Feasibility of Re-injecting the Production Effluent from Alkali–Surfactant–Polymer Flooding Systems Back into a Reservoir to Further Improve Oil Recovery

Natural Resources Research - Alkali–surfactant–polymer (ASP)-produced effluent contains polymer, alkali and surfactant, and it has higher content of suspended oil droplets and suspended...     

Supply and Demand Levels for Livestock and Poultry Products in the Chinese Mainland and the Potential Demand for Feed Grains

The widening gap between the supply and demand levels for livestock and poultry products in the Chinese mainland poses a significant challenge to the secure supply of feed grains. Therefore, the accurate prediction of the demand potential for feed grains represents a key scientific issue for ensuring food security in the Chinese mainland. This study is based on an analysis of several factors, such as the Chinese mainland’s output, trade volume, apparent consumption of livestock and poultry products, and two different scenarios for predicting the future demand for feed grains are assessed. The results indicate that output and consumption of livestock and poultry products, as well as the country’s trade deficit and the pressure of the supply and demand balance with respect to these products, have been increasing in recent years. The analysis predicts that the demand for feed grains in the Chinese mainland will reach 425.5 or 389.6 million tons in 2030 based on the two scenarios. This finding indicates that with the increasing demand for livestock and poultry products in the Chinese mainland, the demand for feed grains will continue to increase, and the shortfall in feed grains and raw materials will expand further, especially dependence on external sources of protein-rich feed grains will remain high.     

基于像元二分模型的地表植被覆盖度估算模块化设计与实现

地表植被覆盖度是的一种应用广泛的定量遥感产品,在水文、生态、区域变化等方面都具有重要的意义。像元二分模型是应用最多的一种遥感估算地表覆盖度的方法。目前,用遥感的方法进行地表植被覆盖度估算没有完整、系统的工具,用户只能逐步进行操作,效率低下,鉴于上述情况,本文运用IDL交互式数据语言,基于ENVI二次开发了一个植被覆盖度估算程序,取得了一定的成效,对遥感定量产品的生产、应用具有一定意义。     

ASTER GDEM V2的南极冰川高程误差校正及精度分析

ASTER GDEM V2是研究南极冰盖表面的一种重要DEM数据源。由于南极冰雪区反射率高且缺乏地形特征,导致ASTER GDEM V2存在大量的坑、隆起等噪声,难以直接用于南极地形分析。本文以ICESat/GLAS激光点高程数据作为参考,采用修正等高线法对南极伯德（Byrd）冰川ASTER GDEM V2进行了误差校正,并将其与ICESat-1 DEM的垂直精度进行了对比分析。结果表明：ASTER GDEM V2的RMSE由校正前的26.56 m下降到校正后的18.77 m,远低于ICESat-1 DEM的RMSE（121.24 m）;校正后的ASTER GDEM V2高程精度受坡度影响较小,不存在明显的系统误差,而ICESat-1 DEM的高程精度受坡度的影响较大。本研究进一步通过地形剖面分析得到：校正前的ASTER GDEM V2噪声主要分布于高程较低、地形平坦的区域,通过修正等高线的方法可以有效去除这些噪声,去除噪声后的ASTER GDEM V2可作为研究伯德冰川理想的DEM数据源。     

Mapping 3D visibility in an urban street environment from mobile LiDAR point clouds

ABSTRACT

Visibility determination is a key requirement in a wide range of national and urban applications, such as national security, landscape management, and urban design. Mobile LiDAR point clouds can depict the urban built environment with a high level of details and accuracy. However, few three-dimensional visibility approaches have been developed for the street-level point-cloud data. Accordingly, an approach based on mobile LiDAR point clouds has been developed to map the three-dimensional visibility at the street level. The method consists of five steps: voxelization of point-cloud data, construction of lines-of-sight, construction of sectors of sight, construction of three-dimensional visible space, and calculation of volume index. The proposed approach is able to automatically measure the volume of visible space and openness at any viewpoint along a street. This approach has been applied to three study areas. The results indicated that the proposed approach enables accurate simulation of visible space as well as high-resolution (1 m × 1 m) mapping of the visible volume index. The proposed approach can make a contribution to the improvement of urban planning and design processes that aim at developing more sustainable built environments.     

