求解制图区域的地图图幅编号的算法研究

基于地理格网理论,从点、线、面三个方面,提出了归原法、斜率分段-同异侧判别法和投影反算-图廓内外判别法,这些算法可准确映射各种投影后制图区域所对应的基础地理信息数据范围,实现了制图范围内地理信息数据所属地图图幅编号的可视化查询。     

多层支撑深基坑变形数值模拟正交试验设计研究

分析了多层支撑深基坑设计中的多个参数,对诸如挡墙和支撑的刚度指标等参数选取进行了分析。对深开挖进行了多因素多水平的有限元数值模拟,在此基础上进行了支撑刚度、位移柔度数、土体变性及强度参数等5因素的4水平正交试验设计,得出了深开挖中的各个参数对多层支撑深开挖变形的影响程度和各个参数的灵敏度。分析结果表明,墙体的位移柔度数是控制基坑开挖变形的主要参数,其他的参数诸如土体的弹性模量等对基坑变形的影响较小。     

SAR图像海岸线检测的区域距离正则化几何主动轮廓模型

合成孔径雷达(SAR)卫星遥感图像可以极大地提高全国海岸线覆盖频率,然而受到海洋波浪所引起的随机海水表面粗糙度的影响,海岸目标与海水背景边界易混淆不清,因此本文提出了基于区域距离正则化几何主动轮廓模型(RDRGAC),引入距离正则项,解决重复初始化水平集函数为符号距离函数的问题,提高了算法收敛速度。此外,将区域面积项系数与SAR图像等效视数(ENL)建立非线性拟合关系,实现RDRGAC模型根据不同SAR遥感图像的自适应调整,改善海岸线自动提取精度。通过河北省北戴河和大连市金州湾SAR数据海岸线提取对比试验,验证了所提方法的有效性。     

河北邯邢铁矿区矿山环境生态地球化学评价

在河北邯邢西石门及周边铁矿区系统地采集了各类生态环境地球化学样品,包括土壤（n=242）、玉米（n=110）、地表水（n=37）、地下水（n=31）和水系沉积物（n=81）。通过对矿区各样品元素含量特征和元素富集程度的研究,利用区域地球化学基准值和地质累积指数定量评价了矿山污染扰动程度。研究表明,矿区土壤、玉米、地表水、地下水、水系沉积物中相对富集较高的与成矿作用有关的元素及主要的伴生元素,部分重金属元素超标,土壤和水系沉积物中Se、As、Cd、Cu、As、Cd、Cu、Co元素超标,玉米中F、Cr、Cd元素接近食品卫生限值,地表水和地下水部分指标浓度接近三类水质限值。研究表明,造成污染的主要来源是铁矿尾矿沙和煤矸石中的硫化物发生氧化作用,导致重金属淋滤转移,另一来源是燃煤降尘的积聚。     

Bond—Valence Sum and Distortion of Coordination Polyhedra

By using the Lagrange‘s intermediate value theorem,it is derived mathematically that the structur-al distortion of a coordination polyhedron may lead to an increase in bond-valence sum of the cen-tral atom of ion .The applicabilities of the bond-valence model are discussed in the following two cases:the modeling of crystal structure ,and the indication of distortion degree of a coordination polyhedron.Also it is shown that a distorted polyhedron should be in favor of a longer average bond length or a smaller coordination number.     

准晶体的构筑原理及微粒分数维结构模型

准晶体的原子构造中两个原理在起作用,即二十面体原理和黄金中值原理。二十面体原理是指大小相近的原子形成孤立的十二次配位体时,二十面体配位形式在能量上最有利。黄金中值原理是指在准晶体中原子的排列符合黄金中值律。这两个原理适用于由少量原子构成的体系,也适用于某些生物的结构。运用这两个原理于准晶体微粒,我们获得了最简单的准晶体结构模型。此模型可以解释Al-Mn准晶体的高分辨图的所有细节。此模型与Hiraga模型以及Bursill和彭菊琳模型都不相同。在此模型中Al_(12)Mn二十面体不是共棱的。这一模型具有分数维结构的待征,因此称之为准晶体的微粒分数维结构模型。     

Industrial and geographical mobility of workers during industry decline: The Swedish and German shipbuilding industries 1970–2000

This article follows the industry employment histories of all individuals who at some point have been affiliated with the declining German or the dismantling Swedish shipbuilding industry during 1970–2000. We analyse the situation of the individual workers leaving shipbuilding, investigating the extent to which they were employed at all, tended to move to related sectors within or outside the region, and whether such moves were beneficial for the individuals. Combining insights from labour geography and redundancy studies with evolutionary economic geography, we find remarkably similar results for the West German and Swedish cases. Our findings indicate a notable impact of the regional industry structure on the labour market outcomes for workers leaving shipbuilding. This suggests that more attention should be devoted to the specific structures of the absorptive capacity of regional labour markets. The findings are discussed within the context of a mature industry.     

