成都府南河叶绿素a和氮、磷的分布特征与富营养化研究

通过对成都市府南河上中下游共21个断面叶绿素a和总溶解态氮(TDN)、总溶解态磷(TDP)含量的测定,绘制时空分布图,并应用SPSS 13.0统计软件分析了3个指标之间的相关性,初步评价了府南河的富营养化状况。结果表明,府南河叶绿素a含量不高,磷污染较为严重;相关性分析显示叶绿素a和TDP含量呈显著正相关关系,氮是河水富营养化的主要限制因子;按照叶绿素a的含量判定府南河基本属于贫营养化型,但按照氮、磷含量评价已达到富营养化水平。这对评价城市河流的富营养化状态及生态环境整治和恢复有着积极意义。     

岳阳南湖叶绿素a及其水质关系分析

通过对南湖水环境中叶绿素a的测定并同时分析其水质,结果表明,南湖水域叶绿素a呈现明显的时空变化特征:夏季>春季>秋季>冬季,麦子港>湖心。叶绿素a含量与环境因子有关,如水温、水质营养因子、BOD5、CODMn有关,南湖N、P满足藻类生长需要,春季总P对数值与夏季叶绿素a对数值成线性关系。南湖叶绿素a含量变化范围在1.75～3.62mgm3,说明南湖水体处于中富营养状态。     

西安市城市景观水体富营养化现状及成因分析

2014年12月—2015年6月连续监测西安市13个主要城市景观水体,并对其富营养化现状及成因作分析。监测结果显示,叶绿素a、总磷、总氮、透明度的测定值分别为1.13 mg/m~3~675 mg/m~3、0.012 mg/L~3.12 mg/L、0.271 mg/L~25.6 mg/L和0.17 m~1.77 m。通过对比补水水源和水质关系得知,以自来水为补水水源的水体营养物含量最低,天然地表水次之,再生水最高。用营养状态指数法评价水体的营养状态,约68%的景观水体呈现富营养状态,景观水体发生富营养化的5个主要成因依次为:营养物指标、部分理化指标、有机物指标、水体感官性状指标、微量元素指标。     

淀山湖富营养化驱动力初探

通过2015—2019年在淀山湖布设5个采样点,监测总氮、总磷等12项水质指标,运用综合营养状态指数法和潜在性富营养化评价法对该水域富营养化水平进行分析,采用主成分分析法初步确定影响该水域富营养化水平的主要驱动因子。结果表明：监测期间淀山湖水质因子时空分布差异显著。综合营养状态指数法评价结果表明,淀山湖富营养化在轻—中度富营养化水平,并且季节变化规律明显;潜在性富营养化法评价结果表明,监测期间淀山湖以磷限制潜在性富营养为主。驱动因子分析表明硝酸盐氮是该水域富营养化最主要的驱动因子。     

洋河水库蓝藻水华爆发预测影响因子研究

为了预测洋河水库富营养化变化趋势和蓝藻水华爆发的风险,对洋河水库水体进行采样,分析其环境质量.研究结果表明,近年来洋河水库叶绿素a含量处于高位,氮、磷含量不断上升,特别是总氮质量浓度在5 mg/L左右,主要以硝态氮的形式存在,富营养化程度不断加剧,具有大规模爆发蓝藻水华的风险.对洋河水库藻华爆发的环境条件进行分析,提出...     

乌鲁木齐地区主要湖泊富营养化现状

根据“七五”期间全国14个城市湖泊富营养化调查拟定和筛选出的总氮、总磷、生化耗氧量、透明度和叶绿素a的含量五个评价参数,用评分法对我区三个主要湖(库)富营养化现状进行评价.柴窝堡湖和红岩水库已达富营养水平,乌拉泊水库达中营养水平.     

