河流重油泄漏事故的应急监测

介绍了河流重油泄漏事故的应急监测,包括监测方案制定、监测点位设置、分析对象确定、跟踪监测、数据分析等。重油污染可通过监测水体中的石油类进行。监测结果表明,重油泄漏事故在短期内对水环境造成了严重影响,清除完全后,水体可逐步恢复正常。重油污染具有一定的持久性,在事发后需要对水体进行长期的跟踪监测。     

农业面源污染防治的监测问题分析

近年来,农业面源污染已成为许多国家和地区水环境质量改善的主要影响因素,开展农业面源污染监测将为深入打好污染防治攻坚战提供重要支撑。该文系统分析当前我国农业面源污染监测存在的主要问题,综合考虑国内外经验,提出如下建议:采取空间嵌套式的布局模式优化地表水环境监测点位,充分发挥环境监测的预测预报和风险评估功能;建立包括污染源、产排污系数和空间传输过程的农业面源污染全过程监测网络;定期开展土壤氮、磷养分含量评估和地下水硝酸盐氮测定和评估;建立完善数据整合与共享机制。     

近岸海域国控环境质量监测点位优化研究

近岸海域环境监测是掌握其环境质量状况,摸清污染来源和影响范围的必要手段。监测点位是环境监测的基础,监测点位优化是提高环境监测代表性的必要手段。按照《近岸海域环境监测点位布设技术规范》(HJ 730—2014)的要求,梳理了点位优化工作的基本流程,经过试优化,预计在全国将增设122个国控监测点位。其中,76个在原有监测点位中选择增设,46个按照规范要求新设。利用2013年监测结果进行插值分析,调整前后水质总体变化小,未出现颠覆性结论,同时提高了对陆源影响区域水质的监控能力。     

泸州市降水监测布点优化研究

在泸州市2016—2020年大气降水监测数据的基础上,借助聚类分析、多元方差分析等统计分析手段,对原有降水监测点位进行优化研究,并验证优化结果。在遵循《酸沉降监测技术规范》(HJ/T 165—2004)点位布设要求的前提下,建立了降水监测点位评价体系,从原有7个降水监测点位中优化筛选出3个。优化后的点位对监测结果的影响显著性均>0.05,表明优化前后全市降水数据无显著性差异,该优化方案不会影响区域整体代表性。     

山东省生态环境监测网络建设发展建议

介绍了山东省生态环境监测网络建设状况,“十三五”期间全省基本实现大气、水、土壤、噪声、生态、污染源等全覆盖,“十四五”初期优化调整了地表水、地下水、海洋、土壤等环境质量监测点位,加大了自动监测力度。通过分析当前全省监测网络建设中存在的覆盖不全面、技术不完善、服务不深入等问题,提出了环境质量监测、生态质量监测、污染源监测、应急监测等各要素的发展建议。     

机场使用除冰液的应急监测

介绍了机场除冰液污染的应急监测,包括监测方案制订、监测点位设置、分析对象确定、跟踪监测、数据分析等。监测结果表明,除冰液废液直排入河道在短期内对水环境造成了严重影响,但随着时间推移水体逐步恢复正常。机场除冰液污染的应急监测可通过监测水体中的化学需氧量进行。     

加强环境监测点位管理的思考

基于江苏省“十二五”环境质量监测网络优化调整工作,指出监测点位设置和管理工作中存在的问题,讨论了点位优化调整的原则和思路,总结监测网络调整结果,并开展点位优化调整的成效分析,提出进一步优化监测网络设置的建议。     

上海市浅层地下水在线监测技术要点

地下水在线监测技术可以实现地下水水质的高频监测,是未来发展的重要趋势。梳理国内外地下水在线监测技术研究进展,以上海市典型水文地质特征与环境质量状况为例,探讨地下水在线监测点位布设、指标筛选、监测方式及监测井设计等技术要点。首先,优化监测点位布设,对需要开展高频监测的区域或重点风险源开展在线监测,以代表性点位反映总体地下水环境质量状况。其次,综合筛选监测指标,除常规参数外,优先选取水体中的氨氮、高锰酸盐指数等作为在线监测指标,在具有潜在有机污染的区域,选取水中有机物、水中油等作为有机污染指示性指标。应进一步加强指标之间的相关性分析,为指示性指标的确立提供依据。再次,合理确定监测方式,根据取样方式以及污染源风险等级,设置相应的微型站和小型站。最后,优化监测井设计技术方案,进一步研究不同井管材质对地下水中无机或有机污染物的长期吸附(解吸)作用。     

加强环境监测点位管理的思考——以江苏省“十二五”环境监测网络调整为例

基于江苏省"十二五"环境质量监测网络优化调整工作,指出监测点位设置和管理工作中存在的问题,讨论了点位优化调整的原则和思路,总结监测网络调整结果,并开展点位优化调整的成效分析,提出进一步优化监测网络设置的建议。     

