基于DRASTIC模型的城市地下水脆弱性评价综述

地下水脆弱性评价是环境规划和决策的有用手段,国内外已有很多研究,也提出了各种计算防污性能的模型。文章针对城市地下水污染问题介绍了评价地下水防污性能的DRASTIC模型。对DRASTIC模型的指标体系和评价方法进行了介绍,列举了DRASTIC模型的局限性;综述了目前国内外基于DRASTIC模型的城市地下水脆弱性分析的改进的模型及其应用实例,并对其应用前景进行了展望。     

基于GIS应用DRASTIC模型评价贵阳市地下水污染风险

介绍了DRASTIC模型的七个评价因子:地下水埋深、含水层净补给量、含水层介质类型、土壤类型、地形坡度、包气带介质Ⅰ的影响和含水层的导水系数.以地理信息系统(MAPGIS软件)为基础平台,结合地下水污染风险评价专业模型(DRASTIC模型),评价了贵阳市地下水污染风险,并进行了模型验证.通过MAPGIS软件做出了贵阳市地下水污染风险预测图,并对贵阳市地下水污染风险提出了防治对策,最后对地下水污染风险评价进行了总结与展望.     

DRASTIC 指标体系法在滹滏平原地下水脆弱性评价中的应用

运用 DRASTIC 指标体系法,根据河北省滹滏平原区的具体情况,不考虑地形因素,增加人类活动 (开采地下水)这一指标,并结合 GIS 技术,对该区的地下水脆弱性进行评价,得到了地下水脆弱性分布成果图, 为本区地下水有效管理和可持续利用提供了依据.     

基于计点系统模型的地下水水量脆弱性评价

根据德阳市城市规划区的实际情况,选择含水层厚度、富水性、给水度、降水入渗系数、地下水资源可开采模数等能充分反应研究区地下水系统特征的5个指标,建立地下水水量脆弱性评价指标体系,利用专家评分法获取评价指标权重体系,并用计点系统模型及GIS技术进行研究区地下水水量脆弱性综合性评价。结果显示,地下水水量脆弱性较高和高的分布面积约占全区面积的29.7%,地下水水量保护管理形势较为严峻;发现地下水水量脆弱性在地下水补给区相对较低、在排泄区相对较高。     

基于熵权与GIS耦合的DRASTIC地下水脆弱性模糊优选评价

地下水脆弱性评价与编图是保护地下水环境工作的基础,DRASTIC模型是目前国际上最普遍应用的地下水脆弱性评价方法。在利用GIS进行地下水脆弱性评价的基础上,引进基于熵权的模糊优选评价方法,构建了基于熵权与GIS耦合的DRASTIC地下水脆弱性模糊优选评价模型。将该模型应用于黄水河流域,计算出了各评价参数的熵权和各叠加分区基于熵权的隶属度,据此将地下水脆弱性划分为高、中、低3个等级。结果表明,评价过程中避免了人为因素的干扰,更能真实地反映客观情况,为地下水脆弱性的评价提供新的思路和方法。     

基于PLEIK模型的地下水防污性能评价——以川东南岩溶区为例

采用PLEIK评价模型对川东南岩溶区进行地下水防污性能评价。首先分别做出各评价指标的分区图,然后进行叠加计算,得出研究区地下水防污性能评价分区图。用评价分区图对各分区进行分析,研究其分布特征规律,为区域地下水污染防治规划及地下水资源保护提供科学依据。     

松花江松原段沿岸浅层地下水脆弱性评价

为给松花江流域地下水污染防治与控制提供理论依据,基于DRASTIC模型,选取净补给量、包气带介质、含水层富水性、地下水水位埋深、土地利用类型、污染源影响和地下水开采模数建成评价指标体系,结合GIS技术对松花江松原段沿江两侧5～10 km范围内的浅层地下水脆弱性进行了分区,并将结果与地下水质污染评价结果进行了对比,最后通...     

基于DRASTIC方法的乌鲁木齐市平原区地下水脆弱性评价

乌鲁木齐市位于西北干旱地区,地下水人均资源量严重不足,制约了城市经济和资源环境的协调发展。本次评价采用国内外应用成熟的DRASTIC方法,评价乌鲁木齐市浅层地下水脆弱性,首先对7个指标进行评分,建立符合研究区的DRASTIC评分体系,得到研究区DRASTIC模型的7个指标的评分图,然后利用ArcGis10.2软件的图层空间分析平台,结合评价结果做出了相应的脆弱性分区图。结果显示,乌鲁木齐市内乌鲁木齐河谷区及北部五一农场地段的地下水脆弱性为中—高等,主导因素为含水层介质类型为砂岩、砂砾石等透水性较好的地层,地下水埋深较小,地层渗透系数较高;位于市区南部的柴窝堡—乌拉泊村、永丰乡及北部的三坪农场至大草滩区域地下水脆弱性中等,其余地段地下水脆弱性低。     

Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques

The present work attempts to interpret the groundwater vulnerability of the Melaka State in peninsular Malaysia. The state of groundwater pollution in Melaka is a critical issue particularly in respect of the increasing population, and tourism industry as well as the agricultural, industrial and commercial development. Focusing on this issue, the study illustrates the groundwater vulnerability map for the Melaka State using the DRASTIC model together with remote sensing and geographic information system (GIS). The data which correspond to the seven parameters of the model were collected and converted into thematic maps by GIS. Seven thematic maps defining the depth to water level, net recharge, aquifer media, soil media, topography, impact of vadose zone and hydraulic conductivity were generated to develop the DRASTIC map. In addition, this map was integrated with a land use map for generating the risk map to assess the effect of land use activities on the groundwater vulnerability. Three types of vulnerability zones were assigned for both DRASTIC map and risk map, namely, high, moderate and low. The DRASTIC map illustrates that an area of 11.02 % is low vulnerability, 61.53 % moderate vulnerability and 23.45 % high vulnerability, whereas the risk map indicates that 14.40 % of the area is low vulnerability, 47.34 % moderate vulnerability and 38.26 % high vulnerability in the study area. The most vulnerability area exists around Melaka, Jasin and Alor Gajah cities of the Melaka State.     

Groundwater risk assessment based on optimization framework using DRASTIC method

Due to anthropogenic influences and large amounts of pollutant released into the groundwater, it is vital to investigate groundwater quality and to characterize susceptible areas to contamination. In this paper, a new optimization-based methodology is proposed for determining groundwater risk using DRASTIC model based on genetic algorithm optimization model and Wilcoxon test. The correlation coefficient between DRASTIC/modified DRASTIC indices and nitrate concentrations in monitoring wells is used as a criteria for evaluating the efficiency of the proposed models. In this regard, because of the unsatisfactory original DRASTIC’s result, sensitivity analysis, genetic algorithm (GA), and Wilcoxon test (1945) are carried out to tackle the subjectivity associated with the original DRASTIC model and obtain better and reliable results. The results indicate that application of Wilcoxon test and GA optimization outperforms the others. Consequently, the correlation coefficient increased remarkably as compared to the original DRASTIC model (from 0.57 to 0.82). The proposed optimization process is adaptable to be applied in different case studies; mainly since it has the ability to optimize the weights of the model based on hydrogeological characteristics of the aquifer. Finally, the risk maps of the models are prepared using ArcGIS® to determine the most vulnerable areas.     

基于DRASTIC的地下水易污染性多目标模糊模式识别模型

介绍了目前国外广泛应用的含水层易污染性评价的DRASTIC模型,分析了该模型存在问题及产生原因,讨论了含水层易污染性及其评价中存在的模糊性,建立了多目标模糊模式识别模型,给出含水层易污染性评价大小的习惯性描述语言.分别用DRASTIC模型和多目标模糊模式识别模型对一个应用实例进行了研究,由评价结果的分析比较结果表明,多目标模糊模式识别模型比DRASTIC模型更真实地反映含水层易污染性.     

下辽河平原地下水脆弱性研究

在参照DRASTIC方法的基础上,根据下辽河平原的具体状况,选择地下水埋深等11个参数作为该地区地下水脆弱性评价因子。评价因子的评分体系依据典型地区及相应标准确立,权重体系由层次分析法和决策分析法得到。在此基础上,利用模糊模式识别技术对下辽河平原地区的地下水脆弱性进行评价,评价结果与该地区地下水污染情况的拟合度较好。     

Assessing Groundwater Resource Vulnerability by Coupling GIS-Based DRASTIC and Solute Transport Model in Ajmer District,Rajasthan

Groundwater aquifer vulnerability has been assessed by incorporating the major geological and hydrogeological factors that affect and control the groundwater contamination using GIS-based DRASTIC model along with solute transport modeling. This work demonstrates the potential of GIS to derive a vulnerability map by overlying various spatially referenced digital data layers (i.e., depth to water, net recharge, aquifer media, soil media, topography, the impact of vadose zone and hydraulic conductivity) that portrays cumulative aquifer sensitivity ratings in Kishangarh, Rajasthan. It provides a relative indication of groundwater aquifer vulnerability to contamination. The soil moisture flow and solute transport regimes of the vadose zone associated with specific hydrogeological conditions play a crucial role in pollution risk assessment of the underlying groundwater resources. An effort has been made to map the vulnerability of shallow groundwater to surface pollutants of thestudy area, using soil moisture flow and contaminant transport modeling. The classical advection-dispersion equation coupled with Richard’s equation is numerically simulated at different point locations for assessing the intrinsic vulnerability of the valley. The role of soil type, slope, and the land-use cover is considered for estimating the transient flux at the top boundary from daily precipitation and evapotranspiration data of the study area. The time required by the solute peak to travel from the surface to the groundwater table at the bottom of the soil profile is considered as an indicator of avulnerability index. Results show a high vulnerability in the southern region, whereas low vulnerability is observed in the northeast and northern parts. The results have recognized four aquifer vulnerability zones based on DRASTIC vulnerability index (DVI), which ranged from 45 to 178. It has been deduced that approximately 18, 25, 34, and 23% of the area lies in negligible, low, medium and high vulnerability zones, respectively. The study may assist in decision making related to theplanning of industrial locations and the sustainable water resources development of the selected semi-arid area.     

