用模糊综合评价法确定地下水污染状况

本文按污染源不同在对地下水水质分类的基础上.利用模糊综合评价方法.对该区地下水水质污染状况进行了评价,并论述各区地下水水质污染的主要原因。     

黄河下游平原地下水有机污染特征分析

以大量的地下水测试数据为基础,从污染源分布及水文地质条件入手,对黄河下游平原地下水中有机污染物类型及污染程度进行了深入研究。黄河下游平原地下水普遍受到有机物污染并形成多个典型有机污染区,有机物总检出率为35．5％,检出的有机污染物种类达29种,单个样品检出的有机物种类最多达19种,部分有机物含量超过地下水饮用标准,致使地下水质量恶化。地下水污染区的分布及污染程度与污染源的种类和分布具有很好的相关性。     

可变模糊理论与模糊粗糙集在地下水污染评估中的应用

传统的地下水污染评估方法需检测多项地下水化学变量,成本较高且无法考虑水质指标区间量值的影响。为此,笔者利用可变模糊理论对地下水污染进行综合评估,在此基础上通过模糊粗糙集理论挖掘关键变量,并利用生成的最小决策规则库对样品点的污染综合指数进行预测。将该方法应用于洛阳盆地,对其有效性进行验证,计算结果表明:As、Hg、Se、I、NH3-N对研究区地下水污染分类起控制作用。通过与实测的13种化学变量所计算的地下水污染综合指数相比,测试数据中7组样品的相对误差为0.104 0～0.172 5;剩余15组样品的相对误差为0.001 5～0.093 7,基本满足地下水污染评估的要求。可变模糊集与模糊粗糙集理论能够通过较少的化学变量对污染综合指数进行预测,从而降低地下水污染评估成本,为后续的地下水污染控制与修复提供可靠的数据来源。     

桂江流域地下水污染途径及防控措施研究

对桂江流域开展岩溶地下水污染调查发现:流域内地下水污染源分为“三氮”污染源、重金属污染源、有机污染源三类;“三氮”污染源主要包括工业、养殖和生活三类污水、生活垃圾渗滤液、农业施用氮肥等;重金属污染主要来自工矿企业;有机污染来自工业、养殖业。污染途径主要有孤峰平原的分散入渗式、孤峰平原的脚洞灌入式、峰丛洼地的消水洞灌入式、溶丘谷地的入渗式和峰丛峰林谷地的天窗灌入式等五类。并对88组地下水样品测试结果进行多指标地下水污染综合评价,结果表明36.5%的水点为“三氮”污染,多以分散入渗进入地下水,其污染形态呈面状分布;15.3%的水点为重金属污染,主要通过峰丛洼地消水洞灌入式补给和溶丘谷地入渗补给两种途径,呈点状分布于污染场地附近;3.49%的水点为有机污染,主要为分散入渗补给途径,污染呈短线状或点状分布。      

地下水污染源识别的数学方法研究进展

地下水污染源识别模型可利用有限的观测资料估计污染源位置、污染物泄露强度及其泄露过程,是制定地下水污染修复方案的依据。在阐明地下水污染源识别基本问题基础上,综述了污染源识别研究的两大类数学方法,一类为直接方法,包括反向追踪法和基于正则化的方法;另一类为间接方法,包括基于优化的方法和基于概率统计的方法。同时指出了当前污染源识别数学方法应用中存在的主要问题:地下水污染源识别问题的复杂性、地下水有机污染问题和模型求解效率的低下性。对土壤-地下水的联合管理、基于物联网的地下水污染监测、对非水相流体（Non-aqueous Phase Liquid,NAPL）类污染源识别以及基于图形处理器（GPU）的异构并行计算将是未来研究的重点方向。     

