Index of biotic integrity based on phytoplankton and water quality index: Do they have a similar pattern on water quality assessment? A study of rivers in Lake Taihu Basin, China
Index of biotic integrity based on phytoplankton and water quality index: Do they have a similar pattern on water quality assessment? A study of rivers in Lake Taihu Basin, China
复制标题
基于浮游植物的生物完整性指数和水质指数：它们在水质评估方面是否有相似的模式？
DOI：
10.1016/j.scitotenv.2018.12.216
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发表时间：
2019
影响因子：
9.8
通讯作者：
Li Kuanyi
中科院分区：
文献类型：
--
作者：
Wu Zhaoshi;Kong Ming;Cai Yongjiu;Wang Xiaolong;Li Kuanyi
采用基于浮游植物的生物完整性指数（P-IBI）对太湖流域河流生态状况进行了研究，并与水质指数（WQI）进行了比较。从2014年9月至2016年1月，在主要河流的96个地点季节性采集样本。三个关键生态指标，即，根据浮游植物密度、叶绿素a和门希尼克指数与环境参数的相关性，从22个候选指数中筛选出浮游植物密度、叶绿素a和门希尼克指数。结果表明，基于P-IBI的黄河下游生态状况在空间尺度（特别是与其他5个水系之间）和季节尺度上存在显著差异。此外，拟议的P-IBI有效地确定了与每个级别（差、低和中等）相关的主要环境参数（总氮、铵、总磷和高锰酸盐指数）。在空间尺度上，P-IBI与WQI呈显著正相关，且与季节无关。然而，根据P-IBI在空间（P< 0.001）和季节尺度（P值分别为0.018，在其他季节< 0.001），生态条件显着恶化，两种方法的季节分布格局不同。我们的研究表明，P-IBI提供了一个必要的补充，河流生态条件的评估和选择的关键指标（浮游植物密度，叶绿素a和Menhinick）是适合河流生态系统。此外，与WQI相比，使用P-IBI时的水质状况普遍较差，这一现象需要在水质评估过程中进一步关注，以及不同的季节分布模式。
Our study illustrated the ecological conditions in the rivers of Lake Taihu Basin (LTB) using an index of biotic integrity based on phytoplankton (P-IBI), and its performance was compared with the previously developed water quality index (WQI). Samples were collected seasonally at 96 sites covering the major rivers from September 2014 to January 2016. Three critical ecological indices, i.e., phytoplankton density, chlorophylla(chla), and Menhinick, were selected from a pool of 22 candidate indices mainly according to the correlations among indices and environmental parameters. The results indicated that the ecological status of LTB based on P-IBI was significantly different at spatial (especially between Tiaoxi and the other 5 river systems) and seasonal scales. Furthermore, the proposed P-IBI effectively identified the major environmental parameters (total nitrogen, ammonium, total phosphorus, and permanganate index) associated with each level (bad, low, and moderate). Moreover, the P-IBI was closely and positively correlated with the WQI at the spatial scale regardless of season. However, the ecological conditions were significantly worse according to the P-IBI at both the spatial (P< 0.001) and seasonal scales (Pvalues of 0.018 in winter and < 0.001 in other seasons, respectively), and the seasonal distribution pattern differed between the two methods. Our study suggests that the P-IBI provides an essential supplement for the assessment of ecological conditions of rivers and that the selected critical indices (phytoplankton density, chla, and Menhinick) are suitable for river ecosystems. Additionally, compared with WQI, the water quality condition was generally worse when using P-IBI, and this phenomenon requires further attention during water quality assessments, as well as different seasonal distribution patterns.