脆弱生态区评价的理论与方法

由于脆弱生态区的脆弱性不仅表现为其内部结构的不稳定,而且还表现在它对外界干扰反应的敏感上,脆弱生态区的现状、发展趋势及其稳定性都是其脆弱性固有属性的表现形式,因此,脆弱生态区的评价也就应该包括脆弱生态区的现状评价、趋势评价和稳定性评价等。论文在对脆弱生态区重新界定的基础上,以模糊评价理论对脆弱生态区的现状、以灰色预测和趋势函数法对脆弱生态区的发展趋势、以非线性理论对脆弱生态区的稳定性进行评价。     

北京市空气质量及其与能源消费结构的动态关联

运用模糊集理论中的Euclidean权距离评价2002—2011年北京市空气质量。根据最大隶属度原则确定空气质量等级值,结合灰色系统理论中的关联动态矩阵分析法,研究北京市主要大气污染物与9种能源消费因子的动态关系。结果表明,2002、2004—2007年北京市空气质量处于Ⅲ级,2003、2008—2011年处于Ⅱ级,空气质量由劣到优的年份排序为2002、2011、2010、2006、2007、2009、2008、2005、2004、2003年,2003、2008年空气质量得到改善,2009年以来有所恶化;燃料油、焦炭和煤炭是造成北京市大气污染的前3位能源,天然气是最清洁的能源;同种能源与不同污染物的关联程度相似;同种能源与污染物在不同时间段的关联序基本不变,不同能源因子分别表现出"缓慢上升"、"逐渐升高"、"水平S"型和"倒U"型4种态势;燃料油与大气污染物"同增同减",大气污染物与燃料油正相关;天然气与大气污染物"此涨彼消",天然气与大气污染物负相关。     

Health risk assessment of PCDD/F emissions from a hazardous and medical waste incinerator in Turkey

A multimedia risk assessment procedure was conducted to determine the fate and transport of polychlorinated dibenzo-p-dioxin and polychlorinated dibenzofuran (PCDD/F) emissions from the Izmit Hazardous and Medical Waste Incinerator (IZAYDAS) in Turkey and their potential health risks. Congener concentrations in ambient air and their deposition rates were determined by an air dispersion model (ISCST3). Their transfer to some plant groups and animal tissues was predicted by food chain modeling. Exposure scenarios were produced based on three receptor groups (urban, semiurban, and rural) and five subgroups determined according to ages. Daily intakes of PCDD/Fs via exposure pathways were determined based on three different emission scenarios for each group and subgroup. Estimated incremental PCDD/F doses caused by the incinerator emissions in central-tendency scenario were computed as between 2.31 x 10(-6) and 0.008 pg TEQ kg(-1) bodyweight (bw) day(-1) on average for all the receptors other than infants in all the settings, while the range was 3.01 x 10(-5)-0.081 pg TEQ kg(-1) bw day(-1) for infants. Sensitivity analysis showed that the consumption of vegetal products and their locally grown fractions are the most significant parameters in the exposure to PCDD/Fs in the area.     

The ecological effects of trichloroacetic acid in the environment

Trichloroacetic acid (TCAA) is a member of the family of compounds known as chloroacetic acids, which includes mono-, di- and trichloroacetic acid. The significant property these compounds share is that they are all phytotoxic. TCAA once was widely used as a potent herbicide. However, long after TCAA's use as a herbicide was discontinued, its presence is still detected in the environment in various compartments. Methods for quantifying TCAA in aqueous and solid samples are summarized. Concentrations in various environmental compartments are presented, with a discussion of the possible formation of TCAA through natural processes. Concentrations of TCAA found to be toxic to aquatic and terrestrial organisms in laboratory and field studies were compiled and used to estimate risk quotients for soil and surface waters. TCAA levels in most water bodies not directly affected by point sources appear to be well below toxicity levels for the most sensitive aquatic organisms. Given the phytotoxicity of TCAA, aquatic plants and phytoplankton would be the aquatic species to monitor for potential effects. Given the concentrations of TCAA measured in various soils, there appears to be a risk to terrestrial organisms. Soil uptake of TCAA by plants has been shown to be rapid. Also, combined uptake of TCAA from soil and directly from the atmosphere has been shown. Therefore, risk quotients derived from soil exposure may underestimate the risk TCAA poses to plants. Moreover, TCE and TCA have been shown to be taken up by plants and converted to TCAA, thus leading to an additional exposure route. Mono- and di-chloroacetic acids can co-occur with TCAA in the atmosphere and soil and are more phytotoxic than TCAA. The cumulative effects of TCAA and compounds with similar toxic effects found in air and soil must be considered in subsequent terrestrial ecosystem risk assessments.     

