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1.
以某油田区地下水为研究对象,对DRASTIC模型的指标进行了继承和改进,评价了研究区地下水的综合防污性能.首先建立了该区潜水综合防污性能评价指标体系,选取了潜水固有防污性能指数、油井分布密度、土地利用类型三个指标.在此基础上,又选取潜水综合防污性能指数、上部隔水层厚度、承压含水层岩性和承压含水层埋深四个指标构建了承压水综合防污性能评价指标体系.采用正方形剖分法划分评价单元,应用AreGlS空间分析模块提取评价指标的性状数据,采用专家打分——层次分析法确定指标权重,选取综合指数模型对地下水综合防污性能进行评价及分区.结果表明:该区大部分地区地下水的综合防污性能较好,主城区及油井分布区的综合防污能力较低.经改进的评价方法能反映出油田区地下水的综合防污性能. 相似文献
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以黄河上游某灌区的地下水为研究对象,分别建立灌区潜水的DASLTCU模型和承压水DLCA模型对灌区地下水进行防污性能评价。选取潜水埋深(D)、含水层厚度(A)、地表土层厚度(S)、地表坡度(L)、地表岩性(T)、含水层渗透系数(C)、灌区现状图(U)作为灌区潜水的综合防污性能评价因子;选取承压水埋深(D)、隔水层岩性(L)、隔水层连续性(C)、隔水层厚度(A)作为灌区承压水的防污性能评价因子;应用ARCGIS和MODELFLOW对灌区地下水的综合防污性能进行评价和预测。得出现有灌溉规模下,潜水综合防污性差及较差地区占总面积24%,中等及以上地区占76%,灌区综合防污性总体较好。绘制出灌区潜水的现状防污性能分区图及30年后潜水的综合防污性能预测分区图。 相似文献
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松原市地下水防污性能评价 总被引：1，自引：0，他引：1
本文是依托于国土资源大调查项目"松花江重点地段地下水环境污染调查",在对松原市地下水污染现状调查的基础上,充分收集和整理了松原市的包气带和含水层资料,应用在DRASTIC模型基础上改进的DRTA模型进行了本区的地下水防污性能评价,评价结果采用MapGIS软件实现可视化显示。 相似文献
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针对中国典型油田区的水文地质条件、主要石油类污染物性质,对地下水防污性能评价模型DRASTIC进行了改进,建立了油田区地下水系统特殊防污性能评价模型——DORKI。在该模型中选取DRASTIC模型中的地下水埋深、净补给量、包气带介质3个评价因子,增加了土壤有机质含量和有机碳-水分配系数Koc2个评价因子。根据相关资料确定了新增评价因子的评分并通过层次分析法中的九标度法确定了5个评价因子的权重。最后结合某油田区的情况,对DORKI进行实例应用和分析,结果表明,DORKI模型能够较为准确地用于原油组分对油田区地下水的污染风险评价。 相似文献
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防污性能研究是保护地下水环境工作的基础,为加强对承压含水层地下水资源的保护,本文分别对北京市平原区3个承压含水层组的固有防污性能进行评价。选取隔水层的岩性、厚度、连续性,含水层的岩性、分层状况和相邻含水层的水头差等要素,构建承压含水层组防污性能评价指标体系,采用评价指标评分加权计算的方法,开展分层评价,最终将防污性能划分为好、较好、中等、较差和极差5个等级。结果表明,由第一承压水层向深层,防污性能逐渐增强;每个层组的防污性能均具有一定的区域分布性,整体来看,平谷区防污性能差,大兴区和通州区防污性能好。 相似文献
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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 总被引：2，自引：0，他引：2
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。 相似文献
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地下水防污性能评价是开展地下水保护工作的前提,可以为城镇的规划建设提供参考,具有很强的现实意义。常用的DRASTIC地下水防污性能评价模型简单,易于操作,但该模型是针对所有污染物总体考量,没有考虑到特定污染物在包气带中发生的各种生化作用,只是人为的依据经验值进行评分赋值,具有一定的缺陷性。因此,本次研究针对两种特定污染物氨氮、硝氮,定量了其在包气带中的吸附和生物转化作用,以模型模拟法的LPI模型对北京市昌平区地下水的防污性能进行了评价。评价结果表明,昌平区地下水对于氨氮、硝氮的防污性能具有很好的分带性。从山前到平原,地下水的防污性能逐渐增强。地下水对于氨氮的防污性能好于硝氮。此外,地下水大量开采导致的地下水位下降,也增强了地下水的防污性能。由于地下水的持续开采,2009年地下水对于氨氮、硝氮的防污性能普遍好于2005年。 相似文献
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基于GIS应用DRASTIC模型评价贵阳市地下水污染风险 总被引：4，自引：0，他引：4
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. 相似文献
11.
