Gao Meng-Die, Li Yan-Fen, Li Yan-Li, Sun Ang, Tian Shuang, Zhang Chun-Hui, Geng Ya-Ping, Li Lin-Xia
School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China.
School of Chemical and Environmental Engineering, Jiaozuo University, Jiaozuo 454000, China.
Huan Jing Ke Xue. 2022 Sep 8;43(9):4576-4586. doi: 10.13227/j.hjkx.202111307.
In October-November 2020, the phytoplankton and the aquatic environment from 62 sites in the mainstream of the Qinhe River and the largest tributary of the Qinhe River (Danhe River) in the Jincheng region were investigated to clarify the spatial pattern of phytoplankton communities and their driving factors. A total of 7 phyla and 47 species of phytoplankton were identified in the Qinhe River basin and were composed of Cryptophyta, Chlorophyta, Pyrrophyta, Chrysophyta, Bacillariophyta, Cyanophyta, and Crytophyta. Six dominant species in the Qinhe River included:, and . Six dominant species in the Danhe River included: Lemm, and . The Shannon-Wiener diversity index () varied from 0.35 to 3.15, with a mean value 1.40. The Pielou evenness index () varied from 0.24 to 1.00, with a mean value of 0.68. values in the Qinhe River were higher than those in the Danhe River. values were relatively low in the middle reaches of the Qinhe River and middle-low reaches of the Danhe River. The results in the Qinhe River through a canonical correspondence analysis (CCA) showed that the percent of forest land at a 300 m buffer was the driving factor of in Chlorophyta, and nitrate, total phosphorus, and the percent of forest land at the 300 m buffer were the driving factors of . was mainly influenced by the percent of urban land and water temperature, whereas , and were mainly influenced by the percent of farmland and residential land at the 300 m buffer. The results in the Danhe River via CCA showed that and were mainly influenced by pH and sulfate, was mainly influenced by the percent of urban land and grass land, was mainly influenced by chloride and the percent of forest land, was mainly influenced by water temperature and the percent of farmland, and was mainly influenced by ammonia and the percent of farmland.
2020年10月至11月,对晋城市沁河干流及其最大支流(丹河)62个点位的浮游植物和水环境进行了调查,以阐明浮游植物群落的空间格局及其驱动因素。沁河流域共鉴定出7门47种浮游植物,包括隐藻门、绿藻门、甲藻门、金藻门、硅藻门、蓝藻门和裸藻门。沁河的6种优势种包括: , , , , , 。丹河的6种优势种包括: , , , , , 。香农-威纳多样性指数( )在0.35至3.15之间变化,平均值为1.40。皮洛均匀度指数( )在0.24至1.00之间变化,平均值为0.68。沁河的 值高于丹河。沁河中游和丹河中下游的 值相对较低。沁河通过典范对应分析(CCA)的结果表明,300米缓冲区内林地百分比是绿藻门 的驱动因素,而硝酸盐、总磷和300米缓冲区内林地百分比是 的驱动因素。 主要受城市用地百分比和水温影响,而 、 和 主要受300米缓冲区内农田和居住用地百分比影响。丹河通过CCA的结果表明, 和 主要受pH值和硫酸盐影响, 主要受城市用地和草地百分比影响, 主要受氯化物和林地百分比影响, 主要受水温和田地百分比影响, 主要受氨和田地百分比影响。