升钟水库富营养状况及生物群落调查评价

根据2008～2009年对升钟水库的逐月监测结果,采用综合营养状态指数法,对湖泊富营养化现状进行了评价,并对水库的浮游植物群落种类和密度进行了定性定量分析。结果表明,水库目前处于中营养状态,但在初夏和秋季由于温度和降水等气象条件的影响,可达到轻度富营养,其程度随季节变化明显：初夏和初秋形成高峰,冬、春季为低谷。从生物群落分析,浮游植物种类及密度在不同季节差别较大,初春及夏季的较其他季节多、冬季最低,优势种为蓝绿藻和硅藻。     

陡河水库浮游植物群落结构变化与营养状态分析

为了判断陡河水体的营养状态,为水体修复提供理论基础,采用浮游生物定量方法对陡河水库水体中浮游植物群种类、数量进行分析,研究不同环境条件下水体中浮游植物的优势种群及变化规律。结果表明:浮游植物共有7个门,45种以上,是绿藻+硅藻型的群落结构类型,并有比较稳定的隐藻、金藻和蓝藻种类,浮游植物的细胞密度在100万个/L以上。综合来看,陡河水库水体处于轻度富营养状态。     

龙泉湖浮游植物群落分布及季节变化

2008年5月~2009年4月对龙泉湖的浮游植物群落结构进行了研究。结果表明:龙泉湖浮游植物共计8门,71属,225种(含变种和变型),种群结构主要以蓝藻、绿藻和硅藻为主。浮游植物种类组成季节变化显著,冬季、初春以硅藻为主,夏秋季以蓝藻为优势,并将优势从5月持续至10月。龙泉湖浮游植物数量变化在5.26×105个/L~636.77×105个/L之间,标志龙泉湖的水体营养程度较高。     

尕海湖卤虫的饵料生物及其食性的调查

尕海湖是青海省盐湖中卤虫蕴藏量最大的湖泊。作者于1993年4月至1994年8月对湖泊的饵料生物进行调查,共发现浮游植物28种,浮游动物2种,底栖动物4种。浮游植物年平均生物量为2.45mg/L,饵料生物的优势种为硅藻和绿藻。作者分析了两湖的饵料生物和卤虫的食性,提出了湖泊卤虫饵料基础与卤虫资源的关系。     

剑潭大坝对东江惠州河段浮游植物的影响研究

根据2006年4月、8月和12月月初的采样调查,对剑潭大坝蓄水前后浮游植物种类、组成在时间和空间上的变化进行研究,并探讨富营养化要素对浮游植物结构和数量的影响。结果表明,剑潭大坝下闸蓄水后：（1）浮游植物的数量和结构发生了一定的变化。3年期间,总物种数呈现下降趋势;剑潭大坝处采样点浮游植物群落结构变化明显;（2）季节性变化明显,丰水期以蓝藻为优势,枯水期以蓝藻绿藻共同占据优势;（3）在剑潭大坝正常运行一年后,剑潭大坝处叶绿素a显著增加,浮游植物现存量出现一个峰值,这反应了偏高的营养盐含量为浮游植物的生长创造了有利条件。最后作者针对剑潭大坝蓄水后的负面影响,提出了有关防治措施与建议。     

滆湖藻密度的时空分布及驱动因子分析

在2年内分季度调查滆湖浮游植物种群和水环境因子,分析藻密度的空间分布状况以及按时间序列的藻密度变化和浮游植物优势种群变化,分别采用"多元线性逐步回归法"和"偏相关系数法"进行藻密度驱动因子识别。结果表明,滆湖藻密度空间分布趋势为由北向南逐渐升高,年际间季节差异极显著。浮游植物的演替规律为冬、春季节以绿藻和硅藻为主,夏、秋季节蓝藻占绝对优势。通过比较2种统计方法的计算结果,确定全湖及中、南部湖区藻密度的驱动因子是温度和高锰酸盐指数,北部湖区藻密度的驱动因子是温度和硝酸盐氮,所有驱动因子对滆湖藻密度的影响均为正效应。在富营养化严重的滆湖,N,P营养盐已经不再是浮游植物生长的主要驱动因子,从统计方法的角度解释了部分环境因子没有入选为驱动因子的原因,并推断了其他可能的驱动因子。     

TVOC排放超标预警自动采样留样系统架构及前景研究

为建立健全监测预警监控体系,强化自动监测数据的执法应用,参照国家及行业标准研制挥发性有机物（TVOC）超标预警自动采样留样系统。通过对比分析现有的监测预警设备,明确了TVOC排放超标预警自动采样留样系统的设计目标和设计架构,并将产品化的系统应用于监测布点和预警,进而为环境监测非现场执法提供更加准确、科学的依据。     

建立环境预警监测体系的探讨

要实现环境保护的"三个转变",环境预警监测处在最前沿.如何建立环境预警监测体系,充分发挥各组成部分的功能,成为目前环境监测的中心工作.本文从环境预警监测工作的作用和重要性入手,分析了体系的组成部分:人才、技术能力和监测质量.     

