地下水脆弱性的概念、评价方法与研究前景

地下水脆弱性概念的发展过程是一个由简单到复杂,由单纯考虑内因到综合考虑内外因,由分歧到趋同的不断丰富、完善与发展的过程.评价方法则相应的由应用图件定性描述发展到应用数学模型定量表达.指出了目前地下水脆弱性评价中存在的若干问题,并指出应用灰色系统理论,模糊数学理论,AHP方法与GIS技术进行地下水脆弱性评价将是地下水脆弱性研究的一个主要的发展方向.     

基于AHP的DRASTIC模型对莱州地区地下水脆弱性研究

地下水脆弱性评价是作为地质环境评价的一部分,目前国内外已有众多研究,并提出多种评价模型,其中以DRASTIC方法模型使用最为广泛。AHP（层次分析法）是一种层次权重决策分析方法,综合专家经验与理论数据,可以实现定性与定量二者有效的统一结合,更真实客观的反映研究区评价结果。文中以莱州地区为研究区,在全面调查区内的地质条件、水文地质条件、地形地貌、气象等实际情况的基础上,利用AHP法对目前使用的DRASTIC方法模型进行改进。对原模型中的7个参数进行权重重新取值,然后建立一套符合研究区的地下水脆弱性模型,并进行评价分区,最终绘制了地下水脆弱性分区图。     

区域地下水系统防污性能评价方法探讨与验证——以鲁北平原为例

区域地下水系统防污性能评价,面临影响因子多又复杂、评价指标难以客观性选定和权重不易确定等难题,以至严重影响评价结果的可信性。本文以鲁北平原为例,在以往地下水脆弱性评价常用的DRASTIC模型基础上,采用创新的迭置指数方法,改进为"DRITCS法",选择地下水位埋深、包气带综合岩性、地表2 m内单层厚度大于0.5 m的粘土层厚、含水砂层厚度及其渗透系数、和地下水净补给量等因子,组成区域地下水系统防污性能评价模型。合理地确定了区域地下水系统防污性能评价中关键指标——包气带粘性土层变化影响,并在鲁北平原示范性应用和通过以面源污染为主的三氮污染现状验证的结果表明:本文提出的方法能够客观地反映流域性相变造成的地下水系统防污性能空间差异性和区位分布特征,具有较强的实用性。     

北京市海淀区地下水污染风险性评价

地下水受污染的风险性主要由含水层本身的防污性能、人为污染源污染地下水的灾害等级和地下水受污染后造成的后果严重程度等因素决定的,地下水污染风险性高是指高价值的地下水资源受到灾害高的污染源的污染可能性大,评价地下水污染风险需要编制3张基础图：地下水易污性图、地下水价值图和地下水污染源灾害分级图。本文介绍并应用了定量评价的DRASTIC方法和定性评价的矩阵方法,定量和定性相结合,综合了含水层易污性、地下水开发利用价值和污染源对地下水影响等因素,对北京市海淀区浅层地下水受污染的风险性进行了综合评价。     

Assessing groundwater vulnerability to nitrate pollution using statistical approaches: a case study of Sidi Bouzid shallow aquifer,Central Tunisia

The study region comprises the Sidi Bouzid shallow aquifer, which is located in the western part of Central Tunisia. It is mainly occupied by agricultural land with intensive use of chemical fertilizers especially nitrates. For this reason, nitrate measurement was performed in 38 water samples to evaluate and calibrate the obtained models. Several environmental parameters were analyzed using groundwater nitrate concentrations, and different statistical approaches were applied to assess and validate the groundwater vulnerability to nitrate pollution in the Sidi Bouzid shallow aquifer. Multiple linear regression (MLR), analyses of covariance (ANCOVA), and logistic regression (LR) were carried out for studying the nitrate effects on groundwater pollution. Statistical analyses were used to identify major environmental factors that control the groundwater nitrate concentration in this region. Correlation and statistical analyses were conducted to examine the relationship between the nitrate (dependent variable) and various environmental variables (independent variables). All methods show that “groundwater depth” and “land use” parameters are statistically significant at 95% level of confidence. Groundwater vulnerability map was obtained by overlaying these two thematic layers which were obtained in the GIS environment. It shows that the high vulnerability area coincides with the likelihood that nitrate concentration exceeds 24.5 mg/l in groundwater. The relationship between the groundwater vulnerability classes and the nitrate concentrations provides satisfactory results; it showed an Eta-squared correlation coefficient of 64%. So, the groundwater vulnerability map can be used as a synthetic document for realistic management of groundwater quality.     

