首页> 外文期刊>Ecological indicators >Carbon dioxide emission coupled extracellular enzyme activity at land-water interface predict C-eutrophication and heavy metal contamination in Ganga River, India
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Carbon dioxide emission coupled extracellular enzyme activity at land-water interface predict C-eutrophication and heavy metal contamination in Ganga River, India

机译:土地水界面的二氧化碳排放耦合细胞外酶活性预测印度甘河河富营养化和重金属污染

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摘要

Ganga, the largest river system in India, has fundamental ecological and social values; and has a large number of monitoring and assessment programs, but is rarely considered to explore the ecological response indicator(s) to identify anthropogenic environmental impacts. This study was targeted to identify a sensitive response indicator that can be used to detect ecosystem changes, on appropriate spatial and temporal scales, as a result of anthropogenic impacts. Intensive sampling was conducted during summer low flow of two consecutive years (2017-2018) on a sub-set of eight study sites along with 518 km main stem; and thirty sites downstream two point sources (one at the mouth and 14 up to 1.4 km downstream each point source). The study shows that CO2 emission at the land-water interface (LWI) can be used as one of the most robust response predictors of Ceutrophication. This predictability, however, is masked at sites containing a high concentration of heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn). The total concentration of heavy metals (STHM ranged from 161.12 to 887.04 mu g g(-1)) and their total bioavailable fractions (STBF ranged from 49.96 to 611.71 mu g g(-1)) indicated moderate to high degree of pollution load. The regulatory role of total organic carbon (TOC) to CO2 emission decreased as the metal concentrations tended to increase. The dynamic fit curve of main stem data showed that STHM 347.44 mu g g(-1) is able to cause detrimental effects on microbial activity and CO2 emission, however, for the site with very high TOC concentration (Asdr mouth) this limit reached to 472.53 mu g g(-1) indicating the modulatory role of TOC in metal toxicity. Passing from low to high concentrations, a gradual reduction in FDAase, beta-D-glucosidase, and protease was observed, and atSTBF of 611.71 mu g g(-1), the FDAase (a measure of overall microbial activity) declined by over 5.34 folds compared to those atSTBF of 49.96 mu g g(-1), the minimal level observed in this study. Our study gives a snapshot of a large river identifying, for the first time, the CO2 emission coupled extracellular enzyme activities at LWI as a 'response' predictor of C-eutrophication and potential consequences of heavy metal contamination.
机译:印度最大的河流系统江纳具有基本的生态和社会价值;并拥有大量监测和评估计划,但很少被认为探讨生态反应指标以识别人为环境影响。本研究旨在鉴定敏感响应指标,该指标可用于检测生态系统的变化,在适当的空间和时间尺度上,由于人为的影响。在连续两年(2017-2018)的八个学习网站上的夏季低流程期间进行了密集采样,以及518公里的主干;和下游两个点来源的三十个网站(在嘴里的一个,每个点源下游14 km)。该研究表明,陆地水界面(LWI)的CO2发射可用作中医营养化最强大的反应预测因子之一。然而,这种可预测性在含有高浓度的重金属(Cd,Cr,Cu,Ni,Pb和Zn)的位点上掩盖。重金属的总浓度(STHM为161.12至887.04μg(-1))及其总生物可利用级分(STBF范围为49.96至611.71μg(-1)),表明中度至高度的污染载荷。随着金属浓度趋于增加,总有机碳(TOC)对CO2发射的调节作用降低。主干数据的动态拟合曲线显示,STHM>347.44μggg(-1)能够对微生物活性和CO 2发射产生不利影响,但是对于具有非常高的TOC浓度(ASDR口)的部位达到472.53 mu gg(-1)表明TOC在金属毒性中的调节作用。从低浓度转移到高浓度,观察到FDAase,β-D-葡糖苷酶和蛋白酶的逐渐降低,611.71μg(-1)的AtstBF,FDAase(总微生物活性的量度)下降超过5.34倍与49.96亩GG(-1)的ATSTBF相比,本研究中观察到的最小水平。我们的研究提供了一条大型河流的快照,首次鉴定了LWI的CO2发射偶联的细胞外酶活性作为C-富营养化的“反应”预测因子以及重金属污染的潜在后果。

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