我国环境污染治理投资的发展及存在问题

环境污染治理投资对于改善我国环境状况,遏制环境污染发展趋势具有重要作用.在界定了环境污染治理投资统计范围之后对我国环境污染治理投资的发展历程、投资结构进行了具体分析,其中重点分析了我国工业污染源治理投资的发展过程和投资结构,总结了我国环境污染治理投资存在的问题,以供决策部门参考.     

关于环境污染纠纷调查处理的几个问题

本文分析了环境污染纠纷发生的特点,提出了环境污染纠纷处理的基本途径,并就找准环境污染纠纷调查处理的法定主体、及时准确地取证、正确选用环境标准、做好举证倒置和无过错责任认定以及做好矛盾的化解工作等方面进行了讨论。     

FOXBASE在污染变化趋势定量分析中的应用

环境监测所提供的大量数据资料，往往要通过某种数学方法对其进行分析处理，以获取我们所需要的信息内涵。目前，衡量环境污染变化趋势在统计上有无显著性，最常用的技术是Daniel的趋势检验，被国家环保局发布的《环境质量报告书编写技术规定》定为推荐方法。为减轻工作强度，方便使用和推广计算机的应用，我们根据有关方法用FOXBASE语言编制了通用的Daniel趋势检验计算程序，供同行们参考。1Daniel趋势检验法概述Daniel趋势检验使用了spearman秩相关系数，此方法要求具备足够的数据，一般至少应采用4个期间的数据，给出时间周期和它们…     

强化突发性环境污染事故应急监测管理

对建立健全突发性环境污染事故应急监测与处置技术支持系统、强化突发性环境污染事故应急监测管理方面进行的一系列研究和指导性工作进行了总结.     

南京某地甲苯槽罐车燃烧事故应急监测案例分析与思考

突发性环境污染事故不仅破坏生态环境,制约社会发展,更威胁人类健康.环保部门如何加强应急监测能力建设,科学合理地处理应急监测中出现的问题,显得尤为重要.对一起突发性环境污染事故应急监测各个环节的优缺点进行了分析和思考,总结经验并提出建议,为同类突发环境污染事故的应急监测提供借鉴.     

环境污染犯罪侦查研究

环境保护事关公共利益,事关民众福祉,公安机关打击环境污染犯罪是法律赋予的应有之义。因此,公安机关如何迅速进入角色,及时、依法、准确、高效地打击环境污染犯罪,成为摆在我们面前的重要课题。本文通过对环境污染发案现状进行分析,查找了制约打击工作的瓶颈,并对科学运用侦查对策进行了研究和探讨。     

突发性环境污染事故应急系统及其响应程序

本文根据突发性环境污染事故应急工作的特点,本着实事求是、切实可行的原则,就建立应急组织、应急程序、技术储备等方面进行了探讨。可供各地在建立突发性环境污染事故应急系统及其响应程序时参考。     

关于设立水环境污染罪的理性思考

针对我国现行环境法实施中存在的问题，结合《中华人民共和国水污染防治法》修正案的发布后，新、旧《中华人民共和国刑法》关于环境犯罪的处罚规定，对设立水环境污染犯罪的必要性、水环境污染罪在立法上的背景和现状、水环境污染罪的犯罪构成及刑事责任进行了研究，提出了设立水环境污染罪的立法构想。     

飞信通讯手段在突发环境污染事件处置时的应用

对现有移动通讯方式在突发环境污染事件中的应用进行了比较。通过实例,简述了飞信作为突发环境污染事件应急处置时通讯方式的应用。结果表明,飞信综合了一对一、多对多的语音和图文信息传输方式,在技术资料支持和监测结果通报方面具有明显的实用价值,配合防爆型对讲机,可以满足应对突发环境污染事件时对通讯的要求。     

乡镇企业环境污染与妇女健康

针对中国乡镇企业发展概况、乡镇企业污染物排放状况，乡镇企业环境污染的主要特点及乡镇企业环境污染与妇女健康等问题进行了论述。     

Spatial patterns of heavy metals in soil under different geological structures and land uses for assessing metal enrichments

One hundred and thirty composite soil samples were collected from Hamedan county, Iran to characterize the spatial distribution and trace the sources of heavy metals including As, Cd, Co, Cr, Cu, Ni, Pb, V, Zn, and Fe. The multivariate gap statistical analysis was used; for interrelation of spatial patterns of pollution, the disjunctive kriging and geoenrichment factor (EF_G) techniques were applied. Heavy metals and soil properties were grouped using agglomerative hierarchical clustering and gap statistic. Principal component analysis was used for identification of the source of metals in a set of data. Geostatistics was used for the geospatial data processing. Based on the comparison between the original data and background values of the ten metals, the disjunctive kriging and EF_G techniques were used to quantify their geospatial patterns and assess the contamination levels of the heavy metals. The spatial distribution map combined with the statistical analysis showed that the main source of Cr, Co, Ni, Zn, Pb, and V in group A land use (agriculture, rocky, and urban) was geogenic; the origin of As, Cd, and Cu was industrial and agricultural activities (anthropogenic sources). In group B land use (rangeland and orchards), the origin of metals (Cr, Co, Ni, Zn, and V) was mainly controlled by natural factors and As, Cd, Cu, and Pb had been added by organic factors. In group C land use (water), the origin of most heavy metals is natural without anthropogenic sources. The Cd and As pollution was relatively more serious in different land use. The EF_G technique used confirmed the anthropogenic influence of heavy metal pollution. All metals showed concentrations substantially higher than their background values, suggesting anthropogenic pollution.     