等离子发射光谱法测定铝在驻马店市地表水铝含量调查中的应用

按照地表水监测技术规范(HJ/T91-2002),对驻马店市地表水体进行采样,用等离子体发射光谱法两条铝分析线,对所采各个断面水样中的铝浓度进行分析测定,分析得出了流域内地表水中铝含量的一般特征,为下一步地表水体环境质量标准中增设铝项目的管理提供技术支持。     

遥感技术在察布查尔县土壤侵蚀调查中的应用

依据陆地卫星TM遥感影像资料,在ERDAS软件下,通过室内判读与野外调查相结合的方法,解译出土地利用类型图、植被覆盖度图、坡度图。在建立知识库的基础上,利用土壤侵蚀专家分类系统,快速获得察布查尔县土壤侵蚀分类分级状况,为今后该区域的水土保持工作提供参考和依据。     

Land cover classification with an expert system approach using Landsat ETM imagery: a case study of Trabzon

The main objective of this study is to generate a knowledge base which is composed of user-defined variables and included raster imagery, vector coverage, spatial models, external programs, and simple scalars and to develop an expert classification using Landsat 7 (ETM+) imagery for land cover classification in a part of Trabzon city. Expert systems allow for the integration of remote-sensed data with other sources of geo-referenced information such as land use data, spatial texture, and digital elevation model to obtain greater classification accuracy. Logical decision rules are used with the various datasets to assign class values for each pixel. Expert system is very suitable for the work of image interpretation as a powerful means of information integration. Landsat ETM data acquired in the year 2000 were initially classified into seven classes for land cover using a maximum likelihood decision rule. An expert system was constructed to perform post-classification sorting of the initial land cover classification using additional spatial datasets such as land use data. The overall accuracy of expert classification was 95.80%. Individual class accuracy ranged from 75% to 100% for each class.     

Integrating data-driven ecological models in an expert-based decision support system for water management in the Du river basin (Vietnam)

In this study, classification trees were combined with the Water Framework Directive (WFD)-Explorer, a modular toolbox that supports integrated water management in a river basin to evaluate the impact of different restoration measures on river ecology. First, the WFD-Explorer toolbox analysed the effect of different restoration options on the abiotic river characteristics based on the water and substance balance embedded in the simulation environment. Based on these abiotic characteristics, the biological index Biological Monitoring Working Party for Vietnam was then predicted by classification trees that were trained on biological and abiotic data collected in the Du river basin in northern Vietnam. The ecological status of streams in the basin ranged from nearly pristine headwaters to severely impacted river stretches. Elimination of point sources from ore extraction and decentralised domestic wastewater treatment proved to be the most effective measures to improve the ecological condition of the Du river basin. The combination of the WFD-Explorer results with data-driven models enabled model application in a situation where expert knowledge was lacking. Consequently, this approach appeared promising for decision support in the context of river restoration and conservation management.     

Mapping Invasive Aquatic Vegetation in the Sacramento-San Joaquin Delta using Hyperspectral Imagery

The ecological and economic impacts associated with invasive species are of critical concern to land managers. The ability to map the extent and severity of invasions would be a valuable contribution to management decisions relating to control and monitoring efforts. We investigated the use of hyperspectral imagery for mapping invasive aquatic plant species in the Sacramento-San Joaquin Delta in the Central Valley of California, at two spatial scales. Sixty-four flightlines of HyMap hyperspectral imagery were acquired over the study region covering an area of 2,139 km² and field work was conducted to acquire GPS locations of target invasive species. We used spectral mixture analysis to classify two target invasive species; Brazilian waterweed (Egeria densa), a submerged invasive, and water hyacinth (Eichhornia crassipes), a floating emergent invasive. At the relatively fine spatial scale for five sites within the Delta (average size 51 ha) average classification accuracies were 93% for Brazilian waterweed and 73% for water hyacinth. However, at the coarser, Delta-wide scale (177,000 ha) these accuracy results were 29% for Brazilian waterweed and 65% for water hyacinth. The difference in accuracy is likely accounted for by the broad range in water turbidity and tide heights encountered across the Delta. These findings illustrate that hyperspectral imagery is a promising tool for discriminating target invasive species within the Sacramento-San Joaquin Delta waterways although more work is needed to develop classification tools that function under changing environmental conditions.     

利用流式影像术(FlowCAM)分析淡水浮游藻类群落特征——以北京城区主要河流为例

浮游藻类是水生态系统的重要初级生产者,对其进行分类鉴定和定量分析是开展生态研究的基础.选取北京城区主要河流为研究对象,于2020年6—7月(夏季)、10月(秋季)对北运河水系22个站位的表层水进行采样调查,探究利用流式影像术(FlowCAM)分析浮游藻类群落结构的可行性.结果表明,浮游藻类的细胞丰度和粒径组成均存在着明...     

