山东南四湖上级湖水质变化评价(2008-2014年)及成因分析

基于南四湖上级湖6个监测点2008-2014年42个奇数月份的水质资料,选取溶解氧、化学需氧量(COD)、高锰酸盐指数(COD_Mn)、五日生化需氧量(BOD₅)、氨氮、总磷和氟化物作为水质评价的指标.对水质指标的归一化方法进行了改进,采用主成分分析法对6个监测点的水质综合状况进行评价,根据得出的各月综合得分序列分析水质变化趋势.与2000-2007年南四湖上级湖的水质综合状况进行比较,2008-2014年水质明显变好.评价结果表明,同一监测点的水质在不同时间点上有明显变化,同一时间序列不同监测点的水质状况也有不同变化.此外,分析得出南四湖上级湖的主要水质影响指标为COD、COD_Mn和BOD₅.结合评价结果,分析水质变化原因,入湖河流水质状况和湖区底泥是其重要影响因素.     

Two-layered, 2D unsteady eutrophication model in boundary-fitted coordinate system

The decline of water quality in Tolo Harbour in recent years is an example of eutrophication. This paper delineates a robust unsteady two-layered, 2D finite difference numerical model for eutrophication in coastal waters. The modelling is based upon the numerically generated boundary-fitted orthogonal curvilinear grid system and integrated with a hydrodynamic model. It simulates the transport and transformation of nine water quality constituents associated with eutrophication in the waters, i.e. three organic parameters (carbon, nitrogen and phosphorus), four inorganic parameters (dissolved oxygen, ammonia, nitrite + nitrate and orthophosphate), and two biological constituents (phytoplankton and zooplankton). Key kinetic coefficients are calibrated with the field data. The hydrodynamic, pollution source and solar radiation data in the model are real-time simulated. The computational results show that the present model mimic the stratification tendency for eutrophication phenomena during summer time in the Tolo Harbour successfully. The model running time for the long-term simulation is not excessive and it can be run on a microcomputer.     

Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques

In the study, multivariate statistical methods including principal component analysis (PCA)/factor analysis (FA) and cluster analysis (CA) were applied to analyze surface water quality data sets obtained from the Huaihe River segment of Bengbu (HRSB) and generated during 2 years (2011–2012) monitoring of 19 parameters at 7 sampling sites. The results of PCA for 7 sampling sites revealed that the first four components of PCA showed 94.89% of the total variance in the data sets of HRSB. The Principal components (Factors) obtained from FA indicated that the parameters for water quality variations were mainly related to heavy metals (Pb, Mn, Zn and Fe) and organic related parameters (COD, PI and DO). The results revealed that the major causes of water quality deterioration were related to inflow of industrial, domestic and agricultural effluents into the Huaihe River. Three significant sampling locations—(sites 2, 3 and 4), (sites 1 and 5) and (sites 6 and 7)—were detected on the basis of similarity of their water quality. Thus, these methods were believed to be valuable to help water resources managers understand complex nature of water quality issues and determine the priorities to improve water quality.     

Impact of the intensive shrimp farming on the water quality of the adjacent coastal creeks from Eastern China

The effects of shrimp aquaculture on the adjacent water bodies over a crop cycle period were evaluated by studying the water quality of inlet and outlet creeks located within Xuwei Salt Field, Lianyungang City of Jiangsu Province. The characterization of the water consisted of the evaluation of the variation of 10 parameters along the inlet and outlet creeks and during the period of March-September. These parameters were pH, temperature, dissolved oxygen, nutrients (ammonium, nitrite, nitrate and inorganic phosphorus), Chlorophyll a, chemical oxygen demand (COD) and total organic carbon (TOC). Average concentrations of inorganic nitrogen (1.5 mg/l), inorganic phosphorus (0.024 mg/l), Chlorophyll a (0.0025 mg/l), COD (5.77 mg/l) and TOC (6.57 mg/l) at the discharge site in the outlet creek were significantly higher than in the inlet creek (0.33, 0.012, 0.0018, 4.72 and 3.68 mg/l, respectively). There were no significant differences between the inlet and outlet creeks in pH, temperature and DO. With a water quality criteria based on local laws, a significant pollution was observed in the area, with inorganic nitrogen being the most significant pollutant, followed by COD and inorganic phosphorus.     

