Theorizing and Researching Intersectionality: A Challenge for Feminist Geography*

This article focuses on the concept of intersectionality, which is being used within the wider social sciences by feminists to theorize the relationship between different social categories: gender, race, sexuality, and so forth. Although research within the field of feminist geography has explored particular interconnections such as those between gender and race, the theoretical concept of intersectionality as debated in the wider social sciences has not been addressed. This article attempts to respond to that omission. It begins by tracing the emergence of debates about the interconnections between gender and other identities. It goes on to reflect on attempts to map geometries of oppressions. The emphasis then moves from theorizing intersectionality to questioning how it can be researched in practice by presenting a case study to illustrate intersectionality as lived experience. The conclusion demonstrates the contribution that feminist geography can make to advance the theorization of intersectionality through its appreciation of the significance of space in processes of subject formation. It calls for feminist geography to pay more attention to questions of power and social inequalities.     

二级生化出水化学法深度除磷实验

以二级生化出水为对象,采用4种常规除磷剂开展了化学法深度除磷和投药量经验系数法研究.研究结果表明,FeCl₃在pH为7.5、投加量为6.5 mg/L条件下,Al₂(SO₄)₃在pH为6、投加量为3.75 mg/L条件下,可使出水总磷小于0.5 mg/L,且处理费用低廉,是生化出水深度除磷的适宜药剂.FeCl₃在除磷的同时,对COD也具有较好的去除效果,可作为总磷和COD均超标的二级生化出水深度处理的有效途径.投药量经验系数法可根据原水和出水的磷质量浓度,估算出除磷剂投加量,在工程实践中具有较大的参考价值.     

一个动物识别专家系统在PROLOG下的实现

首先扼要分析了专家系统的基本工作原理，然后用PROLOG语言实现了一个简单的动物识别专家系统。     

APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO REMOTE SENSING*

Remote sensing is a geographic analysis tool capable of producing large quantities of data in the spectral, temporal and spatial domains. Techniques for automating the image analysis process would be advanced by the inclusion of artificial intelligence techniques in the design of image processing systems. The remote sensing application which show promise for successful implementation of artificial intelligence techniques are intelligent onboard processing, advanced database interrogation, and the automated analysis of multispectral imagery.     

Toward an expert system for identification of minerals in thin section

Minerals may be identified by optical inspection and x-ray diffraction analysis. Full and correct identification, however, requires experience and extensive knowledge of mineral characteristics and association. Computer systems designed to approach levels of human expertise in similarly complex identification tasks have become increasingly effective with the application and refinement of various Artificial Intelligence (AI) techniques. These knowledge-based systemsuse the skills, knowledge, and rules of thumb that distinguish the expert from the knowledgeable layman to emulate human expertise. They also may be modified to serve a tutorial role whereby a nonexpert's approach to the task may be compared with that of the expert (system), and criticized accordingly. Such a knowledge-based system capable of identifying minerals from their optical characteristics is being developed at the University of Reading.     

地区级旅游卫星帐户构建的国际经验及启示

地区级旅游卫星帐户(R-TSA)的构建在世界范围内普遍面临着机构、统计、框架、方法等方面的障碍。有些国家已经在R-TSA的数据收集、统计体系规范、TSA框架构建、影响效应估算等方面进行了一些探索和试验,以丹麦、安达卢西亚、澳大利亚的R-TSA的编制实践为例,探讨其经验与不足,并总结提炼出其对中国省市自治区级旅游卫星帐户的编制启示。     

The Norwegian Nature Index: Expert evaluations in precautionary approaches to biodiversity policy

The Norwegian Nature Index is a comprehensive effort to ‘make nature visible’ in communications between policymakers and the general public. To ensure that appropriate ‘early warnings’ for biodiversity loss are made available as a basis for precautionary approaches to sustainability and biodiversity policy, different knowledge sources need to be applied, such as the Red List for threatened species and the Nature Index, which gives a comprehensive overview of biodiversity. The article shows how the Nature Index can be supplemented with ‘early warnings’ of biodiversity from involved scientific experts, who were asked to assess the situation in 2020 for the indicators, in view of all available knowledge. They also assessed the uncertainty in their forecasts and their considerations of the need for and difficulty of implementing management measures to maintain biodiversity at the current level. Particularly for the major ecosystems considered to have a poor state, namely forests and open lowlands, experts indicated that urgent action was needed to improve the state of many indicators and that such management action would be possible. The findings indicate potential for eliciting experts' formal and informal knowledge in assessing the need and potential approaches to biodiversity policy.     

一种基于不确定度的水深控浅方法

针对目前广泛使用的经验取浅方法在安全可靠性上的不足,提出了一种基于不确定度的水深控浅方法。所提方法计算了原始观测和内插水深的不确定度信息,并基于不确定度信息设计了安全可靠的水深控浅模型,比对分析了两种水深方法的安全可靠性。实验证明：与经验取浅方法相比,所提方法可明显提高水深模型的安全可靠性,特别是在水深变化复杂的区域。     

铜矿数字矿床模型专家系统的原理与技术实现

数字矿床模型是指将传统的地质学语言描述的矿床特征,转化成计算机可以识别的数字和符号,并加入人工智能的推理规则和知识,使之具备矿床自动推理和勘查辅助决策的功能。本项研究是在基于前人的工作基础上,结合国内外数字矿床模型的先进理论和经验进行了系统的实现。本文论述了铜矿床数字化的方法原理以及在系统实现时的关键性技术问题。系统知识库和规则库的建立是在多位铜矿专家的协助下完成的,专家对一系列先验概率等相关参数进行赋值,并用统计学方法下进行了处理。铜矿专家系统中知识库和规则库的保存和管理使用了数据库开发技术,采用数据挖掘作为知识发现的新手段。系统使用产生式规则,采用主观贝叶斯方法为推理的总体算法,搜索策略采用广度优先向前搜索的策略;在地质证据的输入方面不只提供与铜矿类型直接相关的证据,同时系统也提供了更为充分的地质证据,使推理的过程更加可靠和合理,同时地质词典功能的加入方便用户对相关地质术语进行查询和检索。系统不仅能实现单一成因的矿床进行推理,也能对复合矿床类型进行推理。     

农用地定级专家信息系统的研发

农用地定级专家信息系统是我国现阶段土地管理实践和社会经济发展的必然要求。本文分析了开发农用地定级专家信息系统的可行性。通过VC++6.0嵌入GIS控件(MO2.0)开发了以系数修正法为例的农用地定级专家信息系统,实现了农用地的自动定级,相关数据的存贮、查询检索、统计分析,为用户提供农用地的各种数据、图件等信息产品。