磷石膏堆场区域水环境中主要污染物分布特征及其风险评价

分析了摆纪磷石膏堆场区域水环境中污染物的分布特征,对地表水、地下水水质进行了风险评价。研究结果表明：堆场渗滤液中TP、F^-、SO₄^2-、Mn、As、Cr、Zn、Cd、Pb、Cu构成渗滤液的主要污染物,含量分别是《地表水环境质量标准》Ⅲ类或规定水质标准限值的29 814.9倍、2 775.3倍、18.2倍、493.2倍、351.8倍、131.6倍、12.8倍、8.0倍、3.4倍和1.32倍。地表水、地下水采样点中TP较高的采样点分布在马场坪镇段及堆场附近;水体中F^-、SO₄^2-及重金属含量超标的采样点主要分布在马场坪镇街道段、发财洞区域及堆场附近;堆场水体中重金属元素超标的仅有Mn元素。单因子污染评价结果表明,仅Mn元素在马场坪镇街道段及堆场附近超出低污染水平,其他重金属造成污染的风险较低,处于低污染水平。Pn风险评价结果显示,23个采样点均处于无污染水平,水质状况良好。     

模糊综合评判法在区域土壤环境重金属污染评价中的应用

应用模糊数学中的模糊综合评判法,对华东某一区域土壤环境中的重金属污染程度进行了评价,运用多因子共同作用机理,对土壤环境质量的分级问题进行了探讨。     

颗粒物CEMS的取样问题和基本分析技术

主要介绍了颗粒物CEMS在实际应用中的取样和基本分析技术，着重强调了颗粒物分层对取样点位的影响，以及保持颗粒物特性和尺寸分布相对稳定在基于光学技术的颗粒物CEMS应用中的重要性。     

区域开发战略环境影响评价总体思路与技术要点

以内蒙古"十一五"规划战略环境影响评价为例,分析了战略环境影响评价与建设项目环境影响评价的差异,提出了战略环境影响评价是从"决策-源头-过程-末端"的全过程评价;其技术要点是突出区域环境和经济社会协调发展为核心的总体思路,重点把握战略环境影响评价6大特性即整体性、区域性、特色性、科学性、前瞻性和可操作性;其技术方法主要包括战略决策失灵分析法、战略决策灰色分析法、环境影响矩阵识别法、产业关联和物流分析等定性方法,以及GIS技术平台的图层叠置法、承载压力度分析、情景分析和模拟分析等定量方法.     

辽阳石油化纤公司燃煤热电厂环境影响评价

本文介绍了对辽阳石油化纤公司工业区污染源系统、环境现状系统、燃煤热电厂工程系统的环境影响预测评价,主要介绍了大气与地表水的评价,最后分析得出评价结果。     

浅析环境检测中地表水检测现状与发展

地表水质对于人们的健康和所在地区经济发展起到了重要的作用。对地表水检测的现状进行分析,并对地表水检测的发展方向展开探讨。     

区域环境大气SO2浓度空间分布特征研究

应用相关光谱仪和脉冲荧光分析仪流动监测区域大气SO2空间分布，探讨影响SO2分布的因素及负荷量与地面浓度的相关性。     

火电建设项目环境影响评价基础数据库建设方案与应用

针对火电建设项目环境影响评价的特点，提出了火电建设项目环境影响评价基础数据库的资料入库格式和内容要求。结合数据库的分类统计和GIS地理信息系统的空间分析功能，提出了基础数据库的数据处理与统计分析及数据库应用系统的建设方案，并得到初步应用。     

高级氧化技术处理水中人工甜味剂的研究进展

介绍了几个国家在地表水、污水处理厂进出水等水环境中检测出的人工甜味剂的含量,简介了人工甜味剂对人体的危害,综述了基于臭氧氧化和紫外光照射的高级氧化技术处理水中人工甜味剂的研究进展,剖析了人工甜味剂的降解产物和降解路径以及在降解过程中的矿化效果和毒性变化,对后续的研究方向进行了展望。     

