Water Quality Evaluation and Analysis on the Causes of Pollution for Groundwater Sources in Yantai, China

Based on the investigation for the 14 groundwater sources, the water quality of the groundwater sources had been analyzed, using the evaluation method of the combination of inorganic and organic index instead of the traditional method which was only based on inorganic index. The results showed that the quality of 12 groundwater sources satisfied class III standard of groundwater quality and other two exceeded class III standard. There were one groundwater source, whose water quality reached class 1 standard, and five groundwater sources, whose water quality reached class II standard. There were seven groundwater sources, in which the fluorine, an organic pollutant, was detected. The results showed that the groundwater resources in Yantai City were less polluted and the main pollutant in groundwater was nitrate. According to the analytical data and the environmental conditions of groundwater sources, the conclusion was drawn that the agriculture and rural non-point pollution were the main reasons of groundwater pollution.

Analysis of Pollution Sources and Countermeasures against Water Pollution in a Small River Basin of Chaohu Lake——A Case Study of the Shiwulihe River

The Shiwulihe River, the inflow river of Chaohu Lake in Hefei City, was taken as an example. Based on the current status of water quali- ty and analysis of pollution sources in the Shiwulihe River, countermeasures and suggestions of controlling water pollution were proposed to provide effective ways for the control of water pollution and restoration of aquatic ecosystem in the Shiwulihe River and other similar rivers flowing into lakes.

Analysis on Causes of Haze Formation and Prevention of Environmental Pollution in Puyang

Based on data of haze days observed by Puyang Meteorological Station of Henan Province from 1971 to 2012, climatic characteristics, causes and prevention countermeasures of haze in Puyang were discussed. The results showed that annual average haze days in Puyang tended to increase slightly over the past 42 years on the whole, and the increasing trend became obvious since the 1990s. Meanwhile, haze days in Puyang showed an obvious seasonal variation, that is, haze mainly appeared in autumn （from September to November） and winter （from December to next February）, and it was the most frequent in winter. Haze formation was closely related to meteorological and environment elements. Increase of calm wind in horizontal direction, inversion layer in vertical direction, and increase of suspended particulate matter could lead to aggregation of air pollutants, so that haze days increased. Some countermeasures against haze pollution, such as controlling pollution sources, limiting discharge of vehicle exhaust and industrial gases, and increasing green area, should be adopted to reduce haze harm to air quality and human health.

The application of the main-elements analysis technology based on GIS in the regional pollution source analysis and environmental quality improvement

In order to improve the use efficiency of environmental data intbrmation which has existed and to be produced, correctly control the situation of the regional environmental pollution, and supervise the regional environmental pollution recovery and urban planning, the paper crests the main-elements analysis module based on Super-Map GIS, beyond which, using the information of environmental pollution discharge data of some typical areas of Beijing. The paper analyses those representative regional environmental discharge data by the systemic main-clements analysis module, speedily discoveries and explains the regional environmental major control factors in the studying region. According to the special points of social, economical and environmental in the region, the paper gives out the improvement policies of regional environmental quality and practicable environmental engineering disposed project. This research not only indicates the development direction of the urban environmental management, but also builds up a main frame of the urban environmental planning. This paper and its relative works provide an efficiently digital management tool for the urban regional environmental management and explore the feasible method and mode for the improvement of urban regional environmental quality.

Characteristics and Source Analysis of Soil Heavy Metal Pollution in a Mining Area

It is of great significance to study the degree and source of soil heavy metal pollution in geological high background value area for remediation of local contaminated soil. The 0 - 20 cm topsoil was taken around the mining area, and the contents of Pb, Zn, Ni, Cd, Hg, Cu and As in the soil were measured. Single-factor pollution index, Nemeiro comprehensive pollution index and potential ecological risk index were used to evaluate the degree of heavy metal pollution and ecological risk. Finally, multivariate statistical analysis was used to analyze the sources of soil heavy metals. The results show that the measured elements are polluted to different degrees, mainly due to the ecological environment problems caused by extensive mining development methods and inefficient utilization of resources. The key link is the release of pollutants at the source. Effectively blocking the release at the source can cut off the possibility of pollutants entering the food chain and the circulation of materials in the ecosystem. The results of potential ecological risk index showed that the potential ecological damage of seven heavy metals was ranked as follows: Cd (97.67) > Hg (68.97) > As (14.29) > Pb (11.55) > Ni (4.62) > Zn (1.61) > Cu (1.45) had a high ecological risk coefficient, and the potential comprehensive ecological risk index was 200.16 and the degree was medium. Principal component analysis shows that the sources of heavy metals are divided into Pb, Cd, As, Zn and Hg mainly from human activities such As mining, while Ni and Cu mainly come from soil parent materials, mining and agricultural activities.

