新疆主要湖泊,水库的水质综合特征评价模式及灰色预测分析

为了解新疆湖、库的水质现状，采用水质综合评价模式对新疆主要湖、库水质现状给出了适应《地面水环境质量标准》ＧＢ３８３８－８８为标准的水质综合特征模式。该模式给出的信息量大，表达直观，不仅能给出各水质参数的水域类别，划分水域类别的依据参数，还能给出超Ｖ类水域的水质参数的超标倍数。在现状评价基础上，利用灰色系统理论对污染湖、库的主要污染参数进行了预测分析。     

紫坪铺水库水质及水体富营养化状况分析

为了探究紫坪铺水库水质情况和富营养化状态变化情况,于2012年1月至2016年12月每月对水库四个监测点位进行采样分析,基于《地表水环境质量标准》(GB3838—2002)水质评价、综合营养状态指数(TLI)等方法,分析水质情况和水体富营养化的时间和空间变化情况。结果表明:①年平均水质指标中:溶解氧、高锰酸盐指数、五日生化需氧量、氨氮主要为Ⅰ类、Ⅱ类水质,总氮为Ⅲ类水质,总磷除2016年为Ⅳ类水质外其余年份均为Ⅲ类水质;②TLI年均值主要呈逐年升高趋势,但最高值为29.63;③TLI值空间分布特征为:库头﹥入湖库口﹥库中﹥库尾,时间分布特征为:5月、6月、7月、8月﹥1月、2月、3月、4月、9月﹥10月、11月、12月(丰水期﹥平水期﹥枯水期)。研究显示,紫坪铺水库水质整体主要处于湖库地表水Ⅲ类水质和贫营养化状态。     

河北省地表水环境污染特征及分析

河北省1998年-2005年的水环境质量监测数据分析表明：河北省地表水污染恶化趋势基本得到遏制，但部分地区水污染矛盾仍很突出；水体总体污染减轻，但氨氮污染有加重趋势；主要湖（库）水水质稳定，但普遍呈不同程度的富营养化。在此基础上，分析了地表水污染的原因，并提出了河北省改善地表水环境污染的对策与措施。     

分形理论在艾里克湖富营养化评价中的应用

准确评价艾里克湖所处的营养状态,是提出切实可行的污染防治措施的科学依据。本研究选取分形理论对艾里克湖水质进行评价,通过计算单个水质指标分维数,由最大似然分类原则确定评价分维数,并以2014年7月25日的实测水质指标代表艾里克湖平水期的水质现状,采用加权平均法求算艾里克湖多个水质指标的综合评价等级。结果表明:艾里克湖整个湖区处于中富营养化程度,水质评价结果与实际情况相符。经过艾里克湖实测水质资料的验证,分形评价法具有计算精度高、方法简单、计算量小等特点,是湖泊富营养化评价的一种较好的方法。     

神龙湖水质现状及综合评价

2016年7月—12月对神龙湖开展了水质调查,并采用综合营养状态指数和内梅罗指数对神龙湖的水环境质量进行评价。结果表明,监测期间TN和TP平均质量浓度分别为1.71mg/L和0.07 mg/L,分别是GB 3838—2002Ⅲ类标准的1.71倍和1.4倍。富营养化状态为中营养,各营养指标对富营养化贡献依次为TPTNSDchlaCODMn。重金属指标内梅罗指数评价结果为轻度污染,重金属污染较轻。     

郪江流域遂宁段水环境质量调查和评价

为研究郪江流域遂宁段水环境质量，对郪江干流和8条支流开展了现场调查和定期监测。采用内梅罗综合污染指数、断面类别比例法和水环境质量指数对流域水质进行了综合分析。利用综合营养状态指数对水源地水体富营养化进行了评价。结果表明：郪江流域遂宁段水质不能够达到《地表水环境质量标准》(GB3838-2002)Ⅲ类标准要求，水质为轻度污染，枯、平水期水质优于丰水期。支流水质较差，加重了干流水体负荷。流域部分饮用水源地为Ⅳ类水质，同时表现为轻度富营养化。研究成果为水质改善提供理论依据和水生态环境质量稳定达标提供技术支撑。     

成都市城区主要人工湖泊水质调查与富营养化水平评价

成都市人工湖泊日益增多,但水质状况不容乐观。2017年5月和7月,分别对成都市城区的主要12个人工湖泊进行了水质调研。结果发现:(1) TN (劣V占52. 17%)和TP (V类21. 74%、劣V30. 43%)是人工湖泊超标的2个主要指标;(2)除麓湖以外,都处于富营养化状态(中度及重度占30%,轻度占70%);(3)城市湖泊水质富营养化的原因在于缺少系统管控机制和有效工程措施落实。     