随机游动扩散模式在区域大气环境影响评价中的应用

介绍随机游动扩散模式的基本思想以及在区域大气环境影响评价中的应用。     

Integration of the Pesticide Impact Rating Index with a Geographic Information System for the Assessment of Pesticide Impact on Water Quality

The pesticide impact rating index (PIRI) has been integrated with a Geographic Information System (GIS) to enable regional assessment of pesticide impact on groundwater and surface water resources. The GIS version of PIRI (PIRI-GIS) was used to assess the impact of pre-planting atrazine use in the pine plantations on the Gnangara Mound, Western Australia. The impact on groundwater was found to be spatially variable, mainly dependent on soil type and depth to groundwater, because land use variables were spatially constant. Areas with the greatest impact on groundwater were those where the soil had a low sorption capacity for atrazine. Knowledge of the spatial distribution of the sorption coefficient based on organic carbon (K _oc) for atrazine was found to significantly improve the results from PIRI-GIS. Average values for K _oc (i.e. based on overseas data) were too low for most of the local soil types, resulting in a general overestimation of pesticide impact on groundwater resources, but an underestimation of impact in areas that should be of greatest concern (i.e. where the soil has a low sorption capacity for atrazine).     

Pesticide Impact Rating Index – A Pesticide Risk Indicator for Water Quality

Pesticide users, natural resource managers, regulators, government agencies and many others are concerned about the off-site impact of pesticides on the environment. Systematic methods of the assessment of potential risk of pesticides to environmental components can serve as valuable tools in decision making and policy formulation. Simple risk indicators have been developed which cover a range of scenarios such as toxicity to organisms, health of farm workers, consumer health, and residues in harvested produce. The authors have developed a software package named Pesticide Impact Rating Index (PIRI) that outputs an improved pesticide risk indicator for water quality. PIRI is a standalone, user-friendly, platform-independent program. It can be used to (i) rank pesticides in terms of their relative pollution potential to groundwater or surface water, and (ii) to compare different land uses in a catchment or at a regional scale in terms of their relative impact on water quality. It is based on pesticides use; the pathway through which the pesticides are released to the water resources (drift, runoff, erosion, leaching) and the value of the water resources threatened. Each component is quantified using pesticide characteristics (including toxicity to organisms at different trophic levels, i.e. fish, daphnia, algae, etc.), environmental and site conditions (e.g. organic carbon content of soil, water input, slope of land, soil loss, recharge rate, depth of water table, etc.). This paper describes two case studies of the application of PIRI in Australia. The comparison of the risk assessment by PIRI on these revealed that PIRI correctly estimated the pollution potential of pesticides in greater than 80% of cases. A GIS version of PIRI is described in a companion paper in this volume. An erratum to this article is available at .     

Landfills in Jiangsu province, China, and potential threats for public health: leachate appraisal and spatial analysis using geographic information system and remote sensing

Waste disposal is of growing environmental and public health concern in China where landfilling is the predominant method of disposal. The assessment of potential health hazards posed by existing landfills requires sound information, and processing of a significant amount of spatial data. Geographical information system (GIS) and remote sensing (RS) are valuable tools for assessing health impacts due to landfills. The aims of this study were: (i) to analyze the leachate and gas emissions from landfills used for domestic waste disposal in a metropolitan area of Jiangsu province, China, (ii) to investigate remotely-sensed environmental features in close proximity to landfills, and (iii) to evaluate the compliance of their location and leachate quality with the relevant national regulations. We randomly selected five landfills in the metropolitan areas of Wuxi and Suzhou city, Jiangsu province, established a GIS database and examined whether data were in compliance with national environmental and public health regulations. The leachates of the sampled landfills contained heavy metals (Pb, As, Cr(6+) and Hg) and organic compounds in concentrations considered harmful to human health. Measured methane concentrations on landfill surfaces were low. Spatial analysis of the location of landfills with regard to distance from major water bodies, sensible infrastructure and environmental conditions according to current national legislation resulted in the rejection of four of the five sites as inappropriate for landfills. Our results call for rigorous evaluation of the spatial location of landfills in China that must take into consideration environmental and public health criteria.     

