巴基斯坦喀布尔河的水质如何通过藻类生物指示来确定

S. Barinova, Izaz Khuram, Asadullah, N. Ahmad, Samin Jan, D. Shin
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引用次数: 17

摘要

2014-2015年,在流经白沙瓦山谷的喀布尔河的四个地点共发现了209种藻类和蓝藻。绿藻、硅藻和绿藻丝状藻种类丰富,具有明显的地域性特征。物种丰富度和藻类丰度呈上升趋势。指数S在1.55 ~ 1.59之间变化(水质ⅲ类),反映了下游水质因污染物的影响而下降,主要是斯瓦特河支流。生物适应症结果显示底栖生物或浮游底栖物种、温带温度指标、流动缓慢的中氧合水域居民、盐度无关生物、eurysaides、中营养生物和对中等浓度硝酸盐耐受的自养藻类的流行,反映了中等污染水域。喀布尔河的水质。分析表明,利用藻类群落进行水质评价的整体生物指示可以给出自净可能性的相关结果,作为一种经济有效的方法,可用于区域水质监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How water quality in the Kabul River, Pakistan, can be determined with algal bio-indication
Altogether 209 species of algae and cyanobacteria has been revealed in 2014-2015 from four sites in the Kabul River that flow across the Peshawar Valley. Green algae, diatoms, and Charophyta filamentous algae were diverse and characterize regional feature in the river basin with high agricultural activity. Species richness and algal abundance were increase down the river. Index saprobity S varied between 1.55 and 1.59 (Class III of water quality) and reflects decreasing of water quality down the river as a result of pollutants impact, which brings mostly the Swat tributary. Bio-indication results show prevalence of benthic or plankto-benthic species, temperate temperature indicators, slow streaming middle oxygenated waters inhabitants, salinity-indifferents, eurysaprobes, mesotrophes, and autotrophic algae with tolerance to middle concentration of Nitrates that reflects middle polluted waters III-IV Class of Water 152 Sophia Barinova et al. Quality in the Kabul River. Our analysis shows that integral bio-indication in water quality assessment with using of algal communities can give relevant results of self-purification possibility, which can be employed in purpose of monitoring the regional water quality as economy and resultative method.
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