奥运湖不同补水方案营养状态趋势分析

规划中的奥运湖位于奥林匹克公园，运行中将采用人工补水方式。为保证未来奥运湖的正常景观生态功能，源水经奥运公园中人工湿地处理后再引入湖中。在规划设计阶段，提出三种补水方案：（1）清河再生水厂出水经湿地处理后入湖，（2）清河河水经湿地处理后入湖，（3）经湿地处理达地表水环境标准中的Ⅳ类水要求后入湖。为了考察不同水源补水方案对奥运湖的水质保障程度，本研究对不同方案下奥运公园湖水质的时间、空间变化过程予以模拟，分析评价奥运湖可能出现的富营养化状况，并对各个补水方案带来的富营养化风险和基本成因予以推断，为奥运湖的设计运行提供技术依据。结果表明，方案3的富营养化风险最小、水质保障程度最高。结合三种补水方案水质特点，推断磷是主要限制因子，所以控制磷的浓度是保证水质安全、降低富营养化风险的重要途径。     

黄山市新安江流域水环境质量评价与管理措施

新安江是我国江南跨省级行政区的一条重要河流，其水质和水量对下游浙江省的生态安全和资源支持具有重要作用。针对安徽省黄山市境内新安江流域内存在的主要水环境问题，采用尼梅罗水质指数和超标加权法对新安江流域水环境质量进行了评价和分析。结果表明，新安江流域水环境质量整体较好，达到Ⅱ、Ⅲ类标准，大部分河段均能满足地表水环境功能要求；下游河段水质略差，但符合地表水Ⅲ类标准。在此基础上，提出了新安江流域水环境管理措施。     

重庆市应用湖库水水源热泵系统条件分析

通过对重庆市气候条件、湖库水水资源状况以及湖库水水温和水质分析,结果显示:重庆地区采用传统空气源热泵系统已不适宜,而采用水源热泵系统具有较高的节能优势。丰富的湖库水水资源量以及重庆市建筑沿湖库水而建特点,为在重庆市开展湖库水水源热泵系统创造便利条件;湖库水水温和水质基本能满足地表水水源热泵系统的水源要求;湖库水藻类易爆发,因此发展湖库水水源热泵主要解决的水质问题是藻类的堵塞问题。     

四川升钟水库水质评价及污染负荷分析

选取高锰酸盐指数（CODMn）、五日生化需氧量（BOD5）、总氮（TN）、总磷（TP）4项监测指标，采用单因干评价法、综合污染指数法、内梅罗污染指数法、模糊综合评价法及水质标识指数法对升钟水库2004～2010年水污染特征进行分析与评价，结果表明：水质标识指数法比较适合升钟水库水体富营养化评价；单因子水质标识指数显示，水库主要污染物为总氮（TN）、总磷（TP），基本呈现富营养状态；2008年水质最差，2010年水质达到Ⅱ类标准；7年Iwq的平均值Ave（Iwq）=3．393，Ave（Iwq）未达到国家Ⅱ类水质标准。近7年综合水质标识指数（Iwq）在不同时点上具有高-低演化规律，总体趋向好转。通过计算2006年N、P污染负荷，TN、TP入库主要源于水产养殖，其贡献率分别为：55％、82％，升钟水库TN、TP是合理容量的1．97～2．32倍。应严格控制水库网箱肥水养殖。研究结果对指导升钟水库水污染防治与水资源管理具有重要的意义。     

济宁南四湖水质富营养化评价及防治对策研究

以2012年南四湖水质监测数据为依据,采用修正的卡森指数法（TSIM）对南四湖水质进行评价。结果表明,修正卡森指数的评价结果为TSIM=56．04,南四湖已达到富营养化的标准。根据评价结果,从工业废水、生活污水排放、底质、农业生产、渔业养殖的影响方面分析了水体富营养化的原因,从减少外源污染物、应用生物措施和发展健康水产养殖模式三个方面提出了南四湖水体富营养化的防治对策。     

RESERVOIR WATER QUALITY SAMPLING DESIGN1

ABSTRACT: The design of monitoring programs often serves as one of the major sources of error or uncertainty in water quality data. Properly designed programs should minimize uncertainty or at least provide a means by which variability can be partitioned into recognizable components. While the design of sampling programs has received recent attention, commonly employed strategies for limnological sampling of lakes may not be completely appropriate for many reservoirs. Based on NES data, reservoirs are generally larger, deeper, and morphologically more complex than natural lakes. Reservoirs also receive a majority of their inflow from a single tributary located a considerable distance from the point of outflow. The result is the establishment of marked physical, biological, and chemical gradients from headwater to dam. The existence of horizontal as well as vertical gradients, and their importance in water quality sampling design were the subject of intensive transect sampling efforts at DeGray Lake, a U.S. Army Corps of Engineers reservoir in southern Arkansas. Data collected were used to partition Variance, identify areas of similarity, and demonstrate how an equitable sampling program might be designed.     

