Multidimensional statistical technique for detection of low contrast geochemical anomalies

In this article we propose an advanced technique for detecting low contrast geochemical anomalies using a set of features. There are three principal elements in this technique: (1) a statistical measure of the contrast of the anomaly, denoted as τ; (2) selection of a background population; and (3) reduction of the dimensionality of the feature space. In the frame of the model, which describes the statistical distribution of geochemical background as a multidimensional normal distribution of logarithms of concentrations, the index, τ, is a powerful test statistic for the hypothesis of abnormality of an observation. Maps of τ anomalies can be rigorously interpreted on the basis of statistical inferences. Under all equal conditions this technique allows the detection of geochemical anomalies with at least the same contrast (if the chemical elements in a background population are correlated, then even the better) as using selective extractions of metals from soil or other techniques for data processing. The advantages of the proposed technique are demonstrated both theoretically and on examples of rare-metal and copper–nickel mineral deposits.     

Spatio-temporal Analysis of Changes in Winter Wheat Cold Damage with Meteorological Elements in Huang-Huai-Hai Plain from 2011 to 2020

The Huang-Huai-Hai Plain is one of the typical agri-ecosystems in China, which suffers from cold damage frequently resulting in substantial economic losses. In order to monitor the changes in the occurrence of cold damage in an effective and large-scale manner, and to determine their meteorological causes, this paper collected low temperature data from the agricultural meteorological stations and remote sensing data of MODIS from 2005 to 2015, and constructed a monitoring model of cold damage to winter wheat in Huang-Huai-Hai Plain based on the Logistic regression model. This model was used to analyze the spatio-temporal changes of cold damage of winter wheat in Huang-Huai-Hai Plain from 2011 to 2020, and correlation analysis was performed with the spatio-temporal changes of meteorological factors to ascertain how they affect cold damage. The results show that the harm from cold damage in winter wheat has been gradually decreasing from 2011 to 2020, and the cold damage areas with high probability and high frequency are moving from north to south. The meteorological elements with the greatest impacts on the degree of cold damage from stronger to weaker are heat, precipitation and sunshine duration, whose influence has spatial variability.     

沙地彰武松在不同基质上扦插生根性状研究

彰武松在3种基质中插穗生根性状存在显著差异。综合分析生根率、生根性状和根系效果指数等三个因素,发现蛭石基质最好,草炭基质次之,细沙基质较差。草炭基质虽生根率较高,但根系效果指数却没有蛭石好。生根能力较差的细沙基质,生根性状离散度最大。彰武松插穗生根性状的相关分析表明,侧根数、不定根（插穗底部切面不同位置上长出的主根）数、最长不定根长分别与根总长度存在极显著正相关,侧根数、不定根数及最长不定根长相互存在极显著正相关,最长不定根长与最长不定根粗有显著负相关关系。     

中国湿地土壤碳库保护与气候变化问题

中国湿地分布广, 类型丰富, 但存在着垦殖率高、碳密度较低、围垦损失严重等问题。估计我国湿地土壤碳库达8～10 Pg, 占全国陆地土壤总有机碳库的约1/10～1/8, 过去50 a间的损失可能达1.5 Pg。围垦和过度放牧是我国湿地土壤退化和碳库损失的主要驱动因子。目前,湿地土壤碳库保护面临严峻的挑战,从应对气候变化和保护人类生存环境的战略高度切实加强湿地资源保护,可以为增强陆地生态系统碳汇、探寻温室气体减排的潜在途径提供技术支持。     

武汉市科教区冬春季气溶胶的元素组成特征及来源分析

2006-2007年冬春季在武汉市湖北大学校区连续采集气溶胶样品,测定气溶胶元素组成,分析气溶胶样品总悬浮颗粒物（TSP）质量浓度,再结合污染源的特征元素组成来确定污染物的来源构成。结果表明：湖北大学校区大气气溶胶污染程度较轻,气溶胶元素以地壳元素为主,其次是具有代表性的人为污染物元素,再次是盐类元素。通过因子载荷分析和相关性分析显示,湖北大学周边地区的建筑源、交通源和餐饮源是湖北大学校区大气的主要污染源。     

大理近地层山谷盆地湖陆风及湍流特征分析

研究湖陆风特征不仅能够为提高天气气候的预测能力奠定基础,而且对风能资源的开发利用等具有重要的实用意义。利用大理国家气候观象台近地面通量观测系统的2007年3月－2008年5月资料,采用涡动相关法等分析了大理近地层中湖陆风、峡谷风特征及形成原因和影响因素。结果表明：大理地区白天以东风和东南风为主,夜间以西风和西南风为主。进一步对湍流和湍流通量特征分析发现,大理地区白天不稳定层结多于夜间;湍流强度白天强于夜间,并且随着风速的增大而减小;湍流通量具有明显的日变化特征,热量交换形式以潜热为主。     

Relocation of the Yellow River as revealed by sedimentary isotopic and elemental signals in the East China Sea

The Yellow River (YR) supplies a large amount of nutrients and fresh water to the northern Chinese marginal seas, and greatly influences the ecosystem and current patterns. The relocation of the YR outlet from the southern Yellow Sea (YS) to the Bohai Sea in 1855 was demonstrated using northern East China Sea (ECS) sediment characteristics. Both isotopic (δ¹³C, δ¹⁵N) signals and C/N ratios in the organic matter (OM) indicate that prior to 1750, the predominant source of OM to the sediments was terrestrial. The terrestrial influences continuously weakened until 1855, when the YR estuary moved; after 1855, the OM was characterized by oceanic sources. Major elements (Al, Ti, Fe, Mn) and trace elements (Ni, Cr, Cu, Pb) had a much closer association with Malan loess prior to 1855, as >90% of the YR sediment was loess-derived. These results reveal that the relocation of the YR induced significant changes in the current patterns of the northern China Seas in the last 250 years; however, more studies are needed to further examine these linkages.     

Identification and quantification of mixed sources of oil spills based on distributions and isotope profiles of long-chain n-alkanes

Combined with quantitative determination of concentration and isotopic composition of petroleum hydrocarbons, weathering simulation experiments on artificially mixed oils and their two end-member oils are performed for identification and quantification of mixed sources. The >C₁₈n-alkanes show no appreciable losses during a short-term weathering process. An approach based on distribution of long-chain n-alkanes (>C₁₈) is suggested for estimating the contribution proportion of each source in mixed oils. Stable carbon isotope profile of individual n-alkanes is a powerful tool to differentiate sources of oil spills, but unavailable to accurately allocate each contribution due to a relatively large analytical error.     

龙滩水库地震精定位及活动特征研究

本文利用结合了波形互相关技术的双差定位法对龙滩库区2006年至2007年发生的地震进行了精确定位,并对其活动特征进行了分析.通过定位结果的比较,证明利用波形互相关技术提取的地震对的P、S波走时差数据及双差精定位法显著地提高了定位的精度和质量.对龙滩库区地震活动特征的研究结果表明,龙滩库区的地震活动与水库蓄水过程密切相关,成丛分布的地震活动分别表现出对水库蓄水过程不同的响应过程和活动特征,反应了龙滩库区在岩性特征、渗透条件、地质构造及应力场等方面存在局部性差异.