Numerical modeling of cyclic mobility based on fuzzy-set concepts in plasticity theory

In this paper, the application of an efficient, transparent and accurate kinematic-cyclic constitutive model based on the fuzzy-set concepts and incremental plasticity theory is presented to show its capability in modeling cyclic mobility of saturated granular soil. The nature and kinematic mechanism of the membership functions in the fuzzy-set constitutive model are illustrated. The model’s capability of modeling soil dilatancy is investigated. Important features of volume change and pore water pressure build-up related to soil cyclic mobility are captured. The formulation of the proposed model is relatively simple and it can be readily implemented in finite element codes. The enhanced fuzzy-set model is capable of simulating ground motion problems particularly related to cyclic mobility, soil liquefaction, and spreading behavior.     

An Exploration of the Interplay between the Measurement Uncertainty and the Number of Samples in Contaminated Land Investigations

In the assessment of potentially contaminated land, the number of samples and the uncertainty of the measurements (including that from sampling) are both important factors in the planning and implementation of an investigation. Both parameters also effect the interpretation of the measurements produced, and the process of making decisions based upon those measurements. However, despite their importance, previously there has been no method for assessing if an investigation is fit‐for‐purpose with respect to both of these parameters. The Whole Site Optimised Contaminated Land Investigation (WSOCLI) method has been developed to address this issue, and to allow the optimisation of an investigation with respect to both the number of samples and the measurement uncertainty, using an economic loss function. This function was developed to calculate an ‘expectation of (financial) loss’, incorporating costs of the investigation itself, subsequent land remediation, and potential consequential costs. To allow the evaluation of the WSOCLI method a computer program ‘OCLISIM’ has been developed to produce sample data from simulated contaminated land investigations. One advantage of such an approach is that as the ‘true’ contaminant concentrations are created by the program, these values are known, which is not the case in a real contaminated land investigation. This enables direct comparisons between functions of the ‘true’ concentrations and functions of the simulated measurements. A second advantage of simulation for this purpose is that the WSOCLI method can be tested on many different patterns and intensities of contamination. The WSOCLI method performed particularly well at high sampling densities producing expectations of financial loss that approximated to the true costs, which were also calculated by the program. WSOCLI was shown to produce notable trends in the relationship between the overall cost (i.e., expectation of loss) and both the number of samples and the measurement uncertainty, which are: (a) low measurement uncertainty was optimal when the decision threshold was between the mean background and the mean hot spot concentrations. (b) When the hot spot mean concentration is equal to or near the decision threshold, then mid‐range measurement uncertainties were optimal. (c) When the decision threshold exceeds the mean of the hot spot, mid‐range measurement uncertainties were optimal. The trends indicate that the uncertainty may continue to rise if the difference between hot spot mean and the decision threshold increases further. (d) In any of the above scenarios, the optimal measurement uncertainty was lower if there is a large geochemical variance (i.e., heterogeneity) within the hot spot. (e) The optimal number of samples for each scenario was indicated by the WSOCLI method, and was between 50 and 100 for the scenarios considered generally; although there was significant noise in the predictions, which needs to be addressed in future work to allow such conclusions to be clearer.     

Parametric studies of disturbed rock slope stability based on finite element limit analysis methods

This study employs the finite element upper bound and lower bound limit analysis methods to investigate the stability of inhomogeneous rock slopes. The differences in the stability numbers of the upper and lower bound solutions are bracketed within ±10.5% or better, and the stability numbers obtained are presented in rock slope stability charts. These stability charts can provide a convenient tool for preliminary stability designs of inhomogeneous rock slopes. Various recommended blasting damage zones are considered, and disturbance factors are used to represent damage levels. Results showed that rock mass disturbance could significantly influence the evaluation of rock slope stability.