露天矿边坡实用型专家系统PESOPS V1.0的设计与应用

结合边坡工程和岩质边坡普遍存在的问题，建造了一个露天矿边坡实用型专家系统ＰＥＳＯＰＳ Ｖ１．０。介绍了滑坡预报子系统的原理和方法，通过应用实例表明该子系统适用性强，预报可靠、使用方便。     

土水特征曲线的通用数学模型研究

土水特征曲线对于研究非饱和土的物理力学特性至关重要。根据土水特征曲线可以确定非饱和土的强度、体应变和渗透系数 ,甚至可以确定地下水面以上水份分布。由于土体物理力学特性的差异 ,导致描述其土水特征曲线的数学模型也各不相同。因此 ,建立土水特征曲线的通用数学表达式 ,显得尤为必要。本文对土水特征曲线数学模型进行了研究 ,依据这些模型的数学表达式形式 ,将其划分为 4种类型。分别由这 4种类型的数学模型推导出具有统一表达式形式的土水特征曲线通用数学模型 ,并运用陕北高原黄土土水特征曲线试验数据对通用数学模型进行了研究     

地球化学场精细结构解析方案与应用

为满足勘查地球化学对化探数据处理越来越精细的要求，把人工神经网络和统计分析结合起来形成地球化学场精细结构解析方案。该方案包括对地球化学样品的分类和对各类样品性质的详细研究，目的在于提供便捷的数学和计算机软件工具，以提取化探数据中的深层信息。可以用于：①研究各组样品中元素含量水平和组合特征以解释可能的矿种；②研究元素组合特征与指示元素的关联和区别以揭示可能的成矿作用过程；③研究异常样品的空间组合属性以揭示地球化学场的精细结构；④研究异常样品之间的差异性以缩小找矿靶区；⑤综合分析以确定剥蚀深度和找矿前景。该方案也适用于环境地球化学及矿产资源预测研究。     

地貌晕渲中光源使用方法与用色规则的研究

研究了设计彩色地貌晕渲图的交互式人机协同方法，并着重对晕渲中灰度值和色彩的调整方法进行改进和试验。试验表明，利用该方法制作的彩色地貌晕渲效果比单光源彩色地貌晕渲有较大的改善。     

基于智能对象的决策支持系统体系结构研究

分析了决策问题及其求解过程 ,揭示了传统IDSS体系结构的不足 ,阐述了应用面向对象的结构化知识表达构造智能对象 ,提供了智能决策过程支持的方法和新的IDSS体系结构 ,并在农业空间决策信息系统的实践中进行了验证     

Doing groups: Situating knowledge and creating stories

This paper presents group research as a potentially powerful research tool for cultural geographers interested in the ways knowledge is produced at the interpersonal level. I argue that groups can create unique research spaces that incorporate 'sociality', the everyday social norms, logics and languages that guide ordinary conversations, into the research agenda. By concentrating on these discursive norms, insights can be obtained into the ways that knowledge is negotiated, produced and constrained in different places. To demonstrate the value of group research, a case study involving Australian environmentalists is analysed, to show how forests are constructed, contested and naturalised within this particular subculture. The article concludes by emphasising the importance of group research to critical geographers interested in social empowerment and change.     

Geographical knowledge and policy: the positive contribution of discourse studies

The 'discursive turn' has been blamed for a lack of engagement between geographers and policymakers. This paper argues that such a view is fundamentally flawed. It ignores the positive contribution that discourse analysis has made to policy studies and the particular role that geographers have played in developing such analyses. It is based on a misconceived view of the policy process and how knowledge can contribute to policy outcomes. A closer attention to policy discourses reveals exactly how knowledge is constructed within the policy process and can help identify how policy may be improved through discursive means.     

Research relevance, 'knowledge transfer' and the geographies of CASE studentship collaboration

The Co-operative Awards in Science and Engineering (CASE) studentship programme of the UK Research Councils provide one example of wider efforts internationally to encourage so-called 'knowledge transfer' and thereby harness publicly supported university research more closely to the goals of national competitiveness, regional economic development and local regeneration. In this paper we describe the implications of how the various UK research councils have interpreted the objectives and beneficiaries of 'knowledge transfer', both for the relative opportunities available to human and physical geographers for collaboration through CASE and for the sorts of values that their research must serve. Then, we draw on unpublished data from the Economic and Social Research Council (ESRC) to explore the geographies of CASE studentship allocation and participation. The broad regional and institutional patterns of participation we describe have important implications for ongoing debates in the UK about research selectivity and the role of the university as an engine of local development, while the striking disciplinary patterns of CASE participation, and in particular the overwhelming success of geographers in this competitive programme, provide an opportunity to reassess claims about whether and for whom geographical research is relevant.     

Looking for the critical geographer, or why bodies and geographies matter to the emergence of critical geographies of Latin America

This paper argues that critical geographies of Latin America begin with an analysis of how and why the bodies and geographies of geographers themselves matter. To focus on the geographer as a producer of knowledge is not to advocate the kind of navel gazing so abhorrent to many scholars. Rather, it is an effort to call attention to and critically assess how the geographer's embodied social position and geographic location inform the production of knowledge about and representations of Latin American people and nature. To illustrate how and why bodies and geographies matter, I draw from feminist and post-colonial theory and include examples from my own experiences and those of other researchers doing fieldwork in Latin American countries. I conclude by exploring the notion of situated knowledge as a tactic that writes bodies and geographies into academic texts. Ultimately, situating knowledge represents a political intervention and contribution to the broader goals of emancipatory politics shared by critical human geographers.     

Urban stormwater thermal gene expression models for protection of sensitive receiving streams

Thermal impact of typical high‐density residential, industrial, and commercial land uses is a major concern for the health of aquatic life in urban watersheds, especially in smaller, cold, and cool‐water streams. This is the first study of its kind that provides simple easy‐to‐use equations, developed using gene expression programming (GEP) that can guide the assessment and the design of urban stormwater management systems to protect thermally sensitive receiving streams. We developed 3 GEP models using data collected during 3 years (2009–2011) from 4 urban catchments; the first GEP model predicts event mean temperature at the inlet of the pond; the second model predicts the stormwater temperature at the outlet of the pond; and the third model predicts the temperature of the stormwater after flowing through a cooling trench and before discharging to the receiving stream. The new models have high correlation coefficients of 0.90–0.94 and low prediction uncertainty of less than 4% of the median value of the predicted runoff temperatures. Sensitivity analysis shows that climatic factors have the highest influence on the thermal enrichment followed by the catchment characteristics and the key design variables of the stormwater pond and the cooling trench. The general method presented here is easily transferable to other regions of the world (but not necessarily the exact equations developed here); also through sensitivity and parametric analysis, we gained insight on the key factors and their relative importance in modelling thermal enrichment of urban stromwater runoff.