评估方法和计算流程结合了遥感和GIS技术,以满足实际工作需求目标,提高了震害提取的自动化程度,实现多人工作模式,通过有效率的人机交互来提高遥感震害评估的速度。     

Population abundance and seasonal migration patterns indicated by commercial catch-per-unit-effort of hakes (Merluccius capensis and M. paradoxus) in the northern Benguela Current Large Marine Ecosystem

We developed generalised additive models (GAMs) to estimate standardised time-series of population abundance indices for assessment purposes and to infer ecological and behavioural information on northern Benguela hakes, Merluccius capensis and M. paradoxus, using haul-by-haul commercial trawl catch-rate data as proxies for hake densities. The modelling indicated that individual ship identifiers should be used rather than general vessel characteristics, such as vessel size. The final models explained 79% and 68% of the variability in the commercial catch rates of M. capensis and M. paradoxus, respectively. The spatial density patterns were consistent and confirmed existing knowledge about these species in the northern Benguela system. Furthermore, seasonal migration patterns were described for the first time and were found to correspond to the known spawning areas and seasons for M. capensis and M. paradoxus. Spatial density patterns were validated using the geostatistical modelling results of fisheries-independent trawl survey data. Improved understanding of the relationships between fleet dynamics and fish movement can be achieved by taking into consideration the present catch-rate model and spatial and seasonal distribution maps. We conclude that the yearly standardised CPUE time-series are problematic as proxies for total stock abundance because of spatial coverage issues. Consequently, such CPUE data should not be used for stock-size assessments and fisheries advice concerning northern Benguela hakes until this is solved. We generally recommend the exclusion of standardised CPUE time-series from stock assessments when important and changing parts of the stock distribution cannot be targeted by the fishery, such as due to closed areas or seasons.     

Wintertime rates of net primary production and nitrate and ammonium uptake in the southern Benguela upwelling system

The elevated levels of primary productivity associated with eastern boundary currents are driven by nutrient- rich waters upwelled from depth, such that these regions are typically characterised by high rates of nitrate-fuelled phytoplankton growth. Production studies from the southern Benguela upwelling system (SBUS) tend to be biased towards the summer upwelling season, yet winter data are required to compute annual budgets and understand seasonal variability. Net primary production (NPP) and nitrate and ammonium uptake were measured concurrently at six stations in the SBUS in early winter. While euphotic zone NPP was highest at the stations nearest to the coast and declined with distance from the shore, a greater proportion was potentially exportable from open-ocean surface waters, as indicated by the higher specific nitrate uptake rates and f-ratios (ratio of nitrate uptake to total nitrogen consumption) at the stations located off the continental shelf. Near the coast, phytoplankton growth was predominantly supported by ammonium despite the high ambient nitrate concentrations. Along with ammonium concentrations as high as 3.6 µmol l^–1, this strongly suggests that nitrate uptake in the inshore SBUS, and by extension carbon drawdown, is inhibited by ammonium, at least in winter, although this has also been hypothesised for the summer.     

Damage assessment for submarine photoelectric composite cable under anchor impact

The impact of dropped anchor on submarine photoelectric composite cables may possibly cause electrical faults, i.e. electricity and optical signal transmission failure. In order to study the impact capacity and structural impact failure mechanism, a test setup is designed originally to examine the structural and functional integrity. A detailed finite element model (FEM) is created, considering material nonlinearity and component interaction. A parametric analysis has been performed to predict the deformation of components and impact forces, under different impact velocities and collision directions. Relationships between the armor layer indentation rate and that of internal power and optical units are achieved. The impact deformation of internal entities can be evaluated intuitively by armor layer indentation. The proposed experimental and numerical methods are well correlated, suitable to assess the impact capacity of subsea power cables and assist the protection design of subsea power cables in engineering.     

利用基于环境因子的动态产量模型评估西南大西洋阿根廷滑柔鱼

西南大西洋阿根廷滑柔鱼,Illex argentinus,巴塔哥尼亚南部群体是重要的经济种类。海洋环境因子在柔鱼资源分布中起着重要的作用。本研究利用基于环境因子的动态产量模型评估2000-2010年的滑柔鱼的资源量。假设海洋环境因子（滑柔鱼产卵场最适宜海表温度占比）影响动态产量模型的参数K,DIC值表明在正态分布和均匀分布下均是基于环境因子的评估模型优于基本的动态产量模型。阿根廷滑柔鱼的最大可持续产量（MSY）在351600吨到685 100吨之间,资源生物量在1322400吨到1 803 000吨之间,其捕捞死亡系数均小于F_0.1和F_MSY,资源处在良好状态,没有遭受过度捕捞。本研究为应用环境因子在柔鱼类的资源评估与管理提中供了科学的参考方法。     

基于加权贝叶斯网络的海洋灾害风险评估

全球气候变化背景下,海洋灾害的群发性、难以预见性和灾害链效应日显突出,造成的损失逐年上升,开展海洋灾害的风险评估工作至关重要。针对海洋灾害评估中的不确定问题,本文首先基于风险理论剖析了海洋灾害风险的不确定性特征,构建了灾害评估指标体系;然后基于贝叶斯网络模型,提出针对不确定性灾害评估的风险贝叶斯网络,进而基于主客观定权,构建了加权贝叶斯网络评估模型;最后对我国沿海地区海洋灾害开展评估研究。实验表明,该评估模型有效实现海洋灾害的风险评估,具有实际可操作性。     

基于并行计算的海洋平台谱分析疲劳筛选技术研究

为了得到海洋平台疲劳失效风险最大的焊接区域,提出了以有限元网格单元应力为基础的谱分析筛选方法,并开发了程序。程序采用并行计算架构,单次完成数万个单元的累积损伤度/疲劳寿命计算,并通过有限元软件以云图方式显示疲劳寿命。采用该程序计算双浮筒半潜式平台的疲劳寿命。结果表明,该型平台疲劳失效风险较高的区域为立柱与上壳体下浮体连接对角线转角区域、浮筒中纵舱壁与立柱连接区域。并行计算方法的引入,大大缩减疲劳损伤度计算的分析时间,采用22核心的CPU,时间缩短为原来的1/18.5,17小时完成全平台外壳单元谱分析计算。