南水北调东线工程东平湖水质受水产养殖业影响分析

按照国家南水北调水质的要求,以东平湖实际情况为依据,分析水产养殖业对东平湖水质影响。     

南水北调东平湖水质变化趋势分析研究

采用了季节性肯达尔法水质趋势分析方法,分析了1984～2000年东平湖水质的变化情况,目前东平湖水质一般为Ⅴ类、Ⅵ类,个别年份为超Ⅴ类,氨氮平均值历年变化不大,一般均符合Ⅰ Ⅲ类水质,挥发酚和砷含量甚小,各年均符合Ⅰ类水。     

东平湖及上游河段水质分析预测

运用水质数学模型,对东平湖及上游河段各控制断面的水质进行了预测和验证,说明了该预测方案的科学性和可行性。并分析了预测中误差存在的原因,提出了改进措施。     

东平湖不同粒径底泥沉积物中汞的形态分布

对东平湖底泥沉积物中重金属汞的总量和形态及沉积物形貌进行了研究.从粒径分布与沿程分布分析了汞元素的形态分布特征.结果表明,东平湖底泥沉积物的主要粒径<63μm,且沉积物颗粒粒径越小,其表面的吸附物越多.不同粒级沉积物中汞的存在均以可氧化提取态形式为主,汞的形态分布与沉积物粒径的相关性可能受到原生矿物及因粒度效应产生吸附差异的综合影响.汞形态的沿程分布特征表明,湖南采样点受污染严重,潜在危害较大.     

调水后东平湖浮游植物群落结构及水质生物评价

东平湖是南水北调东线工程的重要调蓄湖泊,在防洪、灌溉、休闲旅游、水产养殖及水资源供应等方面发挥着至关重要的作用.为了解南水北调东线调水后的东平湖浮游植物群落结构及水体健康状态,于2016年4月(春季)、7月(夏季)、10月(秋季)及2017年1月(冬季)对东平湖不同空间区域(根据调水路线划分为进水区、湖中区和出水区)的...     

东平湖菹草大面积衰亡的危害及防治对策

由于东平湖近年来污染加剧，使湖水富营养化加重，出现了菹草大量生长，6月以后，又出现菹草大面积衰亡、腐烂等现象，不但造成生态环境破坏，还发生鱼类大量死亡事件．针对上述情况，作者分析了菹草生长的原因并提出了治理菹草污染的措施．     

东平湖浮游动物对南水北调东线运行的时空响应

东平湖是南水北调东线工程输水线路下游的最后一个调蓄湖泊.为探究调水后的东平湖浮游动物时空响应,于2016—2017年对东平湖浮游动物进行了涵盖春(4月)、夏(7月)、秋(10月)、冬(1月)的4次调查,共检出浮游动物3类72种(属),其中,轮虫51种(70.83％)、枝角类11种(15.28％)、桡足类10种(13.8...     

基于Landsat系列卫星分析1985—2015年东平湖叶绿素a浓度变化趋势

基于Landsat-5 TM数据和地面同步水质监测数据发现，近红外波段与红色波段比值与叶绿素a实测浓度存在较高相关性，并以此建立了提取水体表层叶绿素a浓度的遥感信息模型。经验证，该模型用于叶绿素a浓度反演的精度良好，平均相对误差为14.5%。将该模型应用于Landsat卫星系列数据，提取了东平湖1985-2015年每年度丰水期叶绿素a浓度信息，得到共31幅东平湖叶绿素a浓度分布图，并对其进行了时空分析。结果表明：1985-2015年，东平湖叶绿素a平均浓度范围为32.4~81.4 μg/L，空间分布上一般表现为湖周边浅水区高于湖中心深水区，且空间差异变化明显；时间序列上，东平湖叶绿素a浓度表现出一定的波动性，在1987、1988、1992年出现较高值，总体看来，在95%置信水平上秩相关系数为-0.592，浓度呈下降趋势。     

公布空气质量报告 市民更加关注环境

南京市环境监测中心站在全国率先开展空气质量周报,之后又开展了空气质量日报,向市民公布空气质量状况,使环境监测成果走向社会,服务于百姓,增强了全社会的环境保护意识,提高了市民关心环境,保护环境的自觉性,并推动了空气污染防治工作,促进了环境监测工作,体现了     

