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1.
《新疆地质》2021,(2)
为掌握和田河流域绿洲区地下水有机污染状况及对人体健康的影响,采样并检测了地下水中37项有机物,运用美国联邦环保署推荐的U.S.EPA模型对地下水有机污染的健康风险进行评估。结果表明,和田河流域绿洲区地下水中只有苯并[a]芘一种有机物被检出,含量0.037 8～0.869 1μg/L,检出率和超标率均为13.3%。该区地下水有机污染程度总体较低,仅局部区域存在地下水苯并[a]芘污染问题。健康风险评估显示,饮用地下水暴露途径下苯并[a]芘对人体健康产生的致癌风险值为3.77E-6～8.66E-5,超出了风险可接受水平。地下水中苯并[a]芘含量控制在3.76E～5μg/L以下可确保绿洲区地下水的饮用安全。 相似文献
2.
太湖流域某地区浅层地下水有机污染特征 总被引：1，自引：0，他引：1
对太湖流域某地区浅层地下水有机污染特征进行了总结，并就污染来源、污染途径和典型污染源附近浅层地下水有机污染特征等问题进行了研究。研究结果表明，该地区浅层地下水中各组分的检出率较高，但检出浓度较低，除苯在个别采样点处超出美国环保局（EPA）饮用水标准外，其余卤代烃和单环芳烃组分均没有超标；平面分布上，卤代烃和单环芳烃各组分的浓度高值点大都集中于该地区东南部的工业区内，这种空间分布特征与工业区的分布具有明显的一致性；垂向上有浅部地下水的污染程度相对较重、深部地下水较轻的特点；典型污染源周边浅层地下水的污染程度较重，但随着采样点远离污染源，地下水中各有机污染组分的浓度迅速衰减。 相似文献
3.
某石油化工污染场地地下水中挥发性有机物污染特征及成因分析 总被引：5，自引：1，他引：4
为了解典型污染场地浅层地下水微量有机污染特征,对西北某省会城市石油化工场地地下水中的挥发性有机污染物（VOCs）污染情况进行了调查。结果表明,污染场地地下水样品中挥发性有机污染物检出率为100%;检出率较高的是氯代烃和苯系物,检出率分别为60%和40%。超标组分为苯和1,2-二氯丙烷,苯超标率为30%,1,2-二氯丙烷超标率10%,苯最大检出浓度达1515μg/L。场地内的原油储存罐、污水隔油池的渗漏以及石油冶炼、机械加工过程工业废水不合理排放均为该场地地下水VOCs的重要来源;VOCs的理化性质以及污染场地地下水防污性能差是影响该场地地下水环境中VOCs归宿的主要因素。 相似文献
4.
5.
地下水有机污染的水文地球化学标志物探讨——以河南油田为例 总被引：4，自引：3，他引：4
经过野外现场调查和取样分析及室内研究得知南阳油田地下水已遭受不同程度的有机物污染，且污染范围可能进一步向油田南部扩散。根据近似地下水流线方向上地下水中总油质量浓度和Fe,Mn等无机组分的变化势态，结合含水介质化学分析结果，发现硫酸盐、Fe和Mn可作为地下水有机污染和地球化学标志物。在含水介质中Fe和Mn质量浓度较高的地方，地下水有机污染物降解速度快，含水介质中Fe和Mn的氧化物和氢氧化物的还原作用导致了含水层介质中Fe和Mn的缺乏和地下水中溶解Fe和Mn的积聚；在含水介质中Fe和Mn质量浓度低的地方，地下水中的有机物质量浓度并没有降低，相应地地下水中溶解Fe和Mn的质量浓度也很低。同时，由于有机污染物的存在使地下水中硫酸盐被还原，导致城下水中硫酸盐质量浓度偏低，且地下水中Fe对有机物污染的敏感性比Mn强。 相似文献
6.
7.
污染场地土壤风险基准值构建与评价方法研究 总被引：5，自引：2，他引：5
基于对国内外土壤风险基准值和风险评价模型的调查，采用多介质暴露评价模型（MMSOILS），分析不同国家和地区土壤风险基准值的差异性和污染场地风险评价的关键要素。选择砷和苯作为评价的目标污染物，利用最不利的场地条件，进行风险值的量化评价，分析风险值随地下水使用点到污染场地距离的远近而发生的变化。利用线性回归，建立土壤风险基准值与健康风险值的量化关系，确立土壤浓度值14．74mg／kg和1．00mg／kg作为砷和苯的土壤风险基准值。 相似文献
8.
