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岩溶地区地下水防污性能评价——PI方法 总被引：2，自引：0，他引：2
地下水防污性能评价是保护地下水资源的有效工具.国内外专家进行了许多研究,提出了多种地下水防污性能评价模型,最常用的是DRASTIC模型.但这些模型主要适用于孔隙水地区,对岩溶地区的适应性差.为了研究岩溶地区地下水防污性能,欧洲专家提出了欧洲方法(Europeanapproach).在欧洲方法这个概念模型的基础上,学者提出了多种岩溶地区地下水防污性能评价方法,如PI方法、VULK方法、LEA方法、COP方法和Time-Input方法.本文主要对PI方法进行了较详细的介绍,并指出应用该方法时应注意的问题. 相似文献
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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。 相似文献
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从模型原理、模型计算方法、评价结果三个方面系统地总结了DRASTIC模型的缺陷,并指出国内在地下水防污性能评价上的误区,提出模型的改进方法,在此基础上提出了基于DRASTIC模型的模糊综合评价模型,并应用于九江市的地下水防污性能评价工作,取得了较好的效果。 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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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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Jing Hao Yongxiang Zhang Yangwen Jia Hao Wang Cunwen Niu Yongde Gan Yicheng Gong 《Arabian Journal of Geosciences》2017,10(6):144
Depth to water, net recharge, aquifer media, soil media, topography, impact of the vadose zone media, and hydraulic conductivity of the aquifer (DRASTIC) model based on a geographic information system (GIS) is the most widely adopted model for the evaluation of groundwater vulnerability. However, the model had its own disadvantages in various aspects. In this work, several methods and the technologies have been introduced to improve on the traditional model. The type of the aquifer was replaced by the thickness of the aquifer, and the index of topography was removed. The indexes of the exploitation of the groundwater and the type of land use that reflected the special vulnerability were added to the system. Furthermore, considering the wideness of the study area, the fixed weights in the DRASTIC model were not suitable. An analytic hierarchy process (AHP) method and an entropy weight (Ew) method were introduced to calculate the weights of parameters. Then, the Spearman Rho correlation coefficients between IVI and the Nemerow synthetical pollution index (NI) of the groundwater quality were significantly improved, after the four steps of modification. The level differences with little gaps between Nemerow comprehensive pollution indexes and groundwater vulnerability occupied the proportion of the area from 75.68 to 84.04%, and finally, a single-parameter sensitivity analysis for the two models was used to compute the effective weights of these parameters. By comparison, the DRMSICEL model seems to perform better than the DRASTIC model in the study area. And the results show discrepancies between the vulnerability indices and groundwater quality as indicated by existence of vulnerable areas with bad water quality and vice versa. 相似文献
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Groundwater vulnerability modeling is an alternative approach to evaluate groundwater contamination especially in areas affected by intensive anthropogenic activities. However, the DRASTIC model as a well-known method to assess groundwater vulnerability suffers from the inherent uncertainty associated with its seven essential parameters. In this study, three different fuzzy logic (FL) models (Sugeno fuzzy logic, Mamdani fuzzy logic, and Larsen fuzzy logic) are adopted to improve the DRASTIC system to be more realistic. The vulnerability map of groundwater from multiple aquifer systems (i.e., karstic, alluvium, and complex) in Basara basin, Iraq, was created using the FL models. Validation of the FL models results using NO3-N concentration obtained from wells and springs of the study area indicating that all of the three FL models are applicable for improving the DRASTIC model. However, each of the FL models has its own advantages for groundwater vulnerability estimation in different types of aquifer systems in the Basara basin. Therefore, this study proposes the supervised committee fuzzy logic (SCFL) as a multimodel method to combine the advantages of individual FL models. The SCFL method confirms that no water well with high NO3-N levels would be classified as low risk and vice versa. The study suggests that this approach has provided a convenient estimation of pollution risk in the study area and therefore, a more accurate prediction of the intrinsic vulnerability to pollution in the multiple aquifer system can be achieved through SCFL method. 相似文献
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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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Makram Anane Bessem Abidi Fethi Lachaal Atef Limam Salah Jellali 《Hydrogeology Journal》2013,21(3):715-731
