河流底泥污染及其控制与修复

水体底泥污染是世界范围内的一个环境问题。污染物通过大气沉降、废水排放、雨水淋溶与冲刷进入水体,最后沉积到底泥中并逐渐富集,使底泥受到严重污染。在河流环境中,河床沉积底泥以推移和悬浮形式输送,很大程度上导致了上覆水和沉积底泥的相互物理作用。河流有强有力的自然环境,在河流系统中趋向有利于沉积底泥的解吸作用,从而将会影响上覆水的水质。因此,在水质管理计划中,应该将已污染的沉积底泥作为一个污染源予以考虑,沉积底泥是河流污染的一个重要方面。文章根据近年来国内外对河流底泥污染的控制、处理、修复及利用的文献资料,分析了河流底泥的污染现状及主要类型,包括重金属、NP营养物质、难降解有机物和持久性有毒污染物等,指出了目前在底泥污染修复中存在的问题。针对河流底泥污染控制与修复技术,介绍了除控制外源污染物外的物理修复、化学修复和生物修复等几种主要的修复方法和技术,分析了各种方法的利弊以及适用情况。在阐述了堆肥、建材利用、低温热解、湿地及栖息地建设、修复废弃地和建设填方等利用方式后,提出具体的控制和修复应因地制宜,综合各种恢复技术及利用方式,以达到控制及修复污染的河流底泥,恢复河流生态系统之目的。     

沿河城市多点污染排放量优化控制

本文针对沿河城市污染排放的情况,分析了污染物排放对河流造成的污染,并根据Streeter—Phelps模型和城市河流对水质的要求,建立了沿河城市多点污染排放优化控制的线性规划模模,并编制了计算程序用来求解该数学模型.文中提供的算例及计算结果表明,本文提出的沿河城市多点污染排放量优化控制方法对城市排水系统的建设有较大的指导意义.     

董铺水库及入库河流表层沉积物污染状况评价

董铺水库是合肥市重要的水源地之一,其水质状况直接影响合肥市民的身体健康。了解董铺水库及入库河流营养元素和重金属等污染物含量及分布特征,对探究董铺水库污染状况及其控制与管理有重要参考意义。采集了董铺水库及入库河流25个采样点(断面)沉积物样本,测定总氮(TN)、总磷(TN)、有机质(OM)及4种重金属指标,采用氮磷综合污染指数和有机污染指数评价了库区及入库河流表层沉积物营养元素污染状况,并使用地累积指数及潜在生态风险指数评价沉积物4种重金属污染状况。结果显示:董铺水库库区及入库河流氮磷综合污染指数整体上属于清洁范围,库区少数采样点为轻度-中度污染;库区沉积物的总氮单项污染指数以及综合污染指数均高于入库河流,而总磷污染指数则表现出相反的趋势;有机污染指数整体上属于轻度水平,88.9%的河流断面沉积物属于清洁-中度污染,43.8%的库区采样点处于中度污染水平;地累积指数评价显示库区及入库河流沉积物中重金属Zn、Pb、Mn表现出轻度污染水平,Cu为清洁等级,4种重金属的平均污染程度由高到低依次是Zn、Pb、Mn、Cu,水库库区及入库河流潜在生态风险指数RI的平均值分别为12.6和11.8,均处于低风险水平,属于低生态危害程度。     

雷州半岛地表水体非点源污染物时空变化特征研究

以雷州半岛为研究区，利用2000-2003年问南渡河与九洲江，以及赤坎水库与鹤地水库的4年常规监测数据，结合实地调查，利用数理统计分析，对雷州半岛地表水体非点源污染物及其时空变化规律进行了初步研究。研究发现，河流与水库的水质均是以氮污染为主，水体有富营养化现象发生，同时，两河流在雨季都不同程度受到了非点源污染的影响，而只有赤坎水库明显受到了非点源污染的影响。究其原因，主要是由于土地利用方式的不同在一定程度上决定了雷州半岛地表水体非点源污染物质量浓度的时空变化特征。因此，只有合理调整流域和库区的土地利用方式、加强区域的水土流失治理工作，才能有效降低非点源污染所带来的地表水体环境污染问题。     

