甘肃省环县地下水水质的多元统计分析

运用多元统计方法中的因子分析和聚类分析对甘肃省环县的地下水水质状况进行评价。因子分析对环县21个乡镇的井水水样进行分析,综合得到了三个主要影响因子。因子1包括电导率、盐度和溶解性总固体,受到自然地理地质因素影响;因子2包含了氟化物、六价铬、氨氮和化学需氧量,与地下矿物资源分布与农牧业活动联系密切;因子3包括浊度、色度和溶解氧,主要受人类活动影响。聚类分析将环县地下水水质按其相似度分为三个部分,分别为北部地区、中部地区和东南部地区,其水质状况也随地域不同有所变化。     

基于BP神经网络的齐齐哈尔地区地下水水质评价

阐述了人工神经网络基本原理,介绍了BP网络的地下水水质评价模型.在传统的评价方法基础上,根据各评价因子对环境和人类影响程度不同,给水质监测指标分组,从实用角度对水质进行评价.与传统评价方法相比,该评价模型在某评价因子数值极大的情况下,也能准确反映地下水的污染情况,并且通过GIS技术利用评价结果得到地下水水质分布图,从空间反映地下水水质变化规律.     

聊城市城郊浅层地下水硝酸盐污染特征与健康风险评估

运用氮、氧双同位素对聊城市城郊浅层地下水硝酸盐进行溯源，基于人类健康风险评估模型评估其健康风险。结果表明：研究区地下水中硝酸盐质量浓度在396 mg/L～389 mg/L之间，52%的监测点硝酸盐质量浓度超过《地下水质量标准》（GB/T 14848—2017）中Ⅲ类水质限值（20 mg/L）；地下水硝酸盐主要来源于化肥中的NH+4，其次为化肥中的NO-3和土壤中N的矿化作用；成年男性、成年女性和未成年人的非致癌风险值均处于可接受风险水平，区域人群硝酸盐暴露风险的主要途径为饮用区域地下水。     

基于多元统计方法的某地浅层地下水污染来源分析

为查明某地农田灌溉水井水质污染致使作物生长受损事件的污染来源,对研究区10眼水井进行了水质检测分析,并采用多元统计方法判断污染来源。结果表明:研究区水样中全盐量普遍超过农田灌溉水质标准,总硬度、硫酸盐、氨氮和氰化物等也存在不同程度的超标;水样中全盐量、氨氮与氰化物的含量之间存在显著正相关,具有共同的来源,且与河流A补给关系密切;地下水中盐分过高是造成作物受损的主要原因;地下水中全盐量、氨氮及氰化物等主要污染物来源于上游的焦化企业。基于多元统计方法的地下水污染来源分析结果可为当地地下水污染防治及管控提供环境管理依据。     

改进的模糊综合评价法在某煤矿区水质评价中的应用

基于熵权法和相对标准偏差法组合评价因子权重，综合最大隶属度原则与加权平均原则，建立改进的模糊综合评价法，应用该方法评价某煤矿区浅层地下水水质，并与其他评价方法作比较。结果表明：在研究区33个浅层地下水监测点中，属于Ⅰ类、Ⅱ类、Ⅲ类水的监测点分别有4个、16个、13个，Ⅱ类水最多，占比48.5%，无Ⅳ类、Ⅴ类水，水质状况总体较好；对比发现，工业园水质相对较差，煤矿区及工业广场次之，农田和居民区水质相对较好；改进后的模糊综合评价法综合考虑了评价因子间的内在联系，既减小了主观因素对评价过程的影响，也规避了单一评判原则对水质等级判定带来的局限性，评价结果更符合实际情况。     