Investigation and Analysis of Guangzhou Nansha Coast Park Point Source Pollution and Non-point Source Pollution

[Objective]To find out the situation of Nansha Coast Park point and non-point source pollution.[Method]By investigating the park water environment,analysis of point and non-point source pollutants contribution rate,setting up water quality monitoring sites for basic data related indicators and then using national water quality standards to evaluate water quality.[Result]The Coast Park point source pollution mainly comes from the campus greeting fertilizer spraying.The COD of lakes and river outside the park and ammonia mean concentration belong to grade III.The total nitrogen of lake belongs to grade III.The total phosphorus belongs to grade IV.The total nitrogen of river is the worst.The total phosphorus is grade V.[Conclusion] The lake water quality is highly affected by the point and non-point source pollution,the quality of the river is worse than that of the lake in the park,and it needs powerful governance.

Chemical Composition of Urban Street Sediments and Its Sources

The distribution and the concentrations of various chemical elements in street sediments were investigated along a rural-urban boundary in Beijing, China. The statistical factor analysis of the data concerned identifies two anthropogenic sources responsible for the contamination of Beijing air. The first source is a steel factory in the western part of Beijing. From this source, Mn, Fe and Ti were emitted into the atmosphere through chimneys and by wind from coal heaps used as the primary energy source for the factory. The second source is a combination of traffic, domestic heating and some small factories in the center of Beijing urban area discharging Cu, Pb, Zn and Sn. Grain-size analyses show that most of the metals in the road dust have higher concentrations in the small grain-size fraction <0.125 mm, which is the severest case because these small particles with larger specific surface area and high heavy metal contents fly up easily and float in the air for a long time. Besides the anthropogenic contamination, such elements as Y, Zr, Nb, Ce and Rb are derived mainly both from natural soils and from the deserts. This is supported by mineral-phase analysis, which shows a clear imprint of materials in road dusts coming from the west China deserts. Our results clearly show that the chemical compositions of the urban road dusts can be used to identify distinctive sources responsible for the contamination mentioned above. The study shows that the chemistry of road dusts is an important monitor to assess the contamination in the urban environment.

The impacts of agricultural and rural economic policy system on agricultural non-point source pollution in China

Agricultural and rural economic policy system is one main driving force for the evolvement of agricultural Non-Point Source （NPS） pollution. In this paper, the main policies that influence agricultural NPS pollution are chosen, and a method to evaluate the impacts of agricultural and rural economic policy system on agricultural NPS pollution is brought forward. According to this, the questions about how and to what degree the policy system influence on agricultural NPS pollution are discussed.

Inversion method for multi-point source pollution identification:Sensitivity analysis and application to European Tracer Experiment data

Fast and accurate identification of unknown pollution sources plays a crucial role in the emergency response and source control of air pollution.In this work,the applicability of a previously proposed two-step inversion method is investigated with sensitivity experiments and real data from the first release of the European Tracer Experiment(ETEX-1).The two-step inversion method is based on the principle of least squares and carries out additional model correction through the residual iterative process.To evaluate its performance,its retrieval results are compared with those of two other existing algorithms.It is shown that for those cases with richer measurements,all three methods are less sensitive to errors,while for cases where measurements are sparse,their retrieval accuracy will rapidly decrease as errors increase.From the results of sensitivity experiments,the new method provides higher estimation accuracy and a more stable performance than the other two methods.The new method presents the smallest maximum location error of 18.20 km when the amplitude of the measurement error increases to 100%,and 22.67 km when errors in the wind fields increase to 200%.Moreover,when applied to ETEX-1 data,the new method also exhibits good performance,with a location error of 4.71 km,which is the best estimation with respect to source location.