河湖相连水系水体污染控制技术与策略

太湖流域上游洮滆水系河湖相连,湖荡密布。以滆湖—太滆运河、漕桥河—太湖为例,分析了该区域水系特征、生态状况、水环境污染现状及存在的主要问题,提出河湖相连水系污染治理控制方案。通过加强流域污染物的源头控制,削减污染负荷,控污与生态修复相结合,提高湖荡自然净化能力和生态系统自我修复能力,拦截并净化水系入湖污染物,为入湖河流提供清洁水源;对入湖河流集水区各类污染源进行治理,拦截和控制沿线污染物进入入湖河流,建成清水河道,提高入湖河流自然净化能力,使污染物在入湖河流运移过程中进一步削减,在河湖连结处等关键水域构建强化净化污染物的生态拦截工程,再次削减入湖污染物,并对水系各污染控制要素进行系统调控和优化配置,在上游地区构建太湖污染防控和水环境保护的安全屏护体系。     

维护景观河道水质实现环境保护与经济有序发展双赢

景观河道自改造后正逐步形成区别于其它河流的独特景观河道水系特征。根据各项污染物的分析，综合评价水质现状，分析了污染源的分布及气候、降水、径流等因素对我市景观河道生态系统的影响，针对性的提出改善天津景观河道污染防治对策，以实现经济和环境的可持续发展。     

以有机污染为主的河流治理技术研究进展

借鉴国外污染河流治理与修复的经验,并结合我国当前严重的河流污染形势,介绍了以有机污染为主的河流治理技术的研究进展。根据污染河水处理系统与河道的相对空间关系,河流治理技术可分为三类,第一类是将河水引出河道水系,引入附近的污水处理厂进行处理的异地处理法,其中截污工程是异地处理法的关键;第二类是在河道内建设处理系统,沿程进行河水净化的原位处理法,如河道内的曝气法、投菌法、生物膜法和化学法等;第三类是在河岸带上建设处理系统,将河水分流其中进行处理的旁路处理法,如建于河岸上的人工湿地处理系统、氧化塘以及多种形式的生物床或生物反应器等,旁路处理法起着人工强化河岸带的作用,是目前受污染河流治理中值得关注的一条新思路。受污染河流的具体处理方法及空间位置的选择,需要根据实际情况而定。     

南京东郊蔬菜种植基地地表水氮、磷、重金属含量及影响因素

南京东郊典型蔬菜基地地表水环境质量的调查分析表明：(1)在当前的生产和生活条件下，地表水尚未受Pb、Cu、Zn、Cd和Cr污染，但有不同程度的氮、磷污染。(2)河流氮、磷污染比池塘严重。河流水中氨氮和水溶性磷的比例相对较高，而池塘水中硝态氮、有机氮和有机磷的比例相对较高，这种差别有助于识别地表水中氮、磷的来源。河流底泥中总氮、总磷和重金属含量(Cr除外)比塘泥高，表明河水氮、磷及重金属污染风险比池塘水高。(3)南京东郊蔬菜基地地表水中氮、磷及重金属主要来自城市生活污水的排放，其次来自蔬菜栽培中有机肥过量投入造成的流失。因此，保护城郊地表水应从城市生活污水净化和蔬菜栽培中有机肥的合理施用入手。     

德兴铜矿废水对乐安江底栖动物群落的影响

对乐安江水系的底栖动物及其生活环境进行的研究表明，位于乐安江上游的德兴铜矿排出的大量酸性废水对主活在该水系中的底栖动物的分布及其群落结构会产生直接影响．废水中的各种污染物质，尤以重金属（特别是铜和铅、锌、镉）对底栖动物群落的抑制作用最大．在下游，随着同污染源距离的增加，河流的污染状况逐渐减轻，底栖动物种类多样性逐渐增加，清洁种类逐渐恢复．另外，河流水量的季节性变化对河流自身的净化作用会产生很大影响．     