因子分析法在金泉工业园区地下水水质评价中的应用

根据金泉工业园水源地8个不同监测断面的地下水水质监测数据,采用R型因子分析法对园区水源地地下水水质进行综合评价,在研究地下水中13种化学成分间相关关系的基础上,提取4个主因子进行分析计算。结果表明,Cl-、SO24-、总硬度和可溶性固体对第一主因子贡献明显;第二主因子代表指标是Zn;第三主因子代表指标是As;NO3-、氨氮、NO2-对第四主因子贡献显著。对水质进行综合评价后发现,人民渠、海流图河和乌拉壕监测断面处水质类别为V类,其他断面均为IV类。因子分析法从整体上评价了园区水源地地下水的水质现状,分析结果清晰明确,为日后地下水资源的管理与保护提供科学依据。     

典型水源地地下水污染风险评价

地下水污染是由含水层本身的脆弱性与人类活动产生的污染负荷造成的。污染物的荷载可以控制或改变,但是含水层的敏感性是本质的、天然的特性。污染风险不仅取决于相对稳定、不宜改变的含水层天然特征,还取决于主观的污染活动。因此,从地下水天然防污性能、地下水污染源荷载以及地下水社会效益3个方面评价了典型水源地地下水受污染的风险。     

汕头市练江流域景观格局与水质的关联分析

水环境对景观格局的变化极为敏感,水域(湿地)面积、分布格局、水质、水文特征等的变化,与土地变化和人类活动有着密切的关系,明确影响水质变化的关键景观因子,对于深入了解景观格局对水质的影响机制具有重要的研究价值。该研究选择广东省汕头市练江流域为研究对象,以2019年TM卫星影像、水质监测以及工业点源污染数据为基础,利用Spearman秩相关和多元线性回归模型等统计方法综合分析在子流域、河岸带尺度水平上景观格局与水质之间的相关性。研究结果表明:流域和河岸带的城镇比例、景观多样性和破碎度均对水质有较大影响,水质指标受到多个景观指数的综合影响,景观格局指数变化对总磷的解释能力要大于其他水质指标;氨氮、化学需氧量受河岸带尺度的景观格局影响更大,总磷受流域尺度景观格局影响更大;工业点源对景观格局与水质的关联分析有较大影响,剔除重点工业点源污染后的氨氮和化学需氧量与景观格局相关性比剔除重点工业点源污染前更高。     

杭州市主城区浅层地下水水质现状

调查了杭州市主城区浅层地下水水质现状。结果表明,杭州市主城区浅层地下水污染较重,"三氮"超标现象普遍,而主要污染项目为NH3-N、NO2--N、IMn和总大肠菌群及细菌总数。指出,农业面源污染和生活污水,是造成杭州市主城区浅层地下水氮污染的主要原因。提出分析了地下水水质污染的成因。指出应加强地下水保护以及地下水资源的质量管理。进行科学、合理地开发利用,实现地下水水资源的可持续利用,支持杭州市国民经济的可持续发展。     

望虞河西岸河网区沉积物营养盐和重金属污染时空分布特征

以无锡市望虞河西岸河网区为研究区域,于2018年12月—2019年9月分冬、春、夏、秋4个季节采集了上覆水和沉积物样本,研究氮磷营养因子在沉积物-上覆水界面的释放规律,探究主要水质指标、沉积物氮磷和重金属含量的时空分布特征。结果表明:研究区域内的水质状况不佳,主要是氮含量超标,污染严重的点位集中在人类活动较为密集的市区和工业区;受上覆水氮磷浓度、溶解氧浓度等变化的影响,沉积物营养盐含量季节变化明显,污染状况较为严重,75%的点位属于中度和重度污染;沉积物重金属含量季节变化不显著,部分重金属的空间分布特征相似,污染程度排序为Zn>Cd>Cu>Pb>Ni>Cr>As。     

Analysis of spatial–temporal distributions of nitrate-N concentration in Shitoukoumen catchment in northeast China

