Accurate analytical nutation series

In this letter we present the first accurate analytical nutation series, deduced from the Hamiltonian theory by the authors. They provide the highest accuracy ever obtained by any analytical nutation series, since the deviation in CEP (celestial ephemeris pole) offsets with respect to that of the IERS Conventions 1996 is kept below 1 mas in the time domain, in spite of still lacking ocanic corrections.     

Down to Earth: Contextualizing the Anthropocene

The ‘Anthropocene’ is now being used as a conceptual frame by different communities and in a variety of contexts to understand the evolving human–environment relationship. However, as we argue in this paper, the notion of an Anthropos, or ‘humanity’, as global, unified ‘geological force’ threatens to mask the diversity and differences in the actual conditions and impacts of humankind, and does not do justice to the diversity of local and regional contexts. For this reason, we interpret in this article the notion of an Anthropocene in a more context-dependent, localized and social understanding. We do this through illustrating examples from four issue domains, selected for their variation in terms of spatial and temporal scale, systems of governance and functional interdependencies: nitrogen cycle distortion (in particular as it relates to food security); ocean acidification; urbanization; and wildfires. Based on this analysis, we systematically address the consequences of the lens of the Anthropocene for the governance of social-ecological systems, focusing on the multi-level, functional and sectoral organization of governance, and possible redefinitions of governance systems and policy domains. We conclude that the notion of the Anthropocene, once seen in light of social inequalities and regional differences, allows for novel analysis of issue-based problems in the context of a global understanding, in both academic and political terms. This makes it a useful concept to help leverage and (re-)focus our efforts in a more innovative and effective way to transition towards sustainability.     

Country-specific dietary shifts to mitigate climate and water crises

Undernutrition, obesity, climate change, and freshwater depletion share food and agricultural systems as an underlying driver. Efforts to more closely align dietary patterns with sustainability and health goals could be better informed with data covering the spectrum of countries characterized by over- and undernutrition. Here, we model the greenhouse gas (GHG) and water footprints of nine increasingly plant-forward diets, aligned with criteria for a healthy diet, specific to 140 countries. Results varied widely by country due to differences in: nutritional adjustments, baseline consumption patterns from which modeled diets were derived, import patterns, and the GHG- and water-intensities of foods by country of origin. Relative to exclusively plant-based (vegan) diets, diets comprised of plant foods with modest amounts of low-food chain animals (i.e., forage fish, bivalve mollusks, insects) had comparably small GHG and water footprints. In 95 percent of countries, diets that only included animal products for one meal per day were less GHG-intensive than lacto-ovo vegetarian diets (in which terrestrial and aquatic meats were eliminated entirely) in part due to the GHG-intensity of dairy foods. The relatively optimal choices among modeled diets otherwise varied across countries, in part due to contributions from deforestation (e.g., for feed production and grazing lands) and highly freshwater-intensive forms of aquaculture. Globally, modest plant-forward shifts (e.g., to low red meat diets) were offset by modeled increases in protein and caloric intake among undernourished populations, resulting in net increases in GHG and water footprints. These and other findings highlight the importance of trade, culture, and nutrition in diet footprint analyses. The country-specific results presented here could provide nutritionally-viable pathways for high-meat consuming countries as well as transitioning countries that might otherwise adopt the Western dietary pattern.     

层序地层学研究进展:国际层序地层学研讨会综述

结合"国际层序地层学研讨会"的相关内容,阐述了层序地层学理论和技术方法研究的进展;内容包括碎屑岩层序地层学(涉及海相、湖相、河流相等)、碳酸盐岩层序地层学、煤和其他沉积物层序地层学、层序地层标准化等领域的重要研究成果及其在常规油气与非常规油气勘探中的应用。最后指出了层序地层学未来的发展趋势,主要为研究方法标准化及应用地区特殊化,尤其要加强深水层序、碳酸盐岩层序、层序模拟等方面的研究。     

The Geochemical Significance of Deep-water Coral and Their Food Source

Deep-sea corals live in the dark cold-water environments, the food of which that provides them with energy and nutrition is a key ecological and biogeochemical problem. Currently, the most common understanding is that their food mainly comes from organic matter produced by and deposited from surface seawater. However, more and more studies have found that they can also obtain food supply through symbiosis with a variety of chemosynthetic autotrophs and heterotrophs. Carbon and nitrogen isotopes have been used to trace and reveal the food sources of deep-sea corals. They also have been successfully used to reconstruct the phytoplankton community structure and the changes of nitrate isotopes in surface seawater in the past, thus providing valuable biogeochemical data for paleoceanographic study. However, due to the widespread existence of symbiosis with chemosynthetic autotrophs, further studies are needed to assess the reliability of organic carbon and nitrogen isotopes of deep-sea corals to reflect changes in the surface seawater. The deep-sea gorgonian coral, like those gorgonian forests recently found in the South China Sea, is relatively new and insufficiently studied in the field of deep-sea corals. Thus, basic biochemical and paleoceanographic researches on the South China Sea deep-water gorgonians will provide profound and novel insights to understanding the cold-water coral system.     

