采煤塌陷区水污染源解析研究

应用SPSS17.0中因子分析模型对淮南市潘一矿采煤塌陷水体常规水质指标进行污染源解析,结果得出4种主要的污染源,F1主要代表了氮磷肥引起的农业面源污染、矿井水和浅层地下水的混合污染,方差贡献率为42.991%,F2代表了矿井水污染,方差贡献率为20.180%,F3主要代表了农村污水和矿业废水混合污染,方差贡献率为13.299%,F4主要代表了煤矸石淋溶水污染,方差贡献率为11.546%。     

某粉煤灰堆放场对周围岩溶地下水的影响分析

结合粉煤灰堆放场的水文地质状况,通过稳定同位素示踪、浸溶和淋溶试验,探讨了灰场对周围岩溶地下水的影响。结果表明,堆场灰水已经达到下游部分水井,堆场在大气降水和冲灰水的浸泡、淋溶作用下,其中的Cr6+、F-和钙镁盐类大量析出并随灰水一起下渗,石灰岩碎石虽对氟化物有一定的吸附作用,但能力有限。根据试验数据分析认为,该粉煤灰堆放场是焦作市北中部岩溶地下水Cr6+、F-和总硬度升高的主要原因。     

拉萨垃圾填埋场地下水环境质量影响分析研究

通过在拉萨市垃圾填埋场周边布设4个监测井,于2017—2018年采样分析24项地下水水质指标,并运用单因子指数、综合评价法、污染指数P_(ki)法、等标污染负荷比法等对地下水污染状况进行评价。结果表明:地下水水质在良好—优良范围内;单项污染指数1的有pH值、铅,相比背景井地下水水质有所下降;填埋场周边地下水污染程度呈轻污染,主要受到影响的指标为pH值、高锰酸盐指数、阴离子表面活性剂、铅、氟化物。     

高尔夫球场地下水水质分析与污染评价

以威海市锦湖韩亚高尔夫球场为对象,对其地下水水样进行检测,并根据检测结果,对地下水水质进行分析评价。结果表明,地下水中氯化物、高锰酸盐指数、亚硝酸盐、氨氮等指标存在检出超标情况,特征污染因子未检出,说明按照正常剂量施用农药和化肥对于高尔夫球场及周边地下水污染较小。     

某基岩区工业固体废物填埋场地递进式场地环境调查实例

针对某基岩区简易封场后的固体废物填埋场,采用多层次、递进式调查策略,配合使用地球物理探测、直压式土壤快速取样、现场快速检测等技术,分3个阶段开展填埋场及其周边环境调查。第1阶段,调查地质环境特征,开展地球物理探测;第2阶段,调查填埋物、渗滤液主要组分及对周边积水、农田土壤、民用井水的污染情况;第3阶段,划定重点污染区域,开展土壤和地下水污染调查。调查结果显示,填埋区已发生明显渗漏,对邻近区域土壤、地下水及地表积水造成了一定污染,但未对周边农用地土壤、民用井水质等产生不利影响,总体处于可控范围。提出,通过削减污染源,切断污染物迁移、暴露途径,消除已有污染影响,长期跟踪监测等多项管控治理措施进行综合整治。     

淮河流域江苏平原区浅层地下水污染分析

以淮河流域江苏平原区浅层地下水为研究对象,通过对当地影响较大的污染源调查采样,分析了该地区所采602组水样的无机和有机污染状况。研究表明,区内浅层地下水无机污染较严重,基本形成面状污染,地下水超标率高达83．4％,超标率最高为碘化物。有机污染物检出率34．2％,主要包括二氯甲烷、萘和1,2-二氯乙烷等,以点状分布为主。在此基础上阐述了大气降水、污水灌溉、农业施肥以及地下水开采等人类活动对浅层地下水的影响和污染状况。     

钼矿区周边农田土壤中重金属污染状况的分析与评价

对钼矿区周边农田土壤重金属污染情况进行了详细研究.选择该矿区受污染农田土壤样本80个,采用HNO3-HF-HClO4混酸对土壤样品进行处理,运用欧共体参比司推荐的BCR三步连续提取法进行化学形态分析;使用等离子体发射光谱仪(ICP-AES)测定土壤样品中Mo、Pb、As、Hg、Cr、Cd、Zn、Cu、Ni的全量及各种化学形态的含量并进行评价,同时对矿区地下水进行分析;采用spas软件进行数据分析.结果表明,矿山周边农田土壤重金属主要污染物为Cd、Hg并伴有Cr污染;Nemerow综合指数6.81,综合评价结果为该区土壤已受严重污染;Cd与As污染来源基本相同,Cu、Ni、Zn污染来源基本相同,Hg有独立的污染来源;重金属中化学形态分布为残余态>有机结合态>氧化结合态>酸可提取态;重金属Cr及Hg的有效态比例较大,可能会影响农作物的正常生长;矿山周边农田土壤重金属污染的原因可能是污染地下水的浇灌,矿石的开采、运输和大气降尘等过程;有机农药及塑料农用制品的施用过程,自然成土、矿物的伴生及其转化等过程.     

