南海ODP1144孔微玻璃陨石物理化学性质及母源物质的复杂性

ODP 184航次 114 4孔位于南海北部陆缘 (2 0°3.18′N ,117°2 5 .14′E ,水深 2 0 37m) ,在岩心样品中发现的微玻璃陨石主要赋存于 386 .17～ 386 .2 7mcd处 ,这些玻璃陨石主要以球形和椭球形为主 ,可见泪滴状、马鞍形、扁豆形、圆盘形、哑铃形、翼形、异形等形态和不规则状碎片。通过微玻璃陨石主量元素电子探针分析 ,并用Harker图解讨论了主量元素氧化物之间的相关性 ,同时结合Niggli参数进一步深入探讨微玻璃陨石的母源物质特征。研究结果表明 ,ODP114 4孔微玻璃陨石属于澳亚散落区内的普通型微玻璃陨石 ,其母源物质成分复杂 ,可能有两种或两种以上的物质组成 ,一种可能是化学成分没有太大变化的碎屑沉积岩 ,另一种可能是粘土及杂砂岩等。     

四川省蔬菜基地的气候优势及其开发利用

利用四川省10年气候资料与蔬菜生产资料，经过多年的实地考察研究及统计分析，找出四川省蔬菜基地群分布随海拔高度变化的规律、产供销特点，并提出了发展四川省蔬菜产业的对策。     

农地流转背景下地块规模对农户种粮投入影响分析

近年来粮食安全受到国家和社会的广泛关注,农地投入作为粮食生产的重要要素,是保障粮食稳定产出的前提。学者就农地规模对农户种粮投入的影响已进行了较多研究,但受农地流转的影响,土地要素更具多样化,土地规模与农户种粮投入的关系发生变化。随着农地流转在我国的快速发展,探析农地流转影响下土地规模对农户种粮投入影响的变化成为一个亟待研究的问题,对保障国家粮食安全具有重要意义。考虑到地块的异质性,本文基于山东、河南、安徽三个粮食主产省622户农户1 284个地块的粮食生产数据从村庄和农户两个层次控制了生产要素市场价格、地块要素等非主观因素,进行多层模型回归分析。结果表明,农地流转特征及地块特征对农户粮食生产单位面积投入有显著影响。地块规模和转入地占比对农地投入影响为负,转入地占比越大,地权稳定性越低,农户投入积极性受到挫伤越明显,在转入地上的投入减少。随着转入土地面积的增加,农户从事粮食生产的机会成本增大,使其有更强的动力增加种粮投入,地块规模的负向影响程度降低。基于分析结果,本文得出以下3点结论:(1)规模化经营有利于降低单位面积种粮成本;(2)农地流转发生时,地块规模对种粮投入的影响发生改变,成片规模化经营将成为我国粮食生产的必然趋势;(3)提高土地综合条件可以降低投入成本,并提高农户投入积极性。要保障国家粮食安全,需从降低种粮成本、提高农户收益着手,建议鼓励农村土地流转,推动粮食规模化生产,同时也要注重增加财政拨款,建设高标准粮田,强化高标准粮田的农业基础设施建设,完善田间配套工程。     

广州番禺区不同地类的非点源污染排放特征

在广州番禺区建设代表城市、农田、村镇、园地4类典型集水区的径流试验小区,对每个径流小区采集3场有效降雨径流以研究不同土地利用类型的非点源污染负荷输出特征。结果表明,不同土地利用类型的污染物输出浓度差别较大,TSS和COD输出浓度(EMC值)的大小排列顺序为园地>农田>村镇>城市;NH3--N为农田>城市>园地>村镇;NO3--N为城市>农田>村镇>园地;TN为农田>城市>园地>村镇;TP为农田>园地>城市>村镇。对于农田集水区,TSS和COD的输出明显受降雨的影响,而N、P污染物的输出受施肥的影响更为显著;对于城市集水区,晴天累积污染物的数量和降雨情况是决定初期径流中污染负荷的主要因素。污染负荷与径流量之间相关性显著,且颗粒物是携带污染物的重要载体。各径流小区的初始冲刷效应分析结果显示,不透水地面更易发生降雨初期冲刷;降雨强度是影响降雨径流初始冲刷的关键因素。     

基于裂区设计的大气能见度拟合及预测模型

通过收集分析广州能见度及影响因子数据的特征,使用R-project统计软件作为建模工具,采用多层裂区实验构建模型基本框架,选择影响显著的因子进行变量变形处理,对年、月、日、小时的数据特征进行层层分割设计,并在对应层次引入代表时间含义的虚拟变量以提高模型的表征水平,加入二次项、交叉项等提高模型的精度,得到拟合度高、适用性强的能见度拟合及预测模型。     

Bayesian analysis under ordered functions of parameters

Ordered parameter problems arise in a wide variety of real world situations and are dealt with extensively in the literature. Traditional frequentist methods for dealing with these problems are rather complicated theoretically, especially when sample sizes are small. Bayesian methods are not widely used because high dimensional numerical integration is often required. However, Markov chain Monte Carlo methods provide alternatives to such numerical integration and also deal with ordered parameter problems in a straightforward manner. Little is known about the situation where functions of parameters are ordered. Such problems may seem to be of little practical concern initially, but one can readily see their importance in situations where ordering is placed on the means and variances of several normal or Gamma populations. For the Gamma distribution we will present real examples where we will analyze monthly precipitation data from San Francisco, California and Oakland Mills, Iowa. For the San Francisco data we will simultaneously order both monthly precipitation means and variances. For the Iowa data we will place ordering on seasonal average while still estimating monthly means. Our results show that we would obtain sharper, more accurate inference when order restrictions are employed.     