Three vulnerability index models were applied to assess the pollution potential of Nabeul-Hammamet shallow aquifer, Tunisia: DRASTIC, Pesticide DRASTIC and the Susceptibility Index (SI). An output map layer of each one was obtained using a geographic information system (GIS). The SI layer was overlain with DRASTIC and Pesticide DRASTIC and the percentage areas of agreement and divergence in vulnerability categories were extracted. DRASTIC results suggest the aquifer has mostly low vulnerability. Pesticide DRASTIC and SI identify three vulnerability categories (low, moderate, high) in the aquifer. Published data on current chemical groundwater composition indicate that parts of the aquifer are highly contaminated, revealing that DRASTIC underestimates the risk of pollution; Pesticide DRASTIC and SI reflect this risk better. Agreement in vulnerability categories between the two last models is found for 64 % of the aquifer area. To help manage land-use allocation and prevent Nabeul-Hammamet-aquifer contamination, DRASTIC is not recommended. Pesticide DRASTIC and SI are recommended but for slightly different applications. SI helps in the monitoring of current vulnerable areas and, thus, in contamination prevention. Pesticide DRASTIC could better intervene as a criterion in a multi-criteria analysis to select the best sites for specific on-the-ground practice or future land use. 相似文献
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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. 相似文献
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Evaluation of groundwater vulnerability to pollution using DRASTIC framework and GIS 总被引：1，自引：0，他引：1
Groundwater management has a prominent role in the world especially in arid and semi-arid areas which have a shortage of water, and due to this serious problem, many researchers work on that for prevention and managing the water recourses to conserve and monitor sources. DRASTIC index can be put forward for estimating of groundwater vulnerability to such pollution. The main purpose of using the groundwater vulnerability model is to map groundwater susceptibility to pollution in different areas. However, this method has been used in various areas without modification, disregarding the effects of pollution type and characteristics. Thus, this technique must be standardized and approved for Kerman plain. Vulnerability evaluation to explain areas that are more vulnerable to contamination from anthropogenic sources has become a prominent element for land use planning and tangible resource management. This contribution aims at evaluating groundwater vulnerability by applying the DRASTIC index as well as employ sensitivity analyses to evaluate the comparative prominent of the model parameters for groundwater vulnerability in Kerman plain in the southeastern part of Iran. Moreover, the potential of vulnerability to pollution is more accurately assessed by optimizing the weights of the DRASTIC parameters with the single-parameter sensitivity analysis (SPSA). The new weights were calculated. The result of the study revealed that the DRASTIC-Sensitivity analysis exhibit more efficiently than the traditional method for a nonpoint source pollution. Observation of ultimate nitrate showed the result of DRASTIC-SPSA has more accuracy. The GIS method offers an efficient environment for carrying out assessments and greater capabilities for dealing with a huge quantity of spatial data. 相似文献
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Khaled S. Gemail Mohamed El Alfy Mohamed F. Ghoneim Ahmed M. Shishtawy Moheb Abd El-Bary 《Environmental Earth Sciences》2017,76(9):350
DRASTIC indexing and integrated electrical conductivity (IEC) modeling are approaches for assessing aquifer vulnerability to surface pollution. DRASTIC indexing is more common, but IEC modeling is faster and more cost-effective because it requires less data and fewer processing steps. This study aimed to compare DRASTIC indexing with IEC modeling to determine whether the latter is sufficient on its own. Both approaches are utilized to determine zones vulnerable to groundwater pollution in the Nile Delta. Hence, assessing the nature and degree of risk are important for realizing effective measures toward damage minimization. For DRASTIC indexing, hydrogeological factors such as depth to aquifer, recharge rate, aquifer media, soil permeability, topography, impact of the vadose zone, and hydraulic conductivity were combined in a geographical information system environment for assessing the aquifer vulnerability. For IEC modeling, DC resistivity data were collected from 36 surface sounding points