宿州矿区浅层地下水污染评价及源解析

宿州矿区由于长期煤炭开采,不仅形成了浅层地下水降落漏斗,而且造成了不同程度的地下水污染,其污染现状及主要形成原因尚不清楚。为此,本文利用研究区水土污染调查获取的21个地下水样品的 {\mathrm{NO}}_3^{-}等13项污染指标开展地下水污染源解析工作。在采用改进内梅罗综合污染指数法对研究区浅层地下水环境质量进行评价的基础上,利用因子分析和反距离权重插值方法对研究区浅层地下水进行污染源及空间分布特征解析。研究结果表明:(1)研究区浅层地下水受到了重度污染,以Ⅳ类水为主,污染较严重的指标为 {\mathrm{NO}}_3^{-}、Mn、Fe和F^-。(2)研究区浅层地下水主要包括4个污染源:原生地质环境(F1),其高值区分布在桃园煤矿及其周边;矿坑排水和矸石山淋溶作用下形成的矿业废水(F2),其在桃园和钱营孜煤矿及其周边地区污染较为严重,其余矿区也存在一定程度的矿业废水污染;由生活垃圾、人畜排泄物造成的农村污水(F3),其污染地区主要为朱仙庄和芦岭煤矿一带; 由化肥施用引起的农业污染(F4), 其高值区集中在朱仙庄煤矿及其周边区域。地下水水质的主要影响因素是浅层地下水原生地质环境和矿业废水,其中约有51.040%的污染来源于原生地质环境及煤矿矿业污染的混合污染,约有11.841%的污染来自煤矿矿业废水,其余污染主要来源于农村生活和生产污水以及农业面源污染。(3)研究区浅层地下水主要污染区域为桃园和钱营孜煤矿一带,祁南和祁东煤矿污染相对较轻,朱仙庄和芦岭煤矿水质较好。(4)建议对矿区地下水主要污染源及污染途径进行综合防治:加强矿坑排水口的污水达标排放监管力度;煤矿企业采用生产建筑材料等方法提高矸石的综合利用率;进一步加强与矿区污水、垃圾填埋处理等相关的基础设施建设。     

地下水污染风险源识别与分级方法

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.      

胜利油田陆上采油区浅层地下水与土壤有机污染特征研究

本文在对胜利油田陆上采油区水文地质条件和污染源现状分析的基础上,对浅层地下水和包气带土壤进行了样品采集、污染物组分测试及污染程度研究,分析研究结果表明:胜利油田陆上采油区浅层地下水和土壤已普遍受有机物污染并形成多个有机污染区,检出的有机污染物达16种之多,个别有机物含量还很高.浅层地下水污染程度受到油田采油井数量、采油...     

滇东南泸江流域岩溶地下水质量及污染影响因素研究

泸江流域是滇东南典型的喀斯特断陷盆地发育区,主干水系连接着多个断陷盆地及坡立谷.根据最新的地下水污染调查资料,流域喀斯特地下水质量总体以Ⅲ类为主,水质超Ⅲ类的岩溶水点中,东部多,西部少,且暗河占比最大,岩溶泉次之,机井最小.主要污染源是工矿企业及城镇生活垃圾污染源,研究分析了污染影响因素为环境水文地质条件的差异、污染源类型及排污强度、岩溶含水层防污性能的强弱程度和岩溶地下水污染机制的不同.详细阐述了岩溶地下水主要污染机制为落水洞或岩溶洞管灌入污染机制、溶隙溶孔含水介质渗透污染机制及浅覆盖型岩溶含水层越流渗漏污染机制.针对性的提出了3条防治对策:一是调整工业布局,切实减少、杜绝污染源;二是调查污染源及污染途径,重视环境水文地质条件对污染物迁移转化的影响;三是编制地下水开发与保护规划,制定相应的管理措施,有效保护水源.     