Agricultural Non-point Source Pollution in China:Evaluation,Convergence Characteristics and Spatial Effects

In this study,an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution(ANSP)and its spatial convergence at national and provincial levels in China from 1999 to 2017.On this basis,spatial factors affecting ANSP were explored by constructing a spatial econometric model.The results indicate that:1)The intensity of China's ANSP emission showed an overall upward trend and an obvious spatial difference,with the values being high in the eastern and central regions and relatively low in the western region.2)Significant spatial agglomeration was shown in China's ANSP intensity,and the agglomeration effect was increasing gradually.3)In the convergence analysis,a spatial lag model was found applicable for interpretation of the ANSP intensity,with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth.4)The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment,labor-force quality,and crop production ratio,while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region.However,agricultural research and development(R&D)investment showed no direct significant effect on the ANSP intensity.Meanwhile,improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas,while the precipitation and runoff would significantly increase the pollution of neighboring regions.This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions.

安徽矾矿土壤重金属污染源解析模型对比与优选

矿区资源开采导致土壤污染日益严重,直接影响周边土壤、水体环境的稳定性,精准预测重金属污染源解析对矿山修复、治理具有重要指导作用。在前期研究基础上,为提升土壤介质模型的解释度,进一步选取了土壤重金属源解析评价中成熟度高且精准性好的正定矩阵因子分析法(positive matrix factorization, PMF)及绝对因子分析-多元线性回归(absolute factor analysis-multiple linear regression, APCS-MLR)模型,以充实前期UNMIX多元受体模型分析矾矿土壤重金属污染来源及源贡献率的结果,结合生态风险评价方法,对比定量条件下最适宜解析研究区域源的模型。结果表明:1)生态高风险区域主要集中在研究区南部和东部,Cd是矿山主要风险元素,地累积指数(index of geoaccumulation)均值3.75与潜在生态风险指数(potential ecological risk index)均值731.22解析结果高度一致,但潜在生态危害指数的结果综合性更好。2)对比3种模型的污染源解析结果,PMF模型解析出4个污染源:分别为燃煤源、自然-交通综合源、自然源和大气沉降源,源贡献率分别为38.15%、20.62%、24.28%、16.95%。3)PMF模型的总体变量拟合优度R2达到了0.96,拟合效果最好。PMF模型模拟数据会集中采样点误差,确定最适污染源数目及相应污染物贡献率,使得源解析结果更精准,更适用于复杂的矿山污染土壤情况,符合实际研究情况。该研究结果可为后续矿区开采后污染土壤的修复治理工作提供溯源依据参考。

城市污染源周边溴代二噁英分布特征研究

为了解城市污染源周边溴代二噁英类化合物(PBDD/Fs)的污染状况,文章选取上海市区的生活垃圾焚烧炉周边场地作为研究区域,采集夏、冬两季32个环境大气样品和61个土壤样品,研究城市污染源周边环境大气和土壤中PBDD/Fs的含量以及时空分布特征。结果表明,城市污染源周边大气中PBDD/Fs的浓度范围为13.8~115 fg/m^(3)(以毒性学量计,下同),平均值为44.3 fg/m^(3),冬季大气中PBDD/Fs浓度略高于夏季;土壤样品中PBDD/Fs的浓度范围为0.561~15.9 pg/g,平均值为3.66 pg/g,不同风向间PBDD/Fs浓度无显著差异;城市污染源周边环境大气中PBDD/Fs含量明显小于氯代二噁英的含量,而土壤中含量相当,甚至更高;城市污染源分析显示,研究区域环境大气和土壤中PBDD/Fs主要来源于商业十溴阻燃剂的使用与处置,以及电子垃圾中的溴代阻燃剂。

