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西辽河平原(内蒙古部分)地下水固有脆弱性评价 总被引：3，自引：0，他引：3
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。 相似文献
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地下水的资源功能与易遭污染脆弱性空间关系研究 总被引：3，自引：1，他引：3
本文以滹滏平原为研究区,从地下水资源功能和地下水易遭污染脆弱性内在联系为切入点,采用统计分析的方法,探讨地下水的资源功能与易遭污染脆弱性关系.结果表明,当地下水资源功能为一般时,地下水易遭污染脆弱性为一般或较低;地下水资源功能强或较弱时,地下水易遭污染脆弱性较高;地下水资源功能较强和弱时,地下水易遭污染脆弱性较低.当地下水易遭污染脆弱性一般时,地下水资源功能为一般或较强;地下水易遭污染脆弱性高或低时,地下水资源功能较弱;地下水易遭污染脆弱性较高或较低时,地下水资源功能强或较弱.然后从地下水补给和含水层状况等二者之间共有的评价指标分析了地下水资源功能较低和脆弱性低时形成多种对应关系的机理. 相似文献
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城市周边地下水系统脆弱性评价——以栾城县为例 总被引：2，自引：1，他引：2
地下水脆弱性评价作为保护地下水资源的重要手段，自上世纪70年代以来，越来越多的科研人员开始相关研究工作，本文在参阅以往相关文献的基础上，结合我国存在大面积污水灌溉区，且污灌区主要集中在城市周边的实际情况，在确定这类区域地下水脆弱性评价方法、评价指标及其权重的基础上，以河北省栾城县为例，对这类区域地下水系统进行脆弱性评价。 相似文献
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利用淮北平原180个浅层地下水观测点实测埋深资料,在绘制区域多年平均地下水埋深、枯水年、丰水年地下水埋深等值线图的基础上,分析各年型浅层地下水埋深分布特点,同时对大埋深站点分布情况进行专项分析。得出淮北平原浅层地下水多年平均为2.48 m,且西北深、东南浅的分布结论,可为合理高效开发利用淮北平原浅层地下水提供一定参考。 相似文献
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《地下水》2021,(3)
研究区位于黔中经济区,是未来贵州省发展重心。为防止区域地下水污染,合理开发利用与保护地下水资源,根据系统内实际情况选择评价因子,采用层次分析法(AHP)量化各评价因子并确定各因子权重,参照《地下水脆弱性评价技术要求》(GWI-D3),并结合研究区实际,将区域地下水环境脆弱性划分为脆弱性很低、脆弱性较低、脆弱性较高低、脆弱性很高和脆弱性极高五个等级。按照分区结果及评价方法,对犀牛洞地下河系统的地下水脆弱性进行评价,结果显示:犀牛洞地下河系统内的石灰岩溶洞-管道含水介质分布区和白云岩溶孔-溶隙分布区地下水脆弱性很高,部分区域地下水已经受到污染。碎屑岩分布区天然防护能力高,地下水脆弱性较低。评价结果为区域地下水资源科学管理提供了基础依据。 相似文献
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淮北平原位于安徽省北部,地处黄淮海平原南侧,地表水资源匮乏,地下水资源为主要供水水源。随着工业化、城市化水平不断提高,地下水环境问题尤为突出。本文以淮北平原2017年浅层地下水水质监测数据为依据,对该区域浅层地下水水质情况进行评价并分析水质变化原因。结果表明:该区域浅层地下水主要以Ⅳ、Ⅴ类水为主,Ⅲ类及以上水分布较少,浅层地下水水质状况较差,应继续加强淮北地区地下水资源监测工作,重视地下水污染防治工作,保证区域水资源安全,实现地下水资源可持续开发利用。 相似文献
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安徽省淮北平原广泛分布着宜于利用的浅层地热能,具有以地下水换热方式开发利用的前景。本文利用层次分析(AHP)法,以MapGIS、Access为平台,评价安徽省淮北平原浅部(评价深度50m)地下水换热系统适宜性。参考国内外最新研究成果,结合评价区地质环境特点,在评价因素分类、等级划分和评价指数分级等方面进行了深入研究,评价结果体现了浅部孔隙水系统的基本特点,具有较强的规律性。 相似文献
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Assessment of shallow groundwater vulnerability in Dahei River Plain based on AHP and DRASTIC 
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下载免费PDF全文 Based on the special hydrogeological conditions of the Dahei River Plain in the Inner Mongolia area, assessment of shallow groundwater vulnerability is conducted based on DRASTIC model. Each evaluation indicator weight is determined by using analytic hierarchy process (AHP). The most important indicators are lithology in soil media and vadose zone. Assessment model of shallow groundwater vulnerability of the Dahei River plain is constructed. Distribution map of vulnerability index in this area is made with the spatial analysis function of ARCGIS. The results show that the particularly sensitive area is the piedmont of the Daqing Mountain, where the upstream place of the groundwater and the south-central place of the plain has the lowest vulnerability. The assessment results are more in accordance with the actual vulnerability conditions of this area by using analytic hierarchy process, and is helpful for groundwater protection. 相似文献
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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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松嫩平原地下水脆弱性模糊综合评价 总被引：7，自引：1，他引：6
运用基于DRASTIC的模糊综合评价方法,对松嫩平原潜水的脆弱性进行了评价。分析了松嫩平原地下水环境脆弱性的主要影响因素,建立准确、适宜和完整的评价指标体系,确定最主要的7个水文地质参数。将研究区划分为75个评价单元,构建各单元归属于各个级别的最优相对隶属度矩阵,得出松嫩平原脆弱区和较脆弱区主要分布在王府-伏龙泉高台地、各条主要河流两岸及其较大支流河漫滩、低阶地以及中部的低平原地区;高平原地区和五大连池的玄武岩地区为难污染区和略难污染区的结论。 相似文献
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基于GIS的DRASTIC下辽河平原地区地下水防污性评价 总被引：1，自引：0，他引：1
在运用基于GIS的DRASTIC评价方法,对下辽河平原潜水的防污性进行评价的过程中,分析了影响下辽河平原固有防污性的最主要的7个水文地质参数,分别评价各个因子.利用GIS的空间分析功能中区对区的合并分析功能,依次对各单指标分级图进行区合并操作,合并后生成区文件,绘制出防污性分布图.结果表明,防污性能较差区主要分布在下辽河平原河谷地带,面积2 993.51 km2,占全区总面积的12.78%.评价结果有利于合理利用土地,有效保护地下水资源和防止地下水污染. 相似文献
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Groundwater vulnerability assessment in coastal plain of Rio Grande do Sul State,Brazil, using drastic and adsorption capacity of soils 总被引：1，自引：0，他引：1
Groundwater vulnerability assessment to delineate areas that are more susceptible to contamination has become an important
element for resource management and land use planning. The objective of this work was to integrate hydrogeologic data in a
geographic information system (GIS) for phreatic groundwater vulnerability assessment of a pilot area from the Coastal Plain
of the Rio Grande do Sul State, Brazil, using the DRASTIC method and adsorption capacity of soils. The studied ions were copper,
lead, sulfate and phosphate. Using the original DRASTIC method, the vulnerability presented high values, mainly due to the
texture of the sediments and the low depths of waters, which favor the accessibility of the contaminants to the groundwaters.
DRASTIC with adsorption capacity of soils showed specifics results for each studied ion. Groundwater vulnerability to metals
in relationship to anions was lower. These results show that the original DRASTIC method represents better contaminants with
high mobility.
An erratum to this article can be found at 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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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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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