投稿中心

审稿中心

编辑中心

期刊出版

网站地图

友情链接

引用本文:闫雪燕,张鋆,李玉英,蒋叶青,崔真真,高肖飞,吴乃成,Fohrer Nicola,韩雪梅.动态调水过程水文和理化因子共同驱动丹江口水库库湾浮游植物季节变化.湖泊科学,2021,33(5):1350-1363. DOI:10.18307/2021.0505
Yan Xueyan,Zhang Yun,Li Yuying,Jiang Yeqing,Cui Zhenzhen,Gao Xiaofei,Wu Naicheng,Fohrer Nicola,Han Xuemei.Hydrologic and physicochemical factors co-drive seasonal changes of phytoplankton during dynamic water diversion processes in the Danjiangkou Reservoir*. J. Lake Sci.2021,33(5):1350-1363. DOI:10.18307/2021.0505
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 276次   下载 112 本文二维码信息
码上扫一扫!
分享到: 微信 更多
动态调水过程水文和理化因子共同驱动丹江口水库库湾浮游植物季节变化
闫雪燕1, 张鋆1, 李玉英1, 蒋叶青1, 崔真真1, 高肖飞2, 吴乃成3, Fohrer Nicola3, 韩雪梅1,4
1.南阳师范学院水资源与环境工程学院, 河南省南水北调中线水源区流域生态安全国际联合实验室, 南水北调中线水源区水安全河南省协同创新中心, 南阳 473061;2.中国科学院城市环境研究所, 城市环境与健康重点实验室, 水生态健康研究组, 厦门 361021;3.德国基尔大学水文与水资源管理系, 基尔 24118;4.海南师范大学生命科学学院, 海口 571158
摘要:
丹江口水库是南水北调中线工程水源地,库湾是水库型湖泊水质安全敏感区,动态调水过程库湾水质直接关系到调水安全.为探究动态调水过程中丹江口水库库湾浮游植物季节变化规律和驱动因子,2018年7月-2019年7月,从丹库入库口到渠首调水口,按季节对18个样点进行水质和浮游植物群落组成分析.从整个丹库来看,浮游植物全年总丰度变化范围为0.43×103~4.7×106 cells/L,夏季最高,秋季最低;Shannon-Wiener指数春季最高,秋季最低.春季群落为硅藻-绿藻型,夏季为绿藻-硅藻型,秋季为蓝藻型,冬季为蓝藻-绿藻-硅藻型,秋季蓝藻相对丰度最高.位于丹库准保护区内的库湾胡寨,秋季水体电导率、总氮、总磷和叶绿素a浓度最大,蓝藻丰度最高.从入库口经库湾到调水口,浮游植物群落组成存在明显演替.从水文因子来看,秋季水库水位较高,调水流速和流量增加,线性回归分析表明,水位对Shannon-Wiener指数的影响最为明显,水位越高则多样性指数越低;流量和流速与Shannon-Wiener指数也呈负相关,但相关性较低.方差分解分析发现,水文因子和理化因子共同影响了浮游植物群落组成;偏Mantel分析显示3个库湾浮游植物群落组成与水温、氧化还原电位、化学需氧量、总氮和总磷浓度相关;典范对应分析也表明,总氮是影响库湾浮游植物群落组成最显著的环境因子.人类干扰活动改变了库湾水质理化性质,强干扰提高了蓝藻门丰度.因此,控制库湾人类干扰强度,尤其在水位和调水量较高的秋季,对于改善水体藻类组成、保护整个丹江口水库水质具有重要意义.
关键词:  丹江口水库  动态调水  库湾  浮游植物  群落结构
DOI:10.18307/2021.0505
分类号:
基金项目:国家自然科学基金项目(51879130,U1704124,41601332)、河南省重点科技攻关项目(2016151,17454,182102311021)和河南省教育厅重点项目(19B180007)联合资助.
Hydrologic and physicochemical factors co-drive seasonal changes of phytoplankton during dynamic water diversion processes in the Danjiangkou Reservoir*
Yan Xueyan1, Zhang Yun1, Li Yuying1, Jiang Yeqing1, Cui Zhenzhen1, Gao Xiaofei2, Wu Naicheng3, Fohrer Nicola3, Han Xuemei1,4
1.International Joint Laboratory of Watershed Ecological Security and Collaborative Innovation Center of Water Security for Water Source Region of Middle Route Project of South-North Water Diversion in Henan Province, College of Water Resource and Environment Engineering, Nanyang Normal University, Nanyang 473061, P.R.China;2.Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, P.R.China;3.Department of Hydrology and Water Resources Management, University of Kiel, Kiel 24118, Germany;4.College of Life Sciences, Hainan Normal University, Haikou 571158, P.R.China
Abstract:
Reservoir bays are sensitive areas in terms of water quality and safety. This study analyzed water quality in the Danjiangkou Reservoir in China. Specifically, seasonal patterns and drivers of phytoplankton in the reservoir were explored during dynamic water diversion processes. Water quality and phytoplankton community samples were collected from 18 representative sites ranging from the inlet to the outlet of the reservoir, and samples were collected seasonally from July 2018 to July 2019. In the entire reservoir, the total abundance of phytoplankton ranged from 0.43×103 to 4.7×106 cells/L, with the highest abundance in summer and lowest in autumn. The Shannon-Wiener diversity index was the highest in spring and lowest in autumn. The phytoplankton community was composed of diatoms-Chlorophyta in spring, Chlorophyta-diatoms in summer, cyanobacteria in autumn, and cyanobacteria-Chlorophyta-diatoms in winter. The relative abundance of cyanobacteria was highest in autumn. Conductivity, total nitrogen (TN), total phosphorus (TP), and chlorophyll-a were all highest in autumn, and cyanobacteria abundances were the highest in Huzhai Bay. An obvious succession of phytoplankton communities was observed from the inlet to the bay to the outlet. For hydrological factors, reservoir water levels were the highest in autumn, during which the regulating flow velocity and flow capacity increased. Linear regression analysis showed that water levels were negatively correlated with diversity indices. Variation partitioning showed that stochastic factors and physicochemical factors both influenced the formation of phytoplankton communities. The partial Mantel test indicated that the phytoplankton community composition in bays was correlated with the water temperature, oxidation-reduction potential, chemical oxygen demand, TN, and TP. Canonical correspondence analysis showed that TN was the most significant factor affecting the composition of phytoplankton communities in bays. These findings should be useful for future efforts to improve water quality in the Danjiangkou Reservoir.
Key words:  Danjiangkou Reservoir  dynamic water diversion  bay  phytoplankton  community composition
分享按钮