2022年末安徽一次大气重污染过程特征及成因分析

综合利用多源数据,应用HYSPLIT4轨迹分析、颗粒物区域传输分析等方法对2022年末安徽一次大气重污染过程变化特征及成因进行分析。结果表明:污染前期,受弱冷空气影响,有利于污染物输送至安徽地区;污染期间,地面处于弱气压场,混合层厚度较低,存在持续性逆温,且地面风速小、相对湿度较高、基本无降水,不利于污染物的扩散和清除,受区域输送叠加本地污染排放累积共同影响,污染程度加剧;2023年1月2日地面以东北、偏东风为主,风速增大、相对湿度下降、混合层厚度抬升,扩散条件转好,污染程度减轻。在此次污染过程中,山东、江苏、河南对安徽累积的区域输送贡献率占比为48.5%,高于安徽本地污染的贡献率(21.4%)。

基于冗余分析的成都市府河缓冲带土地利用对水质的影响

土地利用是影响河流水环境质量的重要因素之一。然而,大型城市河流缓冲区的土地利用类型及组成对河流水质的影响方式仍不清晰。选取成都市中心城区的府河及其支流作为研究对象,设置17个水质监测断面,于2018年1月—2019年12月对COD_(Mn)、NH_(4)^(+)-N和TP 3个水质指标开展连续监测。同时,还获得了相同时段内的降水数据和基于高分卫星(GF-1)影像解译的土地利用数据。在此基础上,利用空间分析以及冗余分析方法,探讨河岸缓冲区内土地利用结构、组成对府河及支流水质的影响。研究结果表明:选取河段从上游到下游的COD_(Mn)、NH_(4)^(+)-N和TP浓度均呈增加趋势,这3类污染物在上游第一个监测断面浓度依次为1.73、0.26、0.06 mg/L,到下游最后一个监测断面浓度为2.59、0.97、0.15 mg/L。相对于干流,府河支流污染物浓度无明显空间分布特征。从时间上看,6—9月水体中各污染物浓度相对较高。基于冗余分析的结果发现,在河段2 000 m缓冲区范围内的土地利用类型对水质的影响最明显,校正后的解释度达57%,表明河段内污染物质主要源于此区域。该范围内,建设用地与其他生产用地可能是COD_(Mn)与NH_(4)^(+)-N的主要源区,农业用地是TP的主要来源,生态用地对于COD_(Mn)与NH_(4)^(+)-N具有一定的吸收分解作用。但是,研究区生态用地以园林绿化用地为主,需要施用磷肥,可能成为水体TP的重要贡献源。因此,合理规划河流2 000 m缓冲范围内的建设用地与生态用地比例,控制园林绿化用地的施肥用量,是保障成都市城市河流水环境安全的重要途径。

基于监测与模型的典型合流制排水系统溢流污染来源解析

以北京中心城区某典型合流制分区为研究区,开展自“地表-管网-排口”的全过程监测,基于MIKE URBAN软件构建数值模型,构建一套结合监测与模型的溢流污染解析方法,量化分析不同降雨量级下溢流污染来源。结果表明:管道沉积物、地表径流和生活污水对COD的贡献率分别为43.4%~53.9%、27.4%~27.5%和18.6%~29.2%。中雨流量峰值晚于浓度峰值,大雨反之;两场降雨溢流水质浓度峰值差异小于流量峰值。随着降雨量级及强度增加,地表径流和管道沉积物的污染负荷增加,后者增加量更大。管道沉积物是合流制溢流污染的主要来源,应优先对其进行控制。

基于ReNuMa模型的武烈河氮磷负荷模拟及来源解析

武烈河是承德市工农业及居民生活用水的重要水源,开展流域污染物负荷模拟及来源解析对流域水污染控制和管理具有重要意义。采用ReNuMa模型对武烈河磷矿上游断面子流域2015—2020年的水文径流过程和全流域2018—2020年的总氮(TN)、总磷(TP)污染负荷量进行模拟,解析氮磷负荷的来源及贡献率。结果表明:(1)2018—2020年,年均TN负荷量为655.98 t,各污染来源贡献率由大到小依次为地下水(30.68%)>点源(25.63%)>腐生系统(25.16%)>沉积物源(12.85%)>地表径流(5.68%);2018—2020年,年均TP负荷量为8.12 t,各污染来源贡献率由大到小依次为沉积物源(49.58%)>点源(16.54%)>地下水(15.01%)>腐生系统(13.20%)>地表径流(5.67%)。(2)年内氮磷污染负荷入河量以非点源为主,分别占总负荷的74.37%和83.46%,点源与非点源的贡献占比受汛期和非汛期影响显著,非汛期以点源形式输入的负荷占比远超汛期(6—9月)的。本研究结果能够为流域水质改善和污染管控方案的制定提供借鉴。

