Widespread microbiological groundwater contamination in the South-eastern Salento (Puglia-Italy)

In the Salento peninsula (Puglia Region, South-East Italy), underground waters are a fundamental resource for the population because they constitute the principal reservoir for drinking water and irrigation. They are, however, affected by overexploitation. The risk factors in the Salento arise mainly from anthropic activities, especially tourism and agriculture (leaking wells, sewage and inadequate waste disposal procedures). The Southern Salento is recognized to be at high risk of pathologies characterised by oral-faecal transmission. From 2001 to 2009 the incidence of typhoid fever in the Salento was 12.11/100,000 inhabitants as against 2.91 in Italy. Enteritis caused by rotaviruses is an important cause of hospitalization of paediatric-aged children in the Salento, with high social costs. An effective monitoring system for the conservation and management of water bodies and the protection of public health is therefore fundamental. The present study sought to determine the microbiological and chemical-physical quality of groundwater in the Salento and to analyse the factors associated with contamination. The results indicated widespread pollution from salt and microbial contamination. Contamination from faecal microorganisms posed a significant risk of human infection in 100% of samples. Furthermore, the water was unsuitable even for irrigation in a high percentage of cases (31.8%), which is of considerable significance given that agriculture is one of the most important economic activities in the area under study. The high salt concentration was probably due to excessive extraction of water for intensive irrigation, especially in summer. Under these circumstances, some of mitigation activity is necessary. Furthermore, it would be advisable to decrease the pollution load from anthropic activities in the territory and to reduce water consumption in order to conserve groundwater resources especially.     

A Methodology for Space-Time Classification of Groundwater Quality

Safeguarding groundwater from civil, agricultural and industrial contamination is matter of great interest in water resource management. During recent years, much legislation has been produced stating the importance of groundwater as a source for drinking water supplies, underlining its vulnerability and defining the required quality standards. Thus, schematic tools, able to characterise the quality and quantity of groundwater systems, are of very great interest in any territorial planning and/or water resource management activity.This paper proposes a groundwater quality classification method which has been applied to a real aquifer, starting from several studies published by the Italian National Hydrogeologic Catastrophe Defence Group (GNDCI).The methodology is based on the concentration values of several parameters used as indexes of the natural hydro-chemical water condition and of potential man-induced modifications of groundwater quality. The resulting maps, although representative of the quality, do not include any information on its evolution in time. In this paper, this “stationary” classification method has been improved by crossing the quality classes with three indexes of temporal behaviour during recent years. It was then applied to data from monitoring campaigns, performed in spring and autumn, from 1990 to 1996, in the plain of Modena aquifer (central Italy). The results are reported in the form of space-time classification table and maps.     

Tailoring groundwater quality monitoring to vulnerability: a GIS procedure for network design

Monitoring networks aiming to assess the state of groundwater quality and detect or predict changes could increase in efficiency when fitted to vulnerability and pollution risk assessment. The main purpose of this paper is to describe a methodology aiming at integrating aquifers vulnerability and actual levels of groundwater pollution in the monitoring network design. In this study carried out in a pilot area in central Italy, several factors such as hydrogeological setting, groundwater vulnerability, and natural and anthropogenic contamination levels were analyzed and used in designing a network tailored to the monitoring objectives, namely, surveying the evolution of groundwater quality relating to natural conditions as well as to polluting processes active in the area. Due to the absence of an aquifer vulnerability map for the whole area, a proxi evaluation of it was performed through a geographic information system (GIS) methodology, leading to the so called “susceptibility to groundwater quality degradation”. The latter was used as a basis for the network density assessment, while water points were ranked by several factors including discharge, actual contamination levels, maintenance conditions, and accessibility for periodical sampling in order to select the most appropriate to the network. Two different GIS procedures were implemented which combine vulnerability conditions and water points suitability, producing two slightly different networks of 50 monitoring points selected out of the 121 candidate wells and springs. The results are compared with a “manual” selection of the points. The applied GIS procedures resulted capable to select the requested number of water points from the initial set, evaluating the most confident ones and an appropriate density. Moreover, it is worth underlining that the second procedure (point distance analysis [PDA]) is technically faster and simpler to be performed than the first one (GRID?+?PDA).     