典型产业集聚区地下水优先控制污染物筛选

为明确地下水污染高风险区环境管控目标,快速识别优先控制污染物,于2022年以典型产业集聚区为研究对象,利用污染源产排污状况和地下水基础环境状况调查结果,将污染评价和环境风险相结合,优选污染源超标率、地下水环境污染等级、生物毒性参数和环境迁移转化参数作为筛选因子,利用层次分析法和综合分析法,计算各污染指标综合得分,建立筛选地下水优先控制污染物的方法体系。筛选结果显示,该产业集聚区的优先控制污染物相关指标包括：硝酸盐、耗氧量、石油类、总硬度、亚硝酸盐、镍、锌、硫酸盐、甲苯、氨氮等。筛选结果与园区主导行业产排污特征和地下水质量现状相符,具有一定的可靠性,可为科学、精准管控高风险区地下水质量提供依据。     

北京城市副中心海绵城市建设对地下水环境影响评价

以城市副中心北运河西岸湿地（甘棠大桥段）作为典型面状海绵体,利用2018年5月—9月采集的300组地表水和地下水监测数据,分析典型海绵体地下水水化学特征及形成机制,探讨不同含水层之间水力联系,并以Cl-为指示因子,结合其他水化学指标研究分析典型面状海绵体建设背景下地下水与地表水之间的交互作用及影响程度。结果显示,在垂向上,10 m、20 m含水层地下水之间联系密切,且受大气降水影响明显;在平面上,地表水对10 m、20 m含水层组地下水的影响距离为90 m～120 m,地表水对30 m含水层组地下水的影响距离为80 m～90 m。     

北京市地下水污染源荷载影响评价

在阐述地下水污染源荷载影响基本概念的基础上,介绍了污染源荷载影响评价的3大要素:污染荷载等级、含水层敏感性及地下水价值,说明了评价体系、指标和方法及过程。根据主要污染源荷载分析,结合地下水环境现状,对北京市进行了分区,提出污染源管理措施。     

煤矸石山周围塌陷区水体中多环芳烃调查与生态风险评价

以煤矿区及煤矸石的污染特征为依据,选取16种EPA优先控制多环芳烃（PAHs）污染物,采用高效液相色谱法对不同堆积年限的矿区煤矸石山周围塌陷区的水体样品进行测试,分别分析此类水体中单个PAHs和总PAHs的分布情况及水体中PAHs不同环数的组成情况,并采用风险商值法进行水体生态风险评价,指出此类水体的不当开发利用会引起人体健康危害。     

Geochemical characterisation of pyrite oxidation and environmental problems related to release and transport of metals from a coal washing low-grade waste dump, Shahrood, northeast Iran

Pyrite oxidation and release of the oxidation products from a low-grade coal waste dump to stream, groundwater and soil was investigated by geochemical and hydrogeochemical techniques at Alborz Sharghi coal washing plant, Shahrood, northeast Iran. Hydrogeochemical analysis of water samples indicates that the metal concentrations in the stream waters were low. Moreover, the pH of the water showed no considerable change. The analysis of the stream water samples shows that except the physical changes, pyrite oxidation process within the coal washing waste dump has not affected the quality of the stream water. Water type was determined to be calcium sulphate. The results of the analysis of groundwater samples indicate that the pH varies from 7.41 to 7.51. The concentrations of the toxic metals were low. The concentration of SO4 is slightly above than its standard concentration in potable water. It seems that the groundwater less affected by the coal washing operation in the study area. Geochemical analysis of the sediment samples shows that Fe concentration decreases gradually downstream the waste dump with pH rising. SO(4) decreases rapidly downstream direction. Copper, Zn and Co concentrations decrease with distance from the waste dump due to a dilution effect by the mixing of uncontaminated sediments. These elements, in particular, Zn are considerably elevated in sediment sample collected at the nearest distance to the waste dump. There is no doubt that such investigations can help to develop an appropriate water remediation plan.     

Distribution and assessment of Pb in the supergene environment of the Huainan Coal Mining Area,Anhui, China

Coal mining area is highly subject to lead (Pb) pollution from coal mining activities. Several decades of coal mining and processing practices in dozens of coal mines in the Huainan Coal Mining Area (HCMA) have led to the accumulation of massive amounts of coal gangue, which piled in dumps. In order to investigate the impacts of coal gangue dumps on Pb level in the supergene media of the HCMA, a systematic sampling campaign comprising coal gangue, soil, wheat, and earthworm samples was conducted. The average Pb content in the coal mining area soil is 24 mg/kg, which is slightly higher than the associated coal gangues (23 mg/kg) and markedly higher than reference region soil (12.6 mg/kg). Soil in the HCMA present a slight to moderate Pb contamination, which might be related to the weathering and leaching of coal gangue dumps. Lateral distribution of Pb in HCMA soil differed among individual coal mines. The soil profile distribution of Pb depends on both natural and anthropogenic contributions. Average Pb content is higher in roots than in stems, leaves, and wheat husks, while the Pb level in seeds exceeded the maximum Pb allowance for foods (Maximum Levels of Contaminants in Foods of China, GB 2762–2012). Earthworms in the selected area are significantly enriched in Pb, suggesting higher bio-available Pb level in soil in the HCMA.     