to cover the entire area and used to estimate the IEC index. Additionally, the vulnerable zones identified by both approaches were tested using a local-scale resistivity survey in the form of 1D and 2D resistivity imaging to determine the permeable pathways in the vadose zone. A correlation of 0.82 was obtained between the DRASTIC indexing and IEC modeling results. For additional benefit, the obtained DRASTIC and IEC models were used together to develop a vulnerability map. This map showed a very high vulnerability zone, a high-vulnerability zone, and moderate- and low-vulnerability zones constituting 19.89, 41, 27, and 12%, respectively, of the study area. Identifying where groundwater is more vulnerable to pollution enables more effective protection and management of groundwater resources in vulnerable areas. 相似文献
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Evaluation of aquifers vulnerability to contamination in the Yarmouk River basin, Jordan, based on DRASTIC method 总被引：2，自引：0，他引：2
The existing different human activities and planned land uses put the groundwater resources in Jordan at considerable risk. There are evidences suggesting that the quality of groundwater supplies in north Jordan is under threat from a wide variety of point and non-point sources including agricultural, domestic, and industrial. Vulnerability maps are designed to show areas of greatest potential for groundwater contamination on the basis of hydrogeological conditions and human impacts. DRASTIC method incorporates the major geological and hydrogeological factors that affect and control groundwater movement: depth to groundwater (D), net recharge (R), lithology of the aquifer (A), soil texture (S), topography (T), lithology of vadose zone (I), and hydraulic conductivity (C). The main goal of this study is to produce vulnerability maps of groundwater resources in the Yarmouk River basin by applying the DRASTIC method to determine areas where groundwater protection or monitoring is critical. ArcGIS 9.2 was used to create the groundwater vulnerability maps by overlaying the available hydrogeological data. The resulting vulnerability maps were then integrated with lineament and land use maps as additional parameters in the DRASTIC model to assess more accurately the potential risk of groundwater to pollution. The general DRASTIC index indicates that the potential for polluting groundwater is low in the whole basin, whereas the resulting pesticide DRASTIC vulnerability map indicates that about 31% of the basin is classified as having moderate vulnerability, which may be attributed to agricultural activities in the area. Although high nitrate concentrations were found in areas of moderate vulnerability, DRASTIC method did not depict accurately the nitrate distribution in the area. 相似文献
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Groundwater vulnerability assessment and evaluation of human activity impact (HAI) within the Dead Sea groundwater basin,Jordan 总被引：3，自引：2，他引：1
Groundwater vulnerability to contamination was determined within the Dead Sea groundwater basin, Jordan, using the DRASTIC model and evaluation of human activity impact (HAI). DRASTIC is an index model composed of several hydrogeological parameters and, in this study, the recharge parameter component was calculated as a function of rainfall, soil permeability, slope percentage, fault system, and the intersection locations between the fault system and the drainage system, based on the hydrogeologic characteristics of hard-rock terrain in an arid region. To evaluate the HAI index, a land use/cover map was produced using an ASTER VNIR image, acquired for September 2004, and combined with the resultant DRASTIC model. By comparing the DRASTIC and HAI indices, it is found that human activity is affecting the groundwater quality and increasing its pollution risk. The land use/cover map was verified using the average nitrate concentrations in groundwater associated with land in each class. A sensitivity analysis was carried out in order to study the model sensitivity. The analyses showed that the depth to water table and hydraulic conductivity parameters have no significant impact on the model, whereas the impact of vadose zone, aquifer media, and recharge parameters have a significant impact on the DRASTIC model. 相似文献
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地下水防污性能评价方法探讨 总被引：52，自引：0，他引：52
地下水防污性能评价是环境规划和决策的有用工具,国外已有许多研究,也提出了各种计算防污性能指数模型。文中着重介绍使用最广泛的DRASTIC模型,并指出其不足之处。根据中国情况,提出用DRTA模型评价潜水的防污性能,用DLCT模型评价承压含水层的防污性能。DRTA模型包含有地下水埋深、包气带评分介质、包气带评分介质的厚度和含水层厚度4 个因子;DLCT模型包含有承压含水层埋深、隔水层岩性、隔水层的连续性和隔水层厚度4个因子。 相似文献