Comparison of river quality indices to detect the impact of organic pollution and water abstraction in Hindu Kush-Himalayan rivers of Nepal.

C. Feld, M. Tangelder, M. J. Klomp, Subodh Sharma
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引用次数: 10

Abstract

Several assessment methods exist for river quality classification in the Hindu Kush-Himalayan region. While rapid field bioassessment (RFB)1 applies on-site screening protocols, more sophisticated multi-habitat sampling (MHS) is employed to generate biotic scores using benthic macroinvertebates as bioindicators. This study presents the comparison of River Quality Classifications (RQC) according to i) 40 RFB records based on two slightly different RFB protocols and ii) 20 qualitative benthic macroinvertebrate samples used to calculate two different scores (average scores per taxon; ASPT). Sensory attributes, such as odour, colour, foam and epilithic algal cover, were used in addition to biological samples for RFB. All samples were taken at two river basins in Nepal, the Punyamata river (12 stations, stressor: organic pollution) and the Khimti river (8 stations, stressor: damming and water abstraction). RQCs revealed organic pollution to impact benthic invertebrate communities in the Punyamata river, while the impact of water abstraction and damming was not detectable in the Khimti basin based on the methods compared. Furthermore, a pollution gradient was clearly detectable based on 66 macroinvertebrate families and genera found in our samples. Our results confirm the applicability of RFB protocols and scoring systems to asses the impact of organic pollution in Nepalese rivers. Further research, however, will be required to adjust the protocols and taxon scores to assess also the impact of other stressors present in the region. Key words: Rapid field bioassessment; benthic macroinvertebrates; NEPBIOS; ASPT; water quality; Punyamata; Khimti DOI: 10.3126/jowe.v4i0.2545 Journal of Wetlands Ecology , (2010) Vol. 4, pp 112-127
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尼泊尔兴都库什-喜马拉雅河流有机污染和取水影响的河流质量指标比较。
兴都库什-喜马拉雅地区河流水质分类存在多种评价方法。虽然快速现场生物评估(RFB)1采用现场筛选方案,但更复杂的多栖息地采样(MHS)采用底栖大型无脊椎动物作为生物指标来生成生物评分。本研究比较了基于两种略有不同的RFB协议的40条RFB记录和用于计算两种不同分数的20个定性底栖大型无脊椎动物样本(每个分类单元的平均分数;ASPT)。除了生物样品外,RFB还使用了感官属性,如气味、颜色、泡沫和附石藻盖。所有样本取自尼泊尔的两个河流流域,Punyamata河(12个站点,压力源:有机污染)和Khimti河(8个站点,压力源:筑坝和取水)。RQCs结果显示,有机污染对Punyamata河底栖无脊椎动物群落有影响,而在Khimti流域没有检测到取水和筑坝的影响。此外,基于我们样本中发现的66个大型无脊椎动物科和属,可以清楚地检测到污染梯度。我们的研究结果证实了RFB协议和评分系统在评估尼泊尔河流有机污染影响方面的适用性。然而,需要进一步的研究来调整协议和分类单元评分,以评估该地区存在的其他压力源的影响。关键词:快速现场生物评价;底栖大型无脊椎动物;NEPBIOS;ASPT;水质量;Punyamata;湿地生态学报,2010,Vol. 4, pp 112-127 . DOI: 10.3126/ jour .v4i0.2545
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