地下水污染风险预警等级及阈值确定方法研究综述

预警等级及阈值的科学确定对地下水污染风险预警系统的建立起着至关重要的作用。当前我国地下水污染风险预警相关研究尚处在探索阶段,未形成科学完备的理论与方法体系。文章基于国内外已有研究报道,较系统地梳理了地下水污染风险预警相关研究,归纳总结了预警等级及阈值确定方法的研究现状,并对进一步研究做了展望。目前阈值主要的划定方法有相关标准法、临界值法、综合评判法等。相关标准法适用于大尺度宏观区域,临界值法在基础资料较完善的研究区域具有较强的针对性和准确性,而综合评判法能够处理多个变量因素,能对定性因素做出量化评价,适用于变量、定性因素较多的研究区域,为不同条件研究区地下水污染风险预警等级划分及阈值划定方法的选择提供了理论依据。最后指出在完善我国地下水污染风险预警体系理论方法的工作中,应当进一步关注:（1）多学科研究成果的交叉渗透,借助多方法交互应用;（2）加强与地下水污染相关的水文地质调查与监测工作,不断提高地下水污染调查研究程度;（3）综合分析地质、污染源、地下水价值及动态等地下水污染影响因素,以提高预警结果科学性。     

基于DRASTIC指标体系法的泰安市地下水脆弱性研究

地下水脆弱性评价是地下水保护工作的核心内容之一,针对泰安市的特点和区域特色,利用DRASTIC方法,选取地下水位埋深、净补给量、含水层介质类型、土壤介质类型、地形坡度、包气带介质类型以及含水层渗透系数7个参数为评价指标,对该地区的地下水脆弱性进行了定量评价,将泰安市地下水的脆弱性分为脆弱性高、较高、中等和低4个等级,并绘制了地下水脆弱性分区图,对该地区今后制订地下水资源管理、土地利用、环境保护及城市规划等政策措施具有较重要的参考指导作用。     

DRASTIC模型评价地下水系统脆弱性中的GIS应用——以河北沧州地区为例

地下水是水资源的重要组成部份,地下水污染危害人的健康,影响人们的生产和生活,查明某一地区地下水容易受污染的可能性即地下水脆弱性,能为管理决策部门提供合理开发地下水资源,防治地下水污染的科学规划和管理依据。在脆弱性评价工作中,应用GIS技术完成地下水系统脆弱性编图,并进行地下水环境保护功能分区,是查明某一示范区地下水脆弱性的可靠手段和科学依据。本文以河北省沧州地区为例,以DRASTIC模型的七项评价因子为脆弱性评价指标,利用MAPGIS为平台实现地下水脆弱性编图,方便从事地下水工作的管理人员及时掌握地下水污染动态、空间分布及演化趋势。     

西辽河平原(内蒙古部分)地下水固有脆弱性评价

在西辽河平原地下水资源评价的基础上,选取影响西辽河平原固有脆弱性的最主要的7个影响因子,利用GIS平台的空间分析功能,将研究区划分为14365个评价单元,运用基于DRASTIC的模糊综合评价方法对该区的地下水固有脆弱性进行了综合评价,并绘制了脆弱性分布图。评价结果表明西辽河平原(内蒙古部分)地下水脆弱性存在3个分区:大部分地区为地下水稍易污染区;南部的黄土地区为地下水稍难污染区;而西辽河和乌尔吉木伦河的中上游为地下水相对略易污染区。评价结果对该区地下水资源保护、防止地下水污染具有指导作用。     

地下水污染风险源识别与分级方法

由于目前缺乏一套完整成熟的地下水污染风险源准确识别与分级方法, 在综合解析污染源结构、污染物输移过程评价的基础上, 构建了涵盖地下水易污性和地下水污染源两部分多因素耦合的风险源识别模型, 其中从污染源特性和污染物性质两方面建立了污染源危害性评价参数体系.以地下水易污性指数和污染源潜在危害性评价指数作为风险源分级指标, 采用乘积模型进行了风险源的评价与分级.选择某水源地对所建方法进行实例分析, 确定了地下水污染的高风险源区.结果表明, 污染源和地下水易污性共同决定了地下水污染的风险源, 所建方法对地下水污染的预防及污染源的有效监管有重要意义.      