长输油气管道保护中的三色预警机制探讨

文章介绍了一种广泛应用于防范长输油气管道第三方施工破坏的预警机制——三色预警机制,分别用红、黄和蓝三种颜色预警管道周边的第三方施工,并按照不同的预警级别有针对性的采取相应管理措施,以确保管道安全,此外,还简要分析了三色预警机制基于"安全流变-突变"理论的科学机理。     

不境安全预警和应急监测体系建设探讨

本文介绍了环境应急监测的性质和特点,阐述了环境安全预警和应急监测网络体系的建设情况,从制度、人员、仪器装备建设方面来加强环境安全预警和应急监测能力建设,并做好应急监测的日常准备工作,提高应急监测能力,构建良好的应急监测体系。     

基于MODIS数据的太湖蓝藻水华时空分布规律研究

利用EOS/MODIS遥感影像数据,采用蓝藻水华分级评价方法和蓝藻水华发生频率分析方法,对2010年～2013年不同级别太湖蓝藻水华时空分布规律进行分析和研究,以期为太湖蓝藻水华预警、监控、治理工作提供技术支持.结果表明：（1） 2010年～2013年,全太湖共发生蓝藻水华354次,其中小型水华发生次数最多,蓝藻水华级别越高,发生次数越少.（2）年际变化上,蓝藻水华发生次数总体趋于平稳,蓝藻水华发生呈现“小型多发、中大型少发、重大型偶发”趋势,蓝藻水华发生规模呈显著缩小趋势.（3）月际变化上,蓝藻水华主要发生在8 ～10月,8月和9月尤其是太湖蓝藻水华的高发月份.发生规模上,4～6月蓝藻水华发生规模较小,7月开始规模逐步扩大,到9月达到顶峰,10月规模有所缩小.（4）空间变化上,太湖西部沿岸是太湖蓝藻水华首次爆发最频繁的水域.从空间分布频率来看,太湖西部沿岸区尤其宜兴沿岸是蓝藻水华爆发频率最高的水域.     

PHYSICOCHEMICAL FACTORS AND THEIR EFFECTS ON ALGAL GROWTH IN A NEW SOUTHERN CALIFORNIA RESERVOIR1

ABSTRACT: Some physical and chemical characteristics of Lake Perris, a new southern California reservoir, were investigated with regard to their influence on phytoplankton biomass and community structure. The concentration of three major nutrients – nitrogen, phosphorus, and iron – was approximately equivalent to the demand ratio of fresh water plants. Large increases in iron and phosphorus concentrations in late summer due to releases from sediments, however, tended to shift the balance toward a nitrogen-limited situation. Nitrogen limitation favored nitrogen-fixing blue-green algae, and after a decline of competing algae during the summer, the blue-green population bloomed in September. Series of measurements taken over one-day periods during summer stratification showed that some iron, phosphorus, and manganese from the hypolimnion could move upward, corresponding to diel shifts in the thermocline depth. Vertical transport of nutrients could thus occur long before complete lake mixing and could support summer/fall algal blooms.     

湖泊蓝藻水华数字化预警系统构建探讨

构造湖泊蓝藻水华数字化预警系统是我国湖泊水环境管理的一个重要方向。本文探讨了构建湖泊蓝藻水华数字化预警系统的若干技术问题，包括：（1）数字化预警数学模式。提出需重视流域尺度的氮磷营养物和沉积动态输入以及营养物、沉积物对水生态结构动力过程的影响，建立非点源模型和湖泊生态结构动力学模型相耦合的预警数学模型模式；在此基础上提出了各种数学模型的可借鉴模式。（2）湖泊蓝藻水华预警监测技术。总结了常规水质监测的数据筛选方法，探讨了遥感技术和实时传输监测技术在水质监测中的应用模式，提出了实时监测和遥感监测需解决的技术难题和实现方法。（3）湖泊蓝藻数字化预警系统的设计。提出了数学模型系统、水质监控系统的网络化集成设计模式，提出了基于网络化地理信息系统的计算机应用软件实现模式。     