A modified DRASTIC model for groundwater vulnerability assessment (abbreviated as DRARCH model by combining the first letters
of its six assessment indices) was proposed. It is essentially the specific application of DRASTIC model rather than a new
model. Both natural hydrogeological conditions that prevent groundwater from contamination and important intrinsic hydrogeochemical
properties of sediments in vadose zone that are related to the retardation of contaminants were considered as vulnerability
indices. The DRARCH model consists of six indices: (1) Depth to the water table, (2) net Recharge, (3) Aquifer thickness,
(4) Ratio of cumulative thickness of clay layers to total thickness of vadose zone, (5) Contaminant adsorption coefficient
of sediment in vadose zone, and (6) Hydraulic conductivity of aquifer. The rating values and the weights of these vulnerability
indices were obtained by contaminant transport simulation and factor analysis method respectively. Furthermore, the DRARCH
model was applied to evaluate the groundwater vulnerability to arsenic contamination in Taiyuan basin, northern China, where
groundwaters with high arsenic concentration occur in some localities. GIS-based mapping of groundwater vulnerability using
this model indicates that the distribution of very high and high-vulnerability areas corresponds well to that of high-arsenic
groundwaters. The DRARCH model is therefore reliable and useful for guiding groundwater environment management. 相似文献
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Groundwater vulnerability is a cornerstone in evaluating the risk of groundwater contamination and developing management options
to preserve the quality of groundwater. Based on the professional model (DRASTIC model) and geographical information system
(GIS) techniques, this paper carries out the shallow groundwater vulnerability assessment in the Zhangye Basin. The DRASTIC
model uses seven environmental parameters (depth to water, net recharge, aquifer media, soil media, topography, impact of
vadose zone, and hydraulic conductivity) to characterize the hydrogeological setting and evaluate aquifer vulnerability. According
to the results of the shallow groundwater vulnerability assessment, the Zhangye Basin can be divided into three zones: low
groundwater vulnerability risk zone (risk index <120); middle groundwater vulnerability risk zone (risk indexes 120–140) and
high risk zone (risk index >140). Under the natural conditions, the middle and high groundwater vulnerability risk zones of
the Zhangye Basin are mainly located in the groundwater recharge zones and the important cities. The high, middle and low
groundwater vulnerability risk zones of the Zhangye Basin cover around 17, 21 and 62% of study area, respectively. 相似文献
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Groundwater is a very important natural resource in Khanyounis Governorate (the study area) for water supply and development.
Historically, the exploitation of aquifers in Khanyounis Governorate has been undertaken without proper concern for environmental
impact. In view of the importance of quality groundwater, it might be expected that aquifer protection to prevent groundwater
quality deterioration would have received due attention. In the long term, however, protection of groundwater resources is
of direct practical importance because, once pollution of groundwater has been allowed to occur, the scale and persistence
of such pollution makes restoration technically difficult and costly. In order to maintain basin aquifer as a source of water
for the area, it is necessary to find out, whether certain locations in this groundwater basin are susceptible to receive
and transmit contamination. This study aims to: (1) assess the vulnerability of the aquifer to contamination in Khanyounis
governorate, (2) find out the groundwater vulnerable zones to contamination in the aquifer of the study area, and (3) provide
a spatial analysis of the parameters and conditions under which groundwater may become contaminate. To achieve that, DRASTIC
model within geographic information system (GIS) environment was applied. The model uses seven environmental parameters: depth
of water table, net recharge, aquifer media, soil media, topography, impact of vadose zone, and hydraulic conductivity to
evaluate aquifer vulnerability. Based on this model and by using ArcGIS 9.3 software, an attempt was made to create vulnerability
maps for the study area. According to the DRASTIC model index, the study has shown that in the western part of the study area
the vulnerability to contamination ranges between high and very high due to the relatively shallow water table with moderate
to high recharge potential, and permeable soils. To the east of the previous part and in the south-eastern part, vulnerability
to contamination is moderate. In the central and the eastern part, vulnerability to contamination is low due to depth of water
table. Vulnerability analysis of the DRASTIC Model indicates that the highest risk of contamination of groundwater in the
study area originates from the soil media. The impact of vadose zone, depth to water level, and hydraulic conductivity imply
moderate risks of contamination, while net recharge, aquifer media, and topography impose a low risk of aquifer contamination.
The coefficient of variation indicates that a high contribution to the variation of vulnerability index is made by the topography.
