威德尔海的重磁场特征及其构造意义

威德尔海是南极洲最大的边缘海。通过搜集威德尔海的重磁资料、历史文献以及总结前人的相关研究成果,介绍了威德尔海的重磁场基本特征以及指示的构造意义。威德尔海最显著的重力特征是在威德尔海的中北部分布着以鲱骨式结构展布的一系列NW-SE向重力异常,其上可见一系列弧形、上凹的以E-W为主要方向的磁力异常。沿南极半岛陆架边缘的重力高一直可延伸到南侧海域,高值区与陆架平行,但是在磁异常上反映不明显。威德尔海原始海盆的形成约在150 Ma,并伴随南北向张裂,随后在140 Ma发生东西向扩张,到约120 Ma异常形成现代南极洲、非洲和南美洲板块的分布格局,鲱骨式结构异常脊也形成于该时期。     

http://www.sciencedirect.com/science/article/pii/S1674987114000668

Microbial diversity in the hydrate-containing (sites SH3B and SH7B) and-free (sites SH1B, SH5B, SH5C) sediments collected from the Shenhu area of the South China Sea (SCS) was investigated using 16S rR...     

利用RTK测量建筑物墙角点方法的研究

在地形测量、地籍测量、工程测量中,RTK已经被广泛使用,但是测量建筑物(构筑物)墙角点时却非常困难。利用自制RTK辅助装置来测量建筑物(构筑物)墙角点,通过实验进行精度分析,并结合吉林省扶余市地籍调查项目进行应用检验,文中方法达到了地籍测量的精度要求,具有一定应用价值。     

陂塘景观研究进展与评述

快速城市化背景下,陂塘等小型半自然、人工水体正在大量消失。在综述国内外研究基础上,阐述了陂塘的相关定义、陂塘景观特征及其测度,指出陂塘景观是人们在农耕过程、土地开发过程中充分利用本地的水土资源,应对外部水环境的变化所形成的"水适应性景观"。陂塘景观具有雨洪滞蓄、旱涝调节、水质净化及生物多样性保护等重要的生态功能。在不同发展阶段下,陂塘景观应对的问题不同,景观特征有所差异,演变的总体趋势是从农业时代的水利乡土景观到工业化和城市化带来的破坏,再走向生态自觉下的多功能生态景观;变化趋势也说明了陂塘景观在上述多种生态功能方面的重要潜力。陂塘景观的保护与利用应当建立在对陂塘景观的综合评价的基础之上。最后,对将来可能的研究方向如陂塘景观的特征与功能、历史文化与社会价值、综合评价与应用研究等进行了展望。     

罗霄山区旅游扶贫效应的居民感知与态度研究——以湖南汝城国家森林公园九龙江地区为例

旅游扶贫应立足于贫困人口的获利和发展,其核心是使贫困人口从旅游开发中获得更多的发展机会和净利益。以居民感知理论为基础,对汝城国家森林公园九龙江地区居民进行问卷调查,采用因子分析法和数理统计法,分析当地居民对旅游扶贫效应的感知和态度。研究结果表明:当地居民对旅游扶贫的社会和经济效应感知明显,对环境效应不敏感,参与旅游业的意愿强,但受经济、文化等因素制约,实际参与能力不足。建议当地政府将旅游业培育成特色产业,以居民受益为出发点,对居民进行扶持与引导,鼓励居民参与旅游开发与决策,并注重资源开发与保护相结合,以期实现贫困人口脱贫和旅游发展的双赢。     

Machine Learning-based Weather Support for the 2022 Winter Olympics

正1.A key support for the 2022 Winter Olympics The XXIV Olympic Winter Games are scheduled to take place from 4 to 22 February 2022, followed by the Paralympic Games from 4 to 13 March, in Beijing and towns in the neighboring Hebei Province, China. Weather plays an extremely important role in the outcome of the games (Chen et al., 2018). It can not only cause a difference between a medal or not, but affect the safety of athletes. Success of the Winter Olympics will greatly depend on weather conditions at the outdoor competition venues, dealing with many weather elements including the snow surface temperature, apparent tem-     

