Near Real-Time Monitoring and Mapping of Specific Conductivity Levels Across Lake Texoma, USA

A submersible sonde equipped with a specific conductivity probe, linked with a global positioning satellite receiver was developed, deployed on a small boat, and used to map spatial and temporal variations in specific conductivity in a large reservoir. 7,695 sample points were recorded during 8 sampling trips. Specific conductivity ranged from 442,uS/cm to 3,378,uS/cm over the nine-month study. The data showed five statistically different zones in the reservoir: 2 different riverine zones, 2 different riverine transition zones, and a lacustrine zone (the main lake zone). These data were imported to a geographic information system where they were spatially interpolated to generate 8 maps showing specific conductivity levels across the entire surface of the lake. The highly dynamic nature of water quality, due to the widely differing nature of the rivers that flow into the reservoir and the effect of large inflows of fresh water during winter storms is easily captured and visualized using this approach.     

BOD微生物传感器检测方法的研究

采用固定化微生物分散悬浮的方法，进行了BOD微生物传感器及其检测方法的研究。该传感器响应大、测量范围广、稳定性好，测定BOD时，线性响应范围为0-500mg/L，线性相关系统数达到0.99以上，且存在很好的重现性，响应时间在12min内。测定结果与BOD5标准方法具有良好的相关性，连续稳定地工作寿命在4个月以上。     

生物传感器快速测定BOD在海洋监测中的应用

选用一株耐高渗透压的酵母菌种作为敏感材料可以实现BOD的快速测定。采用海藻酸钙包埋法和聚乙烯醇包埋法两种细胞固定化方法并进行了比较。就聚乙烯醇固定化微生物进行了渗稼压和重金属离子影响的研究。     

移动式接触氧化工艺在废(污)水中的应用

采用移动式接触氧化法(MBBR)处理生活污水,许多工程实例表明该法有很好的处理效果。在此介绍了MBBR法在废水、生活污水处理工程中的应用情况。     

洗车业污染现状及管理对策

城市洗车业存在水资源严重浪费，行业管理不到位导致水体污染等诸多问题，却没能引起有关部门重视。为此，针对洗车业存在的问题，以徐州市为例，从管理、技术、经济等多角度、多层面进行分析，提出了相应的建议和对策。     

家庭中水利用装置系统的设计

结合我国家庭中水的利用现状,设计了一套具有广泛应用性的家庭中水利用装置系统,并实现了相应的自动化控制方案。同时,详细介绍了系统的设计思路与实现的主要功能,并对装置系统的有关问题进行了深入的探讨。     

BOD微生物传感器的研究

本实验从活性污泥中分离筛选出一株对广泛底物具有外源呼吸的假单胞菌(Pseudomonas sp.A_4)。用该种菌株制成的BOD微生物传感器可在15min内完成一个样品BOD的测定。该法与传统方法有较好的相关性,可连续使用六周以上。     

分子印迹技术在环境科学领域中的应用

分子印迹技术（MIT）是一门新兴的边缘科学技术，它的产生与发展为环境科学打开了又一视角。介绍了MIT的产生与发展及基本原理，综述了MIT在环境科学领域中的应用，主要包括MIT在固相萃取、膜分离、色谱分析、传感器及分子印迹聚合物作为催化剂在环境修复中的应用。     

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.     

一种新型宽带移动终端天线设计方案

针对当前无线通信中的终端天线应用进行研究,提出了一种新型的宽带微带天线结构,并采用了高频电磁场仿真软件进行了仿真验证和实际样品测试。结果表明,该天线可在0.816GHz~1.099GHz频段和1.657GHz~2.260GHz频段内达到要求的驻波比,可以实现GSM850/900/1800/1900频段以及WCDMA2100频段的要求。同时该天线结构整体辐射性能好,具有全向辐射性,适合移动终端使用。