水华蓝藻复苏的研究进展与水华预测

综合分析了当前国内外水华复苏的研究进展,确定了水华蓝藻复苏的定义,介绍了研究蓝藻复苏的方法,以及蓝藻复苏对水体中蓝藻种群生物量以及当年蓝藻水华形成的贡献,探索了驱动水华蓝藻复苏的环境因子。结合太湖的研究成果,阐述了研究水华蓝藻复苏在进行水华预测中的重要作用,并展望了未来研究的重点。     

Seasonal dynamics of phytoplankton and its relationship with the environmental factors in Dongping Lake, China

Dongping Lake is the final adjusting and storing lake in the east route of the South-to-North Water Diversion Project in China, and there has been serious concern regarding the water quality. Understanding the process of phytoplankton variation can be particularly useful in water quality improvement and management decisions. In this study, the phytoplankton taxonomic composition, abundance, temporal variations, spatial distribution, and diversity were studied based on a monthly sampling campaign from three sampling stations between May 2010 and May 2011. A total of 132 species (8 phyla, 72 genera), including 64 species of Chlorophyta, 26 species of Bacillariophyta, 21 species of Cyanophyta, 12 species of Euglenophyta, 3 species of Cryptophyta, 2 species of Xanthophyta, 1 species of Pyrrophyta, and 3 species of Chrysophyta were identified. Average phytoplankton diversity index and evenness values were 3.83 and 0.77, respectively, revealing a high biodiversity of phytoplankton community. The phytoplankton abundance averaged 5.11?×?10⁶ cells/L, with Bacillariophyta dominant in winter and spring, but Cyanophyta in summer and autumn. There were 14 predominant species including Pseudanabaena limnetica, Chlamydomonas simplex, Cyclotella stelligera, and Chroomonas acuta. Phytoplankton community structure and water quality variables changed substantially over the survey period; redundancy analysis, Pearson correlations, and regression analysis as an integrated approach were applied to analyze the relationships among them. Total phosphorus and ammonium played governing roles in the phytoplankton dynamics of Dongping Lake during all periods investigated.     

Assessment of water quality of Rawal Lake by long-time monitoring

Water quality of rivers, natural lakes, and reservoirs in developing countries is being degraded because of the contaminated inflows. There is a serious need for appropriate water quality monitoring for future planning and management of clean water resources. Quality of water in Rawal Lake Pakistan has been investigated in this paper. Flows from the upstream of Rawal Lake and its surrounding villages are highly polluted. Lake water quality parameters like pH, turbidity, alkalinity, calcium, nitrite, sulfate, biological oxygen dissolved, dissolved oxygen, chloride, total dissolved solids (TDS), and coliforms were investigated. Samples of water from different locations of Korang River were collected and tested. Most of the data was collected by field sampling and field visits. However, long-term information was taken from different departments. Statistical parameters (standard deviation, maximum, minimum, mean, mode, kurtosis, skew, and Euclidean distance) of variables were determined. A distinct parameter based on the difference of the maximum value the variable and maximum allowable value of that variable defined by World Health Organization was used for analysis. Grouping and clustering of elements was made on the basis of this parameter. Trend of increasing or decreasing of values of variables over a long time was also taken into account for grouping the variables. It was concluded that the concentration of seven contaminants was higher as compared to the permissible limits under environmental standards. These variables need immediate attention. The environmentally bad conditions of Rawal Lake can only be rectified by appropriate lake environmental supervision, watershed management, and implementation of environmental legislation.     

云龙湖水质调查与评价

对云龙湖水质进行了调查与评价.在云龙湖东湖、西湖区各设置3个采样点,监测水体中TN、TP、Imn、NH3-N、DO和SD指标;分别使用模糊识别法和湖泊综合营养指数对水体进行水质评价与富营养化评价,结果表明,云龙湖水质级别为III类,其中TN、TP超标明显,水体呈现中度富营养化;不同功能区水质差异明显,东湖区水质优于西湖...     

