两株溶藻细菌的分离鉴定及其溶藻特性

从富营养化池塘中筛选分离出两株溶藻细菌L7和L18,通过生理生化实验及16SrDNA测序进行鉴定,对其单一以及混合菌液去除铜绿微囊藻(Microcystis aeruginosa)、水华鱼腥藻(Anabaena flos-aquae)的效果进行研究,并考查其溶藻方式。结果表明:菌液的滤液有溶藻效果,溶藻细菌具有间接溶藻特性;细菌需要一定的初始浓度才能有明显的溶藻效果,初始浓度越高,溶藻效果越好;溶藻效果大致趋势为混合菌液>L18>L7;不同生长时期溶藻菌,其滤液的溶藻效果差异很大,衰减期的滤液溶藻效果好于对数生长期和稳定期的;滤液投加体积分数与溶藻效果成正相关;细菌鉴定结果表明,L7为蜡状芽孢杆菌(Bacillus cereus),L18为短小芽孢杆菌(Bacilluspumilus)。     

二龙山水库水体变色原因初探

在对2005年7月至2006年5月二龙山水库相关水质指标进行监测分析的基础上,评价了水库的总体水质,鉴定和检测了水库的藻类和藻毒素,探讨了水库水体变色的原因。研究结果表明,二龙山水库总体水质为V类和劣V类,为中度污染和重度污染,主要污染物为总氮和总磷,已呈现富营养化状态,可能诱发水库水华的发生。水体的富营养化和铜绿微囊藻等藻类的大量繁殖是水库水体变色的主要原因。     

丰水期鄱阳湖氮磷含量变化及来源分析

通过系统测定丰水期鄱阳湖湖水、主要支流水、长江水及部分农田水、地下水及城市污水的氮磷含量,对其氮磷含量变化及来源进行了分析,结果表明,鄱阳湖水体中主要的氮素形式是硝酸盐氮（090 mg/L）,赣江是其主要贡献者。鄱阳湖五大支流氮磷含量存在着较大的差异,赣江NO-3 N含量明显高于鄱阳湖其它主干流,而NH+4 N和TN含量以饶河的最高,TP以信江的最高。农田水、城市废水以及地下水含有较高的氮磷含量,是鄱阳湖及其五大支流氮磷的主要来源。农田水TN和TP含量最高,分别为1347、2863 mg/L。高含量的NO-3 N（735 mg/L）和NH+4 N（548 mg/L）分别出现在地下水和城市污水中。鄱阳湖水体氮负荷较大,N/P比值远大于7〖DK〗∶1。受滞留区及赣江和修水补给的影响,鄱阳湖主河道氮含量变化从上游至下游呈总体上升趋势。鄱阳湖湖体氮含量以下游最高,滞留区次之,上游主河道最低,TP含量呈相反的趋势变化。底层沉积有机物的降解和扰动导致鄱阳湖水体底层NO-3 N、NH+4 N、TN、TP的含量高于表层。     

武汉湖泊富营养化遥感调查与评价

利用武汉东湖各子湖多年可靠的地面监测资料和1999年9月Landsat-7的TM各波段的卫星遥感数据,建立了各子湖的营养状态指数与TMb5图像上的灰度值之间的线性关系模型,并运用该模型对武汉各湖泊进行富营养化评价。同时基于地面监测资料,用日本学者相崎守弘提出的修正富营养化指数法对武汉主要湖泊的富营养化程度进行评价。两种方法评价结果都显示,武汉大多数湖泊呈富营养化状态,一些湖泊已接近甚至达到极富营养化。在用两种方法同时评价的十个湖泊中,有四个湖泊的评价结果完全一致,其余的六个湖泊富营养化程度只相差一个级别。两种方法评价结果存在差异,可能有以下三个原因;（1）遥感方法反映了是图像所在时段的某一个区域上的平均值,营养化指数法反映的是若干个采样站的年平均值;（2）TM图像的获取时间比地面监测的时间晚;（3）遥感影像可能受到云、泥沙等悬浮物、高等水生植物以及湖泊水深等的影响。遥感评价结果与地面监测结果基本一致,利用遥感进行湖泊水体富营养化监测价是可行的,有效的,利用该方法可进行大范围的湖泊富营养化调查评价。     

