青岛近岸海域生态环境质量综合评价

基于国外近岸海域生态质量状况综合评价方法,结合国内海洋环境质量评价的研究现状,由生物、水质、沉积物指标和栖息地变化情况构成青岛近岸海域生态环境质量综合评价指标体系,并选取合适的评价模型,同时通过研究海域主要污染物的分布情况对评价结果进行反向验证。结果表明,青岛近岸海域生态质量状况综合评价等级为一般,受人为扰动的影响较大;该方法能够较好地反映主要的人为环境压力和风险因子,同时对潜在的污染因子有一定的预警作用。     

锦州湾海域生态系统健康状况评价

基于结构功能指标体系评价法,利用层次分析法构建锦州湾海域生态系统健康评价指标体系,并选择2005—2009年8月生态调查数据对其进行初步的定量评价。结果表明,可以通过海洋化学指标、生态学指标和社会经济学指标三大类33个指标来建立锦州湾生态系统健康评价指标体系;2005—2009年8月锦州湾生态系统的整合健康指数依次分别为1.01、1.90、2.00、1.45和1.10,均低于系统健康指数值2,锦州湾海域生态系统连续5年一直处于亚健康状态,且从目前海域的污染现状来看,这一海域的水质、沉积物和生物体污染均比较严重,要修复其生态功能需要投入巨大的物质和能量。     

俚岛湾海域砷的分布特征及污染评价

以威海俚岛湾养殖区为研究对象,调查研究了俚岛湾海域表层海水和沉积物中总砷的分布特征,并综合评价了砷的污染状况及潜在生态风险。俚岛湾海域表层海水总砷浓度为1.78~2.78μg/L,平均浓度为2.20μg/L,比大洋水略高,俚岛湾海域海水水质较好,未受到砷污染;海水中砷的季节变化为夏季较高、秋冬季基本稳定、春季最低。俚岛湾海域表层沉积物中砷的平面分布呈现出由近岸向远岸降低的趋势,砷含量的年际变化甚微,基本保持稳定的水平;采用潜在生态风险指数法和重金属质量基准法对沉积物进行评价。评价结果表明,该海域表层沉积物中砷污染水平较低,属于低潜在生态风险。     

2019年连云港近岸海域水质环境分析与综合评价

于2019年春、夏、秋季对连云港近岸海域海水中营养盐、重金属等共19项指标进行3个航次采样监测。依照海水水质评价标准统计分析站点达标率,采用有机污染物指数法和富营养化指数法,对调查海域海水有机污染、营养水平等进行综合评价。结果表明:2019年连云港市海域站位全年达标率为86.4%,达标面积为6543 km²,占管辖海域面积的98.0%,水质质量较往年有所好转,主要超标物为无机氮、活性磷酸盐。调查海域海水的有机污染和富营养化程度均处于良好状况,近岸海水水质总体上要劣于远岸水质,且随季节的更替呈现波动性变化。     

南通市近岸海域主要海产品重金属残留监测与评价

对南通市近岸海域捕捞的多获性鱼类6种,甲壳类2种,养殖的贝类7种,藻类2种共17种海产品158份样品重金属残留进行调查分析。采用样品超标率、内梅罗综合污染指数等指标对海产品重金属残留状况进行综合评价,结果表明,南通市近岸海域海产品中人工养殖的贝类、藻类重金属污染大于捕捞的鱼类、甲壳类,重金属及As在海产品中的残留为:Cd、As污染>Pb、Hg、Cu、Cr。     

江苏近岸海域富营养化现状评价与成因分析

应用综合污染指数法和富营养化指数法评价了2010年度江苏近岸海域水质状况。结果表明,50%的海水水质测点已显现出不同程度的富营养化迹象;影响江苏近岸海域的首要污染物为无机氮和活性磷酸盐,二者污染分担率之和近50%;现阶段造成江苏近岸海域水体富营养化的主要因素来源于入海河流和直排海污染源的氮磷输入,与"十五"末相比,全省主要入海河流TN排放量增长约284%,TP排放量增长约451%。     

基于改进的多目标决策的水环境质量综合评价

在对水环境质量综合评价中,多目标决策-理想区间法解决了水环境质量评价标准是区间而非点的缺陷。但是在计算监测点到各理想区间向量的距离时,各水环境质量指标权重直接影响综合评价的结果,通常的确定方法是简单的假设各水环境质量指标的权重相等,这与实际情况相悖。为了解决这一问题,提出了将超标法用于多目标决策法中,利用超标法确定各水环境质量指标的权重,然后将其应用于多目标决策-理想区间法来分析水环境质量等级。并将改进后的多目标决策-理想区间法应用于珠江口及邻近海域的水环境中。基于超标法确定权重的多目标决策-理想区间法与聚类分析相比更有效,与等权重的多目标决策-理想区间法相比,更能体现水环境的污染状况,可应用于各种环境因子的综合评价中。     