Water quality assessment of Lake Pandu Bodhan, Andhra Pradesh State, India

A systematic investigation of variations in some nutrient levels at Pandu Lake from August 2002 to July 2004 was carried out. The untreated domestic wastes from various parts of Bodhan town are directly discharged into Pandu Lake leading to gross pollution. Therefore present investigation was under taken to assess the magnitude of sewage pollution by monitoring key water quality parameters dissolved oxygen, biological oxygen demand, alkalinity, calcium, nitrates and phosphates etc. Monthly water samples were collected from three different sampling stations. Low Dissolved oxygen and high biological oxygen demand, elevated Nitrates and Phosphates levels were found, which gives the information about conversion of this water body from oligotrophic to eutrophic nature. Phosphates were found to be in the range of 0.9 to 4.0 mg/L. Nitrates were found to be higher in Pandu Lake and their number is more in summer, and suitable explanation was given. Nitrates were found to be in range between 24.8mg/L to 71.2mg/L. Data on various chemical characteristics vary at different sites in different months in Pandu Lake. Some of the characteristics like Dissolved Oxygen, Biological Oxygen Demand, Nitrates, Phosphates and nutrient loading are contributing to eutrophication process in this lake and the lake seems to be eutrophic through out the year.     

Assessing the value of information for water quality management: a watershed perspective from China

To tackle China’s pervasive water pollution, tremendous efforts are needed to achieve more and better information. However, resources for information collection (e.g., water quality monitoring, field experiments, etc.) are very limited for large watersheds with significant nonpoint source pollution. Thus, it is crucial to identify the priority of information acquisition. Based on the theory of value of information (VOI), a stochastic optimization approach was developed in this study to evaluate the importance of information. The approach was applied to several key polluted water bodies in China (e.g., Lake Taihu, Lake Chaohu, and Lake Dianchi). The major findings include: (1) because of the severe pollution and large uncertainty, the VOI for the targeted water bodies is substantial; (2) when the uncertainty is significant, a stricter regulation would result in a higher VOI, and therefore provide more incentives for data collection; (3) due to the interaction among different information sources, collecting multiple types of information simultaneously could be more valuable than collecting one after another; and (4) the importance of a specific type of information could vary significantly across watersheds. The proposed approach can be readily extended to more complex models and more sophisticated watershed cases. It could effectively support watershed management in China, as well as in other countries.     

徐州市地表水体底泥重金属污染特征研究

文章对徐州市地表水体底泥重金属的污染特征进行了研究。对流经徐州市的四条主要河流和云龙湖的55个底泥采样点的重金属含量进行了测试,并采用单因子污染指数法进行了评价。结果表明,徐州市地表水体除云龙湖之外均不同程度地受到了重金属元素的污染。荆马河污染最为严重,其次是奎河、故黄河、京杭大运河。云龙湖的第五个采样点也受到了Hg的污染。污染元素的种类及污染程度与徐州市的产业结构密切相关。     

Spatial distribution and multiple sources of heavy metals in the water of Chaohu Lake,Anhui, China

In this study, a survey for the spatial distribution of heavy metals in Chaohu Lake of China was conducted. Sixty-two surface water samples were collected from entire lake including three of its main river entrances. This is the first systematic report concerning the content, distribution, and origin of heavy metals (Cu, Cr, Cd, Hg, Zn, and Ni) in the Chaohu Lake water. The results showed that heavy metals (Cu, Cr, Zn, and Ni) concentrations in the estuary of Nanfei River were relatively higher than those in the other areas, while content of Hg is higher in the southeast lake than northwest lake. Moreover, Cd has locally concentration in the surface water from the entire Chaohu Lake. The heavy metal average concentrations, except Hg, were lower than the cutoff values for the first-grade water quality (China Environment Quality Standard) which was set as the highest standard to protect the social nature reserves. The Hg content is between the grades three and four water quality, and other heavy metals contents are higher than background values. The aquatic environment of Chaohu Lake has apparently been contaminated. Both the cluster analysis (CA) and correlation analysis provide information about the origin of heavy metals in the Lake. Our findings indicated that agricultural activities and adjacent plants chimneys may contribute the most to Cd and Hg contamination of Chaohu Lake, respectively.