北京市海淀区地下水污染风险性评价

地下水受污染的风险性主要由含水层本身的防污性能、人为污染源污染地下水的灾害等级和地下水受污染后造成的后果严重程度等因素决定的,地下水污染风险性高是指高价值的地下水资源受到灾害高的污染源的污染可能性大,评价地下水污染风险需要编制3张基础图：地下水易污性图、地下水价值图和地下水污染源灾害分级图。本文介绍并应用了定量评价的DRASTIC方法和定性评价的矩阵方法,定量和定性相结合,综合了含水层易污性、地下水开发利用价值和污染源对地下水影响等因素,对北京市海淀区浅层地下水受污染的风险性进行了综合评价。     

FRFI model application in groundwater non-point source pollution evaluation: a case study in the Luoyang Basin of North Henan province, China

The traditional non-point source (NPS) pollution models mainly focus on the flow path of NPS pollutants and attenuation during the flow. Extensive data set preparation and complex results analysis for these models are the most common problems encountered by the model user. In this study a new model, fuzzy-rough sets and fuzzy inference (FRFI), was introduced to evaluate groundwater NPS pollution. The proposed model involves two steps: the algorithm of fuzzy-rough sets attribute reduction (FRSAR) was applied to yield minimal decision rules from the fuzzy information system (FIS); the fuzzy inference technique was then used to forecast a groundwater synthesis pollution index based on the minimal decision rules. This model was applied in the Luoyang Basin, examining NPS pollution factors and hydrochemical variables data to validate the effectiveness of this model. The results indicate that it is only required to collect five NPS pollution factors or three hydrochemical variables; the groundwater synthesis pollution index can be predicted using the FRFI model. The prediction error is restricted to 2.9–6.1 % and 0.8–1.6 %, respectively. Therefore, the costs of computation and monitoring can be decreased, and the user is not required to prepare massive model parameters for the FRFI model. According to analyze the correlation between NPS pollution factors and hydrochemical variables, prevention measures are provided for treatment of the endemic disease and eutrophication. The FRFI model can be suitable for groundwater NPS pollution evaluation systems.     

济南泉域岩溶水水化学特征及其成因

济南泉域水质逐年变差,查明其污染来源和影响因素,对岩溶水资源开发利用及生态环境保护具有十分重要的意义,而对包含补给径流区的全区岩溶水系统分析尚未见报道.综合运用水化学(Piper三线图、离子比例系数、相关分析)和多元统计(因子分析、聚类分析)方法分析地下水水化学特征,探讨了不同区域水质影响因素及影响强度.因子分析反映了灰岩水岩作用、工业和生活污染、白云岩水岩作用、农牧业和生活污染对水化学组分的影响,贡献率依次为33.1%、28.4%、12.0%和11.8%.分析结果表明:研究区岩溶水水质受水岩作用和人类活动的双重影响;南部补给区、西郊及其以西排泄区水质优良,主要受碳酸盐岩溶解的影响;直接补给径流区部分岩溶水受农牧业和农村生活污染的影响,NO₃-含量较高;东郊排泄区、城区及近郊开采区受工业及城镇生活污染的影响,水质较差,少数地段SO₄2-、NO₃-、TDS和总硬度超标.      

基于水化学和氢氧同位素的兴隆县地下水演化过程研究

地下水的补给来源及其水-岩作用过程研究对于识别地下水水化学成分的形成机制、合理开发利用和地下水污染防治具有重要意义。为了了解兴隆县地区地下水水质及其水源涵养条件,为区域地下水污染防治和饮用水源安全提供支持,论文基于兴隆县地下水的水化学和氢氧稳定同位素（δD和δ18O）特征,综合利用Gibbs图解、主要离子比值和统计分析方法,深入讨论了兴隆县地下水的水化学特征、补给来源和水文地球化学演化过程。研究结果表明,兴隆县地下水呈弱碱性,主要为HCO₃—Ca·Mg型水,总溶解固体（TDS）变化范围为52.2~556.8 mg/L,平均值为238.0 mg/L;地下水主要来源于大气降水补给,蒸发作用对地下水水化学组分的影响较小;区域地下水的水化学组分主要受碳酸盐岩组成矿物白云石和方解石的溶解-沉淀过程的控制,受上覆铝硅酸盐矿物水解影响不大;区域东部和南部地下水Sr2+含量较高,推测碳酸盐岩下伏侵入岩及古老变质岩分布对Sr2+富集有一定影响;地表水和地下水水力联系密切,部分区域地下水受人类活动影响,造成地下水NO₃-含量超过饮用水卫生标准限值。     