嘉陵江南充段枯水期叶绿素a与营养盐的空间分布特征

在嘉陵江南充段及其主要入江支流布设18个采样点,测定总氮、总磷和叶绿素a等水质参数,探讨叶绿素a和氮磷有机物空间分布特征及其潜在影响因素,并运用修正的卡尔森营养状态指数（TSI）评价嘉陵江南充段及其主要入江支流采样点富营养化水平。结果表明：嘉陵江南充段氮磷元素及叶绿素a表现出南充市市区段浓度高;东河、西溪河、螺溪河、西河等支流受人类活动的影响大,氮磷及叶绿素a含量较高;嘉陵江南充段及其支流采样点TSI值在4995～6369之间变化,西河富营养化最严重（TSI为6369）,氮营养盐和溶解氧是影响嘉陵江南充段富营养化状态的主要因子。     

柴窝堡湖营养状态和限制因子分析及富营养化防治对策

应用柴窝堡湖2005—2009年的监测数据,对其水质进行评价,并用综合营养状态指数法分析了湖库总体富营养化水平,利用水质N／P比值和叶绿素a的相关分析,探讨了湖库富营养化的限制因子,并对改善水质提出了几点建议。     

2016-2020年珠海市金湾区集中式饮用水水源地环境质量变化特征

根据2016—2020年珠海市金湾区集中式饮用水水源地的监测数据,采用单因子评价法、综合污染指数法和综合营养状态指数法对金湾区黄绿背水库、爱国水库和木头冲水库环境质量变化趋势及特征进行分析评价。结果表明,2016年3个水库的综合污染指数最高,水质最差,超标因子为总磷,除了2016年黄绿背水库超出《地表水环境质量标准》(GB 3838—2002)Ⅲ类标准外,其他年份和其他水库水质均达相应水功能区标准; 2016—2020年3个水库水质总体呈好转趋势,但改善趋势不显著,影响水质的主要因子为溶解氧、总磷、化学需氧量和五日生化需氧量; 3个水库水质的综合营养状态指数在10～24范围内,均处于贫营养状态,未呈现富营养化。     

洞庭湖水体叶绿素a时空分布及与环境因子的相关性

2013年6月至2014年5月逐月对洞庭湖水体叶绿素a质量浓度和主要环境因子进行测定,分析洞庭湖水体叶绿素a质量浓度的时空分布特征,探讨洞庭湖水体叶绿素a质量浓度与环境因子的相关性。结果表明,洞庭湖水体叶绿素a质量浓度为0.11~8.62 mg/m~3,年均值为(1.89±1.23)mg/m~3,属贫营养;叶绿素a质量浓度随季节变化明显,总体呈现夏、秋季明显大于冬、春季的规律;在空间上,总体表现为西洞庭湖和东洞庭湖明显大于南洞庭湖。全湖叶绿素a质量浓度与水温、电导率、COD和TP呈极显著正相关,与DO、NH3-N、TN和TN/TP呈极显著负相关,与NO-3-N呈显著负相关,与p H和透明度无显著相关性。全湖TN/TP的年均值为28.5,磷可能是洞庭湖水体浮游植物生长的限制性营养盐。     

基于MODIS的西藏典型湖泊叶绿素a浓度反演

叶绿素a浓度是反映湖泊富营养化状态的一个重要参数。以MODIS L1B数据为基础，结合叶绿素a浓度实测数据，基于经验分析法实现了西藏典型湖泊叶绿素a浓度反演研究，并探索了西藏典型湖泊2019年春、夏、秋季叶绿素a浓度的时空变化特征。首先，利用叶绿素a浓度实测数据和MODIS L1B影像不同波段的反射率值进行组合试验，选择最佳波段组合建立模型；其次，分别选用2015年、2017年叶绿素a浓度实测值和反演值对模型进行对比验证；最后，利用叶绿素a浓度反演模型对西藏典型湖泊2019年春、夏、秋季叶绿素a浓度的时空变化特征进行分析。结果表明：在空间尺度上，西藏典型湖泊叶绿素a浓度整体上呈现出周围高、中部低的分布特征，且湖岸水体叶绿素a浓度变化较大；在季节尺度上，不同湖泊叶绿素a浓度的季节变化存在较大差异，格仁错和色林错的季节变化幅度较大，纳木错、塔若错和羊卓雍错的季节变化幅度较小。     

