Estimation of thermodynamic parameters of the biosphere, based on remote sensing

A method that allows the estimation of the thermodynamic parameters of the biosphere has been developed. It results in the subdivision of the following four phase states of the biosphere: three equilibrium states: “white planet” with high albedo and low entropy; temperate forest in winter with high entropy; and desert with high entropy; and one nonequilibrium state: the “active forests” with low entropy, high information gain and the highest exergy values. The phase shift to a nonequilibrium state happens when albedo is less than 0.2.     

Estimating dyad association probability under imperfect and heterogeneous detection

In animal behaviour studies, association indices estimate the proportion of time two individuals (i.e. a dyad) spend in association. In terms of dyads, all association indices can be interpreted as estimators of the probability that a dyad is associated. However, traditional indices rely on the assumptions that the probability to detect a particular individual (p) is either approximately one and/or homogeneous between associated and not associated individuals. Based on marked individuals we develop a likelihood based model to estimate the probability a dyad is associated (ψ) accounting for p < 1 and possibly varying between associated and not associated individuals. The proposed likelihood based model allows for both individual and dyadic missing observations. In addition, the model can easily be extended to incorporate covariate information for modeling p and ψ. A simulation study showed that the likelihood based model approach yield reasonably unbiased estimates, even for low and heterogeneous individual detection probabilities, while, in contrast, traditional indices showed moderate to strong biases. The application of the proposed approach is illustrated using a real data set collected from a population of Commerson's dolphin (Cephalorhynchus commersonii) in Patagonia Argentina. Finally, we discuss possible extensions of the proposed model and its applicability in animal behaviour and ecological studies.     

云南省土壤环境质量分析系统设计与实现

土壤是人类赖以生存的基本要素之一,然而随着我国经济社会的发展,土壤环境污染日益严重,已威胁到各种陆生动植物的生态平衡。为落实环保部《关于加强土壤污染防治工作的意见》要求,2006年云南省土壤污染调查全面启动。系统运用Microsoft Visual Basic作为开发语言,SQL Server作为数据库,Arc GIS作为地图开发工具,来完成数据的导入和校验,统计、评价和对比的分析与查询,以及各类统计图表的自动生成。系统开发解决了庞大数据的管理与分析问题,对数据进行了生动的图表化表示并通过数据自动更新机制,简化了数据的管理工作,提高了《云南省土壤环境质量报告》的编制效率,对各级管理部门的决策工作具有较大的辅助意义。     

污染场地调查与评估信息系统设计

为了管理和风险评估污染场地,结合调查和评价应用中的管理工作流程,对污染场地数据库的设计方案进行了分析,其中包括数据标准的制定、数据库总体结构设计和数据表设计等;同时具体介绍了调查与评估信息系统的设计方案,包括系统设计目标、总体结构和功能模块设计等内容,为系统的构建进一步提供技术支持.     

"两级质控、第三方运营"水质自动站管理模式初探

以江苏省太湖流域水质自动站管理模式为例,从运维管理、质控管理等角度介绍了“两级质控、第三方运营”水站管理模式的基本结构、概念和优势.     

Model for empowering rural poor through renewable energy technologies in Bangladesh

This paper proposes an integrated ecological, economic and social model to assist sustainable rural development in villages in Bangladesh. In the model, renewable energy technologies (RETs) create income-generating activities for male landless and marginal farmers and for women from such households, while reducing environmental problems, like deforestation and indoor air pollution from cooking with poor-quality fuels. Because of the high capital costs of RETs, the model proposes an extension of the well-known micro-credit approach developed by such NGOs as the Grameen Bank and BRAC. With the assistance of an External Agency composed of NGO, business, government and university representatives, such groups of villagers would form Village Organizations, comprising cooperatives or other forms of business, borrow money from a bank or large NGO, and purchase a RET based on biogas, solar or wind, depending upon location. By selling energy to wealthier members of the village, the Village Organizations would repay their loans, thus gaining direct ownership and control over the technology and its applications.     

本溪市水环境承载力及指标体系

水环境承载力是近年提出的一个新概念，它是用以定量描述水资源和水污染及其有关参数的一个综合指标，其含义为：在一定的自然环境条件和特定的社会经济发展模式下，区域水环境（包括水资源和水污染）对其社会经济发展的支撑能力．水环境承载力是由水环境系统结构决定的，它体现了水环境与人类社会经济活动之间的联系．对一个城市而言，不同的社会经济发展速度规模及不同的水环境治理对策，其水环境承载力各不相同，水环境承载力是区域自然条件、区域经济发展模式（发展的方向和发展的速度）及相应的水资源与水污染防治对策的函数．水环境承载力具有客观性、变动性和可控性三个基本特点，利用水环境承载力可以评判城市水环境对其社会经济发展承载大小．为区域社会经济与水环境协调发展提供决策依据．     

环境中铅的化学循环

本文论述了环境中铅的背景值、来源、污染、质量标准，化学循环包括沉淀溶解、络合解离和吸附解吸以及环境中铅的烷基化，为铅污染治理提供理论依据．     

污水中喹诺酮类抗生素分布及与环境变量的相关性研究

利用固相萃取-高效液相色谱串联质谱法（SPE-HPLC-MS/MS）对广西九洲江地区的6个污水处理厂的进水和出水中的喹诺酮类抗生素（QNs）进行检测,分析不同处理工艺对QNs的去除情况,并对检出的QNs进行冗余分析,探究其与环境变量之间的相关性。结果表明,污水处理厂进水中诺氟沙星（NFX）检出浓度最高,其次是环丙沙星（CPX）、氧氟沙星（OFX）和恩诺沙星（EFX）,QNs在进水和出水时的质量浓度分别为252.1~1 374.9 ng/L和44.4~147.1 ng/L;污水中QNs的总去除率为66.6%~92.5%;Na⁺、K⁺和总有机碳（TOC）与多数QNs呈正相关关系,Ca²⁺、Mg²⁺、pH值与多数QNs呈负相关关系。     

基于GIS的地震构造信息系统

本文讨论了地震构造信息系统的建造和信息管理。系统是以GIS工具软件ARC/INFO为开发平台建造的,原始资料复盖华北地区的大部,约北纬35～41度,东经109～120度。系统包括活动断裂、破坏性地震、仪器记录地震等信息。本文深入研究了GIS做为信息管理工具的能力,探讨了GIS在地震区划图编制中可能起到的作用。系统能使地震危险分析中信息管理方式、信息管理效率和利用率有质的改进,在某种程度上减小资料利用不充分和人为任意性引起的不确定性。作为一种探索,本文进行了一系列的空间操作和分析,以研究空间特征之间的相关性,并产生新的数据集合。