我国地下水污染调查建立全流程现代化调查取样分析技术体系 总被引：4，自引：0，他引：4
在实施全国首轮地下水污染调查评价过程中,通过综合攻关和集成创新,建立了调查、取样、测试与质量控制技术体系。研发了系列取样技术,攻克敏感性痕量组分采集技术难题,解决了送样周期问题;借助遥感技术与卫图解读土地利用与污染源分布信息,解析历史污染源分布;集成水土污染快速调查系统,实现现场快速查明污染现状、识别污染源;建立了数据库建设与质量保障技术体系;构建了有机分析测试与质量控制技术平台。提升了我国地下水污染调查技术水平,先后组织了千余人的技术培训,培养了一大批创新型地下水污染调查评价技术专业人才。 相似文献
9.
本文应用污染指数法,对北方某经济开发区及周边地下水水质进行了污染评价,结果表明研究区地下水水质以轻污染和中污染为主,局部地区出现较重污染,主要指标为硝酸盐氮、三氯甲烷和三氯乙烯。通过对工业废水、再生水、河水水质的检测,发现研究区地表水水质与污水处理厂再生水排放密切相关,地下水污染很可能与开发区企业排污有关。由于开发区所处位置的环境敏感性和脆弱性,建议今后在开发区及附近继续开展相关研究,进一步查明地下水的硝酸盐氮及有机污染物来源、污染途径,建立完善的监测体系,以便及时切断污染源,保障城市及当地供水安全。 相似文献
10.
为进一步明确污泥土地利用过程中新型有机污染物—药物和个人护理用品（PPCPs）对地下水污染的风险,采用数学模型初步预测和评价了29种PPCPs在砂土和壤土2种介质条件下对地下水污染的风险。结果表明：砂土条件下,环丙沙星、氧氟沙星、土霉素、诺氟沙星和咖啡因等5种PPCPs的风险指数大于1,具有高地下水污染风险,其中,除咖啡因外,其余4种PPCPs均为抗生素类药物,应加强其在地下水中的监测和防控。壤土条件下,29种PPCPs对地下水均表现为低污染风险。吸附强度是影响PPCPs对地下水污染风险的最主要因素。PPCPs在包气带中的半衰期、有机碳-水分配系数、土壤密度、有机碳含量、含有机质的上层土壤层厚度是模型主要的敏感参数。不确定性分析显示,PPCPs的有机碳-水分配系数和其在包气带中的半衰期的改变对地下水污染风险评价结果影响较大。验证表明,地下水污染风险指数越大的PPCPs在地下水中的检出率也越高,说明评价结果具有一定的合理性。今后应加强对PPCPs降解产物、地下水中安全浓度值、共存PPCPs相互作用及介质非均质性影响等方面的研究,以便更加精确地评价PPCPs对地下水污染的风险。 相似文献
11.
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
12.
Vulnerability of groundwater in Quaternary aquifers to organic contaminants: a case study in Wuhan City,China 总被引：5，自引：0，他引：5
Yanxin Wang Broder J. Merkel Yilian Li Hui Ye Surong Fu Dana Ihm 《Environmental Geology》2007,53(3):479-484
More than 30 organic contaminants were detected in shallow groundwaters at Wuhan, the largest city in central China. Seriously
contaminated groundwaters were from densely populated, industrial and commercial areas. Abnormal concentrations were found
in groundwater from Hankou, downtown Wuhan: trimethylbenzene up to 29 μg/L, tetramethylbenzene up to 866 μg/L, and trichloroethene
up to 9.5 μg/L. Benzene, Toluene, Ethylene and Xylene (BTEX) contamination of groundwater is serious and widespread at Wuhan,
ranging between 0.14 and 25.0 μg/L. Considering the hydrogeological conditions of most Chinese cities, DRAMIC, a modified
version of the widely used DRASTIC model, was proposed by the authors for assessing vulnerability of groundwater to contamination.
