温度对湖泊沉积物中沉水植物残体厌氧分解的影响

淡水湖泊水生植物残体的腐烂分解过程为沉积物中的异养微生物提供了重要的碳源,但是目前关于温度对沉水植物残体有机质分解的影响研究还不够深入.本研究通过室内微宇宙模拟实验,研究了4℃和25℃时马来眼子菜残体在沉积物中厌氧分解特征及其主要的微生物代谢途径.结果表明,温度对马来眼子菜残体的分解影响显著,25℃实验组沉积物中总有机碳（TOC）和纤维素去除率显著高于4℃实验组.25℃实验组沉积物初始腐殖质占TOC比例为18.23%±1.47%,90 d后达到约46%,这说明微生物对马来眼子菜残体的分解促进了沉积物腐质化.此外,温度升高促进了纤维素降解细菌（如拟杆菌门,Bacteroidetes）的生长繁殖,且硫酸盐还原细菌（如GOUTA19、脱硫球菌属（Desulfocuccus）、LCP-6、HB118）和铁还原细菌（如地杆菌属,Geobacter）是沉积物中主要的优势菌种.在25℃条件下,微生物硫酸盐还原、铁还原和产甲烷作用占马来眼子菜残体厌氧代谢的比例分别达到37.3%、27.8%和10.3%.综上所述,本研究表明温度升高促进了沉积物中马来眼子菜残体的厌氧分解,且微生物硫酸盐还原、铁还原和产甲烷过程在其厌氧分解过程中发挥了重要作用.     

硅藻群落指示的近50年来大理西湖湖泊生态系统演变规律

近年来,增强的人类活动使得云南部分湖泊生态系统发生退化,由草型清水态向藻型浊水态转变.全球变化背景下,了解湖泊生态系统演变规律是进行有效管理的前提,具有重要的科学意义.本研究以云南大理州小型浅水湖泊西湖为例,通过对沉积物硅藻群落和理化指标的分析,探讨了20世纪60年代中期以来大理西湖环境演变历程.结果表明,大理西湖生态系统在近50年发生了明显的稳态转换,以2000年为节点,硅藻群落从2000年前偏好贫营养环境的底栖附生种Cocconeis placentula、Staurosira construens、Gomphonema angustum和Achnanthidium minutissimum为优势种的状态,逐渐演替为偏好中营养环境的底栖附生硅藻Encyonopsis microcephala和Navicula cryptocephala及偏好富营养环境的浮游硅藻Cyclotella atomus、Cyclotella meneghiniana、Stephanodiscus hantzschii和Aulacoseira granulata为主导的状态.时间序列的主成分分析表明,硅藻群...     

湖泊水质富营养化评价的物元分析法

建立了利用物元分析理论进行湖泊水质富营养化评价的新模型.并研究了我国五个主要湖泊的富营养化状况,和其它方法比较,取得了满意的结果.     

游览黄龙─九寨沟自然地质公园

位于四川西北部的黄龙和九寨沟自然地质公园以其独特的高寒岩溶地质景观（钙华景观和层湖叠瀑景观）蜚声中外，被列为世界级风景区．本文介绍了黄龙钙华景观，将其分为钙华滩流、边石坝彩池、钙华瀑布、钙华洞穴和钙华泉；描述了九寨沟优美的层湖叠瀑景观，以及各主要景点的诗情画意。     

Grouping Lakes for Water Quality Assessment and Monitoring: The Roles of Regionalization and Spatial Scale

Regionalization frameworks cluster geographic data to create contiguous regions of similar climate, geology and hydrology by delineating land into discrete regions, such as ecoregions or watersheds, often at several spatial scales. Although most regionalization schemes were not originally designed for aquatic ecosystem classification or management, they are often used for such purposes, with surprisingly few explicit tests of the relative ability of different regionalization frameworks to group lakes for water quality monitoring and assessment. We examined which of 11 different lake grouping schemes at two spatial scales best captures the maximum amount of variation in water quality among regions for total nutrients, water clarity, chlorophyll, overall trophic state, and alkalinity in 479 lakes in Michigan (USA). We conducted analyses on two data sets: one that included all lakes and one that included only minimally disturbed lakes. Using hierarchical linear models that partitioned total variance into within-region and among-region components, we found that ecological drainage units and 8-digit hydrologic units most consistently captured among-region heterogeneity at their respective spatial scales using all lakes (variation among lake groups = 3% to 50% and 12% to 52%, respectively). However, regionalization schemes capture less among-region variance for minimally disturbed lakes. Diagnostics of spatial autocorrelation provided insight into the relative performance of regionalization frameworks but also demonstrated that region size is only partly responsible for capturing variation among lakes. These results suggest that regionalization schemes can provide useful frameworks for lake water quality assessment and monitoring but that we must identify the appropriate spatial scale for the questions being asked, the type of management applied, and the metrics being assessed.     