地下水环境脆弱程度图编图方法研究

由于地下水的过量开采,导致地下水资源乃至地下水环境遭到不同程度的厂址,引起许多与其相关的生态环境问题。为此,本文引用地下水环境脆弱性概念,并以松嫩平原为例,采用先进的理论和方法,以包气带厚度、包气带渗透系数、地下水补给强度及地下水水力坡度等为定量化指标牙分不同脆弱程度地区,编制了为统一协调资源与环境,优化开采提供依据的一种新的地下水环境脆弱程度图。     

Intrinsic groundwater vulnerability determination at the aquifer scale: a methodology coupling travel time estimation and rating methods

Groundwater vulnerability has been subject of much research due to the valuable information it provides concerning groundwater protection and exploitation potential. Up to now, most groundwater vulnerability studies adopt subjective systems of rating the various factors and subsequently, their results are often ambiguous and contradicting. Within the present study a methodology for the estimation of intrinsic groundwater vulnerability at the aquifer scale is presented. The methodology is based on travel time estimation from specified sources of pollution to the aquifer. Besides the deterministic calculation of travel times, the methodology provides a rating system for each pollution source, based on its relative severity and the estimated threat that it poses to the aquifer. Therefore, it can be regarded as a hybrid method that couples the advantages provided by the physically based methods with those of the subjective rating systems. The methodology is applied to the Neon Sidirochorion aquifer, Northeastern Greece, an overexploited aquifer where river waters, sea waters and lake waters interact, causing groundwater quality deterioration to the aquifer. The results indicated that the proposed groundwater vulnerability assessment methodology is well capturing pollution related to saltwater intrusion and agricultural activities, while it is concluded that the conceptual model is significantly affecting the vulnerability assessment results and therefore has to be previously developed.     

Karst morphology and groundwater vulnerability of high alpine karst plateaus

High alpine karst plateaus are recharge areas for major drinking water resources in the Alps and many other regions. Well-established methods for the vulnerability mapping of groundwater to contamination have not been applied to such areas yet. The paper characterises this karst type and shows that two common vulnerability assessment methods (COP and PI) classify most of the areas with high vulnerability classes. In the test site on the Hochschwab plateau (Northern Calcareous Alps, Austria), overlying layers are mostly absent, not protective or even enhance point recharge, where they have aquiclude character. The COP method classifies 82% of the area as highly or extremely vulnerable. The resulting maps are reasonable, but do not differentiate vulnerabilities to the extent that the results can be used for protective measures. An extension for the upper end of the vulnerability scale is presented that allows identifying ultra vulnerable areas. The proposed enhancement of the conventional approach points out that infiltration conditions are of key importance for vulnerability. The method accounts for karst genetical and hydrologic processes using qualitative and quantitative properties of karst depressions and sinking streams including parameters calculated from digital elevations models. The method is tested on the Hochschwab plateau where 1.7% of the area is delineated as ultra vulnerable. This differentiation could not be reached by the COP and PI methods. The resulting vulnerability map highlights spots of maximum vulnerability and the combination with a hazard map enables protective measures for a manageable area and number of sites.     

基于改进的数量化理论和RBF神经网络组合方法的地下水水质预测

文中首先运用了一种改进的数量化理论I模型作为预处理工具,对影响地下水水质的20个因子进行定性数据转换、数据降维,随后将8个重要特征因子作为RBF（径向基函数）神经网络模型的输入,进一步对监测井的采样数据进行学习、训练,揭示地下水污染质迁移转化规律。尝试用经过改进的数量化理论与RBF神经网络方法二者结合,对沈阳李官水源地研究区监测井地下水水质变化进行模拟与预测,其仿真结果覆盖了现有的绝大部分实测数据,适用范围广泛,具有一定的推广价值。     

地下水脆弱性概念的发展过程与评价现状及研究前景

地下水脆弱性概念的发展过程是一个由简单到复杂,由单纯考虑内因到综合考虑内外因,由分以趋同的不断丰富、完善与发展的过程。评价方法由应用图件定性描述发展到应用模型定量表达。本文指出了目前地下水脆弱性评价中存在的若干问题,并指出应用灰色系统理论、模糊数学理论、ＡＨＰ与ＧＩＳ技术进行地下水脆弱性评价将是地下水脆弱性研究的一个主要的发展方向。     