海平面及海平面变化综述

分析总结了海平面及海平面变化的有关问题,如相关概念及其关系的理解,海平面变化旋回等时性及可对比性,海平面升降曲线的表示方法、内容及绘制技术与原理,其升降幅度的定量化计算和模拟,海平面变化成因的旋回级别、动态分异及成因标识,海平面变化对沉积盆地的影响等等。提出部分建议,包括理清海平面与海平面变化,海平面升降与振荡、波动,全球与相对、高频、复合海平面,ＴＲ旋回与海平面变化等概念;限定其概念的外延、内涵及其之间的关系,以及三、四级海平面变化旋回用于同一大陆或泛大陆的对比性;分清各种表示方法、技术的使用范围,相对水深曲线转换为海平面升降曲线过程中成岩作用、构造沉降、沉积（生产）速率的影响校正及定量模拟;在海平面变化旋回级次格架下结合两种思路进行成因分析;推荐相对海平面升降成因分析按曲线对比法→构造沉降→回剥法思路进行;建议加强海平面升降变化对盆地充填响应的研究;重视对沉积矿床的控制和大陆边缘地壳变形的反弹作用过程及定量模拟。     

Potential food deserts and food oases in a post-communist city: Access,quality, variability and price of food in Bratislava-Petržalka

Delimitation tools and definitions of food deserts have not been internationally unified so far. Such comprehension ambiguity may lead to variability in research methods as well as to terminology mismatch in the research. In general, assessment of accessibility of selected (large-scale) food stores network in a region is considered as a suitable tool to identify the food deserts, but this is certainly not the only approach. In our paper some other approaches (such as measuring quality, variability and food price) are assessed together with supermarkets and hypermarkets accessibility examination. Results gained by analyses based on various methodological approaches are then compared and confronted, which simultaneously allows us to compare the individual approaches. For our case study purposes, the largest housing estate in Slovakia's capital city was selected.     

利用奇异谱分析提高极移中长期预报精度

由于空间大地观测数据传输耗时及处理过程复杂, 导致极移测量值的获取存在时延, 无法满足对高精度的极移预报值有重大需求的应用领域. 针对极移复杂的时变特性, 提出一种基于奇异谱分析(singular spectrum analysis, SSA)的预报方法. 首先用SSA分离提取极移时序中的高频组分与低频组分; 其次建立最小二乘(least square, LS)外推与自回归(AutoreGressive, AR)模型对极移高频和低频组分进行组合预报. 结果表明, SSA方法能够准确地分离和提取极移低频和高频组分, 对低频和高频组分组合预报可以显著改善极移的中长期(30--365d)预报精度, 与国际地球自转和参考系服务局(International Earth Rotation and Reference Systems Service, IERS)提供的A公报中的极移预报值相比, SSA方法对极移PMX分量(本初子午线方向)和PMY分量(西90$^\circ$子午线方向)的中长期预报精度改进最高分别可达45.97%和62.44%. 研究结果验证了SSA方法对极移中长期预报改进的有效性.     

基于情境感知和序列模式挖掘的气象学习资源推荐算法

随着互联网的快速发展,气象部门职工作为学习者可以获得的学习资源得到极大丰富。信息超载导致检索合适的在线学习资源时遇到了困难;学习者在不同学习环境和序列访问模式上也有不同的学习需求。但是,现有的推荐系统,如基于内容的推荐和协同过滤,没有结合学习者的情境和序列访问模式,推荐结果准确度不高。本文提出了一种结合情境感知、序列模式挖掘和协同过滤算法的混合推荐算法来为学习者推荐学习资源。混合推荐算法中,情境感知被用来整合学习者的情境信息,如知识水平和学习目标;序列模式挖掘被用来对网络日志进行挖掘,发现学习者的序列访问模式;协同过滤被用来根据学习者的情境数据和序列访问模式为目标学习者计算预测并生成建议。实验和应用效果表明,该混合推荐算法推荐的质量和准确性方面优于其他推荐算法。