再生水补给河流浮游植物群落特征及水环境因子关系研究——以清河为例
Study on the characteristics of phytoplankton community and the relationship with water environmental factors in rivers replenished with reclaimed water:A case study of Qinghe River
荆璞 1楼春华 2张博 1魏亮 2何春利2
作者信息
- 1. 北京市清河管理处 北京 100089
- 2. 北京市水科学技术研究院 北京 100048
- 折叠
摘要
为研究再生水补给河流浮游植物群落结构特征及其与环境因子之间的关系,于2021年3-11月,对清河上、中、下游浮游植物和水质进行监测分析.结果表明,清河水质主要指标年均值优于地表水Ⅳ类标准限值,最大值满足地表水Ⅴ类标准,水体氮营养丰富.浮游植物年均生物量1.428 g/L,硅藻占种类组成的61.5％;不同季节浮游植物优势功能群演替特征表明,清河为营养丰富浅水水体,春季水体相对浑浊,夏季适应暗环境的丝状蓝藻生物量增加,秋冬季节近盐骨条藻为绝对优势种.浮游植物种类演替受多重因素影响,NH3-N和流速为夏季浮游植物功能群的关键水环境因子,研究结果为河流科学管理提供参考和依据.
Abstract
To investigate the structural characteristics of phytoplankton communities in rivers replen-ished with reclaimed water and their relationships with environmental factors,a monitoring and analysis of phytoplankton and water quality was conducted in the upstream,midstream,and downstream reaches of Qinghe River from March to November 2021.The results indicated that the annual average values of the main water quality indicators in Qinghe River were superior to the Class Ⅳ standard limits for surface wa-ter,with the maximum values meeting the Class Ⅴ standard,suggesting nitrogen-rich water bodies.The annual average biomass of phytoplankton was 1.427 g/L,with diatoms accounting for 61.5％of the species composition.The succession characteristics of dominant functional groups of phytoplankton in different seasons revealed that Qinghe River was a nutrient-rich shallow water body.In spring,the water was rela-tively turbid,while in summer,the biomass of filamentous cyanobacteria adapted to dark environments in-creased.In autumn and winter,skeletonema costatum became the absolutely dominant species.The suc-cession of phytoplankton species was influenced by multiple factors,with NH3-N and V being the key wa-ter environmental factors for the functional groups of phytoplankton in summer.
关键词
再生水补给/浮游植物/结构特征/功能群/环境因子Key words
reclaimed water replenishment/phytoplankton/structural characteristics/functional groups/environmental factors引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据