A methodology for rapid assessment of the environmental status of the shallow aquifer of ��Tavoliere di Puglia�� (Southern Italy)

Anticipating the European Water Framework Directive (2000/60/EC), the Italian Government issued Legislative Decree n.152/99 which sets out rules for classifying the environmental status of national water bodies in order to achieve specific qualitative objectives by 2016. The most recent European Groundwater Directive (2006/118/EC), which was only recognized by Italy in early 2009 (Legislative Decree 30/09), requires such resources to be characterized from a qualitative standpoint and the risk of their being polluted by individual pollutants or groups of pollutants to be evaluated. This paper reports a simple methodology, based on easy-to-apply rules, for the rapid classification of groundwater, and the results of its application to the shallow aquifer of the plain of Tavoliere delle Puglie located in south Italy. Data collected during well-water monitoring campaigns carried out from 2002 to 2003 made it possible to assess the environmental status of the Tavoliere which, unfortunately, was found to be characterized by ??significant anthropic pressures on quality and/or quantity of groundwater and necessitating specific improvement actions??.     

Comparison of Nitrate Levels in Raw Water and Finished Water from Historical Monitoring Data on Iowa Municipal Drinking Water Supplies

Nitrate contamination of water sources is a concern where large amounts of nitrogen fertilizers are regularly applied to soils. Ingested nitrate from dietary sources and drinking water can be converted to nitrite and ultimately to N-nitroso compounds, many of which are known carcinogens. Epidemiologic studies of drinking water nitrate and cancer report mixed findings; a criticism is the use of nitrate concentrations from retrospective drinking water data to assign exposure levels. Residential point-of-use nitrate data are scarce; gaps in historical data for municipal supply finished water hamper exposure classification efforts. We used generalized linear regression models to estimate and compare historical raw water and finished water nitrate levels (1960s--1990s) in single source Iowa municipal supplies to determine whether raw water monitoring data could supplement finished water data to improve exposure assessment. Comparison of raw water and finished water samples (same sampling date) showed a significant difference in nitrate levels in municipalities using rivers; municipalities using other surface water or alluvial groundwater had no difference in nitrate levels. A regional aggregation of alluvial groundwater municipalities was constructed based on results from a previous study showing regional differences in nitrate contamination of private wells; results from this analysis were mixed, dependent upon region and decade. These analyses demonstrate using historical raw water nitrate monitoring data to supplement finished water data for exposure assessment is appropriate for individual Iowa municipal supplies using alluvial groundwater, lakes or reservoirs. Using alluvial raw water data on a regional basis is dependent on region and decade.     

欧盟优先水污染物与环境质量标准制定及其对我国的借鉴作用

综述了欧盟水框架指令和水政策环境质量标准指令框架下,水环境优先污染物和优先危害物质的确定方法、程序和清单,以及地表水质量标准与生物体质量标准的制定方法及监测要求。提出,我国可借鉴欧盟水框架指令和水政策环境质量标准指令,明确水环境管理和污染物控制目标,制定优先污染物筛选评估技术规范及质量标准,持续评估确定地表水优先污染物,同时,建立潜在高风险物质监测监控制度,进一步完善地表水环境质量标准的指标体系,使得水环境的保护更加科学合理。     

国家地表水环境质量评价、分析与表征系统初步构建

随着国家地表水环境质量监测网络的优化调整以及水质自动监测与采测分离手工监测相结合模式的完全确立,每个月产生数百万计的监测数据。为全面支撑海量监测数据的传输、融合、处理、挖掘、分析、表征,构建了国家地表水环境质量评价、分析与表征系统。通过在多源异构数据融合、智能化数据质量控制、多层级水质评价与统计分析、地图动态数据表征等方面的技术创新,构建了包括数据来源层、数据存储层、应用支撑层、业务应用层和表征展示层5个主要部分的系统。形成了"一个融合、两个数据库、三个应用、四个中心",实现了数据集成融合、数据共享互通、数据统计分析、水质报告生成、地图空间表征、综合大屏展示等6个方面主要功能。应用于国家地表水环境监测评价业务工作,能够及时、直观、准确、全面地展现全国地表水环境质量状况,为全国地表水环境质量管理决策、业务处理、科学研究提供有效的信息支撑。     