Quantifying Diffuse Pollution Sources and Loads for Environmental Quality Standards in Urban Catchments

The paper explores the application of a unit area loading (UAL) approach to address the requirements of the US Clean Water Act (CWA) and the EU Water Framework Directive (WFD) for the identification and quantification of diffuse urban pollution sources. The UAL approach defines the spatial distribution of pollutant loadings within an urban catchment as a basis for the assessment of in-stream hazards and the implementation of source control BMP measures. Calculated annual outflow concentrations for a specific catchment for two pollutants, zinc and hydrocarbons, illustrate the different levels of dilution/control, which can be required to achieve receiving water quality standards and objectives. Methodological issues relating to traditional volume-concentration probabilistic modelling on which the UAL approach is based are discussed, and the application of the UAL approach to non-point diffuse pollution load management is reviewed.     

Multi-criteria GIS-based siting of an incineration plant for municipal solid waste

Siting a municipal solid waste (MSW) incineration plant requires a comprehensive evaluation to identify the best available location(s) that can simultaneously meet the requirements of regulations and minimise economic, environmental, health, and social costs. A spatial multi-criteria evaluation methodology is presented to assess land suitability for a plant siting and applied to Santiago Island of Cape Verde. It combines the analytical hierarchy process (AHP) to estimate the selected evaluation criteria weights with Geographic Information Systems (GIS) for spatial data analysis that avoids the subjectivity of the judgements of decision makers in establishing the influences between some criteria or clusters of criteria. An innovative feature of the method lies in incorporating the environmental impact assessment of the plant operation as a criterion in the decision-making process itself rather than as an a posteriori assessment. Moreover, a two-scale approach is considered. At a global scale an initial screening identifies inter-municipal zones satisfying the decisive requirements (socio-economic, technical and environmental issues, with weights respectively, of 48%, 41% and 11%). A detailed suitability ranking inside the previously identified zones is then performed at a local scale in two phases and includes environmental assessment of the plant operation. Those zones are ranked by combining the non-environmental feasibility of Phase 1 (with a weight of 75%) with the environmental assessment of the plant operation impact of Phase 2 (with a weight of 25%). The reliability and robustness of the presented methodology as a decision supporting tool is assessed through a sensitivity analysis. The results proved the system effectiveness in the ranking process.     

A GIS-based system for allocating municipal solid waste incinerator compensatory fund

To ease the NIMBY (not in my back yard) syndrome of constructing municipal solid waste (MSW) incinerators in Taiwan, compensatory funding is widely allocated to the impacted communities to gain the acceptance and support of residents living the impacted areas. This paper presents a spatial methodology for distributing a compensatory fund more logically based on the environmental impact on each neighborhood in Taipei City. This method integrates ten impact factors, which have been proposed by a local committee, to evaluate all neighborhoods using mathematical models combined with spatial analyses in an analytic hierarchy process. The compensatory fund is distributed according to the resulting final scores. A GIS (geographic information systems)-based system has been developed to assist in assigning the final scores to the neighborhoods impacted. Results on impact factors and fund distributions are combined; they are included in an information system and displayed in spatial scales. For Taipei City, the impact of air quality during the incinerator operating period is the item of greatest concern to the surrounding residents and thus, it receives a relatively higher weight of 0.2894. As a result, high impact scores were assigned to not only those neighborhoods hosting the incinerators, but also the neighborhoods where the maximum particulate air pollutants occurred. This approach could be applicable to other MSW incinerators with similar environmental impact problems and interest in compensation schemes.     