平顶山市大气PM10、PM2.5 污染调查

于2003年12月-2004年11月对平顶山市城区大气PM10、PM2.5污染进行了调查.结果表明,2004年大气PM10、PM2.5质量浓度分别为0.031 mg/m3～0.862 mg/m3、0.019 mg/m3～0.438 mg/m3;年均值分别为0.174 mg/m3、0.114 mg/m3,超标0.74倍、6.60倍.PM10、PM2.5污染的季节变化趋势是以冬季、春季高,秋季次之,夏季最低,细颗粒(PM2.5)约占PM10 65%;As、Pb、Cd、S、Zn、Cu、Mn、Ca等元素是颗粒物中主要污染元素,易在PM2.5中富集.平顶山市大气颗粒物污染的主要来源有煤炭燃烧、汽车尾气、城市基础建设和有色金属冶炼行业.     

Identification of microcystins contamination in surface water samples from the Three Gorges Reservoir, China

Physicochemical and biological parameters related to water quality and microcystins (MCs) contamination in aquatic environment of the Three Gorges Reservoir were investigated in August 2004 and January 2005. A solid-phase extraction method and an HPLC equipped with photodiode array were used for MC-LR detection. A quantitative analysis showed the total MC-LR concentrations of water samples ranged from non-detectable to 0.57 μg L?1 among the seven sampling sites. The highest MC-LR concentration was found at sampling site G (Wushan), which was followed by F (Kaixian), E (Wanzhou), D (Fuling), C (Cuntan), and A (Daxigou). The correlation analysis showed the MC-LR concentration was positively correlated with chlorophyll-a concentration. This result suggests that MC concentration in water can be indirectly estimated by analyzing the chlorophyll-a concentration. Overall, the results of this study suggest that more importance should be placed on monitoring of MC contamination and water quality in the Three Gorges Reservoir to ensure drinking water safety and reduce the potential exposure of people to these health hazards.     

Fuzzy Logic Model to Estimate Seasonal Pseudo Steady State Chlorophyll-A Concentrations in Reservoirs

A fuzzy logic model is developed to estimate pseudo steady state chlorophyll-a concentrations in a very large and deep dam reservoir, namely Keban Dam Reservoir, which is also highly spatial and temporal variable. The estimation power of the developed fuzzy logic model was tested by comparing its performance with that from the classical multiple regression model. The data include chlorophyll-a concentrations in Keban lake as a response variable, as well as several water quality variables such as PO₄ phosphorus, NO₃ nitrogen, alkalinity, suspended solids concentration, pH, water temperature, electrical conductivity, dissolved oxygen concentration and Secchi depth as independent environmental variables. Because of the complex nature of the studied water body, as well as non-significant functional relationships among the water quality variables to the chlorophyll-a concentration, an initial analysis is conducted to select the most important variables that can be used in estimating the chlorophyll-a concentrations within the studied water body. Following the outcomes from this initial analysis, the fuzzy logic model is developed to estimate the chlorophyll-a concentrations and the advantages of this new model is demonstrated in model fitting over the traditional multiple regression method.     

Water quality trends in Polyphytos reservoir, Aliakmon River, Greece

A water quality monitoring program was undertaken from June 2004 to May 2005, on a monthly basis, in Polyphytos Reservoir of Aliakmon River. Depth, water temperature, dissolved oxygen, conductivity, pH and transparency (Secchi disk) were measured in situ, while collected water samples were analyzed in the laboratory for the determination of BOD, COD, total phosphorus (TP), ortho-phosphate (OP), chlorophyll-a (Chl-a), ammonium, nitrite and nitrate, total Kappajeldahl nitrogen (TKN) and heavy metals (Fe, Mn, Cu, Cr, Pb, Ni and Cd). Measured concentrations were compared to those from two previous studies conducted in July 1987 to June 1988 and January 1991 to February 1993. The following conclusions are drawn: the effect of the watershed on the lake environment, mostly through Aliakmon River, is significant, and it accelerates the eutrophication of the lake. The anoxic zones, which were defined in the lake, reinforce this conclusion. Nitrate, nitrite and ammonia were measured at lower concentrations compared to previous studies, while total phosphorus and chlorophyll-a were found at increased concentrations. The current trophic state of Polyphytos reservoir is eutrophic, based on the OECD method and Carlson's Trophic State Indices (TSI). The concentration of BOD and COD ranged at low levels. Furthermore, the mean concentrations of metals Fe, Mn, Cu, Cr, Pb, and Cd were below the potable water standards set by WHO and EU. During most part of the study period the ratio N/P for Polyphytos reservoir was higher than 7.2:1, and therefore, phosphorus is the limiting nutrient for algal growth.     