环太湖主要进出河流重金属污染及其生态风险评价

分析24条环太湖主要进出河流河口表层沉积物中Pb、Cd、Cu、Zn、Cr和Ni等6种金属含量特征,并用Hakanson潜在生态危害指数法评价其生态危害,旨在为合理预防和治理太湖重金属污染提供依据.结果表明,对照全国土壤环境质量标准,环太湖诸河口表层沉积物中Cd、Cu和Zn普遍超标,重金属污染强度总体上是北部河流南部河流,入湖河流出湖河流.潜在生态风险评价结果显示,本次监测的各河流河口都不同程度地受到重金属污染,以蠡河河口污染最重,达到很强生态危害.各重金属对太湖生态风险影响程度从高到低依次为CdCuPbNiZnCr.图5表2参17     

江苏省水污染的危害及其原因分析

论述了江苏省水污染事故及水环境污染对渔业生产、饮用水源、农牧业生产、工业生产的影响及造成的经济损失；指出河网地区水流滞缓流向不定，感潮河段水流往复运动是造成江苏省水体污染加剧的环境水力学因素，入境河流携带大量废水、污水也是造成局部地区水污染危害的重要原因     

秦皇岛主要入海河流污染及其对近岸海域影响研究

利用饮马河、洋河、汤河和戴河的水文和水质监测资料,分析了各河流的污染状况、营养状态、污染物入海通量及其对海域水质的影响。结果表明：秦皇岛市入海河流中饮马河和洋河污染较重;通过污染分担率分析,秦皇岛入海河流的首要污染物为DIN、COD,其次为PO43--P;采用综合营养状态指数法评价,汤河处于轻度富营养状态,戴河处于中度富营养状态,而洋河和饮马河都已达到重度富营养化状态,可见秦皇岛入海河流的富营养化现象非常严重;秦皇岛主要河流污染物入海通量近年来基本呈减小趋势,饮马河和洋河年均入海污染物量占到秦皇岛市陆源入海污染物总量的94.91%;通过相关分析表明,秦皇岛近岸海域的水质主要受入海河流影响,尤其是CODMn、DIN、PO43--P在河、海间存在线性关系,具有强相关性。因此应加强对入河污染物的管理,重点应放在生活污水、农业面源污染的治理上,从而改善近岸海域的水质状况。     

An assessment of contamination and ecological risk of metals in sediments of the Guaracara,Caparo and Couva rivers in Trinidad,West Indies

The presence of metals in an aquatic environment can serve as a biomarker for pollution and can be used to evaluate its contamination status. Rapid industrialisation in recent decades has propelled Trinidad and Tobago to be one of the most developed nations within the Caribbean region and has stimulated the awareness of potential ecological risks from various industrial activities affecting the rivers of Trinidad. Sediment samples from three rivers along the West coast of Trinidad were analysed for Cd, Cr, Cu, Mn, Ni, Pb and Zn. For all three rivers, the metal concentrations in sediments were in the range of 0.40–2.31?μg/g, 12.77–33.04?μg/g, 14.51–72.89?μg/g, 224.90–4472.83?μg/g, 8.20–43.08?μg/g, 22.63–38.34?μg/g and 92.0–5462.60?μg/g for Cd, Cr, Cu, Mn, Ni, Pb and Zn, respectively. Assessment of the pollution status indicated that all three rivers were considered polluted, with significant contributions from Cr, Cu, Mn, Ni and Zn. The potential ecological risk for all three rivers, however, was low and multivariate statistics revealed that mainly anthropogenic sources contributed to the metal concentrations in sediments of all three rivers.     

广东省跨市河流边界水质控制断面方案讨论

在对广东省主要跨市河流进行详细调查的基础上，分析现有跨市河流边界水质控制断面的存在问题；综合考虑跨市河段的地理位置、水体现状功能及水环境敏感性等因素，并兼顾上、下游地区社会经济发展现状及趋势，建议在新丰江、增江、韩江、灞江、绥江、西南涌、西江干流、榕江、枫江等河道新设边界水质控制断面13个，在全省共布设38个断面，构成广东省跨市河流边界水质达标管理的监测体系。文章还建议，要尽快制定广东省跨市河流边界水质保护条例，为加强广东跨市河流边界水质的达标管理，解决上下游地区之问的污染纠纷提供法律依据。     

Die rolle der umweltprobenbank in der Umweltüberwachung am beispiel von chlorierten kohlenwasserstoffen in ausgewählten matrizes

For precautinary environmental protection the Environmental Specimen Bank (ESB) has been successfully established as a permanent environmental surveillance tool in Germany. The presented monitoring results on chlorinated hydrocarbons (CHC) show very clearly the effects of political decisions and can be used for the identification of pollutant sources. The CHC burden of breams (Abramis brama) from five German rivers (Elbe, Rhein, Saar, Mulde, Saale) gives an current overview of the pollution situation of different limnic ecosystems in Germany. A calculation model about the distribution of organic pollutants between different tissues offers the possibility to predict concentrations in liver and muscle of breams. Legislative emission restrictions have led to a significant decrease of dioxin levels in herring gull (Larus argentatus) eggs between 1988–1996.     