梨园杀虫剂的环境风险评价

评价了某雪花梨栽培试验园区施用的杀虫剂对周围环境的风险性。其中包括；利用化学物质排毒系数评价法对梨园杀虫剂进行初步风险识别；非突发性水环境污染风险分析。采用瞬时点源一维河流模型对杀虫剂因事故性泄漏水体造成的风险进行预测；简要说明了杀虫剂进入土壤的途径及其对施药区和非施药区土壤的危害；采用高斯烟团模式，通过大气取样，对杀虫剂超常量喷施进入大气捕捞浓度分布进行统计分析，测算出杀虫剂在不同浓度范围出现的相对频率，从而鉴别其对居民点空气质量的危害几率。     

Regional Assessment of Nutrient and Pesticide Leaching in the Vegetable Production Area of Rattaphum Catchment, Thailand

Regional groundwater vulnerability maps to indicate the impact of leaching of chemicals under different management scenarios were prepared for the Rattaphum Catchment using several leaching models and GIS techniques. The Attenuation Factor (AF) model was used to simulate the leaching potential of several pesticides for selected soils in the catchment under different rates of recharge from irrigation. The LEACHN model was used to simulate the NO₃ ⁻ leaching potential and LEACHP was used to simulate leaching potential of metolachlor under different management scenarios. The results showed that only a small number of pesticides have the potential to contaminate the shallow groundwater. However, the risk of contamination with nutrients is much higher due to the mobility and conservative nature of the NO₃ ⁻. The LEACHP results indicated that the intensive use of agrochemicals in the vegetable growing area, especially during the rainy season when the groundwater is near the surface, increases the risk of pesticide contamination. The results of upscaling from the farm to the catchment scale using soil maps and GIS techniques under various management scenarios and chemical application rates showed that the most effective strategy to reduce chemical leaching is by reducing pesticide application rates and optimizing the application of irrigation water. The identification of potential high risk farms by ranking soils and agricultural practices could be used to formulate management practices that reduce pesticide contamination of the surface and ground water resources in the area.     

Environmental modelling of use of treated organic waste on agricultural land: a comparison of existing models for life cycle assessment of waste systems.

Modelling of environmental impacts from the application of treated organic municipal solid waste (MSW) in agriculture differs widely between different models for environmental assessment of waste systems. In this comparative study five models were examined concerning quantification and impact assessment of environmental effects from land application of treated organic MSW: DST (Decision Support Tool, USA), IWM (Integrated Waste Management, U.K.), THE IFEU PROJECT (Germany), ORWARE (ORganic WAste REsearch, Sweden) and EASEWASTE (Environmental Assessment of Solid Waste Systems and Technologies, Denmark). DST and IWM are life cycle inventory (LCI) models, thus not performing actual impact assessment. The DST model includes only one water emission (biological oxygen demand) from compost leaching in the results and IWM considers only air emissions from avoided production of commercial fertilizers. THE IFEU PROJECT, ORWARE and EASEWASTE are life cycle assessment (LCA) models containing more detailed land application modules. A case study estimating the environmental impacts from land application of 1 ton of composted source sorted organic household waste was performed to compare the results from the different models and investigate the origin of any difference in type or magnitude of the results. The contributions from the LCI models were limited and did not depend on waste composition or local agricultural conditions. The three LCA models use the same overall approach for quantifying the impacts of the system. However, due to slightly different assumptions, quantification methods and environmental impact assessment, the obtained results varied clearly between the models. Furthermore, local conditions (e.g. soil type, farm type, climate and legal regulation) and waste composition strongly influenced the results of the environmental assessment.     

水质评价中的宽域灰色决策法

依据灰色决策的基本原理，结合环境质量评价的实际情况，用宽域式结构建立隶属函数，提出宽域灰色决策法，并以水质评价为例进行了尝试。结果表明，宽域灰色决策法的评价结果比较符合实际状况，比模糊数学法和灰色聚类法的评价结果更为合理。