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%。     

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。     

工业废水与河流水体的急性毒性研究

测试并研究了焦化、染料、制药、电镀、造纸、食品加工等不同类型工业废水对生物急性毒性的影响和特性,探索了河流水体急性毒性的污染类型、污染来源及与理化污染指标的相关性,提出了水质的急性毒性评价指标。     

我国高速公路周边土壤重金属污染现状及研究进展

以我国高速公路周边土壤重金属为研究对象，综述了我国高速公路周边土壤重金属污染特征、影响因素、来源、环境风险及其研究进展。高速公路周边土壤主要受Pb、Cd、Cr、Cu、Zn等重金属污染，主要呈现指数分布、偏态分布和两者混合分布等特点，并且受到土地利用、风向、地形、车流量等多种因素的综合影响。土壤重金属的来源除了受成土母质等自然因素影响以外，公路交通和周边工农业活动也会对其来源产生较大影响。传统的土壤重金属评价方法主要采用单因子指数法、地累积指数法、生态风险评价法等对重金属的污染等级和环境风险进行评价。未来的研究应将重金属形态分析、空间和地统计分析、重金属稳定同位素示踪和源解析模型以及预测模型等多种手段相结合，开展高速公路周边土壤重金属的污染特征、时空分布、来源及预测预警研究等，为我国高速公路沿线工农业生产布局及其土壤重金属污染防控提供科学依据和决策支撑。     

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。     

杭州市钱塘江干支流水质多元统计分析

运用多元统计方法分析了杭州市钱塘江干支流上26个断面的水质监测指标。利用系统聚类分析方法将断面所在河流分为3组,与钱塘江流域污染空间分布现状基本一致。对各组水质的主成分分析表明,第1组河流水质以有机污染为主,水体中氮、磷营养盐浓度较高,水体污染程度较轻,污染来源相对单一;第2组河流水体受有机物、重金属、石油类等多个污染指标的影响,水体水质较第1组差,污染来源相对复杂;第3组河流水体既有一般有机污染,也有重金属、有毒有害物质的污染,水体水质污染严重。     

环境磁学在重金属污染研究中的应用

20世纪60年代以来,环境磁学以快速、灵敏、经济、无破坏性和信息量大等特点被广泛应用到环境污染研究中。笔者介绍了环境磁学应用于重金属污染监测的基本原理和优势,系统综述了其在大气,水体(湖泊、河流和海岸等)和土壤等环境重金属污染监测中的主要成果和最新进展,包括磁学参数可作为重金属污染物质代用指标,以及环境磁学在重金属污染分布特点和污染程度鉴定、重金属污染历史重建、重金属污染物运移追踪等方面的应用。提出了重金属污染磁性诊断研究还需要解决的问题,包括磁学参数多解性,其他环境过程(动力分选、吸附解吸和早期成岩等)的干扰和影响,磁性矿物与重金属物质赋存关系及多学科交叉研究等。     

以沙湖为例探究宁夏内陆封闭型湖泊水体污染原因

为研究西北地区封闭式湖泊水质恶化原因及水体污染物迁移转化规律,以宁夏沙湖为研究对象,对沙湖2012—2017年水体污染物总量变化趋势及沙湖周边地表水环境质量进行分析。研究结果表明:沙湖水环境质量变化主要由内源性污染和外源性输入造成,其中内源性污染源主要为沙湖沉积物污染物释放,沙湖水体沉积物通过孔隙水向沙湖水体转移的CODMn、CODCr、TP、TN、氟化物分别占水体总污染物的6.4%、6.6%、16.6%、14.2%、31.4%；沙湖外源性污染源主要为黄河补水和农垦集团稻田等面源污染,其中黄河补水向沙湖 转移的 CODMn、CODCr、TP、TN、氟化物分别占沙湖水体污染物总量的49%、30%、279%、99%、13%,沙湖周边面源性污染通过渗透作用向沙湖水体输入的CODMn、CODCr、TP、TN、氟化物分别占沙湖水体污染物总量的23%、18%、52%、34%、19%,外源性污染物输入占沙湖水体污染物总量CODMn、CODCr、TP、TN、氟化物分别为72%、48%、331%、133%、32%,但由于水体自身净化作用, TP和TN已大幅度降解。     

里下河典型区域渔业养殖水质及其对地表水环境质量影响分析

对渔业养殖水体进行监测分析，是评估养殖污染源对地表水环境质量影响的重要依据。选取里下河典型地区兴化市的养殖池塘和地表水断面作为研究对象，采用手工监测、相关性分析、三维荧光指纹和风险商值法等技术和分析方法，对养殖池塘和地表水断面水质开展研究。结果表明：养殖水体水质总体劣于地表水断面，养殖尾水排放达标率为89.7%，主要影响指标为pH值；Y1和Y2池塘对S1断面的高锰酸盐指数具有负面贡献；以养殖尾水为代表的农业源是影响S1断面水质的主要污染来源；地表水和养殖水体中林可酰胺类抗生素检出率均达100%，四环素类和头孢类抗生素在该地区养殖活动中的使用较多。风险商值法评估结果显示，Y2池塘养殖水体受磺胺甲恶唑影响的生态风险较高。     

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。     

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.     

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。     

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。     

Land Cover Changes as a Result of Environmental Restrictions on Nitrate Leaching in Dairy Farming

Nitrate leaching forms an important environmental problem because it causes pollution of groundwater and surface water, and adds to already problematic eutrophication. This study analyses the impact of reductions in nitrate leaching on land cover decisions of dairy farms, of which the activities make an important contribution to nitrate leaching. As the level of nitrate leaching depends on groundwater depth as well as on the supply of nitrogen, spatial variation in groundwater levels will cause a spatial variation in land cover under restrictions on nitrate leaching. A non-linear partial optimisation model for the economic and ecological aspects of the problem were used to show how land cover and dairy farms' financial balances change when nitrate losses are reduced. The model is spatially explicit, and describes nitrate leakage and yields of maize and grass as a function of groundwater depth, including the effects of various grazing systems. The model analyses the decisions of a risk neutral agent who minimises costs under the following constraints: (i) production, feed requirements and mass balances for fodder; (ii) constraints for nitrate leaching. Economic costs are attributed to increased costs of fodder and processing of manure when nitrate restrictions are tightened. An important result of the study is the variation in compliance costs and land cover for maize and grass production brought about by spatial variation in groundwater depth. While the effects are negligible for some shallow groundwater classes, it is extremely difficult in other classes – if not impossible – to obtain the EU standard of maximum admissible losses of 34 kg N ha^–1 at low costs. The study shows an important reduction in land cover by maize.