GEOMETRIC VARIATIONS IN RESERVOIR WATER QUALITY1

ABSTRACT: In developing water quality models for lakes and reservoirs, the assumptions of one-dimensionality (i.e., water quality changes are significant only in one dimension – usually depth), as well as two-dimensionality (considering the length and depth of the water body), have been utilized to predict water quality. In both caws, the assumption of lateral homogeneity is made. A field study was undertaken to determine the change of water quality in the lateral dimension. The main study reservoir was Center Hill Lake in Middle Tennessee. Data were also obtained for Cherokee Lake in East Tennessee. Several water quality parameters (temperature, dissolved oxygen, pH, conductivity, and oxidation reduction potential) were analyzed over the length, breadth, and depth of these reservoirs from pre-stratification through post-stratification. The statistical and theoretical three-dimensional analysis showed the expected variation for each water quality parameter in each direction. The influence of the lateral dimension on water quality management and modeling was found to be negligible.     

A Gis‐Based Approach to Watershed Classification for Nebraska Reservoirs1

Abstract: The U.S. Environmental Protection Agency is charged with establishing standards and criteria for assessing lake water quality. It is, however, increasingly evident that a single set of national water quality standards that do not take into account regional hydrogeologic and ecological differences will not be viable as lakes clearly have different inherent capacities to meet such standards. We demonstrate a GIS‐based watershed classification strategy for identifying groups of Nebraska reservoirs that have similar potential capacity to attain a certain level of water quality standard. A preliminary cluster analysis of 78 reservoirs was performed to determine the potential number of Nebraska reservoir groups. Subsequently, a Classification Trees method was used to refine number of classes, describe the structure of reservoir watershed classes, and to develop a predictive model that relates watershed conditions to reservoir classes. Results suggest that Nebraska reservoirs can be represented by nine classes and that soil organic matter content in the watershed is the most important single variable for segregating the reservoirs. The cross‐validation prediction error rate of the Classification Tree model was 26.3%. Because all geospatial data used in this work are available nationally, the method could be adopted throughout the U.S. Hence, this GIS‐based watershed classification approach could provide water resources managers an effective decision‐support tool in managing reservoir water quality.     

用灰色关联度模型评价湖泊富营养化

应用灰色关联度模型对大理州主要的８ 个湖泊水库进行富营养化评价。结果表明,８ 个湖泊水库都处于中营养级、评价结果与实际情况较为吻合。文章还提出了富营养化防治对策,为湖泊保护提供了科学依据。     

A MULTICOMPONENT MODEL OF PHOSPHORUS DYNAMICS IN RESERVOIRS1

The models available for simulating phosphorus dynamics and trophic state in impoundments vary widely. The simpler empirically derived phosphorus models tend to be appropriate for long-term, steady or near steady state analyses. The more complex ecosystem models, because of computational expense and the importance of input parameter uncertainty, are impractical for very long-term simulation and most applicable for time-variable water quality simulations generally of short to intermediate time frames. An improved model for time variable, long-term simulation of trophic state in reservoirs with fluctuating inflow and outflow rates and volume is needed. Such a model is developed in this paper representing the phosphorus cycle in two-layer (i.e., epilimnion and hypolimnion) reservoirs. The model is designed to simulate seasonally varying reservoir water quality and eutrophication potential by using the phosphorus state variable as the water quality indicator. Long-term simulations with fluctuating volumes and variable influent and effluent flow rates are feasible and practical. The model utility is demonstrated through application to a pumped storage reservoir characteristic of these conditions.     

Chemical and Physical Controls on the Oxygen Regime of Ice‐Covered Arctic Lakes and Reservoirs1

Abstract: We examined the chemical, morphological, and anthropogenic controls on winter‐oxygen biogeochemistry in ice‐covered lakes and reservoirs on the North Slope of Alaska. We measured dissolved oxygen (DO), solute concentrations, water depth, and ice thickness at three natural thaw lakes and four reservoirs (flooded gravel mines) for two winters. In all seven study sites, DO concentration and pH decreased with depth, and temporally through the winter (November to April). DO concentration was four to six times greater in the deeper reservoirs (8‐13 mg/l) compared with shallow natural lakes (ca. 2 mg/l). Lakes and reservoirs with high dissolved organic carbon (DOC) concentration were susceptible to large decreases in oxygen over the winter. DO concentration differed markedly between years, but was not attributed to changes in water‐use or winter water‐chemistry. Alternatively, we suggest that dissolved oxygen concentration was lower during freeze‐up, possibly associated with higher lake‐productivity during the summer. Our results suggest that current water‐use practices on the North Slope of Alaska caused little to no change in DO concentration over the winter. In particular, considering the high pumping activity and shallow depth, lakes with low DOC concentration (≤6 mg/l) showed strong resilience to change in chemistry over the winter. We suggest that both lake and reservoir depth, and DOC concentration are key factors influencing oxygen consumption in ice‐covered arctic lakes and reservoirs.