海原盆地地下水咸化特征和控制因素

地下水是海原盆地唯一的供水水源,近年来部分地区地下水溶解性总固体(TDS)增高,引起了有关部门和水文地质工作者的高度关注。通过分析69组地下水样品的水化学和氢氧稳定同位素数据,对地下水补给来源和咸化的水文地球化学过程进行了研究。结果表明:地下水TDS值198.2~6 436.4 mg/L,沿着地下水流向,咸化程度增加,水化学类型从基岩区的HCO3—Ca·Mg型演化至滞留—排泄区的SO4·Cl—Na·Mg型。地下水补给来源主要为大气降雨和基岩裂隙水侧向径流,补给源—对地下水咸化贡献较小。溶滤作用具空间差异,基岩区和补给区以碳酸盐、硅酸盐风化为主,径流区和滞留—排泄区则为蒸发岩风化,硫酸盐是地下水中阳离子的主要来源。补给水、溶滤和蒸发对第四系地下水TDS的贡献比率分别为4.8%~81.2%、11.9% ~85.9%、1.7%~29.5%,溶滤作用是控制海原盆地地下水咸化的首要因素。当地有关部门应加大对基岩泉水的综合利用,同时注意控制海原县和西安镇等地区地下水开采量,防止地下水进一步咸化。另外,在微咸水分布区可引进地下水去除硫酸盐技术,提高微咸水利用程度。     

贵阳市岩溶地下水水化学演化机制:水化学和锶同位素证据

岩溶地下水的水化学特征及其水岩作用过程研究对岩溶地下水合理开发利用和污染防治具有重要意义.综合利用水化学分析、主要离子比值、锶含量和87Sr/86Sr比值分析和反向水文地球化学模拟,深入分析了贵阳市地下水和地表水不同季节的水化学特征变化和水文地球化学演化过程.水化学特征分析表明,贵阳市地下水以HCO₃·SO₄-Ca型和HCO₃-Ca·Mg型为主,水化学组成在季节和空间分布上存在一定的规律性变化,地表水与地下水的直接混合对地下水化学组成有一定的影响.锶同位素比值和水文地球化学反向模拟表明,地下水水化学组分主要受岩石风化作用的控制,以方解石和白云石为主的碳酸盐的溶解－沉淀作用以及硫酸盐和岩盐的溶解是控制研究区地下水水化学特征的重要过程,并受上覆孔隙含水层硅酸盐矿物水解的影响.      

Recharge and contamination sources of shallow and deep groundwater of pleistocene aquifer in El-Sadat industrial city: isotope and hydrochemical approaches

Hydrochemical and isotopic researches were conducted in El-Sadat City groundwater system to identify groundwater alteration, recharge, residence time and extent of pollution. The groundwater salinity gradually increases as the groundwater moves from northeastern to southwestern parts of the city. Groundwater generally shows mineralization decreasing with depth, indicating that the possibility of recent water penetration far below the surface is limited. Shallow groundwater has an elevated level of nitrate, which is attributed to anthropogenic sources due to intensive agricultural activity. The limit of high nitrate water may mark the maximum penetration of groundwater from the surface, which is found in depths <100 m. The northeastern and southwestern industrial areas are highly contaminated by some heavy metals, which may originate from some local industrial effluents. The sewage oxidation ponds seem to show no effect on groundwater; hence, these ponds are not a point source for these heavy metals. Dissolved ions depict five different hydrochemical facies, and stable isotopes define the recharge mechanisms, the origin of groundwater and the hydraulic confinement of deep groundwater. The deep groundwater is untritiated and has long residence times (in the order of thousands of years). Three different hydrochemical groups have been recognized and mapped in El-Sadat City, based on the chemical and isotopic information of the groundwater. These groups have different levels of contamination. The deep groundwater samples are significantly less impacted by surface activities and it appears that these important water resources have very low recharge rates and would, therefore, be severely impacted by overabstraction. The extensive exploitation of groundwater for drinking water supply would shortly be reflected by a gradual decline of the groundwater table in El-Sadat City. Amelioration of groundwater quality requires further management strategies and efforts in the forthcoming years.     