A Compartmental Model for Stable Time-Dependent Modeling of Surface Water and Groundwater

Water resource system planners make decisions that guide water management policy. The fundamental tools for assessing management and infrastructure strategies are combined hydro-economic models of river basins (RBHE models). These models have improved the economic efficiency of water use in situations of competition for scarce water resources. In RBHE models, a groundwater model is coupled with surface water models of the various water resources. Today, the groundwater models used in an RBHE model can be of two types: cell models or numerical models. Cell models are easy to use, but they are too simple to realistically describe the geology and hydrology of the area under investigation. Numerical models, in contrast, are closer to the physical behavior of the aquifer. However, the vast quantity of data to be analyzed makes them impractical for many management scenarios. Moreover, the calibrations of these high-resolution models are generally difficult and sensitive to the variation of parameters, especially when boundary conditions are dynamic. This is the case when dynamic river data or dynamic surface lake data are present. In this work, a compartmental cell model is built on the hydrogeology of the aquifer. In this approach, the hydrogeology of the aquifer and the dynamic boundary conditions are treated with separate models. A general mathematical formulation is presented where the calibration stage, the validation stage, and the prediction stage are formulated as a series of sub-model calibrations and solved using a general least squares routine. With this approach, it becomes possible to treat both the water level and the pumping rate in each cell as variables to be predicted. In most of the models, the pumping rates are known and the goals of the computation are to estimate the groundwater level. However, when for political or technical reasons access to some of the wells is difficult, the pumping rates are only partially known. Then, both groundwater levels and pumping rates are variables to be predicted by the groundwater model. A computer program was developed using MATLAB, with a Visual Basic graphical user interface using COM technology to access the advanced mathematical libraries. The approach was implemented with a real case study of the Yarkon–Taninim aquifer in Israel. The results indicate that the method is more stable than the classical approach.     

Composite use of numerical groundwater flow modeling and geoinformatics techniques for monitoring Indus Basin aquifer, Pakistan

The integration of the Geographic Information System (GIS) with groundwater modeling and satellite remote sensing capabilities has provided an efficient way of analyzing and monitoring groundwater behavior and its associated land conditions. A 3-dimensional finite element model (Feflow) has been used for regional groundwater flow modeling of Upper Chaj Doab in Indus Basin, Pakistan. The approach of using GIS techniques that partially fulfill the data requirements and define the parameters of existing hydrologic models was adopted. The numerical groundwater flow model is developed to configure the groundwater equipotential surface, hydraulic head gradient, and estimation of the groundwater budget of the aquifer. GIS is used for spatial database development, integration with a remote sensing, and numerical groundwater flow modeling capabilities. The thematic layers of soils, land use, hydrology, infrastructure, and climate were developed using GIS. The Arcview GIS software is used as additive tool to develop supportive data for numerical groundwater flow modeling and integration and presentation of image processing and modeling results. The groundwater flow model was calibrated to simulate future changes in piezometric heads from the period 2006 to 2020. Different scenarios were developed to study the impact of extreme climatic conditions (drought/flood) and variable groundwater abstraction on the regional groundwater system. The model results indicated a significant response in watertable due to external influential factors. The developed model provides an effective tool for evaluating better management options for monitoring future groundwater development in the study area.     