Application of multivariate statistical techniques in the assessment of water quality in the Southwest New Territories and Kowloon, Hong Kong

The application of different multivariate statistical techniques for the interpretation of a complex data matrix obtained during 2000?C2007 from the watercourses in the Southwest New Territories and Kowloon, Hong Kong was presented in this study. The data set consisted of the analytical results of 23 parameters measured monthly at 16 different sampling sites. Hierarchical cluster analysis grouped the 12 months into two periods and the 16 sampling sites into three groups based on similarity in water quality characteristics. Discriminant analysis (DA) provided better results both temporally and spatially. DA also offered an important data reduction as it only used four parameters for temporal analysis, affording 84.2% correct assignations, and eight parameters for spatial analysis, affording 96.1% correct assignations. Principal component analysis/factor analysis identified four latent factors standing for organic pollution, industrial pollution, nonpoint pollution, and fecal pollution, respectively. KN1, KN4, KN5, and KN7 were greatly affected by organic pollution, industrial pollution, and nonpoint pollution. The main pollution sources of TN1 and TN2 were organic pollution and nonpoint pollution, respectively. Industrial pollution had high effect on TN3, TN4, TN5, and TN6.     

污染源普查动态更新调查技术问题及解决对策分析

深刻剖析了2009年度污染源普查动态更新调查中有关技术层面的种种问题:技术路线不够完善,污染物核算方法不够灵活,产排污系数失真且使用随意,数据审核形同虚设等。针对上述问题,提出了以下对策:修正技术路线,调整污染物核算方法,动态更新产排污系数并约束使用,加强数据审核。技术问题的总结和解决为准确提供"十二五"减排基数和建立"十二五"环境统计技术体系奠定科学基础。     

大气污染预报技术及有关防治对策的研究

依据历史监测数据,研究了大气污染预测预报的方法及污染防治对策。利用主分量分析、多元逐步回归、拟合与逼近等方法,进行了天气预报参数与主要污染物的关系研究,建立了大气污染预测预报模型,制定了大气污染警戒值及警戒措施。模型可做４８小时内大气污染预报及１０日内大气污染趋势分析。     

动态因子分析在环境监测数据综合处理中的应用

动态因子分析(DFA)作为降维度的多元统计方法,被设计用于时间序列分析,以揭示多元变量中解释变量与共同趋势对响应变量的影响程度。相较传统多元统计方法,DFA显性考虑时间因素,并量化影响响应变量的潜在因素。该方法可以忽略内在理化过程,具有良好的模拟效果,且在国外已广泛应用于地表水及地下水生态环境、空气污染等领域,但在国内尚未被应用。DFA在自身完善、应用范围、信息挖掘、数据预处理、预测分析、空间分析方面仍有巨大发展前景。     

Assessment of seasonal variations of surface water quality characteristics for Porsuk Stream

In this study, the factor analysis technique is applied to surface water quality data sets obtained from Porsuk stream in Turkey, generated during 10 years (1995-2005) monitoring of 29 parameters at one site (Esenkara) for all four seasons. The varifactors obtained from factor analysis indicate that the parameters responsible for water quality variations are mainly related to mineral and inorganic nutrients, organic pollution, microbiological pollution in winter and spring; mineral and nutrients in summer; microbiological and nutrient pollution in fall. This study presents the necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water.     

水污染事件应急跟踪监测期分析的质量控制

随着环境应急事故处理的规范化要求不断深入,在水污染事件应急监测的不同阶段应做好相关质量控制工作。研究以某突发水环境污染事件为例,探讨跟踪监测阶段分析质量控制措施,包括实验室手工分析和采用自动分析设备分析。质量控制数据统计结果表明:该污染事件跟踪监测期间实验室分析数据处于可控状态,自动分析仪器所得数据与实验室分析数据可比。案例结果表明:在确定主要污染物后的污染事件跟踪监测期内,实验室分析应严格按照相关标准规范要求开展质量控制。建议在水污染事件应急监测中,通过方法比对和规范的质量控制措施,使监测处于受控状态,进一步提高应急监测数据质量,保证监测结果的及时、科学、准确和可靠。     

Environmetric approaches for lake pollution assessment

The application of multivariate statistical methods to high mountain lake monitoring data has offered some important conclusions about the importance of environmetric approaches in lake water pollution assessment. Various methods like cluster analysis and principal components analysis were used for classification and projection of the data set from a large number of lakes from Rila Mountain in Bulgaria. Additionally, self-organizing maps of Kohonen were constructed in order to solve some classification tasks. An effort was made to relate the maps with the input data in order to detect classification patterns in the data set. Thus, discrimination chemical parameters for each pattern (cluster) identified were found, which enables better interpretation of the pollution situation. A methodology for application of a combination of different environmetric methods is suggested as a pathway to interpret high mountain lake water monitoring data.     

Multivariate Analysis of the Hong Kong Victoria Harbour Water Quality Data

Two multivariate techniques (principal components analysis and cluster analysis) are used to analyse Hong Kong Victoria Harbour water quality data. Results show that the sampling stations can be divided into four main groups, which is consistent with the tripartite structure obtained from an environmental approach. Moreover, it is found that the groups produced can be interpreted based on two main features of the data: nutrient level and the algae-faecal pollution.     

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。