河套灌区地表水污染溯源分析

针对河套灌区地表水污染来源不清、贡献不明的问题,本文基于9个监测断面月度水质数据,分析灌区地表水环境特征,引用正定矩阵因子分析模型解析污染来源及其空间差异性.结果表明:(1)有机污染指标(COD_(Mn)、COD、BOD_(5))和总氮是河套灌区的主要超标因子,总氮指标低于GB 3838-2002《地表水环境质量标准》Ⅲ类标准的样品数量占比超过67%,整体来说支排干水质差于总排干.其中,七排干入总排干口污染最重,COD_(Mn)与总磷浓度分别超GB 3838-2002Ⅲ类水质标准限值的109%和160%;其次是五排干入总排干口和三排干入总排干口.(2)散养畜禽粪污和秸秆还田以及生产生活污水输入分别是河套灌区地表水有机污染和氮的主要来源,贡献率分别达56.22%和47.82%.(3)河套灌区地表水污染来源具有明显的空间异质性,种植业磷肥输入是影响二排干、三排干和总排干上游水质的主要因素,生产和生活污水输入是影响五排干、七排干和总排干下游水质的主要因素.本文依托监测断面常规监测指标结合数学模型方法,实现了对河套灌区沟渠系统地表水污染的定量溯源,并分析了各监控断面的主要污染风险.

地下水污染源解析方法研究进展

地下水污染具有隐蔽性,污染过程缓慢且难以治理,近年来中国高度重视地下水环境保护工作,作为支撑“以防为主”保护理念的地下水污染源解析技术研究已成为地下水污染防治领域的研究热点。介绍了国内外地下水污染源解析方面的主要技术方法,包括同位素法、荧光光谱法、地质统计学法、主成分分析法、正定矩阵因子分析模型、自组织映射技术6种常用方法的基本原理及在地下水污染识别领域的应用和研究动态,总结了这些方法的优缺点与适用性,并就上述方法在地下水污染研究中的应用前景和发展趋势进行了展望。

典型有色金属冶炼区重金属污染特征及生态风险评价

为分析我国典型有色金属冶炼区重金属污染特征,全面了解其潜在生态风险和重金属污染来源,以云南省会泽县者海镇典型有色金属冶炼区为例,通过野外实地采样和室内重金属含量检测分析,运用单因子污染指数法、内梅罗综合污染指数法、潜在生态风险指数法、水质指数评价法、相关性和主成分分析法,对土壤、河道底泥和河道水质中Cd、Hg、As、Pb、Cr、Cu、Ni和Zn 8种重金属元素进行污染特征和潜在生态风险评价,并解析其来源。结果表明:研究区土壤和底泥的内梅罗综合污染指数(PN)平均值分别为84.1和215.5,均处于重度污染水平,重金属综合潜在生态危害风险指数(RI)平均值分别为3562.3和8907.0,均处于极高风险水平。研究区土壤和底泥中所有重金属元素含量均存在超过云南省土壤背景值的情况,并显著高于国家农用地土壤污染风险筛选值。其中,Cd是污染最严重的元素,土壤和底泥中Cd含量分别是国家农用地土壤污染风险管制值的8.2倍和15.8倍,其对土壤和底泥的RI贡献率分别达到94.34%和96.78%,应重点关注。研究区河道水质等级处于良好至很差水平,分别有56.25%和6.25%的采样点水体中Ni和Zn超过Ⅲ类水限值,其他重金属元素均未超标。研究区土壤以及底泥中Cd、Hg、As、Pb、Cu和Zn主要来源于当地矿业污染,Cr和Ni主要来源于燃料燃烧。总体来看,研究区Cd污染严重,存在极高的潜在风险,应采取安全利用和修复等措施降低其风险水平。