摘要
本研究旨在为三峡库区大宁河藻华预警提供基础数据,于2011年4～9月期间在大宁河流域选择4个取样点开展藻细胞时空变化研究.藻细胞在时间序列表现为:4～9月,藻种主要以蓝藻、绿藻和硅藻为主,藻密度呈逐步递增趋势;在此期间4个取样点的蓝藻比重均逐步增大,硅藻比重逐步降低,绿藻比重变化不显著.藻细胞在空间分布上表现为:藻密度与水温和叶绿素呈极显著相关,相关系数分别为0.97和0.95,与光照、溶解氧、pH值和可溶性磷盐呈显著相关,相关系数分别为0.87、0.83、0.82、0.82;菜子坝在整个试验期间0 m处藻密度比其他水层的藻密度高,白水河在6月和7月的2.0 m处藻密度最高,双龙在7、8和9月的0 m和2.0 m处藻密度较高,大昌在整个试验期间,藻密度变化不大;不同藻细胞在垂向水层中的比重也随时间的变化而改变,可能是不同藻细胞适合不同生态环境所致.
In order to provide basic data for algal bloom warning system,the study on temporal-spatial distribution of algal cells was carried out in Daning River of Three Gorges form April to September,2011.The results of temporal distribution were as follows： the dominant algal species were blue algal,green algal and diatom.During the test,the density proportion of blue algae increased continuously,the density proportion of diatom decreased,while the density proportion of green algae did not change significantly.The results of spatial distribution were as follows： algal density was extremely significantly correlated with water temperature and chlorophyll a（Chl a）,the correlation coefficient were 0.97 and 0.95,respectively;algal density was significantly correlated with light intensity（LI）,dissolved oxygen（DO）,pH and dissoluble total phosphorus（DTP）,the correlation coefficient were 0.87,0.83,082 and 0.82,respectively;the algal density in 0 m of Caziba was higher than those in other water depths,and in Baishuihe the highest algal density occurred at 2.0 m water depth in June and July,in Shuanglong most algal cells were found in 0 m and 2.0 m in July,August and September,in Dachang algal density in different water depth did not change significantly during the test;the proportion of different algal species in vertical direction was different in the test,probably because different algal species fitted different environments.
出处
《环境科学》
EI
CAS
CSCD
北大核心
2013年第6期2166-2175,共10页
Environmental Science
基金
国家重点基础研究发展规划(973)项目(2012CB417004)
国家水体污染控制与治理科技重大专项(2012ZX07503-002)
关键词
三峡水库
大宁河
藻华
时空分布
相关性分析
Three Gorges
Daning River
algal bloom
temporal spatial distribution
correlation analysis