Comparison of distribution function estimators for forestry applications following variable probability sampling

Practical considerations often motivate employing variable probability sampling designs when estimating characteristics of forest populations. Three distribution function estimators, the Horvitz-Thompson estimator, a difference estimator, and a ratio estimator, are compared following variable probability sampling in which the inclusion probabilities are proportional to an auxiliary variable, X. Relative performance of the estimators is affected by several factors, including the distribution of the inclusion probabilities, the correlation () between X and the response Y, and the position along the distribution function being estimated. Both the ratio and difference estimators are superior to the Horvitz-Thompson estimator. The difference estimator gains better precision than the ratio estimator toward the upper portion of the distribution function, but the ratio estimator is superior toward the lower end of the distribution function. The point along the distribution function at which the difference estimator becomes more precise than the ratio estimator depends on the sampling design, as well as the coefficient of variation of X and . A simple confidence interval procedure provides close to nominal coverage for intervals constructed from both the difference and ratio estimators, with the exception that coverage may be poor for the lower tail of the distribution function when using the ratio estimator.     

沁河冲洪积扇地下水水化学特征及成因分析

为研究河南省济源市沁河冲洪积扇地下水水化学特征及其成因,2016年10月采集水样共计60组,其中地下水水样51组,地表水水样9组.运用数理统计、舒卡列夫分类、Piper三线图、Schoeller图、Gibbs图和离子比值等方法,分析了研究区内地下水和地表水水化学类型分布特征,讨论了地下水和表水水化学演化过程的主要控制因素.结果表明:(1)研究区地表水和地下水中主要阴阳离子为Ca~(2+)、Mg~(2+)、SO_4~(2-)、HCO_3~-,地表水和地下水的补给来源密切相关;(2)地下水水化学类型以HCO_3-Ca型、HCO_3-Ca·Mg型和HCO_3·SO_4-Ca·Mg型为主;地表水水化学类型以HCO_3·SO_4-Ca·Mg型为主;(3)地下水和地表水主要离子的形成主要受碳酸盐矿物风化溶解作用、离子交换作用和蒸发作用共同影响,硫酸、碳酸参与了碳酸盐矿物的风化溶解过程.     

Probability distributions of arsenic in soil from brownfield sites in Beijing (China): statistical characterization of the background populations and implications for site assessment studies

A probabilistic analysis was performed on soil arsenic concentration data from 4 brownfield sites at Beijing (Chaoyang and Haidian Districts), involved in environmental assessment studies. The available data sets were processed to provide a statistical characterization of the background populations and differentiate “anomalous data” from the natural range of variation of arsenic concentrations in soil. The site-specific background distributions and the existing wide-scale background values defined for the Beijing area were compared, discussing related implications for the definition of metal contamination soil screening levels (SSLs) in site assessment studies. The statistical analysis of As data sets discriminated site-specific background populations, encompassing 88% to 94% of the sample data, from outliers values, associated with either subsoil natural enrichments or possible anthropogenic releases. Upper Baseline Concentration (UBC) limits (+ 2σ level), including most of the site-specific metal background variability, were derived based on the statistical characterization of the background populations. Sites in the Chaoyang South District area had UBC values in the range 10.4–12.6 mg·kg^-1. These ranges provide meaningful SSL values to be adopted for As in local site assessment studies. Using the wide-scale background value for the Beijing area would have erroneously classified most of the areas in the subject sites as potentially contaminated.     

Recovery of seven kinds of cfc and cfc replacements on high‐surface area activated carbon

The adsorption isotherms, the constants of the Dubinin—Radushkevich plots, and the constants of the Langmuir plots of chlorofluorocarbon (CFC) and CFC replacements on high‐surface area activated carbon were investigated to estimate the recovery efficiency of CFC and CFC replacements. The adsorption and desorption of HFC134a on a high‐surface area activated carbon was much easier than that of CFC 113 and the CFC replacements. The recovery efficiency of CFC replacements depends on the hydrogen atoms in molecule. It is possible that the saturated amount adsorbed in the pores or on the surface of the activated carbon could be evaluated by the W_s constant of the the Langmuir equation and the W_o constant of the Dubinin‐Radushkevich equation. The a constant of the Langmuir equation and the BE_o constant of the Dubinin‐Radushkevich equation depend on the molecular composition.