基于遥感影像大数据、卷积神经网络的福建省有效致灾雷电分布模型及应用

为了研究福建省有效致灾雷电的分布情况，基于福建省2004—2012年闪电定位数据及雷击人员伤亡数据、福建省L17级谷歌遥感影像瓦片，引入卷积神经网络模型对遥感影像所在区域是否属于人员活动的属性进行建模、训练和预测，得到福建省人员活动属性的格点产品，结合福建省历史雷电数据对有效致灾的雷电分布情况进行了分析，结果表明：①设计的遥感影像+CNN识别模型具有一定的可行性和准确率，通过显著性水平为0.01的假设检验；②福建省有63.55%的格点为无人员活动区域；③平均有45.36%的闪电落在无人员活动的区域，因地制宜地对其他致灾闪电进行预警是提高应急减灾服务效果的可行途径；④有效致灾雷电密度与历史雷击人员伤亡数据的相关性远大于常规雷电密度与历史雷击人员伤亡数据的相关性，有效致灾雷电分布在表征雷电灾害上比常规雷电分布更具有指示意义。     

绿潮暴发对浮游动物群落结构影响研究

本调查于2016年和2017年的5月、8月,对日照近岸海域浒苔暴发区进行了4个航次的浮游动物断面调查。4个航次中,2016年和2017年5月航次获得的种类数要明显低于同年8月航次,而平均丰度和湿重生物量均高于同年8月航次。造成这种情况的原因可能是调查海域8月浒苔暴发结束,浒苔的消亡过程会大量消耗营养盐,导致水体中营养盐含量下降,进而影响到其他浮游植物和浮游动物的生长。应用PRIMER软件中的单变量分析得到群落种数(S)、丰富度(d)、香农-威纳指数(Shannon-Weaner index)(H′)和均匀度(J),从多样性指数分析可以看出,5月航次的生物多样性均劣于同年8月航次。不同年度相同季节航次中出现的优势种极其相似,而不同季节航次出现的优势种则大不相同。     

前三岛海域国家级水产种质资源保护区海水环境质量评价

为更好地保护和发展前三岛海域国家级水产种质资源保护区,文章根据2015年8月和2016年8月2个航次的监测数据,对该保护区海水的化学需氧量和营养盐等监测项目进行连续分析,并运用营养指数法、营养状态质量指数法和潜在性富营养化评价法,对该海域的海水环境质量进行综合评价。研究结果表明:总体来看,前三岛海域海水环境质量处于良好状态,且2016年8月优于2015年8月。     

应用系统分析与事故树模型的设备雷电灾害风险评估

分析目前国内雷电灾害风险评估发展现状,针对精细化雷击风险评估需求,以某大桥塔体电梯雷电灾害风险评估为例,在对雷击损坏途径进行系统分析的基础上,引入事故树(FTA)分析方法对电梯雷击损坏事件的致因关系进行了建模、分析与评价,得出电梯雷击损坏事件发生的年预计概率、导致雷击电梯损坏事件发生的关键以及最佳控制雷击电梯损坏事件发生的最有效因素。     

基于博弈论的中国有居民海岛旅游开发决策研究——以山东烟台养马岛为例

有居民海岛的旅游开发决策是一个由政府、旅游开发商、海岛居民、海岛旅游者等决策主体相互作用并寻求最终均衡状态的行为选择,故将经济学中的博弈论引入海岛旅游研究中,以解释有居民海岛旅游开发现状和探求其开发决策中存在问题的解决方案。该研究结果可为我国其他有居民海岛的旅游开发提供借鉴和参考。     

屯溪地区巨盐核浓度分布特点

1981年6—7月安徽省屯溪地区巨盐核观测的结果表明:1.直径2微米左右的巨盐核可能对屯溪夏季积状云中一些初始大云滴的形成起重要作用;2.屯溪地区的巨盐核主要源地是海洋,该地的巨盐核浓度与风向、风速以及天气背景密切相关.     

上海地区雨水酸度与天气背景的关系

1981—1983年在上海地区11个观测站进行了雨水pH值观测,取到资料2448份.从资料分析得到:(1)雨水pH值与天气背景有关,静止锋天气影响时,酸雨出现几率达44.5％,雨水较酸;暖锋天气时,酸雨出现几率仅9％.(2)台风、高压边缘天气影响下,酸雨的形成主要是受局地污染源的影响;但静止锋、冷锋、低压系统天气时,酸雨的形成不仅受局地污染源的影响,而且还可能受随气流输送来的外来污染物的影响.     

新安江流域上空云内外巨盐核的分布

1979—1980年6—7月份在新安江流域上空进行了云内外巨盐核的观测,得到:(1)大气中云内外的巨盐核浓度分布都与天气背景有关;(2)云内巨盐核浓度大于同高度上的云外巨盐核浓度,不同云内巨盐核浓度和谱型不一样;(3)云内巨盐核浓度要比小云滴少两个量级,因此巨盐核作为凝结核,对形成小云滴的贡献是很小的。     

Characterization of marine microplankton communities of Qingdao coastal areas using randomly amplified polymorphic DNA（RAPD）

Microplankton communities of three coastal sites of Qingdao, Shandong Province, China were investigated using RAPD (random amplified polymorphic DNA) molecular markers and morphological observations. Eight RAPD-primers were selected to amplify the DNA polymorphy. The genetic distances inferred from the pairwise similari-ties were calculated for the phylogenetic tree construction. Meantime, the traditional microscopic determination, a way of visualizing the species composition, was performed to detect the major taxa of microplanktons from all samples. Results showed that: (1) the band sharing index values were in the range of 0. 504 2-0. 763 2 among samples from the same sampling site at different time scales, while 0.406 5-0.685 7 among the samples from different stations at the same time scales, indicating that spatial variations of microplankton communities were more pronounced than temporal ones; (2) samples from the same station basically clustered together, cor-responding to the geographic distribution of the sampling sites; (3) diversity derived from genetic and morpho-logical data did not correspond with each other well.     

Assessment of phytoplankton class abundance using fluorescence excitation-emission matrix by parallel factor analysis and nonnegative least squares

The feasibility of using fluorescence excitation-emission matrix (EEM) along with parallel factor analysis (PARAFAC) and nonnegative least squares (NNLS) method for the differentiation of phytoplankton taxonomic groups was investigated. Forty-one phytoplankton species belonging to 28 genera of five divisions were studied. First, the PARAFAC model was applied to EEMs, and 15 fluorescence components were generated. Second, 15 fluorescence components were found to have a strong discriminating capability based on Bayesian discriminant analysis (BDA). Third, all spectra of the fluorescence component compositions for the 41 phytoplankton species were spectrographically sorted into 61 reference spectra using hierarchical cluster analysis (HCA), and then, the reference spectra were used to establish a database. Finally, the phytoplankton taxonomic groups was differentiated by the reference spectra database using the NNLS method. The five phytoplankton groups were differentiated with the correct discrimination ratios (CDRs) of 100% for single-species samples at the division level. The CDRs for the mixtures were above 91% for the dominant phytoplankton species and above 73% for the subdominant phytoplankton species. Sixteen of the 85 field samples collected from the Changjiang River estuary were analyzed by both HPLC-CHEMTAX and the fluorometric technique developed. The results of both methods reveal that Bacillariophyta was the dominant algal group in these 16 samples and that the subdominant algal groups comprised Dinophyta, Chlorophyta and Cryptophyta. The differentiation results by the fluorometric technique were in good agreement with those from HPLC-CHEMTAX. The results indicate that the fluorometric technique could differentiate algal taxonomic groups accurately at the division level.