锰三角地区电解锰压滤渣高温可控脱硫生产活性微粉项目经济效益与社会效益分析

电解锰压滤渣是工业生产金属锰过程中采用湿法酸浸电解工艺产生的一种工业废渣。这种传统的废渣处理处置方式,极易造成严重的环境污染和地质灾害的发生。本次研究将电解锰压滤渣通过焙烧生产活性微粉、产生的脱硫烟气制硫酸,是一种能有效解决电解锰压滤渣处理处置和综合利用的方法。本文对"锰三角"地区拟建20万吨电解锰压滤渣焙烧生产活性微粉、脱硫烟气制硫酸生产示范线项目,进行了区域市场调研,对项目的经济效益与社会效益进行分析。该项目年均可实现销售收入4162.7万元,为当地循环经济和锰产业可持续发展探索了一条新的出路。     

Reliability analysis for bearing capacity of surface strip footing using fuzzy finite element method

ABSTRACT

This paper presents the reliability analysis on the basis of the foundation failure against bearing capacity using the concept of fuzzy set theory. A surface strip footing is considered for the analysis and the bearing capacity is estimated using the conventional Finite Element Method (FEM). The spatial variability of the variables is taken into consideration to capture the physical randomness of the soil parameters for an isotropic field. A variation of the probability of failure (P_f) against a varying limiting applied pressure (q) is presented for different Coefficient of Variation (COV) of the variables and different scale of fluctuation (θ). The results reveal that the friction angle of soil (?) is the most influencing parameter among the other variables. Further, the influence of the scale of fluctuation (θ) on the probability of failure (P_f) is also examined. It is observed that for a particular COV of ?, higher value of θ predicts higher P_f whereas, P_f increases as COV of ? increases for a particular θ value. Later, a comparison study is accomplished to verify the viability of the present method and it can be noticed that the present method compares well with the other reliability method (First Order Reliability Method) to a reasonably good extent.     

Competition among destinations in spatial interaction models: a new point of view

Ｉ．ＩＮＴＲＯＤＵＣＴＩＯＮＡｃｏｍｍｏｎｖｉｅｗｐｏｉｎｔｉｎｔｈｅｓｐａｔｉａｌｉｎｔｅｒａｃｔｉｏｎｌｉｔｅｒａｔｕｒｅｉｓｔｈａｔｉｔｉｓｎｅｃｅｓａｒｙｔｏａｃｋｎｏｗｌｅｄｇｅｓｐａｔｉａｌｓｔｒｕｃｔｕｒｅｅｆｅｃｔｓａｎｄ／ｏｒｄｅ...     

基于Voronoi图的空间邻近定义与查询

首先在点Voronoi图的基础上,引进了空间目标的Voronoi图的定义,进而论述了空间目标Voronoi图在GIS中定义空间邻近及其邻近查询中的作用。最后给出了部分实验结果。     

三维空间实体间拓扑关系的矩阵描述

三维空间实体及其间拓扑关系的语义描述和形式化表达是三维ＧＩＳ空间数据建模的重要理论基础。在ｋ－维流形的三维空间实体形式化描述方法的基础上,根据三维空间实体的可剖分性,采用顾及维数的九元组描述框架,研究用于构成三维实体的ｋ－单纯形（０≤ｋ≤３）之间的拓扑空间关系,继而研究三维实体间的拓扑空间关系。     

旅游业的发展对丽江古城社会文化的影响

旅游业的发展对旅游目的地的社会文化产生的影响是巨大的.丽江古城也遭受着同样的命运,这种影响集中表现在丽江古城功能的转变、社会网络的变迁和文化的涵化.这些影响都是由于旅游业的迅速发展引起的,而且还在加深.只有认识到以上的影响才能为下一步采取措施来控制这些影响提供前提保障.     

土壤水全时空调控的初步探讨

农业是第一用水大户,有利利用土壤是实现黑龙港地区农业可持续发展的关键,本文分析了黑龙港地区主要作物需水与降水的关系,建立了作物生长条件包气带流动系统的概念,并以此为基础提出了土壤水全时空调控的概念,探讨了土壤水全时空调控的涵义与措施,指出土壤水调控是一系统工程,必须多种措施有机结合,简单介绍了王瞳试验场开展的田间土壤水调控试验成果。     

城市空间结构演变的空间过程和动力因子分析

城市空间结构是城市地理学、城市规划学的核心研究内容之一。城市空间结构的演变作为一个十分复杂的社会现象，一直受到各方面学者的关注。通过着重分析城市空间结构演变的主要空间过程：空间竞争、空间演替、空间扩散、空间均衡等，并对这些空间经济过程做出横向分析，讨论城市空间结构与城市经济运行之间的内在联系。分析城市空间结构演变的主要动力因子：包括完善的服务和基础设施、土地集约利用、城市产业的人口需求等集聚因子和环境承载力、级差地租、现代技术的发展等离散因子，从而论证集聚力和离心力的交互作用对城市空间结构演变产生深刻影响。     

Spatial Breakdown Point of Variogram Estimators

In the context of robust statistics, the breakdown point of an estimator is an important feature of reliability. It measures the highest fraction of contamination in the data that an estimator can support before being destroyed. In geostatistics, variogram estimators are based on measurements taken at various spatial locations. The classical notion of breakdown point needs to be extended to a spatial one, depending on the construction of most unfavorable configurations of perturbation. Explicit upper and lower bounds are available for the spatial breakdown point in the regular unidimensional case. The difficulties arising in the multidimensional case are presented on an easy example in IR² , as well as some simulations on irregular grids. In order to study the global effects of perturbations on variogram estimators, further simulations are carried out on data located on a regular or irregular bidimensional grid. Results show that if variogram estimation is performed with a 50% classical breakdown point scale estimator, the number of initial data likely to be contaminated before destruction of the estimator is roughly 30% on average. Theoretical results confirm the previous statement on data in IR^d , d 1.