潮汐调和分析的一种算法

本文在常规潮汐调和分析方法的基础上，提出了一种由高低潮资料进行潮汐分析的算法。具体计算表明，该算法与现今通用的常规算法（即等间隔最小二乘法）相比，既可大大减少所需原始样本量，在相同记录长度内，是常规算法的三分之一还少，同时减少样本处理的前期工作量；又能保证潮位拟合的精度和预报的可信度，两者精度相当，结果一致。该算法原理简单、实用有效，对于局部样本缺损较易处理，具有实际应用价值。     

南沙群岛珊湖礁潟湖垂直沉降颗粒物中主要元素的生物地球化学过程研究

本文首次报道用沉积物捕捉器（ＳＴ）研究南沙群岛珊瑚礁湖沉降颗粒物中主要元素垂直通量、垂直转移形态、再循环过程及垂直通量与表层海水温度的关系。结果显示,作为生物化学沉积标志的Ｃａ、Ｍｇ具有最高的垂直通量,达１．４和０．１ｇ／（ｍ２·ｄ）以上,作为生物富集标志的Ｂｒ、Ⅰ也有较高的垂直转移量;垂直转移形态的研究表明Ｎａ、Ｋ、Ｃａ、Ｍｇ、Ｓｒ主要以碳酸盐结合态向海底转移,其中Ｃａ、Ｍｇ、Ｓｒ占９９％以上,Ｆｅ、Ｉ、Ｂａ主要以铁锰氧化物结合态向海底输送,在垂直沉降颗粒物到达海底后,有相当部分的主要元素可再循环进入水体中,Ｂｒ、Ｉ、Ｋ、Ａｌ的绝大部分进入再循环,Ｍｇ、Ｎａ、Ｃｌ有一半左右进入再循环,Ｃａ、Ｓｒ、Ｂａ、Ｆｅ大部分被埋葬;Ｎａ等９种元素的垂直转移量随ＳＳＴ呈指数降低响应,对ＳＳＴ的敏感性Ｆｅ＞Ｂｒ＞Ｓｒ＞Ｃａ＞Ｎａ＞Ｃｌ＞Ｍｇ＞Ｉ＞Ａｌ,这再一次验证了ＣａＣＯ３随温度升高,其溶解度降低、化学沉积量增加这一自然界的普遍规律,表明在珊瑚礁海水的垂直沉降颗粒物中主要元素是作为珊瑚的重要成分与ＣａＣＯ３一同被沉积下来的,ＣａＣＯ３起到稀释剂的作用。     

Stokes波的谱特性分析

应用理论推导及数值计算方法，对Stokes随机波的谱特性进行了分析。首先将波面方程，海水质点水平速度用一阶波面分量的非线性组合表示，应用平稳随机高阶短的降阶计算法则，得到了波面方程及海水质点水平速度与一阶波面分量的自相关函数之间的关系，从而确定了Stokes随机波浪的波浪谱密度及海水质点水平速度和加速度谱密度，进而求得有关波浪要素的均方根值。文章还应有数值计算方法，分析了波浪基本参数对均方根值的影响。     

斑尾复鰕虎鱼群体的形态学比较

对采自丹东、大连、东营、青岛、赣榆、舟山、厦门7个斑尾复鰕虎鱼群体的可量性状和可数性状进行了主成分分析、聚类分析、判别分析和单因子方差分析.主成分分析和聚类分析结果显示东营和赣榆群体为一组,而其它群体为另一组.2组差异极为显著.主成分分析构建了4个主成分,其贡献率分别为41.30%,8.92%,8.08%和7.31%,累计贡献率为65.60%.第一主成分主要受尾柄长/尾柄高、体高/体长、头长/体长和吻至背鳍起点/体长的影响.判别分析也可将两组群体分开,东营和赣榆组与另一组没有误判,对于样本所属海域的判别,其中东营为100%,最低为青岛群体66.7%,综合判别率为85.5%;选取贡献较大的14个特征值建立判别公式,利用判别公式计算各群体的差别准确率为62.1%～100%.对形态特征参数进行单因子方差分析,计算差异系数,根据Mayr等提出的75%规则,认为两组群体已达到亚种水平,而两组群体内的形态差异为种内不同群体间的差异.