Characterization and evaluation of the factors affecting the geochemistry of groundwater in Neyveli,Tamil Nadu,India

In order to achieve a better understanding of the nature of the factors influencing ground water composition as well as to specify them quantitatively, multivariate statistical analysis (factor analysis) were performed on the hydrochemical data of this area. R-mode factor analysis was carried out on the geochemical results of the 79-groundwater samples and the factor scores were transferred to areal maps. Fundamental chemical parameters of the groundwater have been compounded together for characterizing and interpreting a few empirical hydrogeochemical factors controlling the chemical nature of water. R-mode factor analysis reveals that the groundwater chemistry of the study area reflects the influence of anthropogenic activities, silicate weathering reactions, precipitation, dissolution and subsequent percolation into the groundwater. The data have been put into few major factors and the seasonal variation in the chemistry of water has been clearly brought out by these factors. Factor scores were transferred to contour diagrams and the factor score analysis has been used successfully to delineate the stations under study with various factors and the seasonal effect on the sample stations.     

Multivariate statistical analysis for the assessment of groundwater quality under different hydrogeological regimes

Multivariate statistical analysis has been widely used for hydrogeochemical characterization of groundwater quality. In this study, hydrochemical data from three hydrological basins were used and two methods (factor and cluster analyses) were applied. The first area is the coastal area of Eastern Thermaikos Gulf where groundwater is influenced by seawater intrusion and geothermal fluids. The other two areas are the inland basins of Gallikos and Perdikas in which agricultural and industrial activities constitute the main anthropogenic pollution sources of groundwater. Initially, the aforementioned methods were applied for each area separately and resulted in a different number of significant factors and clusters, while the natural and anthropogenic influences were spatially determined in each area. Additionally, factor and cluster analyses were applied coupling data from all areas. Therefore, five clusters and three major factors were determined distinguishing the hydrochemical processes and impacts from anthropogenic activities in more detail. It is worth mentioning that the application of cluster analysis in the coupled groundwater samples of all studied areas resulted beneficially in the most hydrochemically complex area. Salinization dominates in the coastal area, while in Gallikos and Perdikas basins high concentrations of NO₃ occur mainly due to agricultural activities and small livestock units. The numerous hydrochemical samples are identified as the main issue for the higher discretization and reliability of the second approach. Nevertheless, this study is associated with a number of limitations of multivariable statistical analysis regarding extreme concentrations of Cl and Na. This issue stimulates further research in overcoming and understanding these drawbacks.     

Study of hydrogeochemical processes of the groundwater in Ghatprabha river sub-basin, Bagalkot District, Karnataka, India

The alluvial aquifer of the Ghatprabha River comprises shallow tertiary sediment deposits underlain by peninsular gneissic complex of Archean age, located in the central–eastern part of the Karnataka in southern India. In order to establish the baseline hydrochemical conditions and processes determining the groundwater quality, groundwater samples were collected as part of an integrated investigation that coupled multivariate statistical analysis with hydrochemical methods to identify and interpret the groundwater chemistry of the aquifer system. Three main hydrochemical types (Ca–Mg–Cl, Ca–Mg–HCO₃, and Na–SO₄) were identified. Gibbs plots indicate that the evolution of water chemistry is influenced by water–rock interaction followed by evapotranspiration process. The results of factor analysis indicated the total variance explained by the extracted factor 79.9% and 87.1% for both pre- and post-monsoon, respectively. And other processes such as silicate weathering, ion exchange, and local anthropogenic activities affect the groundwater chemistry.