仙女湖富营养化特征与水环境容量核算

以典型的亚热带大型水库——江西省仙女湖为例,于2011~2013年季节性监测了仙女湖水体理化指标。采用综合营养状态指数法对其富营养化状态进行了评价,并采用沃伦威德尔模型(Vollenweider)和狄龙模型(Dillon)计算了COD、NH₃-N、TN和TP的水环境容量。结果表明:仙女湖水质总体处于地表水Ⅱ类~Ⅲ类标准,TN 0.32~0.91 mg/L、平均0.59 mg/L,NH₃-N 0.012~0.59 mg/L、平均0.31 mg/L,TP 0.017~0.080 mg/L、平均0.028 mg/L,COD_Mn 1.61~5.59 mg/L、平均2.85 mg/L,Chl-a 0.37~0.95 μg/L、平均0.56 μg/L。从湖区上游到下游,各指标尤其是总氮、总磷、透明度和氨氮呈现明显的趋优变化特征,除TP出现Ⅲ类水质外,其余指标多年持续处于Ⅱ类水质状态;从单因子状态指数来看,采用透明度评价的营养状态最高,大部分湖区持续处于轻度富营养状态;TN和TP评价的营养状态次之,处于中营养水平。仙女湖COD、NH₃-N、TN和TP水环境容量分别为21 208.0、3 528.8、4 991.2和248.1 t/a,分别剩余容量比率56.88%、68.25%、62.89%和13.67%,影响仙女湖水环境容量最突出的环境因子为TP。同时,基于对水环境容量影响因素的分析,最后提出了提高仙女湖区水环境容量的建设性方案。     

三峡库区泥沙对不同初始浓度硅藻生长影响

三峡库区含沙量大，库区蓄水后，泥沙沉降对水环境的影响不容忽视。为了探讨含沙水体对藻类生长的影响，丰富和深化富营养化的研究内容和相关理论，在适宜硅藻生长的光照、水温、营养盐等条件下，通过泥沙对不同初始浓度硅藻的生长影响试验研究。结果表明：适量的泥沙含量对硅藻生长有利。含沙量分别为0．0和0．2kg／m^3的两种初始硅藻浓度水样中，叶绿素a浓度峰值都远远高于试验初始硅藻叶绿素a量，明显高于该组其它4个含沙水样。     

Temporal and Spatial Trends in Nutrient and Sediment Loading to Lake Tahoe,California‐Nevada,USA

Since 1980, the Lake Tahoe Interagency Monitoring Program (LTIMP) has provided stream‐discharge and water quality data—nitrogen (N), phosphorus (P), and suspended sediment—at more than 20 stations in Lake Tahoe Basin streams. To characterize the temporal and spatial patterns in nutrient and sediment loading to the lake, and improve the usefulness of the program and the existing database, we have (1) identified and corrected for sources of bias in the water quality database; (2) generated synthetic datasets for sediments and nutrients, and resampled to compare the accuracy and precision of different load calculation models; (3) using the best models, recalculated total annual loads over the period of record; (4) regressed total loads against total annual and annual maximum daily discharge, and tested for time trends in the residuals; (5) compared loads for different forms of N and P; and (6) tested constituent loads against land use‐land cover (LULC) variables using multiple regression. The results show (1) N and P loads are dominated by organic N and particulate P; (2) there are significant long‐term downward trends in some constituent loads of some streams; and (3) anthropogenic impervious surface is the most important LULC variable influencing water quality in basin streams. Many of our recommendations for changes in water quality monitoring and load calculation methods have been adopted by the LTIMP.     

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。     

Long-Term Relationship between Phosphorus Inputs and Wetland Phosphorus Concentrations in a Northern Everglades Marsh

Assessments of long-term relationships between changes innutrient inputs and wetland nutrient concentrations can becomplicated by fluctuations in other environmental factors aswell as by problems typical of long-term monitoring data.Consequently, statistical analysisof these types of data sets requirescareful consideration of environmental covariates, potentialbiases in the monitoring design, and irregularities caused bychanges in field sampling protocols. We evaluated therelationship between anthropogenic phosphorus (P) inputs andwater-column total P (TP) concentrations in a northernEverglades marsh by statistically analyzing available datacollected from several sampling programs over the past 20 years(1978–1997). Canal inputs of agricultural runoff contributemost of the P to the marsh and have produced a zone ofenrichment within the marsh during the past few decades.Regression analyses showed that both canal and marsh TPconcentrations increased during the 1980s and then decreased inthe 1990s. However, the statistical relationship between canal Pinputs and marsh TP, while significant, generally was weakexcept for marsh locations adjacent to the canal. Strongerrelationships existed between marsh TP and hydrologic parameterssuch as marsh water depth, which is controlled by changes inweather patterns and marsh management. In particular, dryconditions during the 1980s may have contributed to observedincreases in marsh P concentrations and the movement of a P`front' further into the marsh. Higher rainfall and water depthsand agricultural best management programs initiated during the1990s have been associated with reduced P concentrations incanal waters entering the marsh. While it is anticipated thatthis reduction eventually will result in lower marsh TPconcentrations, this effect is not yet evident, possibly due tointernal loading of P from enriched marsh soils. Our findingsillustrate some of the environmental factors that can complicateattempts to develop empirical relationships between P inputs andwetland P concentrations and to use such relationships to forecast changesin marsh concentrations based on past monitoring data alone.     

湖泊富营养化遥感监测研究进展

通过对近年来国内外应用遥感技术对湖泊富营养化监测及评价的研究情况进行了广泛的收集和分析,简述了湖泊富营养化遥感监测的基本原理,总结了湖泊富营养化多光谱遥感与高光谱遥感成果,提出了今后的重点研究方向.