Projection and possible causes of summer precipitation in eastern China using self-organizing map

Self-organizing map (SOM) is used to simulate summer daily precipitation over the Yangtze–Huaihe river basin in Eastern China, including future projections. SOM shows good behaviors in terms of probability distribution of daily rainfall and spatial distribution of rainfall indices, as well as consistency of multi-model simulations. Under RCP4.5 Scenario, daily rainfall at most sites (63%) is projected to shift towards larger values. For the early 21st century (2016–2035), precipitation in the central basin increases, yet decreases occur over the middle reaches of the Yangtze River as well as a part of its southeast area. For the late 21st century (2081–2100), the mean precipitation and extreme indices experience an overall increase except for a few southeast stations. The total precipitation in the lower reaches of the Yangtze River and in its south area is projected to increase from 7% at 1.5 °C global warming to 11% at 2 °C, while the intensity enhancement is more significant in southern and western sites of the domain. A clustering allows to regroup all SOM nodes into four distinct regimes. Such regional synoptic regimes show remarkable stability for future climate. The overall intensification of precipitation in future climate is linked to the occurrence-frequency rise of a wet regime which brings longitudinally closer the South Asia High (eastward extended) and the Western Pacific Subtropical High (westward extended), as well as the reduction of a dry pattern which makes the two atmospheric centers of action move away from each other.     

Preliminary Studies on Predicting the Tropical Indian Ocean Sea Surface Temperature through Combined Statistical Methods and Dynamic ENSO Prediction

The sea surface temperature(SST) in the Indian Ocean affects the regional climate over the Asian continent mostly through a modulation of the monsoon system.It is still difficult to provide an a priori indication of the seasonal variability over the Indian Ocean.It is widely recognized that the warm and cold events of SST over the tropical Indian Ocean are strongly linked to those of the equatorial eastern Pacific.In this study,a statistical prediction model has been developed to predict the monthly SST over the tropical Indian Ocean.This model is a linear regression model based on the lag relationship between the SST over the tropical Indian Ocean and the Ni o3.4(5°S-5°N,170°W-120°W) SST Index.The predictor(i.e.,Ni o3.4 SST Index) has been operationally predicted by a large size ensemble El Ni o and the Southern Oscillation(ENSO) forecast system with coupled data assimilation(Leefs_CDA),which achieves a high predictive skill of up to a 24-month lead time for the equatorial eastern Pacific SST.As a result,the prediction skill of the present statistical model over the tropical Indian Ocean is better than that of persistence prediction for January 1982 through December 2009.     

Diagnostics of subseasonal prediction biases of the Asian summer monsoon by the NCEP climate forecast system

Biases of subseasonal prediction of the Asian summer monsoon are diagnosed using daily data from the hindcasts of 45-day integrations by the National Centers for Environmental Prediction Climate Forecast System version 2. The retrospective forecasts often show apparent systematic biases, which are mostly represented by the underestimation of the whole Asian monsoon. Biases depend not only on lead time, but also on the stage of monsoon evolution. An abrupt turning point of bias development appears around late June and early July, when ensemble spread and bias growth of winds and precipitation show a significant change over the northwestern Pacific (NWP) and the South Asian summer monsoon (SASM) region. The abrupt turning of bias development of winds, precipitation, and surface temperature is also captured by the first two modes of multivariate empirical orthogonal function analysis. Several features appear associated with the abrupt change in bias development: the western Pacific subtropical high (WPSH) begins its first northward jump and the surface temperature over the Tibetan Plateau commences a transition from warm bias to cold bias, and a reversal of surface temperature biases occurs in the eastern tropical Indian Ocean and the SASM region. The shift of WPSH position and the transition of surface thermal bias show close relationships with the formation of bias centers in winds and precipitation. The rapid growth in bias due to the strong internal atmospheric variability during short leads seems to mainly account for the weak WPSH and SASM in the model. However, at certain stages, particularly for longer-lead predictions, the biases of slowly varying components may also play an important role in bias development of winds and precipitation.