Validation of Bacteroidales-based microbial source tracking markers for pig fecal pollution and their application in two rivers of North China

• Pig feces is the predominant excrement produced by animal husbandry in China. • The PF, Pig-1-Bac^TaqMan, and Pig-2-Bac^TaqMan MST assays showed better performance. • The pig-specific MST assays can contribute to managing the pig fecal pollution. In China, pig feces is the predominant source of excrement produced by animal husbandry. Improper use or direct discharge of pig feces can result in contamination of natural water systems. Microbial source tracking (MST) technology can identify the sources of fecal pollution in environmental water, and contribute to the management of pig fecal pollution by local environmental protection agencies. However, the accuracy of such assays can be context-dependent, and they have not been comprehensively evaluated under Chinese conditions. We aimed to compare the performance of five previously reported pig-specific MST assays (PF, Pig-Bac1^SYBR, Pig-Bac2^SYBR, Pig-1-Bac^TaqMan, and Pig-2-Bac^TaqMan, which are based on Bacteroidales 16S rRNA gene markers) and apply them in two rivers of North China. We collected a total of 173 fecal samples from pigs, cows, goats, chickens, humans, and horses across China. The PF assay optimized in this study showed outstanding qualitative performance and achieved 100% specificity and sensitivity. However, the two SYBR green qPCR assays (Pig-Bac1^SYBR and Pig-Bac2^SYBR) cross-reacted with most non-pig fecal samples. In contrast, both the Pig-1-Bac^TaqMan and Pig-2-Bac^TaqMan assays gave 100% specificity and sensitivity. Of these, the Pig-2-Bac^TaqMan assay showed higher reproducibility. Our results regarding the specificity of these pig-specific MST assays differ from those reported in Thailand, Japan, and America. Using the PF and Pig-2-Bac^TaqMan assays, a field test comparing the levels of pig fecal pollution in rivers near a pig farm before and after comprehensive environmental pollution governance indicated that pig fecal pollution was effectively controlled at this location.     

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov chain Monte Carlo algorithm

● A hydrodynamic-Bayesian inference model was developed for water pollution tracking. ● Model is not stuck in local optimal solutions for high-dimensional problem. ● Model can estimate source parameters accurately with known river water levels. ● Both sudden spill incident and normal sewage inputs into the river can be tracked. ● Model is superior to the traditional approaches based on the test cases. Water quality restoration in rivers requires identification of the locations and discharges of pollution sources, and a reliable mathematical model to accomplish this identification is essential. In this paper, an innovative framework is presented to inversely estimate pollution sources for both accident preparedness and normal management of the allowable pollutant discharge. The proposed model integrates the concepts of the hydrodynamic diffusion wave equation and an improved Bayesian-Markov chain Monte Carlo method (MCMC). The methodological framework is tested using a designed case of a sudden wastewater spill incident (i.e., source location, flow rate, and starting and ending times of the discharge) and a real case of multiple sewage inputs into a river (i.e., locations and daily flows of sewage sources). The proposed modeling based on the improved Bayesian-MCMC method can effectively solve high-dimensional search and optimization problems according to known river water levels at pre-set monitoring sites. It can adequately provide accurate source estimation parameters using only one simulation through exploration of the full parameter space. In comparison, the inverse models based on the popular random walk Metropolis (RWM) algorithm and microbial genetic algorithm (MGA) do not produce reliable estimates for the two scenarios even after multiple simulation runs, and they fall into locally optimal solutions. Since much more water level data are available than water quality data, the proposed approach also provides a cost-effective solution for identifying pollution sources in rivers with the support of high-frequency water level data, especially for rivers receiving significant sewage discharges.