共查询到20条相似文献，搜索用时 78 毫秒
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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 相似文献
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张集地区地下水易污性及污染风险评价 总被引：7，自引：1，他引：6
文章在地下水易污性和污染风险评价方法的基础上,根据张集地区的水文地质状况和土地利用情况,建立了地区地下水易污性和污染风险评价的指标方法:GRADIC法和GRADICL法,并利用GIS/Arcinfo软件对地区地下水易污性和污染风险进行评价,得到张集地区地下水易污性指数和污染风险指数及其分布图。评价结果对于张集地区地下水合理开发利用、科学管理和有效保护,实现地区地下水资源的可持续利用具有实际意义。 相似文献
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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. 相似文献
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《Scientia Geologica Sinica》1998,(1)
ＰＡＬＥＯＫＡＲＳＴＩＦＩＣＡＴＩＯＮＡＮＤＲＥＳＥＲＶＯＩＲＣＨＡＲＡＣＴＥＲＩＳＴＩＣＳＯＦＴＨＥＬＯＷＥＲＯＲＤＯＶＩＣＩＡＮＤＯＬＯＭＩＴＥＩＮＴＨＥＮＯＲＴＨＯＦＴＡＲＩＭＢＡＳＩＮ,ＸＩＮＧＪＩＡＮＧＣｈｅｎＨｏｎｇｄｅ,ＺｈａｎｇＪｉｎ... 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
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地下热水调查中物探、化探方法及合理工作程序的研究ＳＴＵＤＩＥＳＯＮＧＥＯＰＨＹＳＩＣＡＬＡＮＤＣＥＯＣＨＥＭＩＣＡＬＭＥＴＨＯＤＳＡＮＤＲＡＴＩＯＮＡＬＷＯＲＫＩＮＧＰＲＯＣＥＤＵＲＥＩＮＵＮＤＥＲＱＲＯＵＮＤＨＯＴＷＡＴＥＲＳＵＲＶＥＹ本研究系部重... 相似文献
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《Scientia Geologica Sinica》1998,(1)
ＡＳＴＵＤＹＯＦＭＯＤＥＬＳＯＦＭＩＣＲＯＳＴＲＡＴＩＧＲＡＰＨＹＯＦＣＯＡＬＳＥＡＭＳＺｈａｎｇＹｏｕｓｈｅｎｇ,ＱｉｎＹｏｎｇ,ＣｈｅｎＪｉａｌｉａｎｇａｎｄＺｅｎｇＹｏｎｇＣｏｌｅｇｅｏｆＭｉｎｅｒａｌＲｅｓｏｕｒｃｅｓａｎｄＥｎｖｉｒｏｎｍ... 相似文献
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《Scientia Geologica Sinica》1998,(1)
ＡＧＥＯＬＯＧＩＣＡＬＳＴＵＤＹＯＮＳＴＯＮＥＡＮＣＨＯＲＳＦＯＵＮＤＩＮＴＨＥＷＥＳＴＥＲＮＣＯＡＳＴＯＦＦＳＨＯＲＥＯＦＣＡＬＩＦＯＲＮＩＡＦａｎｇＡｉｍｉｎ,ＬｉＪｉｌｉａｎｇ,ＬｉｕＸｉａｏｈａｎａｎｄＸｕＷｅｎｌｉＬａｂｏｒａｔｏｒｙｏｆＬ... 相似文献
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Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area,Iran 总被引：7，自引：4，他引：3
Aminreza Neshat Biswajeet Pradhan Saied Pirasteh Helmi Zulhaidi Mohd Shafri 《Environmental Earth Sciences》2014,71(7):3119-3131
Groundwater contamination from intensive fertilizer application affects conservation areas in a plain. The DRASTIC model can be applied in the evaluation of groundwater vulnerability to such pollution. The main purpose of using the DRASTIC model is to map groundwater susceptibility to pollution in different areas. However, this method has been used in various areas without modification, thereby disregarding the effects of pollution types and their characteristics. Thus, this technique must be standardized and be approved for applications in aquifers and particular types of pollution. In this study, the potential for the more accurate assessment of vulnerability to pollution is achieved by correcting the rates of the DRASTIC parameters. The new rates were calculated by identifying the relationships among the parameters with respect to the nitrate concentration in groundwater. The methodology was implemented in the Kerman plain in the southeastern region of Iran. The nitrate concentration in water from underground wells was tested and analyzed in 27 different locations. The measured nitrate concentrations were used to associate and correlate the pollution in the aquifer to the DRASTIC index. The Wilcoxon rank-sum nonparametric statistical test was applied to determine the relationship between the index and the measured pollution in Kerman plain. Also, the weights of the DRASTIC parameters were modified through the sensitivity analysis. Subsequently, the rates and weights were computed. The results of the study revealed that the modified DRASTIC model performs more efficiently than the traditional method for nonpoint source pollution, particularly in agricultural areas. The regression coefficients showed that the relationship between the vulnerability index and the nitrate concentration was 82 % after modification and 44 % before modification. This comparison indicated that the results of the modified DRASTIC of this region are better than those of the original method. 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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K. Srinivasamoorthy K. Vijayaraghavan M. Vasanthavigar V. S. Sarma R. Rajivgandhi S. Chidambaram P. Anandhan R. Manivannan 《Arabian Journal of Geosciences》2011,4(7-8):1215-1228
