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。     

白令海大型底栖动物群落结构及其空间分布格局

Due to its unique geological location, the Bering Sea is an ideal place to investigate the water exchange and ecosystem connectivity of the Pacific Ocean–Arctic Ocean and subarctic–Arctic region. Based on a number of summer surveys(July to September, 2010, 2012 and 2014), macrobenthic communities and their spatial-temporal patterns are exhibited for the majority of the Bering Sea(53°59′–64°36′N). The results show that the macrobenthic communities were dominated by northern cold-water species and immigrant eurythermic species, and the communities assumed a dispersed and patchy distribution pattern. Polychaetes(Scoloplos armiger), crustaceans(Ceradocus capensis) and sea urchins(Echinarachnius parma) were the main dominant groups in the shallow shelves; the sea star(Ctenodiscus crispatus) and the brittle star(Ophiura sarsii) were the main dominant groups in the continental slope; whereas small polychaetes(Prionospio malmgreni) dominated the basin area. Sediment type, water depth, and currents were the major factors affecting the structure and spatial distribution of the macrobenthic communities. Compared with other seas, the shallow areas of the Bering Sea showed an extremely high-standing biomass. In particular, the northern shelf area(north of St. Lawrence Islands and west of 170°W),which is primarily controlled by Anadyr Water, is an undersea oasis. In contrast, a deficiency in the downward transport of particulate organic carbon has resulted in a desert-like seabed in the basin area. By comparing our results to previous studies, we found that macrobenthic communities of the Bering Sea have undergone significant structural changes in recent decades, resulting in a decrease in abundance and an increase in biomass.In addition, populations of amphipods and bivalves in the northern shelves have decreased significantly and have been gradually replaced by other species. These changes might be associated with advanced seasonal ice melting,changes in organic carbon input, and global warming, indicating that large-scale ecosystem changes have been occurring in the Bering Sea.     

西太平洋深海海水中乙醛降解菌多样性及群落结构研究

As a major aldehyde pollutant widely existing in industry and our daily life, acetaldehyde is more and more harmful to human health. As characteristic habitat niche, bacteria from deep sea environments are abundant and distinctive in heredity, physiology and ecological functions. Thus, the development of acetaldehyde-degrading bacteria from deep sea provides a new method to harness acetaldehyde pollutant. Firstly, in this study,acetaldehyde-degrading bacteria in the deep sea water of the West Pacific Ocean were enriched in situ and in the laboratory respectively, and then the diversity of uncultured bacteria was studied by using 16 S r RNA genes. Then acetaldehyde-degrading strains were isolated from two samples, including enrichment in situ and enrichment in laboratory samples of deep sea water from the West Pacific Ocean using acetaldehyde as the sole carbon source,and then the ability of acetaldehyde degradation was detected. Our results showed that the main uncultured bacteria of two samples with different enrichment approaches were similar, including Proteobacteria,Actinobacteria, Firmicutes, Cyanobacteria, but the structure of bacterial community were significant different.Four subgroups, α, γ, δ and ε, were found in Proteobacteria group. The γ-Proteobacteria was dominant(63.5%clones in laboratory enriched sample, 75% clones in situ enriched sample). The species belonged to γ-Proteobacteria and their proportion was nearly identical between the two enrichment samples, and Vibrio was the predominant genus(45% in laboratory enriched sample, 48.5% in situ enriched sample), followed by Halomonas(9% in situ enriched sample) and Streptococcus(6% in laboratory enriched sample). A total of 12 acetaldehyde-degrading strains were isolated from the two samples, which belonged to Vibrio, Halomonas,Pseudoalteromonas, Pseudomonas and Bacillus of γ-Proteobacteria. Strains ACH-L-5, ACH-L-8 and ACH-S-12,belonging to Vibrio and Halomonas, have strong ability of acetaldehyde degradation, which could tolerate 1.5 g/L acetaldehyde and degrade 350 mg/L acetaldehyde within 24 hours. Our results indicated that bacteria of γ-Proteobacteria may play an important role in carbon cycle of deep sea environments, especial the bacteria belonging to Vibrio and Halomonas and these strains was suggested for their potentials in government of aldehyde pollutants.     

中国近海海上新能源开发环境风险综合区划

针对海上新能源开发的环境风险问题,基于中国近海的海面风场、海浪和热带气旋资料,统计其高值频率、概率极值、平均值、气候变化趋势等指标;利用层次分析法和互反判断矩阵计算近地层大风、大浪、热带气旋危险性指数,并对三者的综合危险性指数进行区划,为中国近海海上风能、波浪能、海流能、潮汐能等开发活动规避自然风险提供参考。研究表明:海上新能源开发环境风险偏高的海区包括南海北部、吕宋海峡、菲律宾海中北部等,该海域热带气旋引发局地大风巨浪或将能量经吕宋海峡向南海传播形成大浪区;风险居中的海区包括北部湾、南海中部、菲律宾海中南部、台湾周边沿岸海域、东海中部等,这里虽然有台湾海峡、越南东南部海域等盛行大风区,但其相对热带气旋来说风险较低;风险偏低的海区包括渤海、黄海大部、东海西北部、南海南部等,这里风浪的各项指标都很低,热带气旋的直接和间接影响几乎为零。此外,利用有效风速出现频率、波浪能开发有效时间占比,分别进行风能、波浪能资源区划,给出海上风能、波浪能的资源与风险综合区划。     