太湖流域上游西苕溪支流的营养状态特征及成因分析

为了解太湖流域上游支流水体的营养状态特征及流域附近土地利用对水质的影响,选取了入湖水系西苕溪的10条主要支流进行了野外采样和实验室研究.研究结果表明,支流总磷(TP)、颗粒磷(PP)、总溶解性磷(TDP)、总氮(TN)、铵态氮(NH+4-N)、硝态氮(NO-3-N)含量季节间差异较大,TP含量范围为0.033~0.205 mg/L,PP含量范围为0.007~0.104 mg/L,TN含量范围为2.014~5.921 mg/L,NH+4-N含量范围0.021~1.659 mg/L,NO-3-N含量范围1.082~3.415mg/L,COD范围为6.5~15.5 mg/L.总体上呈现为枯水期平水期丰水期.部分支流受到不同程度的氮污染.利用水质参数进行聚类分析,可以将10条支流分成4类,其水体营养特征与周围环境相联系.支流营养盐、COD的通量明显受流量控制,表现为丰水期平水期枯水期.土地利用类型的差异是导致其水质变化的主要原因,耕地和居民地主要起源的作用,林地和草地主要起汇的作用.在丰水期和枯水期,对各指标影响最大的土地利用类型为耕地和林地;在平水期,对TP影响最大的是居民地,而对TN影响最大的是林地.     

Water‐quality response to a high‐elevation wildfire in the Colorado Front Range

Water quality of the Big Thompson River in the Front Range of Colorado was studied for 2 years following a high‐elevation wildfire that started in October 2012 and burned 15% of the watershed. A combination of fixed‐interval sampling and continuous water‐quality monitors was used to examine the timing and magnitude of water‐quality changes caused by the wildfire. Prefire water quality was well characterized because the site has been monitored at least monthly since the early 2000s. Major ions and nitrate showed the largest changes in concentrations; major ion increases were greatest in the first postfire snowmelt period, but nitrate increases were greatest in the second snowmelt period. The delay in nitrate release until the second snowmelt season likely reflected a combination of factors including fire timing, hydrologic regime, and rates of nitrogen transformations. Despite the small size of the fire, annual yields of dissolved constituents from the watershed increased 20–52% in the first 2 years following the fire. Turbidity data from the continuous sensor indicated high‐intensity summer rain storms had a much greater effect on sediment transport compared to snowmelt. High‐frequency sensor data also revealed that weekly sampling missed the concentration peak during snowmelt and short‐duration spikes during rain events, underscoring the challenge of characterizing postfire water‐quality response with fixed‐interval sampling. Copyright © 2015 John Wiley & Sons, Ltd.     

Surveillance of Invasive Bacterial Pathogens and Human Enteric Viruses in Wastewater Final Effluents and Receiving Water Bodies – a Case Study from Durban,South Africa

The physico‐chemical characteristics and microbial composition of the final effluents of two municipal wastewater treatment plants in South Africa were assessed between July and September 2009. The impact of the treated final effluents on the receiving water bodies was also evaluated. The temperature across all sampling points ranged between 14 and 22°C, while pH varied from 6.9 to 7.6. High levels of turbidity, chemical oxygen demand (COD), ammonia, nitrate, nitrite and orthophosphate (PO₄) were observed in many cases. Turbidity of the samples was in the range of 2.2–288.6 NTU. The concentrations (mg/L) of other physico‐chemical parameters are as follows: COD (9.33–289); ammonia (0.000340–45.4); nitrate (0.062–539); nitrite (0.021–22.6); PO₄ (5.3–33.2). The microbial quality of the effluents discharged from the plants did not comply with the limits set by the South African guidelines with respect to pathogens such as Salmonella, Shigella, Escherichia coli, total coliform, faecal coliform, enterococci, faecal streptococci, and viral particles for effluents intended for discharge into receiving watersheds. This study revealed an undesirable impact on the physico‐chemical and microbial qualities of the receiving water bodies as a result of the discharge of inadequately treated effluents from the wastewater treatment facilities. This poses a health risk to several rural communities which rely on the receiving water bodies primarily as their sources of domestic water and recreational purposes. There is therefore a need for the intervention of appropriate regulatory agencies in South Africa to ensure compliance of treatment facilities with wastewater effluent quality standards.     