PREDICTIVE MODELS FOR THE BIOMASS OF BLUE-GREEN ALGAE IN LAKES1

In lakes which experience water quality problems due to the nuisance growth of blue-green algae, summer concentrations of chlorophyll a may not always be a meaningful measure of water quality for making management decisions. Models for the prediction of summer mean blue-green algal biomass were thus developed from data collected from five systems located in North America and Sweden. It is suggested that the model of choice is log BG =?0.142 + 0.596 log TP – 0.963 log Z, where BG is the biomass of blue-green algae (g m^?3), TP is the concentration of total phosphorus (mg m^?3), and Z is the mean depth of the lake (m). When coupled to current loading models, this model can potentially be used to assess the impacts of phosphorus loading reductions on threshold odor in water supplies.     

外来赤潮生物入侵现状及对赤潮灾害的影响研究

外来赤潮生物入侵加剧了我国近海海域的赤潮灾害。根据2004—2013年的数据统计,分别从赤潮生物优势种、频率、海域分布和赤潮面积4个方面分析了外来赤潮生物对我国近海赤潮灾害的影响,并着重从外来赤潮生物入侵早期预警系统建设、压舱水排放管理和赤潮灾害防治技术3个方面提出应对措施。     

USING HEAT CAPACITY MAPPING MISSION (HCMM) DATA TO ASSESS LAKE WATER QUALITY1

ABSTRACT A water quality investigation on Utah Lake was conducted during the same time period that the Heat Capacity Mapping Mission (HCMM) satellite was collecting thermal infrared and reflectivity data. Relationships were established and evaluated among HCMM data and lake water quality parameters. Although remotely sensed reflective data have been previously utilized, this study was unique in that thermal emitted data were also correlated to algae concentrations and other indicators. Standard statistical evaluations were made along with utilization of color graphics techniques to identify and plot relationships. The emitted thermal energy was found to have high positive correlations with net algal concentrations and with the predominant species, Aphanizomenon flos-aquae, a blue-green alga. No continuous correlation was found for a less abundant red pigment phytoplankton, Ceratium hirundinella. Similar trends, though for negative correlations, were shown for reflectivity data and algal concentrations throughout the spring and summer. Coincidence of areas of warmer emitted energy and darker relfected energy on colorgraphics displays clearly indicate lake areas of high algal concentrations. Night thermal data displayed a strong negative correlation with algal concentration, opposite to day thermal data. Color graphics of warmer day emitted energy and cooler night emitted energy further verify areas of high algal concentrations.     

Temperature, Salinity, and Fluorescence in Southern North Sea: High-Resolution Data Sampled from a Ferry

/ In 1991 and 1992, temperature, salinity, and fluorescence were measured by automatic continuous registration using instrumentation on a ferry crossing the southern North Sea daily along a transect between Zeebrugge, Belgium, and Hull, United Kingdom. The temperature ranged between 4 and 21 degrees C off the Belgian coast and between 6 and 17 degrees C in the middle of the transect. Salinity varied between 34 and 35.5 PSU in the offshore part of the transect, but showed much larger variation along the Belgian and UK estuarine coasts. Fluorescence, which was used as a measure of phytoplankton biomass, was highest at the continental coast and lowest near the English coast. Spring blooms of phytoplankton were found along the continental coast and in the channel-influenced water; in 1991 the blooms were denser than in 1992. Some summer blooms were also recorded. Water masses could be distinguished on the basis of salinity and fluorescence patterns. The general patterns in the data are compared with the literature and discussed in relation to river discharge, light penetration, and wind speed and direction. Finally, the value of automatic and frequent measurements of fluorescence for monitoring phytoplankton is compared with less frequent observations at selected stations. It is concluded that accurate information about phytoplankton biomass can only be established from the high-frequency data. KEY WORDS: Monitoring; Sampling; North Sea; Ferry; Fluorescence; Salinity; Temperature     

Application of digital technologies about water network in steel industry

To improve the efficiency of water use and reuse, a digitalized water network system was implemented in a steel industrial complex. The system consisted of four parts: online instrument and sensing devices, programmable logic controller, data communication network and control center based on expert knowledge. The system achieved real-time monitoring, diagnosis, and early warning of cooling water system using data collected inline, and enabled data connectivity and transmission of self-developed software applications on personal computer. This research used a steel enterprise as a case study. After the analysis of its cooling water system and water-saving potential using water balance test, a digitalized water network was evaluated and implemented, and we believe this network can be suitable for steel industry in general.