This article discusses the generation and migration process of nitrate-N pollution in shallow groundwater caused by agricultural nonpoint source pollution in the catchment area of Shitoukoumen Reservoir in northeast China. By monitoring the shallow groundwater nitrate-N in the low-water period, the normal season, and high-flow period in the study area for a year, it was found that the nitrate-N concentration in the shallow groundwater of this area had a seasonal variation in both spatial and time distribution. In the time distribution, the peak value appeared in July, the high-flow period, and the valley value appeared in April, the low-water period, and showed a significant correlation with the time distribution of fertilization rate and rainfall. In the spatial distribution of nitrate-N pollution, when the distribution in shallow groundwater was analyzed separately in the three different periods (low-water period, the normal season, and high-flow period) and the discipline transference and enrichment of nitrate-N pollution in shallow groundwater was determined, this indicated that the region in the southeast study area where runoff conditions were better was less contaminated, and the region where runoff conditions were poor, as well as the region along the river were seriously polluted. The nitrate-N concentration in shallow groundwater was distributed mainly along the path of groundwater flow and was excreted in the drainage region. This showed that the spatial distribution of nitrate-N concentration in the shallow groundwater of the entire region was mainly controlled by the groundwater flow system. At the same time, in the middle and lower reaches of the study area, the seasonal changes in the recharged–excreted relationship between groundwater and river caused seasonal differences in the spatial distribution of nitrate-N pollution in groundwater. The combined effects of the groundwater mobility and the surface river resulted in a poor correlation between the groundwater nitrate-N concentration and land-use types. Only in the plain area where there was little influence from groundwater runoff and the surface river did the groundwater nitrate-N concentration correlate with land-use types. The spatial and time distribution of nitrate-N concentration in the shallow groundwater of the study area was impacted by agricultural nonpoint source pollution, the groundwater flow system, and the surface river and formed a concentration response system which uses basins as a unit.     

Relationship between land use and groundwater quality in six districts in the eastern region of Ghana

The chemical quality of groundwater in six district of the eastern region beneath the different types of land use areas of Ghana was examined to evaluate the effects of human activities on groundwater. Analyses indicate that groundwater in the studied area is fresh and generally suitable for most uses. The groundwater is generally characterised by a chemical facies of Ca-HCO3-, Na-Cl and mixed Na-Ca-HCO3 types and is weakly mineralised. Anthropogenic disturbances have had and continue to have an impact on the aquatic ecosystem of Ghana. High concentration of Cl- and TDS were found in wells in high residential areas while the highest levels of Na, Ca, SO4(2-) and NO3- were found in agricultural and high density residential areas. About 50% of boreholes sampled have elevated level of NO3(-)-N emanating from agricultural runoff.     

Lead (Pb) and arsenic (As) bioaccessibility in various soils from south China

Serious problems are faced in several parts of the world due to the presence of high concentration of fluoride in drinking water which causes dental and skeletal fluorosis to humans. Nalgonda district in Andhra Pradesh, India is one such region where high concentration of fluoride is present in groundwater. Since there are no major studies in the recent past, the present study was carried out to understand the present status of groundwater quality in Nalgonda and also to assess the possible causes for high concentration of fluoride in groundwater. Samples from 45 wells were collected once every 2 months and analyzed for fluoride concentration using an ion chromatograph. The fluoride concentration in groundwater of this region ranged from 0.1 to 8.8 mg/l with a mean of 1.3 mg/l. About 52% of the samples collected were suitable for human consumption. However, 18% of the samples were having less than the required limit of 0.6 mg/l, and 30% of the samples possessed high concentration of fluoride, i.e., above 1.5 mg/l. Weathering of rocks and evaporation of groundwater are responsible for high fluoride concentration in groundwater of this area apart from anthropogenic activities including irrigation which accelerates weathering of rocks.     