Moderate contribution is made by the depth to water level, and net recharge, while impact of vadose zone, hydraulic conductivity,
soil media, and Aquifer media are the least variable parameters. The low variability of the parameters implies a smaller contribution
to the variation of the vulnerability index across the study area. Moreover, the “effective” weights of the DRASTIC parameters
obtained in this study exhibited some deviation from that of the “theoretical” weights. Soil media and the impact of vadose
zone were the most effective parameters in the vulnerability assessment because their mean “effective” weights were higher
than their respective “theoretical” weights. The depth of water table showed that both “effective” and “theoretical” weights
were equal. The rest of the parameters exhibit lower “effective” weights compared with the “theoretical” weights. This explains
the importance of soil media and vadose layers in the DRASTIC model. Therefore, it is important to get the accurate and detailed
information of these two specific parameters. The GIS technique has provided an efficient environment for analysis and high
capabilities of handling large spatial data. Considering these results, DRASTIC model highlights as a useful tool that can
be used by national authorities and decision makers especially in the agricultural areas applying chemicals and pesticides
which are most likely to contaminate groundwater resources. 相似文献
15.
松花江佳木斯段潜水脆弱性评价 总被引：3，自引：0，他引：3
鉴于松花江流域地下水的重要性和当前污染,运用改进的DRASTIC模型,对松花江佳木斯段5～10 km范围内潜水进行了脆弱性评价。选取净补给量、包气带介质、含水层厚度、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;采用层次分析法确定各指标权重,结合GIS技术实现了脆弱性分区,并将结果与地下水质评价结果进行对比;最后通过敏感度分析讨论了所选指标的合理性。结果表明:地下水脆弱性相对较低和低脆弱区共占研究区面积的82.76%;较高和高的区域仅占8.13%,主要分布在七水厂、江北水源地以及污染强度较大的点源污染周围。地下水埋深、包气带岩性和地下水开采模数是对潜水脆弱性影响最大的因素。评价结果比较真实地反映了松花江佳木斯段潜水脆弱性状况,对城市规划建设和地下水资源的可持续利用具有指导意义。 相似文献
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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. 相似文献
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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。 相似文献
19.
Assessment of Groundwater Vulnerability in Upper Betwa River Watershed using GIS based DRASTIC Model
Groundwater, the most vital water resource being used for irrigation, domestic and industrial purposes is nowadays under severe threat of contamination. Groundwater contamination risk assessment is an effective tool for groundwater management. In the study, a DRASTIC model which is based on the seven hydrogeological parameters viz: depth of water, net-recharge, aquifer media, soil media, topography, impact of vadose zone and hydraulic conductivity was used to evaluate the groundwater pollution potentiality of upper Betwa watershed. ArcGIS was used to create the ground water vulnerability map by overlaying the seven layers. Based on groundwater vulnerability map, the watershed has been divided in three vulnerable zones viz; low vulnerability zone with 42.83 km2 of area, moderate with 369.21 km2 area and high having 270.96 km2 of area. Furthermore, the DRASTIC model has been validated by nitrate concentration over the area. Results of validation have shown that in low vulnerable zone, no nitrate contamination has been recorded. While in the moderate zone nitrate has been found in the range of 1.6-10ppm. However, in high vulnerable zone 11-40ppm of nitrate concentration in groundwater has been recorded, which proves that the DRASTIC model is applicable for the prediction of groundwater vulnerability in the watershed and in similar areas too. 相似文献
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The present research aims to derive the intrinsic vulnerability of groundwater against contamination using the GIS platform. The study applies DRASTIC model for Ahmedabad district in Gujarat, India. The model uses parameters like depth, recharge, aquifer, soil, topography, vadose zone and hydraulic conductivity, which depict the hydrogeology of the area. The research demonstrates that northern part of district with 46.4% of area is under low vulnerability, the central and southern parts with 48.4% of the area are under moderate vulnerability, while 5.2% of area in the south-east of district is under high vulnerability. It is observed from the study that lower vulnerability in northern part may be mostly due to the greater depth of vadose zone, deeper water tables and alluvial aquifer system with minor clay lenses. The moderate and high vulnerability in central and southern parts of study area may be due to lesser depth to water tables, smaller vadose zone depths, unconfined to semi-confined alluvial aquifer system and greater amount of recharge due to irrigation practices. Further, the map removal and single-parameter sensitivity analysis indicate that groundwater vulnerability index has higher influence of vadose zone, recharge, depth and aquifer parameters for the given study area. The research also contributes to validating the existence of higher concentrations of contaminants/indicators like electrical conductivity, chloride, total dissolved solids, sulphate, nitrate, calcium, sodium and magnesium with respect to groundwater vulnerability status in the study area. The contaminants/indicators exceeding the prescribed limits for drinking water as per Indian Standard 10500 (1991) were mostly found in areas under moderate and high vulnerability. Finally, the research successfully delineates the groundwater vulnerability in the region which can aid land-use policies and norms for activities related to recharge and seepage with respect to existing status of groundwater vulnerability and its quality. 相似文献