北京城市副中心海绵城市建设对地下水环境影响评价

以城市副中心北运河西岸湿地（甘棠大桥段）作为典型面状海绵体,利用2018年5月—9月采集的300组地表水和地下水监测数据,分析典型海绵体地下水水化学特征及形成机制,探讨不同含水层之间水力联系,并以Cl-为指示因子,结合其他水化学指标研究分析典型面状海绵体建设背景下地下水与地表水之间的交互作用及影响程度。结果显示,在垂向上,10 m、20 m含水层地下水之间联系密切,且受大气降水影响明显;在平面上,地表水对10 m、20 m含水层组地下水的影响距离为90 m～120 m,地表水对30 m含水层组地下水的影响距离为80 m～90 m。     

地下水环境监测井评估体系构建研究

为科学开展监测井评估,选择井口保护装置/井口状况、井管内径、上部井管保存状态、是否串层、井结构保存状态、井的连通性6个指标,建立监测井维护评估和监测井功能评估方法,构建地下水环境监测井评估体系。监测井维护评估最终的评估结果分为无需修复、修复和报废,用于指导地下水环境监测井维护管理,使之满足长期监测要求;监测井功能评估最终的评估结果分为监测功能良好、监测功能一般和不具有监测功能,用于判定监测井的监测功能状况,是否可以执行当前监测任务。研究可为健全地下水环境监测网络,规范开展地下水环境监测提供技术支撑。     

基于VOCs浓度反演的地下水中含油物质泄漏原位在线监测方法的建立及应用

石油石化企业的含油物质泄漏进入地下水,会对生态环境造成负面影响。通过构建地下水井模型,比选不同原理的挥发性有机物(VOCs)检测传感器,建立了基于VOCs浓度反演的地下水中含油物质泄漏原位实时在线监测方法。研究发现,常规水质六参数传感器对含油物质泄漏的响应会产生滞后现象,在实时预警监测地下水井中含油物质时可不安装常规水质六参数传感器,节约企业污染防控监测成本。将该方法应用于企业现场进行原位实时监测,当实时监测值超过数据监控平台预警阈值时,系统会发出警报,实现了地下水井中含油物质泄漏实时预警监测。该监测方法具有响应速度快、准确性高、成本低、监测过程简单等优势,将帮助企业实时掌握地下水污染状况,提高地下水污染防控预警效率。     

A multi-variate methodology for analyzing pre-existing lake water quality data

Environmental agencies are given the task of monitoring water quality in rivers, lakes, and other bodies of water, for the purpose of comparing the results with regulatory standards. Monitoring follows requirements set by regulations, and data are collected in a systematic way for the intended purpose. Monitoring enables agencies to determine whether water bodies are polluted. Much effort is spent per monitoring event, resulting in hundreds of data points typically used solely for comparison with regulatory standards and then stored for little further use. This paper devises a data analysis methodology that can make use of the pre-existing datasets to extract more useful information on water quality trends, without new sample collection and analysis. In this paper, measured lake water quality data are subjected to statistical analyses including Principal Component Analysis (PCA) to deduce changes in water quality spatially and temporally over several years. It was found that the lake as a whole changed temporally by season, rather than spatially. Storm events caused the greatest shifts in water quality, though the shifts were fairly consistent across sampling stations. This methodology can be applied to similar datasets, especially with the recent emphasis by the U.S. EPA on protection of lakes as water sources. Water quality managers using these techniques may be able to lower their monitoring costs by eliminating redundant water quality parameters found in this analysis.     