MEG法在典型高原山地工业园区有机污染评价中的应用研究

对环境空气质量的客观评价能真实反映环境管理成效。复杂的大气污染形势和评价体系的不完善对环境空气质量评价工作提出了新的要求。就目前国内外环境质量标准不健全、评价体系不完善等主要问题进行了简要探析,探讨了MEG法在典型高原山地工业园区有机污染物综合评价中的应用,针对MEG法为核心建立的评价体系得到了单点位主要污染因子,找出了不同点位污染程度,对国内当下环境空气质量评价现状,提出了意见和建议。     

天津近岸海域水污染评价

为了认识天津近岸海域水质主要污染指标及污染物随年份的演变规律,根据1996年—2007年天津近岸海域水质监测数据,对天津近岸海域水污染状况进行了时空分析。结果表明,天津近岸海域水质总体呈恶化趋势,劣Ⅳ类海域面积比例呈增加趋势,主要污染因子为无机氮。提出,应确立治海先治陆的思想理念,建立陆源污染排放总量控制制度;加强对海上作业的管理,加强保护开发海域的生态环境。     

烟台市近岸海域生物残毒调查研究

通过对烟台市近岸海域的人海污染源及环境质量状况进行的综合调查，结果表明烟台市近岸海域生物残毒与20世纪80年代相比无明显变化，基本上未受到重金属的污染，海域中软体动物对汞、镉有很强的富集能力。     

Environmental impact assessment of a mixed tropical hardwood integrated pulp and paper mill— a case study

An overview of the environmental impact assessment (EIA) for a mixed tropical hardwood integrated pulp and paper mill in Sabah, Malaysia, is presented. The EIA before the mill construction included, among other things, a detailed baseline study and also environmental impact predictions based on certain mill design and pollution abatement measures. Subsequent to mill construction (during the operational stage), data were gathered to determine the quality of the ambient air as well as the effluent and the receiving bay water quality. These post-construction monitoring results were then compared with the earlier impact predictions, and showed, in general, a good correspondence.     

Development of a New Approach to Cumulative Effects Assessment: A Northern River Ecosystem Example

If sustainable development of Canadian waters is to be achieved, a realistic and manageable framework is required for assessing cumulative effects. The objective of this paper is to describe an approach for aquatic cumulative effects assessment that was developed under the Northern Rivers Ecosystem Initiative. The approach is based on a review of existing monitoring practices in Canada and the presence of existing thresholds for aquatic ecosystem health assessments. It suggests that a sustainable framework is possible for cumulative effects assessment of Canadian waters that would result in integration of national indicators of aquatic health, integration of national initiatives (e.g., water quality index, environmental effects monitoring), and provide an avenue where long-term monitoring programs could be integrated with baseline and follow-up monitoring conducted under the environmental assessment process.     

Water quality planning and management for Dapeng bay,China

The pollution sources around the Dapeng bay and the current water quality of the bay are presented. Two-dimensional mathematical models for modelling the tidal flow and pollutant concentration fields have been developed and used to predict the water quality impact generated by coastal economic development of the area. Water quality planning for the bay is conducted and some managerial measures for environmental protection are put forward. The results show that at present there is minimal pollution, and the water quality is good. If the region around the bay is to be developed as proposed, it would have minor impact on the marine water quality. The aim is to have the water quality higher than that of Class II standard in National Marine Water Quality Standard of China (NMWQSC). In order to maintain the present condition of the bay, the ecological equilibrium around the bay must be preserved.     

基于环境质量监测的区域环境质量综合评价体系

环境质量的优劣直接关系到人类的生存和发展,如何对某一区域环境质量进行科学的综合评价对环境管理具有重要的理论和现实意义。根据环境质量评价指标的选择原则,以环境质量监测为基础,通过征求专家意见确定了能反映区域环境质量特性的指标及其权重,建立了区域环境质量的综合评价体系。并用此综合评价体系对四川省6个地区的环境质量进行了评价,计算了区域环境质量综合指数,结果表明,该评价体系简单、方便、适用性强且易于操作,为科学地评价和考核区域环境质量提供研究方法。     

水生态环境质量评价体系研究

流域水生态环境质量评价体系是为流域环境管理提供基础数据,协助管理者开展流域保护措施的重要技术支持。该文深入剖析了发达国家典型水生态环境质量评价体系,归纳分析了其体系框架、构成特点、方法适用性和借鉴意义。结合前期研究基础,对评价体系的技术内容进行了完善和补充,明确了参照点位的选择原则,补充了评价方法选择的技术路线,提出了增设和实施不同监测计划的方案,最终提出生态环境质量评价技术体系框架。     

Assessment of chlorophyll-a variations in high- and low-flow seasons in Apalachicola Bay by MODIS 250-m remote sensing