A Methodology for Space-Time Classification of Groundwater Quality

Safeguarding groundwater from civil, agricultural and industrial contamination is matter of great interest in water resource management. During recent years, much legislation has been produced stating the importance of groundwater as a source for drinking water supplies, underlining its vulnerability and defining the required quality standards. Thus, schematic tools, able to characterise the quality and quantity of groundwater systems, are of very great interest in any territorial planning and/or water resource management activity.This paper proposes a groundwater quality classification method which has been applied to a real aquifer, starting from several studies published by the Italian National Hydrogeologic Catastrophe Defence Group (GNDCI).The methodology is based on the concentration values of several parameters used as indexes of the natural hydro-chemical water condition and of potential man-induced modifications of groundwater quality. The resulting maps, although representative of the quality, do not include any information on its evolution in time. In this paper, this “stationary” classification method has been improved by crossing the quality classes with three indexes of temporal behaviour during recent years. It was then applied to data from monitoring campaigns, performed in spring and autumn, from 1990 to 1996, in the plain of Modena aquifer (central Italy). The results are reported in the form of space-time classification table and maps.     

Hydrochemical Changes Over Time in the Zahedan Aquifer, Iran

Groundwater in the Zahedan Aquifer located in the arid southeast of Iran was chemically characterized to understand both the nature of the alluvium aquifer and the effect of human activities, specifically sewage disposal on groundwater quality. Concentrations of major cations and anions in the Zahedan Aquifer are much higher than concentrations observed in groundwater of similar settings. Although the nature of the aquifer and climatic parameters have affected the chemistry of groundwater, human impacts on the groundwater quality are more significant. The electrical conductivity in some areas of the Zahedan aquifer increased up to 7,500μS/cm in 25 years. Human influences in some areas are so prevalent, that the groundwater type changed from a Na⁺-HCO₃ ^- in 1976 to a Na⁺-Cl^- type in 2000. The impact of human influences on the groundwater quality is also indicated through observed nitrate concentration up to 4.81 meq/L in the urban area.     

东营市化工聚集区地下水TOC污染空间分布特性

为掌握东营市化工聚集区地下水受有机污染的总体程度,对该市三县两区96个调查点位的地下水TOC进行了监测。结果表明:化工聚集区地下水TOC质量浓度分布范围为1.5~19.6 mg/L,87.5%的数据集中在2~10 mg/L区段,其中2~4 mg/L的区段数据最密集,数据分布呈对数正态分布。受区域内外部因素共同影响,地下水超标率和异常值比率分别达到62.5%和18.8%,且由南向北呈明显上升趋势;存在浓度均值超标和异常突变数据的化工聚集区数量分别占调查总量的75%和62.5%。地下水TOC受环境地质分布影响显著,黄泛平原区比山前平原区污染范围和程度更高;河口区和广饶井罐区分别是东营市和广饶县地下水污染最严重的地区,广饶县西北部是东营市地下水TOC水质最好的地区。     

Evaluation of groundwater quality in and around Peenya industrial area of Bangalore, South India using GIS techniques

Groundwater resource forms a significant component of the urban water supply. Declining groundwater levels in Bangalore Urban District is generally due to continuous overexploitation during the last two decades or more. There is a tremendous increase in demand in the city for good quality groundwater resource. The present study monitors the groundwater quality using geographic information system (GIS) techniques for a part of Bangalore metropolis. Thematic maps for the study area are prepared by visual interpretation of SOI toposheets on 1:50,000 scale using MapInfo software. Physicochemical analysis data of the groundwater samples collected at predetermined locations form the attribute database for the study, based on which spatial distribution maps of major water quality parameters are prepared using MapInfo GIS software. Water quality index was then calculated by considering the following water quality parameters--pH, total dissolved solids, total hardness, calcium hardness, magnesium hardness, alkalinity, chloride, nitrate and sulphate to find the suitability of water for drinking purpose. The water quality index for these samples ranged from 49 to 502. The high value of water quality index reveals that most of the study area is highly contaminated due to excessive concentration of one or more water quality parameters and that the groundwater needs pretreatment before consumption.     