云南丽江盆地地下水脆弱性评价

应用美国环保署EPA的地下水脆弱性DRASTIC评价方法,考虑地下水位埋深、含水层净补给量、含水层介质、土壤包气带、地形地貌、包气带介质和水力传导系数等7个评价因子,结合GIS技术,对云南丽江古城所在的丽江盆地地下水脆弱性从自然和人类影响两方面进行评价。研究表明,丽江盆地地下水脆弱性高,污染严重,水资源保障率低,已危及丽江世界遗产地下水生态安全。加强对水资源环境的综合研究和保护,是进一步推动丽江社会、经济、环境协调发展的重要工作。     

城市地下水脆弱性评价方法及应用

地下水脆弱性评价是合理开发利用和保护地下水的基础.以国内外广泛应用的DRASTIC模型为基础,结合我国华北平原沉降带冲洪积含水层水文地质特征,提出了一种适用于层状含水层水文地质条件的城市地下水脆弱性评价模型--DRAMIP模型,并根据廊坊市的实际状况,对廊坊市浅层地下水进行了脆弱性评价,利用GIS技术生成了廊坊市浅层地下水脆弱性分布图.     

基于GIS应用DATUW模型评价地下水环境脆弱性

地下水环境脆弱性是当前地下水研究领域中的一个热点,其评价结果对于城市规划、垃圾堆放场址建设、地下水源选取与保护等具有非常重要的作用。本文是在MapGIS平台上,基于DRASTIC评价技术,选取地下水位埋深、含水层介质、地形坡度、含水层上覆地层、单井涌水量五个因子,利用DATUW模型,评价哈尔滨市区的地下水环境脆弱性。根据评价结果,将研究区的地下水环境划分为高、中、低三个脆弱性区,并就分区结果,提出了防护建议。     

贵州省开阳县光生坝地下河系统地下水脆弱性评价

本文结合开阳县地下水系统情况,以地下河为单元,采用层次分析法,取固有脆弱性以岩石地层(R)、含水介质类型(W)、岩溶类型(K)、岩溶发育程度(D)、地形地貌(T)、土层厚度(S)、植被覆盖率(V)因子进行分值量化;在固有脆弱性评价的基础上增加人为工程活动程度(E)、污染源(P)、人口密集程度(C)作为评价因子,对该区地下水的固有脆弱性和特殊脆弱性进行了综合评价。评价结果为该区域地下水开发利用和保护提供有价值的参考依据。     

Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment

The protection and preservation of groundwater resources are compulsory, particularly in the arid and semiarid countries where the waters are scarce. The effects of increasing urbanization, economic development, and agricultural activities, along with the erratic and scarce rainfall, contribute to the quantitative and qualitative deterioration of these resources. This paper attempts to produce groundwater vulnerability and risk maps for the Angad transboundary aquifer using DRASTIC model. The data which correspond to the seven parameters of the model were collected and converted to thematic maps in Geographic Information System environment. The modified DRASTIC map, which is the summation of the DRASTIC index and the network fractures maps, shows two degreed of vulnerability: medium and high. This map is then integrated with a land use map to assess the potential risk of groundwater to pollution in the Angad transboundary aquifer. There are three risk zones that are identified: moderate, high, and very high.     

基于AHP的模糊综合评价模型在地下水脆弱性评价中的应用研究

地下水脆弱性是污染物由地表到达地下水系统某一特定位置的趋向性和可能性。研究地下水脆弱性是为了更好地管理和开发利用地下水提供一个强而有力的依据。由于地下水脆弱性的界线是模糊的。且因不同的地区和不同的地质条件的差异,脆弱性的影响因素的权重也会随之变化。现采用基于AHP(层次分析)的模糊综合评判模型能使评价结果更加客观且符合实际,且能较好地解决定量和定性相结合的问题。现采用基于AHP(层次分析)的模糊综合评判模型对海口市地下水源地进行脆弱性评价,经过海口市地下水源地脆弱性的计算,证明了基于AHP的模糊综合评价模型用于地下水脆弱性评价是可行的,且能使评价结果更加客观和符合实际。     

哈尔滨市地下水的易污性评价及计算机编图

介绍了目前在国际上采用的地下水的易污性评价方法－DRASTIC评价方法，用与地下水有关的多因子－地下水的埋深，含水层的净补给，岩性，土壤类型，地形，渗流区介质，水力传导系数等7个相关因子对地下水进行评价，并结合GIS地理信息系统对哈尔滨市地下水的易污性进行评价，编制了哈尔滨市地下水的易污图，为今后地下水资源管理，土地利用，城市环境管理者等进一步制定管理方针政策提供了重要的依据。