School of Life Science, Shanxi University, Taiyuan, 030006, China.
School of Physical Education, Shanxi University, Taiyuan, 030006, China.
Environ Monit Assess. 2018 Dec 27;191(1):29. doi: 10.1007/s10661-018-7177-2.
In this paper, the algal cell density of cyanobacteria, green algae, and diatoms and their responses to the hydrochemical factors were analyzed to reveal the structural characteristics of water quality in an urban river. A total of nine sampling sites from upstream to downstream was explored in our study. At each site, the density of algae was identified every week during the wet season (June-October) from 2012 to 2017, and in situ detection was used for the relative 11 hydrochemical variables. The temporal and spatial characteristics of 14 variables were analyzed using a heatmap coupled with the cluster analysis method. The trend of each parameter was analyzed using the smoothing method with locally weighted regression. The nonmetric multidimensional scaling method was employed to detect the temporal and spatial similarities among algae along hydrochemical gradients. The responses of algal density to hydrochemical variables were analyzed using a redundancy analysis. The results showed that the water temperature (W), pH, dissolved oxygen (DO), cyanobacteria, and diatoms exhibited significant declining trends, and significant increasing trends were shown in the permanganate index, chemical oxygen demand, total nitrogen, ammonia nitrogen, and total phosphorus; the cyanobacteria exhibited certain differences with green algae and diatoms in summer and the downstream areas of the river. The temporal-spatial homogeneity of algal to hydrochemical variables showed the key influencing factors of W for cyanobacteria density, chlorophyll for green algae density, DO, and pH for diatoms. The results presented here are valuable for deepening our understanding of river ecosystem evaluations and effective environmental management, as well as an important reference for the sustainable development of aquatic biological resources.
本研究分析了蓝藻、绿藻和硅藻的藻细胞密度及其对水化学因子的响应,以揭示城市河流的水质结构特征。共选取了 9 个采样点,从上游到下游进行探索。在 2012 年至 2017 年的雨季(6 月至 10 月),每周在每个采样点识别藻类的密度,并使用原位检测方法检测相对的 11 种水化学变量。使用热图和聚类分析方法分析 14 个变量的时空特征。使用局部加权回归平滑方法分析每个参数的趋势。非度量多维尺度法用于检测沿水化学梯度的藻类的时空相似性。冗余分析用于分析藻密度对水化学变量的响应。结果表明,水温(W)、pH 值、溶解氧(DO)、蓝藻和硅藻呈显著下降趋势,高锰酸盐指数、化学需氧量、总氮、氨氮和总磷呈显著上升趋势;蓝藻在夏季和河流下游区域与绿藻和硅藻存在一定差异。藻类对水化学变量的时空同质性表明,W 是蓝藻密度的关键影响因素,叶绿素是绿藻密度的关键影响因素,DO 和 pH 是硅藻密度的关键影响因素。本研究结果对于深化河流生态系统评价和有效环境管理具有重要意义,也为水生生物资源的可持续发展提供了重要参考。