A study was carried in Mettur taluk, Salem district of Tamilnadu, India to develop a DRASTIC vulnerability index in GIS environment owing to groundwater pollution with increasing population, industries, and agricultural activities. Seven DRASTIC layers were created from available data (depth to water table, net recharge, aquifer media, soil media, topography, impact of vadose zone, and hydraulic conductivity) and incorporated into DRASTIC model to create a groundwater vulnerability map by overlaying the hydrogeological parameters. The output map indicates southwestern part of the study area with high pollution potential, northern and northwestern parts as moderate pollution potential and northeastern parts as low and no risk of pollution potential. For validating the vulnerability assessment, a total of 46 groundwater samples were collected from different vulnerability zones of the study area for two different seasons (pre- and post-monsoon) and analyzed for major anions and cations. Higher ionic concentrations were noted in wells located near highly industrialized, urbanized, and agricultural active zones. The water types represent Na–Mg–HCO3 and Na–Cl–HCO3 type indicating dominance of anthropogenic-related activities. Nitrate and chloride were demarcated as pollution indicators and correlated with DRASTIC vulnerability map. The results show that southwestern, northwestern, and northern parts of the study area recorded with high and moderate vulnerable zones, record higher nitrate values. In contrast to DRASTIC method predicted, low vulnerable zones show higher chloride concentration may be due to agricultural and urban development. 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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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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A GIS-based DRASTIC model for assessing groundwater vulnerability in the Ordos Plateau, China 总被引：6，自引：2，他引：4
Lihe Yin Eryong Zhang Xiaoyong Wang Jochen Wenninger Jiaqiu Dong Li Guo Jinting Huang 《Environmental Earth Sciences》2013,69(1):171-185
Groundwater plays a key role in arid regions as the majority of water is supplied by it. Groundwater pollution is a major issue, because it is susceptible to contamination from land use and other anthropogenic impacts. A study was carried out to build a vulnerability map for the Ordos Plateau using the DRASTIC model in a GIS environment. The map was designed to show the areas of the highest potential for groundwater pollution based on hydrogeological conditions. Seven environmental parameters, such as depth to water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone media, and hydraulic conductivity of the aquifer, were incorporated into the DRASTIC model and GIS was used to create a groundwater vulnerability map by overlaying the available data. The results of this study show that 24.8 % of the study area has high pollution potential, 24.2 % has moderate pollution potential, 19.7 % has low pollution potential, and the remaining 31.3 % of the area has no risk of groundwater pollution. The regional distribution of nitrate is well correlated with the DRASTIC vulnerability index. In contrast to this, although the DRASTIC model indicated that the western part had no risk, nitrate concentrations were higher in some of these areas. In particular, higher nitrate concentrations were recorded along river valleys and around lakes, such as the Mulin River valley. This is mainly caused by the intensive agricultural development and favorable conditions for recharge along river valleys. 相似文献
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Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment 总被引：1，自引：0，他引：1
Mimoun Boughriba Alae-eddine Barkaoui Yassine Zarhloule Zakariae Lahmer Boubker El Houadi Massimo Verdoya 《Arabian Journal of Geosciences》2010,3(2):207-220
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. 相似文献
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As a systematic approach to waste disposal site screening for groundwater pollution protection, the DRASTIC system developed by the US Environmental Protection Agency (USEPA), was introduced at Younggwang County in Korea. Hydrogeological spatial databases for the system include information on depth to water, net recharge, aquifer media, soil media, topographic slope, hydraulic conductivity and lineament. Using the databases, the DRASTIC system and a GIS, the regional groundwater pollution vulnerability of the study area was assessed. The fracture density extracted from lineament maps was added to the DRASTIC system to take into account the preferential migration of contaminants through fractures. From the results of the study, a degree of groundwater pollution vulnerability through the study area was easily interpreted, and waste disposal sites could be screened for groundwater protection. 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