Chlorophyll-a (chl-a) is considered as a primary indicator for water quality and foods for oyster growth in Apalachicola estuarine ecosystem. Assessment of chl-a concentration variation in response to river inflow is important for estuarine environmental research and management. In this study, remote sensing analysis has been conducted to evaluate the effects of river inflow on chlorophyll concentrations in Apalachicola Bay of Florida in the northeast Gulf of Mexico. A remote sensing model for chl-a was improved and applied to map spatial distributions of chl-a by using Moderate Resolution Imaging Spectroradiometer (MODIS) 250-m resolution imageries in high-flow and low-flow seasons in 2001 and 2008. Chl-a values approximately ranged from the minimum 6 μg/l to the maximum 29 μg/l in the study period. Maximum chl-a concentration in high-flow season was almost twice above that in low-flow season. The averaged mean and minimum chl-a level in the high-flow season were approximately 42 and 28 % higher than those in low-flow season, respectively. The remote sensing mapping of chl-a was able to show spatial variations of chl-a in the entire bay under different flow conditions, which indicated its advantage over the traditional field data sampling for monitoring water quality over a large area of estuary. The MODIS 250-m remote sensing regression model presented from this study can be used to support monitoring and assessment of the spatial chl-a distribution in the bay for environmental research and management in Apalachicola Bay.     

A Knowledge-Based Approach to the Assessment of Watershed Condition

The Ecosystem Management Decision Support (EMDS) system is an application framework for knowledge-based decision support of ecological assessments. EMDS integrates geographic information system and knowledge base system technologies to provide an analytical tool for environmental assessment and monitoring. The basic objective of EMDS is to improve the quality and completeness of environmental assessments and the efficiency with which they are performed. The USDA Forest Service and the U.S. Environmental Protection Agency have cooperatively developed an EMDS knowledge base for watershed condition assessment. Specifically, this knowledge base evaluates watershed processes, patterns, general effects of human activity, and fisheries habitat suitability. Such assessments are based on spatially explicit input data concerning current conditions and reference conditions which are subsequently interpreted by user-defined "fuzzy" membership functions. In this paper we describe basic components of our knowledge base for assessing watershed condition and illustrate its application within northern Idaho and northwestern Montana.     

Using diatoms as quality indicators for a newly-formed urban lake and its catchment

Periphytic diatoms were studied to evaluate the water quality of a newly created lake, formed by the enclosure of the formerly tidal Cardiff Bay (Wales, UK), and the effects of two inflowing rivers which drain densely populated and industrialised catchments. Seven sites in Cardiff Bay and two locations on the inflowing rivers were monitored for diatoms and water chemistry over 2 years. Water quality was assessed using a revised UK trophic diatom index (TDI) and new methods to determine ecological quality ratios and ecological status classes as required by the EU Water Framework Directive. Diatom assemblages reflected spatiotemporal variations in environmental conditions between the rivers and Cardiff Bay and within the bay. In the bay, diatoms reflected differences in river quality and possibly local pollution in certain areas of the lake. High values of the TDI indicated eutrophic to hypertrophic conditions in both rivers and in the bay and diatoms indicated poor ecological status.     

Cumulative effect assessment in Canada: a regional framework for aquatic ecosystems

Sustainable development of the aquatic environment depends upon routine and defensible cumulative effects assessment (CEA). CEA is the process of predicting the consequences of development relative to an assessment of existing environmental quality. Theoretically, it provides an on-going mechanism to evaluate if levels of development exceed the environment's assimilative capacity; i.e., its ability to sustain itself. In practice, the link between CEA and sustainable development has not been realized because CEA concepts and methods have developed along two dichotomous tracks. One track views CEA as an extension of the environmental assessment (EA) process for project developments. Under this track, stressor-based (S-B) methods have been developed where the emphasis is on local, project-related stressors, their link with aquatic indicators, and the potential for environmental effects through stressor-indicator interactions. S-B methods focus on the proposed development and prediction of project-related effects. They lack a mechanism to quantify existing aquatic quality especially at scales broader than an isolated development. This limitation results in the prediction of potential effects relative to a poorly defined baseline state. The other track views CEA as a broader, regional assessment tool where effects-based (E-B) methods specialize in quantification of existing aquatic effects over broad spatial scales. However, the predictive capabilities of E-B methods are limited because they are retrospective, i.e., the stressor causing the effect is identified after the effect has been measured. When used in isolation, S-B and E-B methods do not address CEA in the context necessary for sustainable development. However, if the strengths of these approaches were integrated into a holistic framework for CEA, an operational mechanism would exist to better monitor and assess sustainable development of our aquatic resources. This paper reviews the existing conceptual basis of CEA in Canada including existing methodologies, limitations and strengths. A conceptual framework for integrating project-based and regional-based CEA is presented.