共查询到19条相似文献，搜索用时 93 毫秒
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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：2，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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岩溶地下水是贵州省六盘水市的重要供水水源,但针对该地区的岩溶地下水脆弱性评价,尤其是城镇化区域的岩溶地下水脆弱性评价尚未见报道.运用改进的径流-覆盖层-降雨（COP）模型,利用RS及GIS技术对水城盆地的土壤类型、土地利用/覆盖类型、降水量数据进行处理,研究了岩溶地下水脆弱性评价的城镇化因子.结果显示,2004~2016年间,研究区地下水固有脆弱性整体呈现出由中脆弱性向低脆弱性转变的趋势,脆弱性降低的区域与城镇化过程中增加的不透水地面区域相一致;表明不透水地面有效地阻碍了地表污染物进入地下,降低了地下水固有脆弱性.本结果为水城盆地岩溶水资源管理提供了重要依据. 相似文献
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基于改进的DRASTIC模型对香溪河典型岩溶流域地下水脆弱性评价 总被引：1，自引：0，他引：1
南方岩溶流域的地表水与地下水转换频繁,地下水环境对人类活动响应敏感,地下水环境脆弱。为探索岩溶流域地下水脆弱性评价的方法,以岩溶流域为评价对象,选取植被覆盖率、地形坡度、土壤类型、地下水水位埋深、地下水补给模数、土地利用类型6个指标,通过改进DRASTIC模型的评价指标体系,建立了基于VTSDRL模型的岩溶流域地下水脆弱性评价指标体系。以香溪河岩溶流域地下水为例,利用层次分析法计算了评价指标权重,基于地理信息系统的叠加分析功能对香溪河岩溶流域地下水脆弱性进行了定量评价。结果表明:香溪河岩溶流域地下水脆弱性以中等脆弱区为主,占比达到86.6%;地下水补给模数和土地利用类型对地下水脆弱性的影响作用最强,地下水脆弱性高的区域主要分布于溶丘洼地区,其面临农业活动污染的风险最大。该研究可为我国南方岩溶流域地下水脆弱性评价和岩溶水资源保护提供参考。 相似文献
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DRASTIC模型评价地下水系统脆弱性中的GIS应用——以河北沧州地区为例 总被引：1，自引：0，他引：1
地下水是水资源的重要组成部份,地下水污染危害人的健康,影响人们的生产和生活,查明某一地区地下水容易受污染的可能性即地下水脆弱性,能为管理决策部门提供合理开发地下水资源,防治地下水污染的科学规划和管理依据。在脆弱性评价工作中,应用GIS技术完成地下水系统脆弱性编图,并进行地下水环境保护功能分区,是查明某一示范区地下水脆弱性的可靠手段和科学依据。本文以河北省沧州地区为例,以DRASTIC模型的七项评价因子为脆弱性评价指标,利用MAPGIS为平台实现地下水脆弱性编图,方便从事地下水工作的管理人员及时掌握地下水污染动态、空间分布及演化趋势。 相似文献
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基于熵权与GIS耦合的DRASTIC地下水脆弱性模糊优选评价 总被引：3，自引：1，他引：2
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。 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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A detailed hydrogeological and hydrochemical study was carried out in Yamuna-Krishni sub-basin which is a part of the vast
central Ganga plain. Groundwater is the major source of water supply for agricultural, domestic and industrial uses. The excess
use of groundwater has resulted in depletion of water levels. The groundwater quality, too, has deteriorated in areas dominated
by industrial activity. This has led to the preparation of a groundwater vulnerability map in relation to contamination. Groundwater
vulnerability maps are valuable derivative maps that show, quantitatively or qualitatively, certain characteristics of the
sub-surface environment that determine vulnerability of groundwater to contamination. The modified DRASTIC method was used
to prepare vulnerability map. The parameters like depth to water, net recharge, aquifer media, soil media, impact of vadose
zone, hydraulic conductivity and land use pattern, owing to its bearing on groundwater regime, were considered to prepare
vulnerability map. The vulnerability index is computed as the sum of the products of weight and rating assigned to each of
the input considered as above. The vulnerability index ranges from 140 to 180, and is classified into four classes i.e. 140–150,
150–160, 160–170 and 170–180 corresponding to low, medium, high and very high vulnerability zones respectively. Using this
index, a groundwater vulnerability potential map was generated which shows that 7%, 40% and 53% of the study area falls in
low, medium and high to very high vulnerability zones respectively. The map, thus generated, can be used as a tool for protection
and management of aquifers from contamination. 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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地下水污染脆弱性是指污染物自顶部含水层以上某一位置到达地下水系统中某一特定位置的趋势和可能性,进一步分为固有脆弱性和特殊脆弱性。地下水污染脆弱性受地下水流系统和地球化学系统的影响和控制。其主要评价方法有主观分级评价法、统计或基于过程的评价法和综合评价法三大类。中国地下水污染脆弱性评价已有很好的工作基础,评价工作中应以地下水系统为单元,以饮用水井、集中供水水源地、区域含水层系统的补给区为重点保护目标,评价方法应综合区域地下水流系统的过程分析和指数评价方法,并利用已有的区域水质资料进行检验,增强评价结论的科学性和可靠性。 相似文献
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This study outlines an improved method, MLPI (modified leaching potential index) model, for delineating and mapping groundwater vulnerability and assessing groundwater vulnerability to contaminants, including degradable contaminants, radioactive elements and nondegradable pollutants. The primary objective is to produce specific sensitivity maps at city or county scale that can be used for recognition of aquifer sensitivity and for protection of groundwater quality. Groundwater vulnerability assessment using the MLPI method is applied to Datong city, Shanxi Province, with the following conclusions: (1) specific vulnerability was differentiated and ; (2) groundwater vulnerability is of temporal variation. 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