The factors D, R, A and I in DRAMIC model are the same as in DRASTIC. The factor topography is ignored. The factor soil media is substituted by a new factor aquifer thickness (M) and the factor hydraulic conductivity of the aquifer by a new factor impact of contaminant (C). The equation for determining the DRAMIC Index is: DRAMIC = 5D
R + 3R
R + 4A
R + 2M
R + 5I
R + 1C
R. The calculated DRAMIC Index can be used to identify areas that are more likely to be susceptible to groundwater contamination
relative to each other. The higher the DRAMIC Index is, the greater the groundwater pollution potential. Applying DRAMIC,
a GIS-based vulnerability map for Wuhan city was prepared. Interestingly, places such as downtown Hankou, where enhanced concentrations
of BTEX have been detected, correspond quite well with those with higher DRAMIC ratings. 相似文献
13.
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
14.
Vulnerability mapping of shallow groundwater aquifer using SINTACS model in the Jordan Valley area, Jordan 总被引：1，自引：0，他引：1
Jordan Valley is one of the important areas in Jordan that involves dense agricultural activities, which depend on groundwater resources. The groundwater is exploited from an unconfined shallow aquifer which is mainly composed of alluvial deposits. In the vicinity of the Kafrein and South Shunah, the shallow aquifer shows signs of contamination from a wide variety of non-point sources. In this study, a vulnerability map was created as a tool to determine areas where groundwater is most vulnerable to contamination. One of the most widely used groundwater vulnerability mapping methods is SINTACS, which is a point count system model for the assessment of groundwater pollution hazards. SINTACS model is an adaptation for Mediterranean conditions of the well-known DRASTIC model. The model takes into account several environmental factors: these include topography, hydrology, geology, hydrogeology, and pedology. Spatial knowledge of all these factors and their mutual relationships is needed in order to properly model aquifer vulnerability using this model. Geographic information system was used to express each of SINTACS parameters as a spatial thematic layer with a specific weight and score. The final SINTACS thematic layer (intrinsic vulnerability index) was produced by taking the summation of each score parameter multiplied by its specific weight. The resultant SINTACS vulnerability map of the study area indicates that the highest potential sites for contamination are along the area between Er Ramah and Kafrein area. To the north of the study area there is a small, circular area which shows fairly high potential. Elsewhere, very low to low SINTACS index values are observed, indicating areas of low vulnerability potential. 相似文献
15.
D Anantha Rao Pradeep K Naik Sunil K Jain K Vinod Kumar E N Dhanamjaya Rao 《Journal of Earth System Science》2018,127(4):49
Assessment of groundwater vulnerability to pollution is an essential pre-requisite for better planning of an area. We present the groundwater vulnerability assessment in parts of the Yamuna Nagar District, Haryana State, India in an area of about \(800 \hbox { km}^{2}\), considered to be a freshwater zone in the foothills of the Siwalik Hill Ranges. Such areas in the Lower Himalayas form good groundwater recharge zones, and should always be free from contamination. But, the administration has been trying to promote industrialization along these foothill zones without actually assessing the environmental consequences such activities may invite in the future. GIS-DRASTIC model has been used with field based data inputs for studying the vulnerability assessment. But, we find that inclusion electrical conductivity (EC) as a model parameter makes it more robust. Therefore, we rename it as GIS-DRASTIC-EC model. The model identifies three vulnerability zones such as low, moderate and high with an areal extent of 5%, 80% and 15%, respectively. On the basis of major chemical parameters alone, the groundwater in the foothill zones apparently looks safe, but analysis with the help of GIS-DRASTIC-EC model gives a better perspective of the groundwater quality in terms of identifying the vulnerable areas. 相似文献
16.