Evaluation of organic contamination in urban groundwater surrounding a municipal landfill, Zhoukou, China

This paper investigates the organic pollution status of shallow aquifer sediments and groundwater around Zhoukou landfill. Chlorinated aliphatic hydrocarbons, monocylic aromatic hydrocarbons, halogenated aromatic hydrocarbons, organochlorine pesticides and other pesticides, and polycyclic aromatic hydrocarbons (PAHs) have been detected in some water samples. Among the detected eleven PAHs, phenanthrene, fluorine, and fluoranthene are the three dominant in most of the groundwater samples. Analysis of groundwater samples around the landfill revealed concentrations of PAHs ranging from not detected to 2.19 μg/L. The results show that sediments below the waste dump were low in pollution, and the shallow aquifer, at a depth of 18–30 m, was heavily contaminated, particularly during the wet season. An oval-shaped pollution halo has formed, spanning 3 km from west to east and 2 km from south to north, and mainly occurs in groundwater depths of 2–4 m. For PAH source identification, both diagnostic ratios of selected PAHs and principal component analysis were studied, suggesting mixed sources of pyro- and petrogenic derived PAHs in the Zhoukou landfill. Groundwater table fluctuations play an important role in the distribution of organic pollutants within the shallow aquifer. A conceptual model of leachate migration in the Quaternary aquifers surrounding the Zhoukou landfill has been developed to describe the contamination processes based on the major contaminant (PAHs). The groundwater zone contaminated by leachate has been identified surrounding the landfill.     

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.     

Indexing method for assessment of pollution potential of leachate from non-engineered landfill sites and its effect on ground water quality

Dumping of solid waste in a non-engineered landfill site often leads to contamination of ground water due to leachate percolation into ground water. The present paper assesses the pollution potential of leachate generated from three non-engineered landfill sites located in the Tricity region (one each in cities of Chandigarh, Mohali and Panchkula) of Northern India and its possible effects of contamination of groundwater. Analysis of physico-chemical properties of leachate from all the three landfill sites and the surrounding groundwater samples from five different downwind distances from each of the landfill sites were collected and tested to determine the leachate pollution index (LPI) and the water quality index (WQI). The Leachate Pollution Index values of 26.1, 27 and 27.8 respectively for landfill sites of Chandigarh (CHD), Mohali (MOH) and Panchkula (PKL) cities showed that the leachate generated are contaminated. The average pH values of the leachate samples over the sampling period (9.2 for CHD, 8.97 for MOH and 8.9 for PKL) show an alkaline nature indicating that all the three landfill sites could be classified as mature to old stage. The WQI calculated over the different downwind distances from the contamination sites showed that the quality of the groundwater improved with an increase in the downwind distance. Principal component analysis (PCA) carried out established major components mainly from natural and anthropogenic sources with cumulative variance of 88% for Chandigarh, 87.1% for Mohali and 87.8% for Panchkula. Hierarchical cluster analysis (HCA) identifies three distinct cluster types for the groundwater samples. These clusters corresponds to a relatively low pollution, moderate pollution and high pollution regions. It is suggested that all the three non-engineered landfill sites be converted to engineered landfill sites to prevent groundwater contamination and also new sites be considered for construction of these engineered landfill sites as the present dumpsites are nearing the end of their lifespan capacity.     

基于MODFLOW-NWT的尾矿库地下水环境影响评价

尾矿库渗滤液中污染物会对区域地下水产生不利影响。根据拟建工程场地水文地质条件和气象资料,建立三维数值预测模型并分析非正常工况下两种典型污染情景对地下水环境的影响,预测结果显示:特征污染物As的质量浓度随时间推移逐渐变大;防渗层破损和无防渗情况下污染晕沿地下水流方向最远运移距离在第100 d、1 000 d、7 884 d时分别为72 m、225 m、262 m和78 m、335 m、391 m。由于下游河流及周边泉点为区内地下水排泄主要途径,污染物经排泄进入下游河流将对环境造成较大影响,故提出相应防范措施。     

基于AHP-CRITIC综合权重的改进物元可拓模型在地下水水质评价中的应用

权重的确定在地下水水质评价中具有重要作用。利用CRITIC方法对地下水指标进行权重修正,探究该方法对地下水质量评价的适用性。笔者选取代表性指标后,按照一般化学指标、毒理学指标2个层次构建地下水污染评价综合指标体系,建立基于AHP-CRITIC综合权重的改进物元可拓模型对研究区地下水开展质量评价。将开发的评价方法应用于工业园区地下水质量评价发现,该方法能够反映地下水质量状况。结果表明:该评价方法在地下水质量评价过程中,能够兼顾不同指标重要程度差异和水质等级的模糊性,研究区5#点位和10#点位有毒有害重金属超标,应进一步查明原因,提出地下水污染阻断措施。