基于信息熵的重庆开县乡镇集中式饮用水水源地水质模糊综合评价

结合重庆开县饮用水源地水质监测数据情况,对全县饮用水源地的水质进行模糊综合评价,采用熵权法赋权对水质进行了分级评价。2010～2011年,水质情况总体良好,绝大部分水质处于I类和II类。2011年下半年水质较其他时间有所退化,出现了两个III类水。这个变化趋势应该引起当地政府的高度重视。     

江苏省社会环境检测机构业务登记及监管系统设计与应用研究

以江苏省社会环境检测机构监管工作为基础,介绍了社会环境检测机构业务登记及监管系统的设计思路,并对系统应用后所登记的环境检测机构、人员、业务等情况进行分析,总结监管过程中发现的问题,对系统的二次开发和功能扩展提出了设想及建议,目的在于使该系统功能更加完善和适用,进一步提升社会环境检测机构监管能力水平.     

基于信息化集成的新版排污许可证监督管理系统研究

旧版排污许可证信息管理系统信息化程度低,存在管理滞后和耐压性差的弊端,无法满足当前经济发展的需求.设计基于信息化集成的新版排污许可证监督管理系统,依据B/S架构,通过MVC设计模式对排污许可证监督管理系统实施总体设计,基于MVC模式将系统分割成Model层、View层以及Controller层,分别实现系统信息处理部分的数据存储和操作、数据展示并同用户交互、合理控制系统流程.实验结果说明,所设计系统进行排污许可证监督管理过程中,各项功能运行良好,具有较高的耐压性和稳定性.     

湖泊水环境高空间遥感影像污染点源信息提取研究

传统的污染点源信息提取技术存在权重因子各指标取值范围广、提取精准度不准确、植被覆盖率检测效果差等问题,为此,采用高空间遥感影像对湖泊水环境污染点源信息提取进行研究.针对信息的选择和预处理,需要先获取污染点源信息,并利用多项式对遥感影像图中的畸形几何进行修正;通过利用TM影像技术分析波段组合和单独使用波段的分类效果;根据影像中不同的隶属度,构建水体规则,分析水体差异指数,由此提高信息提取的精度,进而完成污染点源信息的提取.通过选取验证区域,进行实验,实验结果表明,使用该技术能够缩小权重因子各指标取值范围,并提高污染点源信息提取的精准度与植被覆盖率检测的效率,实用性较强.     

中小企业信息网络建设研究

通过分析国内中小企业信息网络与咨询服务的现状,论述了建设中小企业信息网络的重要作用,并指出了中小企业信息网络的发展趋势。     

基于模糊Petri网的危险品运输安全评估模型及应用

针对现代危险品运输安全监控问题,以运输费用、事故风险、灾害致灾、补救能力为运输安全评估的关键因素,建立安全分析的评估指标体系,提出一种基于模糊Petri网的危险品运输安全评估模型。首先应用转换规则给出评估指标体系的模糊Petri网表示和在Petri网模型的基础上的模糊推理算法,其次结合层次分析法(AHP),采取定性与定量分析相结合的方法进行安全评价;最后给出基于ArcGIS的评估模型实现方法,并应用于危险品运输安全监控系统的开发。模糊Petri网的数学特性及易于实现的特性,使得安全评估模型的建立,有助于实现运输安全评估策略的形式化、定量化和动态决策,而基于安全评估模型的危险品运输车辆监控系统的成功开发,进一步表明评估模型、推理算法和实现方法是合理可行的。     

The role of water in the information exchange between the components of an ecosystem

Living organisms and ecosystems have been shown to be sensitive to very weak signals originating very far away. The dynamics governing these phenomena is discussed in the framework of Quantum Field Theory. This phenomenon gives an indication on the dynamics responsible for the exchange of information in ecosystems. The peculiar role of coherent water is stressed. It is shown that energy is able to travel in a coherent medium in form of solitons, without any losses.     

Potential solar radiation pattern in relation to the monthly distribution of giant pandas in Foping Nature Reserve, China

Solar radiation is an important parameter in ecological process modeling, hydrological modeling and bio-physical modeling. However, models focusing on solar radiation in relation to giant panda habitat and seasonal distribution are limited. The research aims to form spatial models of 12 month solar radiation patterns and to investigate the relation between the solar radiation patterns and the monthly distribution patterns of giant pandas. The solar radiation model of Kumar et al. was adopted for this study in Foping Nature Reserve (NR), China. By comparing twelve monthly solar radiation patterns and calculating statistics such as maximum, minimum, mean and standard deviation of the solar radiation, diversified solar radiation patterns over different months were obtained. Maximum solar radiation occurred in June and July, while minimum solar radiation occurred in December and January. The annual sum of solar radiation was 6954 MJ/m² in Foping NR. The range in solar radiation was smaller in hot months and larger in cold months. Radio tracking data of giant pandas were collected for twelve months and the ensuing maps were overlaid with the twelve-month solar radiation map to analyze the relation between the giant panda's monthly distribution and solar radiation. Our results showed that giant pandas prefer areas with lower solar radiation in warm months and select areas with higher solar radiation in cold months, which illustrates that the distribution of giant pandas is indeed affected by solar radiation. To a certain degree, it also explains the behavior of seasonal movement by giant pandas in Foping NR.     

Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS

To make a macrofaunal (crustacean) habitat potential map, the spatial distribution of ecological variables in the Hwangdo tidal flat, Korea, was explored. Spatial variables were mapped using remote sensing and a geographic information system (GIS) combined with field observations. A frequency ratio (FR) and logistic regression (LR) model were employed to map the macrofauna potential area for the Ilyoplax dentimerosa, a crustacean species. Spatial variables affecting the tidal macrofauna distribution were selected based on abundance and biomass and used within a spatial database derived from remotely sensed data of various types of sensors. The spatial variables included the intertidal digital elevation model (DEM), slope, distance from a tidal channel, tidal channel density, surface sediment facies, spectral reflectance of the near infrared (NIR) bands and the tidal exposure duration. The relation between the I. dentimerosa and each spatial variable was calculated using the FR and LR. The species was randomly divided into a training set (70%) to analyse habitat potential using FR and LR and a test set (30%) to validate the predicted habitat potential map. The relations were overlaid to produce a habitat potential map with the species potential index (SPI) value for each pixel. The potential habitat maps were compared with the surveyed habitat locations such as validation data set. The comparison results showed that the LR model (accuracy is 85.28%) is better in prediction than the FR (accuracy is 78.96%) model. The performance of models gave satisfactory accuracies. The LR provides the quantitative influence of variables on a potential habitat of species; otherwise, the FR shows the quantitative influence of a class in each variable. The combination of a GIS-based frequency ratio and logistic regression models and remote sensing with field observations is an effective method to determine locations favorable for macrofaunal species occurrences in a tidal flat.     

浅谈四级环境监测站档案管理工作

简述了环境监测档案在环境保护、生态建设、社会经济发展中的重要价值,分析了当前四级环境监测档案管理中人员培养、信息化建设、保密管理等存在问题,提出,应完善档案管理设备,引进档案管理专业人才,落实档案管理职责,制定相关制度,加强档案密级管理,加快档案信息化建设.