特殊脆弱性分析评价是实现定量研究地下水受某种特定污染物威胁的有效手段。文章以佳木斯市七水源地为研究对象,在分析区域水文地质条件的基础上,选取地下水防污性能评价模型（DRASTIC）用于研究区固有脆弱性的评价,侧重分析区内土地利用类型、稳定开采条件下的地下水水位降深等人为因素,以及典型污染物氨氮在特定介质中的通量这一特殊人类活动因素,构建了水源地特殊脆弱性评价模型。以研究区内28组浅层地下水样品中氨氮浓度和对应采样点特殊脆弱性指数之间的相关性来评估模型的可靠性,计算结果显示二者相关系数为0.67,具有较好的相关性,说明该评价系统可靠。特殊脆弱性计算结果显示研究区内以中等以下脆弱性为主,其中水源开采区和西南丘陵区特殊脆弱性较高,计算结果有助于实现水源地的科学管理。 相似文献
17.
A model for the assessment of aquifer contamination potential based on regional geologic framework 总被引：2，自引：0，他引：2
The texture and three-dimensional framework of geologic materials should be considered in assessments of groundwater's vulnerability to contamination because geology controls the movement of contaminants and groundwater and influences groundwater quality. Contaminants are introduced into, transmitted through, and stored by geologic materials. We present a model that identifies aquifers and ranks sequences of geologic materials by their relative potential for transmitting water and contaminants from land surface. With this basis, the model can be used to assess the potential for contamination of aquifers by surface activities such as landfitling of wastes or application of agricultural chemicals. A regional map of aquifer contamination potential can be generated from the model; it retains the geologic map information intact and available for reinterpretation or other uses.The model was developed using broad, regional map information and is intended to be a general tool for assessing the regional vulnerability of aquifers to contamination. It is not intended for local, site-specific use, but for prioritizing local areas where contamination potential and/or land-use history warrant more detailed assessment or monitoring. Because it provides a regional view of contamination potential, regional patterns or trends of map units should be evaluated, rather than using the map information literally to assess local areas. Methods of applying this model and contamination potential map to groundwater protection and management are currently being studied; research includes an attempt to statistically validate the model with water-quality data, and to identify natural groupings of the ranked contamination potential map units. 相似文献
18.
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
19.
Groundwater resources are vulnerable to contamination especially in shallow aquifers. The aquifer hydrogeological parameters and the Land Uses category combinations lead to subdivide areas according to their contamination likelihood. In arid and semi-arid regions, shallow aquifers are more exposed to groundwater contamination due to high population densities (extensive uses) and agricultural activities (nitrate contamination). Moreover, these regions are characterized by low rainfall and high evaporation. Furthermore, the spread of farmland, industrial and domestic sectors, is the principal contaminant producer which threats the groundwater quality. To protect these limited resources, the groundwater vulnerability assessment was developed in Maritime Djeffara shallow aquifer (Southeastern Tunisia). The study area is essentially occupied by agricultural areas (intensive use of chemical fertilizers) in addition to the discharge of industrial zones. The main objective of this study is to assess the aquifer vulnerability using the Susceptibility Index (SI) method as a specific vulnerability model. The results show that the study area is classified into five classes of vulnerability: very low, low, medium, high, and very high (1.54, 20, 41.54, 35.9, and 1.02%, respectively) with an uneven spatial distribution. The risk results exhibit three degrees: low, moderate, and high. The validation of the vulnerability model was performed by using salinity values and nitrate concentrations with a correlation coefficient of about 57 and 55%, respectively. This study could serve as a scientific basis for sustainable land use planning and groundwater management in the study area. 相似文献
20.
Groundwater resources have become more vulnerable to contamination due to rapid population growth and economic development. This study aimed to assess the groundwater contamination risk in the Weining Plain, China. Based on the specific conditions of the Weining Plain, a new model DRTSWI with a weighting scheme determined by analytic hierarchy process was developed to evaluate the intrinsic groundwater vulnerability for the study area. An integrated approach, combining the toxicity, the release possibility, and the potential release quantity of the pollutants, was used to estimate the pollution loading. The groundwater contamination risk results were obtained by overlaying the intrinsic vulnerability and pollution loading maps. These indicated that two industrial parks pose the main threat to groundwater quality, due to their unfavorable hydrogeological setting and potential pollution sources on the surface. Some areas in and around the industrial parks exhibit groundwater pollution, which was identified on the contamination risk map using buffer analysis. High risk areas are industries with high or medium vulnerability. The vulnerability and contamination risk maps developed for this study are valuable tools for environmental planning and can be used for predictive management of groundwater resources. 相似文献