吉林省冰雹天气的时空分布

对1990～2003年4～10月吉林省9个市(州)51个气象站冰雹天气的降雹日数、年分布、年变化、日变化和降雹的主要路径等时空分布特征进行统计分析。把近14年与过去30年吉林省冰雹天气气候特征相比较,除冰雹年变化和日变化无差异外,降雹日数年分布和主要冰雹路径有所不同。分析表明,近14年降雹线共9条,大部分大致呈NW-SE走向,其中有2条SW-NE向降雹线穿过全省中部地区。     

河北省中南部一次大雾天气过程分析

对2003年11月河北省中南部大雾天气进行了分析,结果表明与稳定度有关的物理量场的变化不仅是强对流等灾害性天气的预报指标,对大雾天气也有一定的指示意义：雾是在稳定的大气层结下出现的天气现象,根据大气稳定层结的状况及变化,可以判断大雾天气的有无及其生消时间。另外,前期湿度条件的积累也是影响大雾生成的主要原因。     

运用多元统计方法识别浙北海域两个典型港湾的水质状况

浙北海域两个典型港湾,杭州湾与象山港的水体污染状况日趋严重。本文运用多元统计方法,对分析了研究海域水体的物理及生物地球化学要素进行了量化分析。结果表明,根据物理及生物地球化学特性,层次聚类分析可将研究海域划分为两个不同的子区域;主成分分析分别在杭州湾和象山港识别出3个潜在的污染源,且陆源径流的输入、沿岸工业排污以及自然演化过程为主要源头。因此,研究海域的生态环境保护刻不容缓,应该立即采取相关措施。     

大连市滨海湿地现状及加强管护工作对策研究

文章利用遥感技术获取了大连市2016年滨海湿地基本状况信息,通过实地调查和查阅资料基本摸清了研究区水鸟及栖息地概况,收集整理了研究区开展滨海湿地管理与保护工作情况,简要阐释了当前滨海湿地管护工作中存在的功能退化等问题,辨识性分析了引发问题的填海造地、建设力度与保护经费不足等驱动力因素,提出了应从健全滨海湿地管理与保护制度机制、加大新建保护区与已建保护区管护工作力度、开展生态修复工作、开展滨海湿地生态补偿工作、严格自然滨海湿地开发利用管理和加强滨海湿地调查监测6个方面加强滨海湿地管护工作的对策及建设性意见。     

海洋文化圈的旅游开发策略研究

近年来,旅游产业在国民经济中的地位越来越重要,学术界对旅游产业的研究也越来越多,海洋文化旅游是最近10年才受到学者们的关注,并且在近几年内发展迅速,其中研究文化要素在海洋文化旅游中的价值尤其重要。但从总体上看,目前我国的海洋文化旅游的发展水平尚处于起步阶段,在国际范围内与旅游业发达的国家和地区还相去甚远。文章通过资料收集整理与分析,结合现阶段国家发展海洋强国的战略,以及国家构建长三角、环渤海等五大海洋文化圈的纲要文件,以海洋文化旅游的相关概念和理论为依据,对我国的长三角、珠三角、环渤海、海峡西岸、海南岛—北部湾五大海洋文化圈的旅游资源的总体状况进行简单分析和评价,由此提出海洋文化圈的旅游开发策略。     

Effects of temperature and salinity on survival,growth and DNA methylation of juvenile Pacific abalone,Haliotis discus hannai Ino

Temperature and salinity are two of the most potent abiotic factors infl uencing marine mollusks.In this study,we investigated the individual and combined ef fects of temperature and salinity on the survival and growth of juvenile Pacifi c abalone,Haliotis discus hannai Ino,and also examined the DNA methylation alteration that may underpin the phenotypic variation of abalone exposed to dif ferent rearing conditions.The single-factor data showed that the suitable ranges of temperature and salinity were 16–28°C at a constant salinity of 32,and 24–40 at a constant temperature of 20°C,respectively.The two-factor data indicated that both survival and growth were signifi cantly af fected by temperature,salinity and their interaction.The optimal temperature-salinity combination for juveniles was 23–25°C and 30–36.To explore environment-induced DNA methylation alteration,the methylation-sensitive amplifi ed polymorphism(MSAP)technique was used to analyze the genomic methylation profi les of abalone reared in optimal and adverse conditions.Neither temperature nor salinity induced evident changes in the global methylation level,but 67 and 63 dif ferentially methylated loci were identifi ed in temperature and salinity treatments,respectively.The between-group eigen analysis also showed that both temperature and salinity could induce epigenetic dif ferentiation in H.discus hannai Ino.The results of our study provide optimal rearing conditions for juvenile H.discus hannai Ino,and represent the fi rst step toward revealing the epigenetic regulatory mechanism of abalone in response to thermal and salt stresses.     

