在可持续发展中推进我国生态型小城镇建设

随着我国城市化的发展,小城镇建设也成了城市化过程中的一个重要环节。建设好小城镇即是走出一条我国农村社会现代化,农村人口城市化的路子[2]。我国小城镇建设的环境问题[3],是缺乏环境规划和环保能力薄弱、生活污染严重、乡镇企业布局分散、村镇建设与周围环境亲和性差。针对目前小城镇建设存在的问题,从社会经济环境可持续发展的战略高度对小城镇的生态建设思路进行了有实际意义的讨论。     

炼铁高炉净环水高pH碱性运行的阻垢缓蚀研究

以某炼铁高炉妆环水为对象，对循环冷却水高ＰＨ碱性运行阻垢缓蚀进行了研究，筛选出了一复合配方。工业应用试验结果表明，此配方对Ａ３钢的污垢附着速率，腐蚀速率和污垢热阻均低于国家规定的指标要求，说明该配方具有良好的阻垢缓蚀性能。     

云南省中小企业推广清洁生产初探

对云南清洁生产的发展概况和存在问题进行了分析,提出了从政府导向监管、企业利益和中介服务等3个方面来推广中小企业清洁生产的设想.     

Risk attitudes and mitigation among gold miners and others in the Suriname rainforest

This article analyses the question: do attitudes towards risk influence participation in small‐scale gold mining, a hazardous activity that generates uncertain income? This question is examined by measuring and comparing the risk attitudes of gold miners and non‐mining community members in the rainforest of Suriname, South America. The author presents a multivariate model to predict the duration of work in mining areas as a function of risk tolerance, age, education, and household demographics. The results suggest that a greater tolerance to risk increases the duration of a person's mining career. However, attitudes explain only a fraction of the variation in occupational choices. Qualitative data suggest that these choices are primarily shaped by local barriers to human capital development and by national economic volatility. Given their marginal position in society and the multitude of mining risk mitigation strategies, it is questionable whether gold mining exposes Suriname forest peoples to greater risks than other subsistence alternatives. The author argues that sensitivity to local historical and cultural conditions would improve the efficiency of policies aimed at developing a more sustainable mining industry. By zooming in on the daily lives of miners, anthropology can complement macro‐scale analyses and contribute to policy interventions in the small‐scale mining sector.     

仪化热电厂提高循环水浓缩倍率的措施

针对仪化热电厂将循环水用作冲灰水，导致浓缩倍率只有1.6，以及凝汽器铜管腐蚀结垢严重等问题，提出了隔断循环水与冲灰水的直接联系，实现闲路循环，对凝汽器铜管进行酸洗，并对循环水实施加缓蚀阻垢荆、杀菌剂和旁流过滤等办法，全部实施后产生了很好的效益，值得借鉴。     

台风湍流积分尺度与脉动风速谱——基于实测数据的分析

基于4个台风过程中的长时间序列风速、风方向观测数据，分析研究了近地台风的湍流积分尺度和脉动风速谱等脉动特性。介绍了湍流积分尺度的几种常见的计算方法，基于实测台风数据，分析研究了台风过程中湍流积分尺度的变化以及不同计算方法的稳定性。根据实测数据计算了纵向脉动风速谱，并与Von-Karman谱、Davenport谱、Simiu谱和Harris谱等经验谱进行了比较，给出了最适合描述台风纵向脉动风速谱的经验谱。还计算了横向脉动风速功率谱，并与基于各向同性湍流理论推导出的水平横向脉动风速谱进行了对比。     

EFFECTS OF WATERSHED REPRESENTATION ON RUNOFF AND SEDIMENT YIELD MODELING1

ABSTRACT: This paper evaluates the effects of watershed geometric representation (i.e., plane and channel representation) on runoff and sediment yield simulations in a semiarid rangeland watershed. A process based, spatially distributed runoff erosion model (KINEROS2) was used to explore four spatial representations of a 4.4 ha experimental watershed. The most complex representation included all 96 channel elements identifiable in the field. The least complex representation contained only five channel elements. It was concluded that oversimplified watershed representations greatly influence runoff and sediment yield simulations by inducing excessive infiltration on hillslopes and distorting runoff patterns and sediment fluxes. Runoff and sediment yield decrease systematically with decreasing complexity in watershed representation. However, less complex representations had less impact on runoff and sediment‐yield simulations for small rainfall events. This study concludes that the selection of the appropriate level of watershed representation can have important theoretical and practical implications on runoff and sediment yield modeling in semiarid environments.     

小城镇地震数字仿真与应急调度系统的研究

以地理信息系统为平台进行地震灾害研究,建立具有强大空间分析功能的信息系统,将发挥快速、准确的辅助决策作用.本文剖析了小城镇地震应急反应模式存在的弊端,明确了灾害空间的概念,并提出小城镇空间数据库的建库及三维可视化的技术方案.在基础信息数字化和可视化的基础上,开发了小城镇地震数字仿真与应急调度系统,实现了基于地震数字仿真结果,在相关数据库支持下进行地震应急调度决策.实践证明:该系统的运行,有利于小城镇抗震减灾的迅速决策;小城镇空间数据库的建库技术,贴合我国小城镇信息化的现状,技术可行、经济合理.     

BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: Water scarcity in the Sevier River Basin in south‐central Utah has led water managers to seek advanced techniques for identifying optimal forecasting and management measures. To more efficiently use the limited quantity of water in the basin, better methods for control and forecasting are imperative. Basin scale management requires advanced forecasts of the availability of water. Information about long term water availability is important for decision making in terms of how much land to plant and what crops to grow; advanced daily predictions of streamflows and hydraulic characteristics of irrigation canals are of importance for managing water delivery and reservoir releases; and hourly forecasts of flows in tributary streams to account for diurnal fluctuations are vital to more precisely meet the day‐to‐day expectations of downstream farmers. A priori streamflow information and exogenous climate data have been used to predict future streamflows and required reservoir releases at different timescales. Data on snow water equivalent, sea surface temperatures, temperature, total solar radiation, and precipitation are fused by applying artificial neural networks to enhance long term and real time basin scale water management information. This approach has not previously been used in water resources management at the basin‐scale and could be valuable to water users in semi‐arid areas to more efficiently utilize and manage scarce water resources.