基于GIS的地下水易污性评价系统

介绍了基于MapGIS开发的地下水易污性DRAMTICH评价系统,说明地下水易污性评价软件(GW-VAS)的基本框架、主要功能、组成部分、系统特点以及使用方法。该系统还对DRASTIC等其它常见的地下水易污性评价方法进行了综合集成,克服了单一方法缺乏对比性的不足,提高了评价结果的客观性、科学性和实用性。并将该方法应用于黄水河流域,利用传统的权重评分法和本文开发的方法进行了对比,结果表明,系统通用性好,方法实用性强。 更多还原     

基于含水层非均质性随机特征的地下水脆弱性评价

由于地质条件的复杂性,人们所能获取的地质和水文地质资料是有限的,这就导致对水文地质条件的认识具有不确定性,其中以含水层非均质特征最为显著,这对地下水脆弱性评价显然会产生显著的影响。考虑含水层的非均质特性,提出具有非平稳随机场空间相关性的地下水脆弱性评价方法。以南京市江宁区中部地区为例,用改进的连续随机增加方法(Successive Random Additional method,简称SRA)生成了渗透系数对数(lnK),具有分维Levy运动统计特征的随机场,模拟含水层渗透系数可能的非均质空间分布,采用DRASTIC方法进行地下水脆弱性评价。结果表明由此方法生成的渗透系数场变化的程度相对传统的普通克里金方法更加剧烈,更加符合复杂分布的非平稳随机场特征,在此基础上建立的地下水脆弱性评价更加符合客观事实,丰富和发展利用随机理论解决地下水环境问题的理论和方法。     

Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment

This study developed a new paradigm for groundwater vulnerability assessment by modifying the standard DRASTIC index (DI) model based on catastrophe theory. The developed paradigm was called the catastrophe theory-based DI (CDI) model. The proposed model was applied to assess groundwater vulnerability to pollution index (GVPI) in Perak Province, Malaysia. The area vulnerability index was modeled by considering the DRASTIC multiple vulnerability causative factors (VCFs) obtained from different data sources. The weights and ranking of the VCFs were computed by using the inner fuzzy membership mechanism of the CDI model. The estimated vulnerability index values of the CDI model were processed in a geographic information system (GIS) environment to produce a catastrophe theory–DRASTIC groundwater vulnerability to pollution index (CDGVPI) map, which demarcated the area into five vulnerability zones. The produced CDGVPI map was validated by applying the water quality status–vulnerability zone relationship (WVR) approach and the relative operating characteristic (ROC) curve method. The performance of the developed CDI model was compared with that of the standard DI model. The validation results of the WVR approach exhibits 89.29% prediction accuracy for the CDI model compared with 75% for the DI model. Meanwhile, the ROC validation results for the CDI and DI models are 88.8% and 78%, respectively. The GIS-based CDI model demonstrated better performance than the DI model. The GVPI maps produced in this study can be used for precise decision making process in environmental planning and groundwater management.     

哈尔滨市及周边地区地下水易污性评价

在哈尔滨城市地质调查项目实测的地质、水文地质资料的基础上,利用DRASTIC方法,选择地下水埋深、净补给量、含水层介质、包气带影响等7个参数作为评价指标,建立哈尔滨地区地下水易污性评价体系,编制哈尔滨地区地下水易污性分区图。研究表明,哈尔滨地区地下水易污性较高的区域占17.1%,主要分布在松花江两岸,为地下水污染的高风险地区,应列为地下水资源管理重点防护区域。     

Sensitivity analysis for the GALDIT method based on the assessment of vulnerability to pollution in the northern Sfax coastal aquifer,Tunisia

Coastal aquifer of northern Sfax (Tunisia) suffers from the high risk to seawater intrusion and the water quality degradation due to the overexploitation. Hence, assessing the study area vulnerability to pollution is highly crucial so as to protect the groundwater resources. The assessment has been performed by applying the GALDIT method using Geographic Information System (GIS) software and multi-criteria evaluation techniques, and the sensitivity analysis approach to evaluate the effect of each GALDIT parameter on the vulnerability assessment. The GALDIT vulnerability map classifies the study area into three vulnerability classes: low vulnerability (30–50), moderate vulnerability (50–70), and high vulnerability (70–90), which represent 5, 30, and 65 % of the study area, respectively. The map illustrates that the coastal zones of the aquifer are the most threatened areas. The sensitivity analysis results show that the aquifer hydraulic conductivity (A) and the thickness of the aquifer (T) represent the determining factors in the modified vulnerability model. The real weight was used to elaborate the modified GALDIT model which was correlated with resistivity values for validation. This study could serve as a scientific basis for sustainable land planning and groundwater management in the study area.