Geospatial and Temporal Analysis of a 20‐Year Record of Landsat‐Based Water Clarity in Minnesota's 10,000 Lakes

A large 20‐year database on water clarity for all Minnesota lakes ≥8 ha was analyzed statistically for spatial distributions, temporal trends, and relationships with in‐lake and watershed factors that potentially affect lake clarity. The database includes Landsat‐based water clarity estimates expressed in terms of Secchi depth (SD_Landsat), an integrative measure of water quality, for more than 10,500 lakes for time periods centered around 1985, 1990, 1995, 2000, and 2005. Minnesota lake clarity is lower (more turbid) in the south and southwest and clearer in the north and northeast; this pattern is evident at the levels of individual lakes and ecoregions. Temporal trends in clarity were detected in ~11% of the lakes: 4.6% had improving clarity and 6.2% had decreasing clarity. Ecoregions in southern and western Minnesota, where agriculture is the predominant land use, had higher percentages of lakes with decreasing clarity than the rest of the state, and small and shallow lakes had higher percentages of decreasing clarity trends than large and deep lakes. The mean SD_Landsat statewide remained stable from 1985 to 2005 but decreased in ecoregions dominated by agricultural land use. Deep lakes had higher clarity than shallow lakes statewide and for lakes grouped by land cover. SD_Landsat decreased as the percentage of agriculture and/or urban area increased at county and catchment levels and it increased with increasing forested land.     

“十一五”期间新疆湖库水质变化趋势及原因分析

通过对新疆湖库“十一五”期间水质变化趋势的分析,结合五年间地方政府采取的综合污染防治措施,分析了水质变化的原因,并提出相应对策建议,以便更好地推进新疆湖库水污染防治工作。     

Levels and congener profiles of polybrominated diphenyl ethers (PBDEs) in Zebra mussels (D. polymorpha) from Lake Maggiore (Italy)

Several congeners of polybrominated diphenyl ethers (PBDEs) were monitored in 14 different sampling stations of Lake Maggiore, the second largest Italian lake in regard to surface, volume and average depth, using the sentinel-organism Zebra mussel (Dreissena polymorpha). Results revealed a moderate contamination with summation operatorPBDE levels (BDE-17, -28, -47, -66, -71, -85, -99, -100, -138, -153, -154, -183, -190 and -209) ranging from 40 to 447ngg(-1) lipid weight which are similar to those found in environments polluted by deposition or atmospheric transport. The general order of decreasing congener contribution to the total load was BDE-47>-99>-100>-209, which closely reflected patterns observed in mussels collected in freshwater ecosystems worldwide.     

典型城市浅水湖泊沉积物磷原位物理化学控制技术

沉积物磷是受污染的典型城市浅水湖泊中重要的内源磷来源,关于沉积物控制技术的研究近年来受到广泛重视。针对沉积物磷原位处理技术,将其按原位物理技术和原位化学技术两方面进行了分类,并总结了各个类别中各技术的作用特点和研究进展,并对原位处理技术的未来发展进行了展望。     

Agricultural Lakes in Finland: Current Water Quality and Trends

Agriculture is the largest source of nutrients into surface waters in Finland, and yet relatively little is known about the actual impact of the agricultural load on the state of lakes. We analysed the water quality data of 20 Finnish agricultural lakes and found that they had higher levels of nutrients, chlorophyll a and turbidity than did the other types of lakes (e.g. those receiving point-source load) in the national monitoring network (the Finnish Eurowaternet). Currently, six of the agricultural lakes can be classified as eutrophic and 14 as hypertrophic. Trend analysis (based on Kendall's tau-b) indicated that during 1976–2002 the water quality of the lakes either remained constant or showed signs of increasing eutrophication and elevated turbidity. Decreasing nutrient concentrations were found only in one intensively restored lake. In none of the lakes had the chlorophyll a concentration decreased. The results of the trend analysis are compatible with the recent finding that, despite vigorous efforts, the nutrient load from agriculture has not declined in Finland. Recovery of the most eutrophied agricultural lakes would call for a drastic reduction in the external nutrient load, possibly supplemented with in-lake restoration.