辽宁省大伙房水库及入库河流水质空间特征与河库水质关系

入库河流与水库存在空间上的连续性,河流污染物输入是水库水质恶化的主要原因,对大伙房水库及其入库支流61个采样点的水质状况进行调查,并运用聚类分析和主成分分析对大伙房水库及入库支流的水质空间特性和主要污染物进行分析.聚类分析显示,按照水质相似性将大伙房水库及入库支流水质可分为上游区、下游区和库区3个典型空间区域.分别对3个区域进行主成分分析,结果显示:入库支流上游区和下游区水质主要影响因素为氨氮、总氮和化学需氧量,库区影响水质的主要因素为温度、p H值、浊度、溶解氧、电导率、氨氮和总氮.对上游、下游和库区水质均有显著影响的因子为氨氮和总氮,上游区、下游区和库区氨氮浓度均值分别为0.06、0.10和0.19 mg/L,总氮浓度均值分别为0.13、0.16和0.26 mg/L.入库河流下游区对水库水质影响较大,受社河和浑河污染物输入的影响,大伙房水库水质在空间上呈现社河入库区水质优于浑河入库区水质.并且库区氨氮和总氮浓度均与距岸边距离呈负相关,溶解氧和p H值均与距入库口距离呈负相关,表明入库河流污染物输入和环库区面源污染均对大伙房水库水质产生一定影响.     

Protein‐like fluorescence intensity as a possible tool for determining river water quality

The results of a comparison between chemical water quality determinants and river water fluorescence on the River Tyne, NE England, demonstrate that tryptophan‐like fluorescence intensity shows statistically significant relationships between nitrate, phosphate, ammonia, biochemical oxygen demand (BOD) and dissolved oxygen. Tryptophan‐like fluorescence intensity at the 280 nm excitation/350 nm emission wavelength fluorescence centre correlates with both phosphate (r = 0·80) and nitrate (r = 0·87), whereas tryptophan‐like fluorescence intensity at the 220 nm excitation/350 nm emission wavelength centre correlates with BOD (r = 0·85), ammonia (r = 0·70) and dissolved oxygen (r = ?0·65). The strongest correlations are between tryptophan‐like fluorescence intensity and nitrate and phosphate, which in the Tyne catchment derive predominantly from point and diffuse source sewage inputs. The correlation between BOD and the tryptophan‐like fluorescence intensity suggests that this fluorescence centre is related to the bioavailable or labile dissolved organic matter pool. The weakest correlations are observed between tryptophan‐like fluorescence intensity and ammonia concentration and dissolved oxygen. The weaker correlation with ammonia is due to removal of the ammonia signal by wastewater treatment, and that with dissolved oxygen due to the natural aeration of the river such that this is not a good indicator of water quality. The observed correlations only hold true when treated sewage, sewerage overflows or cross connections, or agricultural organic pollutants dominate the water quality—this is not true for two sites where airport deicer (propylene glycol, which is non‐fluorescent) or landfill leachate (which contains high concentrations of humic and fulvic‐like fluorescent DOM) dominate the dissolved organic matter in the river. Mean annual tryptophan‐like fluorescence intensity agrees well with the General Water Quality Assessment as determined by the England and Wales environmental regulators, the Environment Agency. Copyright © 2004 John Wiley & Sons, Ltd.     

