Benthic diatoms as indicators of water quality in Sharda (Kali), a transboundary Himalayan River

IF 3.6 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2025-02-18 DOI:10.1007/s10661-025-13695-2
Saleha Naz, Jyoti Verma, Ambrina Sardar Khan, Shalini Dhyani, Geeta Srivastava, Prishita Singh, Abhishek Kumar Sharma, Prateek Srivastava
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Abstract

Bioassessment studies in river systems of India are rather scarce and most of the monitoring programmes still rely on the traditional physical and chemical analysis. We explored the biomonitoring potential of benthic diatoms from the Sharda (Kali) river in the Himalayas, which is due interlinking with the Yamuna River under the National River Linking Programme (NRLP) in India. Seventeen sites along the Sharda were sampled in November 2022 for the analysis of 14 physical and chemical variables and benthic diatoms. Hierarchical agglomerative cluster analysis (HACA) and principal component analysis (PCA) of the physico-chemical data set revealed two major groups of sites; the majorly unpolluted sites at higher elevations of Kumaun Himalayas (KH) and the low or moderately polluted sites of Terai Plains (TP) at lower elevations. Application of Water Quality Index (WQI) assigned a good water quality class (B) to all selected sites. A total of 31 genera including 107 species of diatoms were recorded during the present study. Achnanthes pseudoswazi, Achnanthidium minutissimum, Achnanthidium pusillum, Geissleria decussis, and Reimeria sinuata were the most abundant forms from KH whereas Gomphonema acuminatum, Cymbella excisa, Cocconeis pediculus, Nitzschia linearis, and Navicula angusta were the dominant forms recorded from TP. A decrease in diatom diversity was observed from KH to TP sites due to hydrogeomorphological changes and human interventions. Significant differences (p < 0.05 and p < 0.01) between diatom diversity index scores was observed between KH and TP sites. Diversity indices correlated significantly with important water quality variables. The results of the diatom indices such as Trophic Diatom Index (TDI), Specific Pollution Sensitivity Index (IPS), Generic Diatom Index (IDG), and Louis Leclercq Diatom Index (IDSE) corroborated well with the recorded physicochemical variables and WQI values. IPS diatom index exhibited better resolution than WQI with reference to categorization of sites and subsequent establishment of ecological status. IPS was found to be the most suitable index and could be utilized for a pre-linkage ecological status establishment for the Sharda River. However, weak correlations of diatom indices and water quality variables along with low percentage of taxa included for computation of diatom indices reiterates the importance of establishment of region specific autecological preferences of diatoms and subsequent formulation of a customized diatom index for the Sharda River system.

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底栖硅藻作为跨界喜马拉雅河流Sharda (Kali)的水质指标
印度河流系统的生物评价研究相当少,大多数监测方案仍然依赖于传统的物理和化学分析。我们探索了喜马拉雅山脉Sharda (Kali)河底栖硅藻的生物监测潜力,这条河是在印度国家河流连接计划(NRLP)下与亚穆纳河相连的。2022年11月,科学家对沙达河沿岸的17个地点进行了采样,分析了14种物理和化学变量以及底栖硅藻。理化数据集的层次聚类分析(HACA)和主成分分析(PCA)揭示了两大类位点;Kumaun喜马拉雅山脉(KH)的高海拔地区主要是未受污染的地点,而Terai平原(TP)的低海拔地区则是低或中度污染的地点。应用水质指数(WQI)将所有选定地点评为水质良好(B)级。本研究共记录到31属107种硅藻。在青藏高原上记录到最多的菌种是假swazia、mintissimum、pusillum、Geissleria deussis和Reimeria sinuata,而在青藏高原上记录到的优势菌种是gonphonema acuminatum、Cymbella excisa、Cocconeis pediculus、Nitzschia linearis和Navicula angusta。由于水文地貌变化和人为干预,从KH点到TP点的硅藻多样性呈下降趋势。KH位点与TP位点硅藻多样性指数得分差异有统计学意义(p <; 0.05和p <; 0.01)。多样性指数与重要水质变量呈显著相关。营养硅藻指数(TDI)、特定污染敏感性指数(IPS)、通用硅藻指数(IDG)和Louis Leclercq硅藻指数(IDSE)等硅藻指标的测定结果与记录的理化变量和WQI值吻合较好。IPS硅藻指数比WQI具有更好的分辨力,可用于样地的分类和生态状况的建立。IPS是最合适的指标,可用于建立沙达河连锁前的生态状况。然而,硅藻指数与水质变量的弱相关性以及硅藻指数计算中包含的类群百分比低,重申了建立特定区域硅藻的生态偏好和随后为沙达河水系制定定制硅藻指数的重要性。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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