洋河水库水质主成分分析

自20世纪80年代以来,洋河水库每年夏季都爆发“水华”现象,水质不断恶化。为研究水库水体水质年变化情况,于2005年对水库5个采样点的叶绿素a(Chl-a)、总磷(TP)等12项水化学指标进行为期1年的监测。采用基于因子分析的主成分分析方法,将洋河水库水质参数概括为5个主要成分,并分析各个主成分的含义以及其月均值随时间的变化规律。最后结合空间数据,分析了5个主成分年均值的空间分布特征和意义。结果表明,南库区的水质要明显好于北库区。     

基于环境一号卫星CCD数据的巢湖叶绿素a的动态监测

环境一号卫星CCD数据具有获取周期短、空间分辨率高等特点,能够及时准确地监测叶绿素a的浓度变化和分布,其在内陆湖泊水质遥感监测方面具有良好的应用前景。文章通过星地同步地面实验,建立起巢湖水体的叶绿素a浓度遥感反演模型,利用2009年4月至2010年3月的环境一号卫星CCD数据,分季节对巢湖叶绿素a行动态监测和分析。结果表明,巢湖叶绿素a具有明显的时空分布特征,夏季叶绿素a浓度最高,冬季最低,秋季高于春季;西半湖湖区叶绿素a浓度一般高于东半湖湖区,西北部和中部湖区空间变化比较大,东部湖区变化较小。     

Spatio-temporal variations of organic carbon and chlorophyll degradation products in the surficial sediments of Izmir Bay (Aegean Sea/Turkey)

The aim of this research is to determine the effects of Izmir Big Channel Waste Water Treatment Project on the sediment quality of Izmir Bay. Wastewater treatment improves the water quality. However, sediment does not respond to this treatment as fast as water column. Monitoring of bottom water and sediment quality is necessary for identification of the recovery of the whole ecosystem. For this purpose, bottom water and sediment samples were collected from three stations which are located in the middle and inner parts of the Izmir Bay on a monthly basis between January 2003 and December 2003. Values measured at stations ranged between; 0.54-12.82 microg/L for chlorophyll-a, 0.09-9.32 microg/L for phaeopigment, 0.05-1.91 mg/L for particulate organic carbon in bottom waters, 11.88-100.29 microg/g for chlorophyll degradation products and 1.12-5.39% for organic carbon in sediment samples. In conclusion, it was found that grazing activity explained carbon variations in sediment at station 2, but at station 1 and station 3 carbon variations in sediment were not related to autochthonous biological processes.     

常州城区秋冬季黑炭气溶胶的浓度变化特征

根据常州市2012年9月-2013年1月的黑炭气溶胶（Black Carbon，以下简称BC）在线监测数据及常规气象资料，分析了BC在秋冬季不同时间段的变化特征及气象要素对BC的影响。结果表明，常州秋冬季BC平均值为5．17（1．48～17．02）μg／m^3，主要集中在1．00斗μg／m^3～7．50μg／m^3，冬季较高于秋季，小时均值最大值达33．87μg／m^3；BC本底值为3．50μg／m^3；1月份BC日均值变化幅度最大，发生高污染的频率最高。Bc的日变化具有明显的双峰结构，一天中最大浓度多出现在上午06：00-09：00，特殊天气条件下，BC小时值存在不同的分布情况；BC在不同风向的输送条件下有明显的不同，偏东北方向过来的气团易造成BC高污染。