种植不同植物的人工湿地深度处理城镇污水处理厂尾水的中试研究

利用种植不同植物的人工湿地对污水厂尾水进行深度处理以达到更严格的排放标准.利用5块尺寸一致的中试规模人工湿地,以潮汐流作为运行方式,研究不同植物对尾水的处理效果.经过一年的实验,结果表明：5块人工湿地出水各指标均能达到提升标准的排放要求.在不同植物的去污效果对比实验中,种植芦苇（Phragmites communis）的人工湿地对化学需氧量（COD）、氨氮和总氮（TN）的平均去除率均为最高,分别为24.01%、68.15%和92.70%;种植风车草（Cyperus alternifolius）的人工湿地对TP的平均去除率最高,为71.68%.在不同季节的去污效果对比实验中,春季芦苇湿地对COD、氨氮和TN的去除效果最好,平均去除率分别为52.51%、76.06%和92.04%,美人蕉（Canna indica）湿地对TP去除效果最好,平均去除率为66.72%;夏季对COD、氨氮、TP和TN处理效果最好的分别是种植丝带草（Phalaris arundinacea）、菖蒲（Acorus calamus）、风车草和芦苇的人工湿地,平均去除率分别为15.83%、78.11%、67.30%和91.73%;秋季对COD、氨氮、TP、TN处理效果最好的分别是种植芦苇、丝带草、风车草、美人蕉的人工湿地,平均去除率分别为12.19%、58.82%、83.16%和94.01%;冬季对COD去除效果最好的是种植丝带草的人工湿地,平均去除率为33.39%,对氨氮、TP处理效果最好的是种植美人蕉的人工湿地,平均去除率分别为76.33%和79.43%,对TN处理效果最好的是种植芦苇的人工湿地,平均去除率为94.97%.在以后的实际工程中,可以考虑用种植不同季节、不同指标对应的最佳去污植物为主,并且搭配种植其他植物的人工湿地进行污水厂尾水的深度处理.     

洱海近50a来沉水植被演替及其主要驱动要素

依据文献报道的洱海水质、水文(水位)和沉水植被(物种组成、生物量及分布面积)数据,分析了近50年来洱海的水质变化、水位波动情况以及沉水植被的演替过程,探讨了驱动洱海沉水植被演替的主要环境因子.分析表明,洱海沉水植被群落经历了原生、过渡、顶级和衰退等主要阶段;自1980s以来,流域入湖营养盐增加、水质持续下降、藻类生物量逐年升高、沉水植被群落结构简单化和抑藻功能退化等因素是驱动洱海沉水植被演替与分布的原动力,水位大幅波动加速了洱海水生态系统由清水态向浊水态转变,并导致沉水植物大量衰退和某些特有物种消失.因此,在洱海水生态系统的治理以及沉水植被的恢复过程中,应优先考虑降低外源营养盐输入和优化水位调控.     

调水前后南四湖藻密度及水环境要素变化特征

为探究大规模调水输入背景下南四湖生态环境演变特征,采用多种非参数统计方法综合分析2010—2020年南四湖藻密度、总氮(TN)、总磷(TP)、氨氮、叶绿素a(Chl.a)、五日生化需氧量(BOD₅)、高锰酸盐指数(COD_Mn)年际年内变化规律和影响因素.结果表明：2010—2020年南四湖上、下级湖水质综合污染指数年均值范围分别为0.759～0.945、0.719～0.926,水质总体逐渐改善,但TN单项污染指数存在超标现象,主要可能与入湖河流中高浓度氮输入有关.受南水北调东线工程运行初期与严峻旱情的影响,南四湖藻密度、TP、氨氮、Chl.a在2013—2015年发生突变,随后均呈增加趋势.南水北调东线工程的运行对南四湖藻密度的年内波动影响强烈,调水工程运行后每年10月份出现峰值,其中2016年上级湖藻密度高达520.0×10⁴cells/L.湖区藻密度不仅与氮磷质量比(TN/TP)、TP、COD_Mn、Chl.a呈显著相关,还与降雨、水温密切相关.在南四湖生态环境保护治理过程中,应强化关键水质指标的...     