Lithofacies paleogeography mapping and reservoir prediction in tight sandstone strata: A case study from central Sichuan Basin,China

Sand-rich tight sandstone reservoirs are potential areas for oil and gas exploration. However, the high ratio of sandstone thickness to that of the strata in the formation poses many challenges and uncertainties to traditional lithofacies paleogeography mapping. Therefore, the prediction of reservoir sweet spots has remained problematic in the field of petroleum exploration. This study provides new insight into resolving this problem, based on the analyses of depositional characteristics of a typical modern sand-rich formation in a shallow braided river delta of the central Sichuan Basin, China. The varieties of sand-rich strata in the braided river delta environment include primary braided channels, secondary distributary channels and the distribution of sediments is controlled by the successive superposed strata deposited in paleogeomorphic valleys. The primary distributary channels have stronger hydrodynamic forces with higher proportions of coarse sand deposits than the secondary distributary channels. Therefore, lithofacies paleogeography mapping is controlled by the geomorphology, valley locations, and the migration of channels. We reconstructed the paleogeomorphology and valley systems that existed prior to the deposition of the Xujiahe Formation. Following this, rock-electro identification model for coarse skeletal sand bodies was constructed based on coring data. The results suggest that skeletal sand bodies in primary distributary channels occur mainly in the valleys and low-lying areas, whereas secondary distributary channels and fine deposits generally occur in the highland areas. The thickness distribution of skeletal sand bodies and lithofacies paleogeography map indicate a positive correlation in primary distributary channels and reservoir thickness. A significant correlation exists between different sedimentary facies and petrophysical properties. In addition, the degree of reservoir development in different sedimentary facies indicates that the mapping method reliably predicts the distribution of sweet spots. The application and understanding of the mapping method provide a reference for exploring tight sandstone reservoirs on a regional basis.     

Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level

Landslide prediction is always the emphasis of landslide research. Using global positioning system GPS technologies to monitor the superficial displacements of landslide is a very useful and direct method in landslide evolution analysis. In this paper, an EEMD–ELM model [ensemble empirical mode decomposition (EEMD) based extreme learning machine (ELM) ensemble learning paradigm] is proposed to analysis the monitoring data for landslide displacement prediction. The rainfall data and reservoir level fluctuation data are also integrated into the study. The rainfall series, reservoir level fluctuation series and landslide accumulative displacement series are all decomposed into the residual series and a limited number of intrinsic mode functions with different frequencies from high to low using EEMD technique. A novel neural network technique, ELM, is employed to study the interactions of these sub-series at different frequency affecting landslide occurrence. Each sub-series extracted from accumulative displacement of landslide is forecasted respectively by establishing appropriate ELM model. The final prediction result is obtained by summing up the calculated predictive displacement value of each sub. The EEMD–ELM model shows the best accuracy comparing with basic artificial neural network models through forecasting the displacement of Baishuihe landslide in the Three Gorges reservoir area of China.     

汉诺坝大麻坪低εNd中性麻粒岩包体单颗粒锆石U-Pb年代学研究

利用 LA-ICPMS对采集自汉诺坝大麻坪玄武岩中的两个 143Nd/144Nd比值最低[εNd(0)=-26.8～-29.5]的中性麻粒岩包体的单颗粒锆石 U-Pb年代学进行了研究,获得了 2 444 Ma和 2 494 Ma的上交点年龄和 88 Ma的下交点年龄,反映它们是新太古代形成的受到中生代岩浆底侵-热变质作用影响的下地壳麻粒岩.这些包体与周坝玄武岩中～1.9 Ga的长英质麻粒岩包体共同确证了华北克拉通北缘目前的下地壳中仍然残留有前寒武纪下地壳岩石.结合区域构造演化历史和 DMP-70的层状堆晶特征,推断其原岩形成于～2.5 Ga岩浆底侵事件.