Macroinvertebrates community structure and water quality assessment in the North Canal River Basin, Beijing, China

被引:3
|
作者
Gu X. [1 ,2 ]
Xu Z. [2 ]
Wang M. [1 ]
Yin X. [1 ]
Liu L. [2 ]
Zhang X. [1 ,2 ]
Zuo D. [2 ]
机构
[1] Liaoning Provincial Key Laboratory for Hydrobiology, College of Fisheries and Life Science, Dalian Ocean University, Dalian
[2] Key Laboratory of Water and Sediment Science, College of Water Sciences, Beijing Normal University, Beijing
来源
Xu, Zongxue (zxxu@bnu.edu.cn) | 1600年 / Science Press卷 / 29期
关键词
Biotic Index; Community structure; Comprehensive water quality identification index; Macroinvertebrates; North Canal River; Water quality assessment;
D O I
10.18307/2017.0616
中图分类号
学科分类号
摘要
Macroinvertebrates as a biological indicator of aquatic health condition plays an important role in the protection and management of water ecological environment. Macroinvertebrates and water quality were investigated on the basis of samples collected at 33 sampling sites in the North Canal River Basin in May 2015. The community structure of macroinvertebrates was analyzed. The comprehensive water quality identification index and Biotic Index of macroinvertebrates were used to assess the water quality in the North Canal River Basin. The results obtained by using these two methods were compared each other by using the Kolmogorov-Smirnov test and Pearson correlation analysis. In this study, a total of 23 species of macroinvertebrates belonging to 3 phylum, 4 class, 6 order, 11 family and 11 genera were identified in the North Canal River Basin, which mainly represented by aquatic insects and molluscs. The community structure of macroinvertebrates in the whole basin was simple. The result of Biotic Index showed that 72% of the sampling sites were moderately(IV) or seriously(V) polluted and comprehensive water quality identification index showed that more than 57% of the sampling sites were worse than Class IV. The K-S test showed that the results were confirmed to normal distribution and Pearson correlation analysis exhibited that the results of these two methods had a significant positive correlation. The two results had the same tendency generally. Depending on the results, the water quality in the North Canal River Basin was poor. The main stream was better than the tributaries and the upstream was better than the downstream. The water quality in the upstream of the Wenyu River, the downstream of the Ba River, the upstream of the Tonghui River and the Liangshui River were poor while the headwater of the Wenyu River and the upstream of the Ba River were excellent. The result of comprehensive water quality identification index was a little better than that of Biotic Index. This was attributed to the reason that the two assessment methods focused on different spatial and temporal scales. In the North Canal River Basin with high urbanization level and strong human disturbance, the complex water ecological condition could be better understood with both assessment methods at the same time. © 2017 by Journal of Lake Sciences.
引用
收藏
页码:1444 / 1454
页数:10
相关论文
共 52 条
  • [1] Yin H., Xu Z., Comparative study on typical river comprehensive water quality assessment menthods, Resources and Environment in the Yangtze Basin, 17, 5, pp. 729-733, (2008)
  • [2] Lu W., Zhang T., Comparison and analysis of several appraisal methods for river water quality, Environmental Science and Management, 34, 6, pp. 174-176, (2009)
  • [3] Zhu W., Xia T., Jiang M., Et al., Comprehensive assessment of water environment for urban stream, Advances in Water Science, 18, 5, pp. 736-744, (2007)
  • [4] Chen Y., Meng W., Wu X., Et al., Ambient water quality criteria system in the United States, Research of Environmental Sciences, 24, 4, pp. 467-474, (2011)
  • [5] Xu Z., Comprehensive water quality identification index for environmental quality assessment of surface water, Journal of Tongji University: Natural Science, 33, 4, pp. 482-488, (2005)
  • [6] Wu W., Xu Z., Yu S., Water quality assessment and analysis for the Wei River Basin, Journal of Beijing Normal University: Natural Science, 49, 2-3, pp. 275-281, (2013)
  • [7] Wang B., Water quality bioassessment using benthic macroinvertebrates, (2003)
  • [8] Qin C., Quantitative tolerance values for common stream benthic macroinvertebrate and water quality classification use of biotic index (BI) in Yangtze River Delta, (2013)
  • [9] Yin X., Li Q., Zhu M., Et al., Community structure and biological integrity of macroinvertebrates in the wet and dry seasons of Wei River basin, China, Acta Ecologica Sinica, 35, 14, pp. 4784-4796, (2015)
  • [10] Jiang J., Wen F., Gu P., Et al., Community structure of macrozoobentos and bioassessment of water quality in Hujiaxi Stream of Qingjiang River Basin, Hubei Province, J Lake Sci, 21, 4, pp. 547-555, (2009)