Assessment of groundwater quality and <Superscript>222</Superscript>Rn distribution in the Xuzhou region,China

Evaluation of groundwater quality represents significant input for the development and utilization of water resources. Increasing exploitation of groundwater and man-made pollution has seriously affected the groundwater quality of the North China Plain, such as in the Xuzhou region which is the target of this investigation. The assessment of the groundwater quality and sources in the region was based on analyses of water chemistry and ²²²Rn activity in samples collected from wells penetrating unconfined and confined aquifers. The results indicate that most of the untreated groundwater in the region is not suitable for the long-term drinking based on permissible limits of the Chinese Environmental Agency and the World Health Organization. However, the groundwater can be used as healthy source of drinking water when they can pass the biological test and softening water treatment. Most of the groundwater is suitable for irrigation. Excessive amounts of SO₄^2? and NO₃^? are attributed to mainly influence of wastewater, irrigation, and dissolution of sulfate minerals in local coal strata. The major source of the groundwater is meteoric recharge with addition from irrigation and wastewater discharges. Variability of the water quality seems to be also reflecting the type of aquifers where the highest concentration of HCO₃^? occurs in water of the carbonate fractured aquifer, while the highest Cl^? concentration in the unconfined aquifer. Source of ²²²Rn activity is mainly related to the rock-water interaction with possible addition from the agricultural fertilizers. Protection of groundwater is vital to maintain sustainable drinking quality through reducing infiltration of irrigation water and wastewater.     

Modelling of lindane transport in groundwater of metropolitan city Vadodara,Gujarat, India

Migration pattern of organochloro pesticide lindane has been studied in groundwater of metropolitan city Vadodara. Groundwater flow was simulated using the groundwater flow model constructed up to a depth of 60 m considering a three-layer structure with grid size of 40?×?40?×?40 m³. The general groundwater flow direction is from northeast to south and southwest. The river Vishwamitri and river Jambua form natural hydrologic boundary. The constant head in the north and south end of the study area is taken as another boundary condition in the model. The hydraulic head distribution in the multilayer aquifer has been computed from the visual MODFLOW groundwater flow model. TDS has been computed though MT3D mass transport model starting with a background concentration of 500 mg/l and using a porosity value of 0.3. Simulated TDS values from the model matches well with the observed data. Model MT3D was run for lindane pesticide with a background concentration of 0.5?μg/l. The predictions of the mass transport model for next 50 years indicate that advancement of containment of plume size in the aquifer system both spatially and depth wise as a result of increasing level of pesticide in river Vishwamitri. The restoration of the aquifer system may take a very long time as seen from slow improvement in the groundwater quality from the predicted scenarios, thereby, indicating alarming situation of groundwater quality deterioration in different layers. It is recommended that all the industries operating in the region should install efficient effluent treatment plants to abate the pollution problem.     

Iron content in groundwaters of Visakhapatnam environs, Andhra Pradesh, India

Trace elements are essential for human health. However, excess concentrations of these elements cause health disorders. A study has been carried out in Visakhapatnam environs, Andhra Pradesh, India to ascertain the causes for the origin and distribution of iron content in the groundwaters. Fifty groundwater samples are collected and analyzed for iron. The content of iron ranges from 400 to 780 μg/l. A comparison of groundwater data with rock and soil chemistry suggests that the concentration of iron (400–530 μg/l) in the groundwaters is derived from the rocks and soils due to geogenic processes. This concentration is taken as a natural occurrence of iron in the groundwaters of the study area for assessing the causes for its next higher content (>530 μg/l). Relatively higher concentration of iron (540–550 μg/l) is observed at some well waters, where the wells are located nearby municipal wastewaters, while the very high concentration of iron (610–780 μg/l) is observed in the industrially polluted groundwater zones, indicating the impact of anthropogenic activities on the groundwater system. These activities mask the concentration of iron caused by geogenic origin. Hence, both the geogenic and anthropogenic activities degrade the groundwater quality. Drinking water standards indicate that the iron content in all the groundwater samples exceeds the permissible limit (300 μg/l) recommended for drinking purpose, causing the health disorders. Necessity of close monitoring of groundwater quality for assessing the impact of geogenic and anthropogenic sources with reference to land use/land cover activities is emphasized in the present study area to protect the groundwater resources from the pollution.