New insight into defining the lakes of the southern Baltic coastal zone

There exist many classification systems of hydrographic entities such as lakes found along the coastlines of seas and oceans. Each system has its advantages and can be used with some success in the area of protection and management. This paper aims to evaluate whether the studied lakes are only coastal lakes or rather bodies of water of a completely different hydrological and hydrochemical nature. The attempt to create a new classification system of Polish coastal lakes is related to the incompleteness of lake information in existing classifications. Thus far, the most frequently used are classifications based solely on lake basin morphogenesis or hydrochemical properties. The classifications in this paper are based not only on the magnitude of lake water salinity or hydrochemical analysis but also on isolation from the Baltic Sea and other sources of water. The key element of the new classification system for coastal bodies of water is a departure from the existing system used to classify lakes in Poland and the introduction of ion-“tracking” methods designed to identify anion and cation distributions in each body of water of interest. As a result of the work, a new classification of lakes of the southern Baltic Sea coastal zone was created. Featured objects such as permanently brackish lakes, brackish lakes that may turn into freshwater lakes from time to time, freshwater lakes that may turn into brackish lakes from time to time, freshwater lakes that experience low levels of salinity due to specific incidents, and permanently freshwater lakes. The authors have adopted 200 mg Cl^? dm^?3 as a maximum value of lake water salinity. There are many conditions that determine the membership of a lake to a particular group, but the most important is the isolation lakes from the Baltic Sea. Changing a condition may change the classification of a lake.     

An expert system for assessing safety and security of heterogeneous public water sources

We have implemented a diagnostic system designed to advise on the likely causes of sanitary problems with public water sources. The approach to the problem makes extensive use of rule based expert systems and multi media information (maps, data, text, expert knowledge). The rules were based on actual water survey data, with a weighting scheme designed to highlight causes of health risks approximately in reverse order of importance (where such order may be presumed to exist). Out put is a vailable in one of several languages.     

An expert system for water quality modelling

The RAISON-micro (Regional Analysis by Intelligent System ON a micro-computer) expert system is being used to predict the effects of mine effluents on receiving waters in Ontario. The potential of this system to assist regulatory agencies and mining industries to define more acceptable effluent limits was shown in an initial study. This system has been further developed so that the expert system helps the model user choose the most appropriate model for a particular application from a hierarchy of models. The system currently contains seven models which range from steady state to time dependent models, for both conservative and nonconservative substances in rivers and lakes. The menu driven expert system prompts the model user for information such as the nature of the receiving water system, the type of effluent being considered, and the range of background data available for use as input to the models. The system can also be used to determine the nature of the environmental conditions at the site which are not available in the textual information database, such as the components of river flow. Applications of the water quality expert system are presented for representative mine sites in the Timmins area of Ontario.     

China's water risk assessment and industrial source analysis based on the localization of WWF water risk assessment tools

The WWF water risk assessment tool is a universal methodology, as the establishment of its indicators fully consider various types of natural and social environments. When this tool is applied to China, a large country with a complex water situation in a period of rapid development, appropriate localization adjustment is necessary to ensure that indicators are generally stable and assessment results are internationally comparable. Based on the localization of WWF water risk assessment tools, this is the first application assessing water risk in China in terms of physical risks, regulatory risks and reputation risks. It explores the sources of China's water risk from industrial sectors and constructs a classification index system according to the degree of water dependence and the level of water pollution. Using the classification index system and relevant data, we find the key industrial sectors, enterprises and production processes to reduce water risk in China's ten major water valleys and offer some effective and practical management suggestions. Due to the large regional differences of water risk-bearing capacity in China, the assessment results should be interpreted in combination with specific national conditions of China and emphasis should be laid on key areas and industries.     

Outline of an environmental information system

The development of an environmental information system necessitates a phased implementation approach. Phase 1 includes the elements that are traditionally viewed as comprising monitoring and assessment activities. Analysis tools for interpretive work are identified including statistics, modelling, and GIS. Phase 2 follows the information flow beyond project reporting to examine the process of decision making. The inclusion of other forms of knowledge beyond the strictly scientific is necessary where the development of multi-sectoral decisions must be made. Phase 3 extends the decision-making process to the policy development and implementation field. This is accomplished by the inclusion of expert systems as advanced decision support systems which enable the manager to test various hypotheses and policy options prior to commitment. In addressing water resource issues, the importance of setting achievable and enforceable sectoral criteria and standards for industrial, agricultural, and drinking water supplies is discussed with reference to both usage and effluent criteria. Quality assurance and control is an area which must be critically addressed in any water resource project. The implementation of quality control programs must extend from the field sampling procedures and laboratory standard methods to both inter- and intra-laboratory tests and the development and maintenance of databases.