A 50-year record of nitrate concentrations in the Slapton Ley Catchment,Devon, United Kingdom

Slapton Ley, a coastal lake, is the largest natural body of fresh water in south-west England. There was concern in the 1960s that the lake was becoming increasingly eutrophic. To quantify inputs of water, sediment and nutrients into the lake, Slapton Ley Field Centre initiated a programme of weekly water quality sampling in September 1970. Of all the chemical properties which have been measured over the decades, the nitrate record has been the subject of more research than any other. The weekly monitoring has been supplemented by research projects aimed at understanding aspects of processes and patterns of nitrate delivery to the stream network. Three aspects of the nitrate record are reviewed: short-term process dynamics; the annual cycle of influent streams and the lake itself; and long-term trends. In the first two decades of monitoring, there was increasing concern about a trend of rising nitrate concentrations, an issue in most lowland rivers in the United Kingdom at the time. In the 1990s, nitrate concentrations levelled off and then have fallen steadily in recent years. In relation to eutrophication, there are clear signs of improvement in the influent streams, but concerns remain about water quality in the lake itself.     

Long-term Circulation and Eutrophication Model for Tolo Harbour,Hong Kong

Since the early 1980s excessive discharges of organic waste into Tolo Harbour have created serious problems through nutrient enrichment. A number of eutrophication related problems have been reported which incurred financial losses of billions of dollars and serious ecological imbalance. This work addresses the development, verification and application of a water quality model to synthesize the available large database of water quality and to study water quality management issues of Tolo Harbour. Since detrimental water quality problems usually occur during summer when there is stratification and the water temperature is high, the tidally-averaged hydrodynamics and the relative contribution of gravitational circulation and tidal exchanges in Tolo Harbour have been studied. Gravitational circulation is found to be the dominant mixing process for most of the year, accounting for 70 percent of the mixing. A simple and tractable predictive two-layer mass transport and diagenetic dynamic eutrophication model has been developed. The model computes daily variation of key water quality variables in the water column: algal biomass, dissolved oxygen, organic-nitrogen, ammonium-nitrogen, nitrate-nitrogen, and carboneous oxygen demand. In addition, to study the response and impact of the seabed to the overall eutrophication process a sediment sub-model is developed. The diagenetic sediment sub-model computes explicitly the amount of nutrient recycled and the sediment oxygen demand exerted on the water column. The calibrated model has been validated against a 20 year water quality data base under a wide range of hydro-meteorological and environmental conditions. Both spatial and seasonal variation of observed water quality variables are reproduced. The verified model shows that a significant reduction of total nitrogen loading would be required to meet the water quality objectives, with a recovery time of three months for water column and more than two years for sediment.     

Impact of urbanization on the ecology of Mukuvisi River,Harare, Zimbabwe

The main objective in this study was to compare the physico-chemical characteristics and biota of a river (Mukuvisi) passing through an urban area to that of a non-urbanised river (Gwebi). Five sites in the Mukuvisi River and five sites in the Gwebi River were sampled for water physico-chemical parameters (pH, conductivity, DO, BOD, TDS, ammonia, Cl, SO₄²⁻, PO₄²⁻, NO₃³⁻, F⁻, Pb, Cu, Fe, Mn, Zn and Cr) once every month between August, 2012–August, 2013. Cluster analysis based on the physico-chemical parameters grouped the sites into two groups. Mukuvisi River sites formed their own grouping except for one site which was grouped with Gwebi River sites. Principal Component Analysis (PCA) was used to extract the physico-chemical parameters that account for most variations in water quality in the Mukuvisi and Gwebi Rivers. PCA identified sulphate, chloride, fluoride, iron, manganese and zinc as the major factors contributing to the variability of Mukuvisi River water quality. In the Gwebi river, sulphate, nitrate, fluoride and copper accounted for most of the variation in water quality. Canonical Correspondence Analysis (CCA) was used to explore the relationship between physico-chemical parameters and macroinvertebrate communities. CCA plots in both Mukuvisi and Gwebi Rivers showed significant relationships between macroinvertebrate communities and water quality variables. Phosphate, ammonia and nitrates were correlated with Chironomidae and Simulidae. Gwebi River had higher (P < 0.05, ANOVA) macroinvertebrates and fish diversity than Mukuvisi River. Clarias gariepinus from the Mukuvisi River had high liver histological lesions and low AChE activity and this led to lower growth rates in this river.     

