盘锦港海底表层沉积物粒度特征及沉积环境分析

以盘锦港荣兴港区海底表层沉积物为主要研究对象,通过对不同位置表层沉积物样品的粒度特征进行对比,探讨该区的沉积环境。利用贝克曼库尔特激光粒度仪对其粒度进行了检测,并计算了粒度参数,结果表明:本区7个沉积物样品以粉砂、砂为主,样品平均粒径值介于3.19~5.46Φ。分选性为较差-很差。样品偏度表现为正态-极正偏。峰度的等级为平坦-尖锐。借助Weibull函数计算出了样品2个组分的众数值和百分含量,粒度像图显示样品的初始水动能普遍较大,只是平均水动能存在差异。说明:沉积区的物源距离较近,物质来源比较稳定,以陆源沉积为主,沉积主要受辽河和大辽河控制;在河流沉积作用为主的大背景下,研究区东北部的沉积环境受潮流的影响比较大,中西部则受剥蚀作用影响较大。     

Enhanced identification of a hydrologic model using streamflow and satellite water storage data: A multicriteria sensitivity analysis and optimization approach

Hydrologic model development and calibration have continued in most cases to focus only on accurately reproducing streamflows. However, complex models, for example, the so‐called physically based models, possess large degrees of freedom that, if not constrained properly, may lead to poor model performance when used for prediction. We argue that constraining a model to represent streamflow, which is an integrated resultant of many factors across the watershed, is necessary but by no means sufficient to develop a high‐fidelity model. To address this problem, we develop a framework to utilize the Gravity Recovery and Climate Experiment's (GRACE) total water storage anomaly data as a supplement to streamflows for model calibration, in a multiobjective setting. The VARS method (Variogram Analysis of Response Surfaces) for global sensitivity analysis is used to understand the model behaviour with respect to streamflow and GRACE data, and the BORG multiobjective optimization method is applied for model calibration. Two subbasins of the Saskatchewan River Basin in Western Canada are used as a case study. Results show that the developed framework is superior to the conventional approach of calibration only to streamflows, even when multiple streamflow‐based error functions are simultaneously minimized. It is shown that a range of (possibly false) system trajectories in state variable space can lead to similar (acceptable) model responses. This observation has significant implications for land‐surface and hydrologic model development and, if not addressed properly, may undermine the credibility of the model in prediction. The framework effectively constrains the model behaviour (by constraining posterior parameter space) and results in more credible representation of hydrology across the watershed.     

后张无粘结预应力混凝土简支板抗火分析

预应力混凝土板因具备自重轻、跨度大等特点,广泛应用于建筑结构和桥梁结构中。但是,当这种结构受到火灾荷载作用时,其承栽能力就会大幅下降。在高温下,混凝土和预应力筋的力学性能都会劣化,进而造成板的大挠度变形甚至破坏。本文对后张无粘结简支预应力板建立了数值分析模型,其中混凝土和预应力筋采用实体单元模拟,受力筋和分布钢筋采用桁架单元模拟。模型中材料的力学特性和热工特性参数取自文献[15]。采用文献中的试验结果验证了该数值模型的可靠性,并进一步研究了混凝土受热膨胀系数、板的不同区域受火和不同的火灾场景等因素对火灾荷载作用下后张无粘结预应力混凝土简支板的挠度以及预应力的影响,得出了初步结论。     

呼和浩特市区污染状况分析

文章利用呼和浩特市2006—2009年环境监测点监测的SO2、NO2和PM10平均浓度资料进行统计分析,得到:(1)呼和浩特市SO2日平均浓度在0.017～0.188mg·m-3之间,超标率为4.0%,NO2在0.026～0.081mg·m-3之间,未超过国家二级标准,PM10在0.036～0.332mg·m-3之间,超标率达到6.5%;(2)污染物浓度最小的月份是7月、8月,最大的月份是1月和12月;(3)近年呼和浩特污染物浓度总体呈下降趋势。     

1948-2005年7月500hPa高度场EOF分析

利用1948—2005年逐年7月份的NCEP/NCAR格点资料,对北半球的亚洲和太平洋区域500hPa高度场进行经验正交函数(EOF)分解,分析了前3个特征向量(模态)的空间分布特征和时间系数的变化,结果表明:7月份的500hPa高度场的分布特征比较复杂,但第一模态有一定的代表性,反映出西太平洋副热带地区高度场与亚洲大陆的反相关关系,而这种关系在20世纪80年代以后出现了反位相的变化。     

我国劳动力市场动态均衡分析与实证研究

运用蛛网模型对劳动力市场进行动态均衡分析，给出劳动力市场均衡的条件及影响因素，利用中国劳动力市场的有关数据对其进行实证，采用时间序列分析方法对中国未来几年的劳动力市场均衡状态进行预测，并提出改善我国劳动力市场均衡状态的思路。     

GRA——FAHP模型的煤层底板突水危险性评价

矿井水害一直是制约我国煤炭安全生产的重要隐患之一,对其进行准确的预测评价具有十分重要的理论意义和实用价值。本文根据煤层底板突水各影响因素之间的关系是灰色关系并且具有非线性特征的特点,建立了定量与定性指标为一体的煤层底板突水评价指标体系及等级划分标准。同时将灰色关联分析法(GRA)和模糊层次分析法(FAHP)相结合。构建了能真实反映影响因素与底板突水之间灰色关系和非线性关系的底板突水危险性评价模型,并应用模型对某典型工作面突水危险性等级进行了评价,可为今后煤层底板突水预测评价的研究提供一定的借鉴和依据。     

1966年以来华北地区一系列七级大震破裂过程的数值模拟

用非连续变形分析方法(DDA+FEM)数值模拟，在华北地区各地块相互制约的块体系统环境中，地块边界断层上发生1966年邢台地震、 1969年渤海地震、 1975年海城地震、 1976年唐山地震等不同类型破裂模式大震的破裂过程. 数值模拟结果给出每个大震释放的主应力场，最大剪应力变化等值线图，地震前后位移变化矢量图，发震断层滑移随时间变化以及走滑错距和应力降等震源参数. 这些结果与地震的震源机制，用地震波资料研究得到的震源参数,宏观等震线,地表观测的水平位移矢量图基本一致. 其中1969年渤海地震正交破裂模式的结果与宏观等震线及小震分布图像更接近. 1976年唐山地震复杂震源模式与该震早期余震分布图像更相符. 表明用DDA+FEM方法进行数值模拟研究，能较好地模拟地震破裂过程.     

QuickBird影像制作1：10000DOM方法探讨

随着卫星遥感影像数据更加广泛地应用于测绘,针对QuickBird影像制作1：10000 DOM的方法,从正射纠正的三种不同方式进行了实验和探讨,分析了利用外业控制点或者在原有DRG、DOM上选取控制点制作DOM的方法、精度、工作量,总结提出了方便、快捷、实用的工作模式。     

A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis

Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.