Toxicological Assessment of Wastewater and Runoff from the Baikal Pulp and Paper Mill

Russian Journal of Ecology -     

贫困地区可持续发展指标体系及其综合评估--以湖南湘西贫困地区为例

本文依据贫困地区可持续发展固有的制约因素，特殊的内涵与目标，首次利用压力（Pressure)——状态（State)——响应（Respons)模型，构建了贫困地区可持续发展指标体系，并采用专家咨询与定量模型相结合的方法，对湖南湘西贫困地区可持续发展水平作了实证评估与分析。     

生态系统服务功能及其价值核算

生态系统服务功能是指生态系统服务与生态系统功能的综合，指生态系统与生态过程所形成及所维持的人类赖以生存的自然环境条件与效用，生态系统服务功能对于人类生存发展具有重要的价值，应该在社会经济体系中得以体现，本文探讨了生态系统服务功能的类型，价值核算方法与理论及其应用研究在完善国民经济核算体系、促进可持续发展等方面的重要意义，并对今后发展进行了展望。     

城市发展质量的综合评价--以江苏省13个省辖市为例

在城市发展质量评价指标体系构建的基础上,依据一定的规则确定各评价指标的目标值,根据综合评价方法,对江苏省13个省辖市2000-2002年各城市发展质量进行综合分析.提出测算城市质量系统间协调发展程度的一般计量模型,根据此模型及城市发展质量综合评价的结论,分别研究了13个城市在近三年的城市化进程中,城市质量系统发展的协调性.     

Assessment of contamination by heavy metals and petroleum hydrocarbons in sediments of Montevideo Harbour (Uruguay)

As part of the first environmental assessment within Montevideo Harbour, in summer and winter of 1998, sediments samples were collected at eight locations to determine the spatial distribution of anthropogenic pollutants. Muddy sediments with high organic matter content dominate the study area. Heavy metal levels indicated that sediments were highly polluted with Zn (overall mean: 312+/-102 microg g(-1) dry sediment), Pb (85+/-31), Cu (89+/-25), Cr (162+/-62), and Hg (0.63+/-0.3) and moderately with Ni (30+/-2) and Ag (1.2+/-0.4). Depending on location and season, aliphatic hydrocarbons reached from 21 to 120 microg g(-1), while the unresolved complex mixture represented up to 76% of the total aliphatic fraction. Total PAH concentrations ranged from 1.56 to 90.44 microg g(-1); except at one location, petroleum derivatives were identified as main local source. The results pointed out that almost all the harbour area presented some substances that can cause adverse biological effects, especially in the inner region where all metals are above PEL levels. Principal components analysis confirmed that the inner harbour region is most severely affected by the pollutants and it was possible to differentiate three regions according to their environmental quality.     

岷江上游生态脆弱性评价

岷江上游流域是我国典型的生态脆弱区之一,由于地质变化频繁、高差显著、气候干旱,加上人为活动影响,生态脆弱性的表现十分明显。通过对其生态环境脆弱性因素及成因机制的分析,构建了由土地生产力、地表起伏度、干燥度指数、土壤侵蚀强度、草场退化荒漠化率、物种消失率等14个指标组成的岷江上游生态脆弱性的评价指标体系;根据本地区生态环境现状、全国和四川省情况及奋斗目标,建立了Ⅰ到Ⅲ级的评价标准体系;利用模糊数学聚类方法对评价指标进行分析计算,得出了岷江上游生态环境为第Ⅲ级,即生态环境非常脆弱的结论。评价结果符合岷江上游地区的生态环境状况。