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。     

Impact evaluation of agrotechnologies in watersheds

The special project RAISA (Advanced Researches for Innovation in Agricultural Systems) of the National Research Council of Italy concerns the development of new methodologies for the study and evaluation of the impact of agrotechnologies on the environment. In the project, several trans-disciplinary Units have worked together since 1990. The aim of the project is to define systems, using tools such as remote sensing and Geographical Information Systems, for decision making support in land planning and land use management, with particular attention to groudwater table pollution. The fundamental steps for evaluation of the impact of agrotechnologies on the Po river watershed, 75,000 km² in northern Italy, and Tevere (Tiber) river watershed, 17.169 km² in Central Italy are described here. The study concerns particular areas located in the western part of the Po River plain, where flooded rice is the main crop, and in the central plain of the Tevere basin where the risk of water pollution is considerable, due to small and medium sized swine breeding farms. The aspects considered were water pollution due to mineral nitrogen used to fertilize the rice crop and the nitrogen contained in the waste water from pig farms. For the Po river basin the methodology developed was based on the integration of satellite remote sensing images, and the available cartography, such as topographic and thematic maps, together with the hydrological and the toxicological data of the chemical fertilizers employed, summarized in maps of the groundwater table pollution hazard. A simpler evaluation was obtained in the Tevere river basin: the thematic layers were crossed in bi-directional matrices and the result merged with the map of the territorial distributionof the swine. In both cases the selected information was integrated and processed in Integrated sub-basin scale. The GISs led to the development of a user-friendly system for formalizing our knowledge of the degree of pollution hazard in simple and readable maps.Research supported by National Research Council of Italy, Special Project RAISA, sub-project N. 1 Paper N.     

Design of an integrated monitoring programme in Sweden

A National Swedish Environmental Monitoring Programme, the PMK, has been designed for regular and permanent recording of environmental conditions and long-term changes in background regions, and for keeping track of the flux of pollutants in and between various media. Many of the projects involved deal with integrated monitoring of terrestrial and limnic ecosystems. This work is carried out in or near some 20 small watersheds, usually selected in national parks or nature reserves. The environmental factors monitored in these areas include concentrations of chemical substances in precipitation, soil, groundwater, surface water, and organisms, as well as biological parameters—such as the population size and reproductive capacity of certain species—that may indicate effects of environmental disturbances. The data from this programme can be used as a reference to environmental data acquired near pollution sources, and as a basis for measures against e.g. acid rain, heavy-metal pollution, and use of pesticides. The biological parameters may also reveal effects of yet unknown pollutants or other disturbances.     

对国家环境保护野外观测研究站建设的几点思考

《国家环境保护"十二五"科技发展规划》提出将国家环境保护野外观测研究站作为"十二五"环境科技支撑能力建设内容之一;在《"十二五"国家自主创新能力建设规划》中也将国家野外科学观测研究站(网)作为科技创新基础条件的建设内容。在分析环保部门生态环境观测研究台站建设现状基础上,对国家环境保护野外观测研究台站的建设目标与定位、空间布局、运行机制、监测与评价技术体系构建、监测指标体系框架等进行分析探讨。在目标与定位上,国家环境保护野外观测研究台站既要与目前国内主要的生态环境监测网络(如中国生态系统研究网络和中国森林生态系统定位研究网络)形成补充,同时也要突出环保部门特色;在空间布局上既要关注水、空气、土壤污染的重点监控区,也要关注生态脆弱区、重要(点)生态功能区等生态敏感区;在技术体系上,要研究建立标准化、规范化的观测技术体系,同时也要注重生态环境评价方法研究,为生态环境精准化管理提供技术支持。     

北京城市副中心典型海绵体地表水与地下水交互作用研究

海绵城市建设是推动绿色低碳城市建设及可持续发展的重要保障措施,可以有效解决城市内涝、水资源短缺等问题,对于城市生态文明建设具有重要意义。以北京城市副中心点、线、面3种不同类型海绵体作为研究对象,利用2018年5—9月枯、丰水期采集到的345组地表水和地下水同步连续监测数据,分析了典型海绵体的地下水水化学特征及其形成机制,探讨了不同含水层之间的水力联系。同时,以Cl^-为指示因子,结合其他水化学指标,研究分析了典型面状海绵体地下水与地表水之间的交互作用及影响程度。结果显示:在垂向上,埋深10 m和20 m含水层地下水之间联系密切,且受大气降水影响明显;埋深50 m和80 m含水层组地下水与其他含水层组无明显水力联系。在平面上,线状及面状海绵体地表水对地下水的影响距离为80~100 m;随着地层埋深的增加,地表水对地下水的影响程度减弱。     

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。