Patterns in the linkage of water quantity and quality during low‐flows

This study investigates 72 catchments across the federal state of Baden‐Wuerttemberg, Germany, for changes in water quality during low‐flow events. Data from the state's water quality monitoring network provided seven water quality parameters (water temperature, electrical conductivity, concentrations of chloride, sodium, sulfate, nitrate, and phosphate), which were statistically related to streamflow variability. Water temperature changes during low‐flow showed seasonal dependence. Nitrate concentrations revealed high spatial heterogeneity with about one third of the stations showing decreasing values during low discharge. For most other parameters, concentrations increased during low‐flow. Despite consistent trend directions, the magnitudes of changes with streamflow differed markedly across the state. Both multiple linear regression and a multiple analysis of variances were applied to explain these differences with the help of catchment characteristics. Results indicated that for sulfate and conductivity, geology of the catchments was the most important control, whereas for chloride, sodium, and nitrate, sewage treatment plants had the largest influence. For phosphate, no clear control could be identified. Independent from the applied method, land use was a less important control on river water quality during low‐flow than geology or inflow from sewage treatment plants. These results show that the effects of diffuse and point sources, as well as those of natural and anthropogenic sources differ for different water quality parameters. Overall, a high diversity of potential water quality deterioration signals needs to be considered when the ecological status of rivers is to be protected during low‐flow events.     

抚仙湖水质变化(1980-2011年)趋势与驱动力分析

水质恶化是湖泊系统生态健康的主要制约因素之一,科学地判别水质变化趋势是正确认识和解决水环境问题的首要步骤.基于抚仙湖1980-2011共32年湖体水质监测数据,采用Mann-Kendall和Daniel趋势检验法分析了高锰酸盐指数(COD_Mn)、总氮(TN)、总磷(TP)、透明度(SD)、叶绿素a(Chl.a)和浮游植物丰度等6项指标的年际变化趋势;从人类活动和自然环境变化2个角度,筛选出9项水质变化的驱动指标,建立了水质指标与驱动指标之间的灰色关联模型.研究结果表明:①统计的6项指标年际波动较大,其中TP、TN和浮游植物丰度的变异系数最大,达到0.6以上;②在α=0.05显著性水平上,COD_Mn、TN、SD、Chl.a和浮游植物丰度等5项指标均有恶化趋势,Mann-Kendall和Daniel趋势检验2种方法的检验结果一致;③驱动因子与水质指标之间有较强的相关水平,其中,人口数量和水温是主要驱动因子,与主要水质指标的灰色关联系数达到0.7以上的强相关水平.     

Water quality in rural areas of the Czech Republic: Key study Slapanka River catchment

The article evaluates the water quality in rural areas in the Czech part of Labe River catchment using the example of Slapanka River catchment. This river drains a typical landscape of Ceskomoravska Highland. Water quality in rural areas is still very low and the attention is paid to organic substances and nutrients. Increased amount of them in streams is caused mainly by agriculture and production of municipal wastewater resulting in increased eutrophication. A significant part of the article consists in the evaluation of point and non-point sources of water pollution. Identifying the type of the pollution source is helped by regression analysis using data from the public monitoring network. Eleven sampling sites were selected for evaluating the water quality. Physical and chemical analyses were made 12 times during the field monitoring in the years 2001–2003.In long-term development water quality has improved in all monitored parameters during the last 15 years. Least significant improvement has been found with the concentration of nitrate nitrogen. The water quality within the whole catchment area still remains low.To reduce the influence of pollution sources, we recommend the sanitation of diffuse sources of pollution from small settlements with less than 2000 inhabitants, and a successive change from agricultural management and intensive mass production to extensive ways, especially in mountain and sub-mountain areas.