基于边际效应分析的海洋资源环境承载力评估

海洋资源环境的开发利用可视为将海洋资源环境作为生产投入要素的广义生产行为,因此受边际效应递减规律的制约。本研究基于资源环境边际效应的经济学视角,以对海洋资源环境破坏较大的填海造地建设为研究重点,通过基于GIS的海洋资源环境边际机会成本评估和基于边际效应分析的海洋资源环境承载力评估模型,建立海洋资源环境承载力的评估理论和方法,重新认识海洋资源环境承载力在海域管理绩效评估和科学决策中的重要作用,为区域海洋资源优化配置提供新的方法体系;关键成果是构建基于边际效应分析的海洋资源环境承载力评估模型,模型将海洋资源环境纳入宏观生产投入要素,由宏观要素的边际收益测算承载力极限阈值,其中对海洋资源环境的市场价值和非市场价值的正确评估是承载力评估的关键。     

环渤海湾海洋资源环境承载力定量研究

环渤海湾地区经济发展迅速但开发利用过度,生态问题突出。本文以社会环境学理论、系统论、可持续发展理论等为基础,建立了环渤海湾海洋资源环境承载力评价指标体系,利用单项评价法,以地级市为基本单位对环渤海湾地区的海洋资源环境承载力进行评价。结果表明滨州市的海洋资源环境承载力较好,其次为唐山市和天津市,沧州市的海洋资源环境承载力较弱。     

三种凡纳滨对虾池塘养殖模式环境因子变化和养殖效益的分析

研究了3种凡纳滨对虾池塘养殖模式环境因子变化情况和对养殖效益的分析。实验分为3种不同的养殖模式:对虾单养组、鱼虾混养A组、鱼虾混养B组。结果表明:pH变化范围在8.40~9.06之间,其中对虾单养组pH较之两组鱼虾混养组略高,最高值达9.06;COD变化范围在101~211之间,其中对虾单养组COD较之两组鱼虾混养组略高,范围在132~211之间;氨氮和亚硝酸盐氮浓度为对虾单养组>鱼虾混养A组>鱼虾混养B组;异养菌数目和弧菌数目,随着养殖的进行呈现逐渐增加的趋势,最大值分别为对虾单养组1.1×106 CFU/mL、2.0×103 CFU/mL,鱼虾混养A组1.45×106 CFU/mL、1.80×103 CFU/mL,鱼虾混养B组1.20×106 CFU/mL、1.56×103 CFU/mL;养殖效益上,总产值、纯利润、亩利润、投入产出比均呈现出鱼虾混养B组>鱼虾混养A组>对虾单养组。由此可见,凡纳滨对虾和鱼类混养,可以在保证水质的前提下,提高凡纳滨对虾养殖规格,提高投入产出比,增加养殖效益,是一种相较于凡纳滨对虾单独养殖优越的养殖模式;而不同规格和数量的鱼类和不同数量凡纳滨对虾的混养,又会产生不同的养殖效益。     

HHT-EEMD用于IGS站高程时间序列分析

利用经验模态分解（EMD）和整体经验模态分解（EEMD）方法,将BJFS站2000~2015年高程时间序列进行分解,发现其不仅存在1 a、0.5 a、0.25 a、2个月、1个月以及长周期等周期项,还存在以往方法很难探测出来的近似2 a周期信号。与EMD分解结果对比,整体经验模态分解可以明显减弱模式混叠现象。对各分量进行Hilbert 变换（HHT）,得到时间-频率-能量的Hilbert 频谱图。结果表明,年周期和2 a周期变化是高程运动的主要贡献项。利用小波变换方法对比验证EEMD的分解结果表明,与小波分析相比,EEMD重构信号与高程序列差异的RMS更小,证明了HHT-EEMD方法在数据资料分析过程中的有效性。对环境负载及GRACE负载造成的测站位移进行功率谱分析得出,环境负载确实会造成IGS站高程时间序列的1 a、0.5 a以及季节性运动,GRACE负载还验证了2 a信号的存在。     

“海上丝绸之路”超大城市环境变化遥感分析

随着城市化进程的加快,如何及时、精确地对城市环境的变化做出评价,进而制定出合理的发展方案,对城市可持续发展至关重要。本文综合利用卫星遥感获取的PM_2.5浓度数据、地表温度数据（Land Surface Temperature,LST）、植被指数数据（Normalized Difference Vegetation Index,NDVI）及城市用地辅助信息数据,基于综合评价指标,分析海上丝绸之路沿线12个超大城市地区2000-2013年环境质量的动态变化。研究结果表明,2000-2013年,海上丝绸之路沿线约75%的超大城市呈现出不同程度的环境恶化现象。12个超大城市用地环境恶化及逐步恶化面积占研究区域总面积的31.33%（4732.39 km²）。2000-2013年,城市扩张用地恶化和逐步恶化面积约占总扩张用地的29.48%（3765.83 km²）。平均地表温度的上升、植被覆盖度的急剧下降及PM_2.5浓度的增加均对海上丝绸之路沿线超大城市环境质量变化产生影响。其中,空气中PM_2.5浓度的大幅度增加是2000-2013年海上丝绸之路沿线超大城市扩张用地环境退化的主要原因。     

面向作战任务的战场环境仿真过程对象模型

针对目前战场环境仿真系统与指控系统之间互操作性还不完善,需要构建一种面向作战任务的战场环境仿真过程模型来有效解析指控系统的关键信息需求。分析了仿真过程结构化特征,采用面向对象的方法构建仿真过程概念模型;分析GeoBML的数据模型和形式化语法,使用形式化语言建立仿真过程的逻辑语义模型;定义仿真过程对象数据结构,构建任务驱动下的仿真过程数据映射模型。最后,基于该模型设计战场环境仿真平台组件并应用,验证其合理性与可扩展性。