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Integrated use of inverse and biotic ligand modelling for lake water quality resilience estimation: A case of Ramsar wetland, (Deepor Beel), Assam, India
Environmental Research ( IF 8.3 ) Pub Date : 2021-06-07 , DOI: 10.1016/j.envres.2021.111397
Ashwin Singh 1 , Anandita Gogoi 2 , Parijat Saikia 3 , D Karunanidhi 4 , Manish Kumar 5
Affiliation  

The present study evaluates the vulnerability of the lake system (Deepor Beel) due to the combined exposure of toxic metals, major ions and mineral dissociation. The hydro-chemistry of the Deepor Beel lake reveals the dominance of carbonate weathering with strong evidences of ion-exchange reaction occurring throughout the monsoon season of 2014 and 2015. Through an integrated application of multivariate analysis, the occurrence of albite weathering was confirmed, although as an isolated incidence only, along-with substantial evidence of waste water intrusion from fertilizer industries. The moderate cation exchange capacity (CEC) of the soil, indicates the presence of illite, chlorite and kaolinite which provides a strong buffering action in terms of phosphorous and nutrient retention. However, occurrences of chemical waste in the form of bleaching powder (Ca(OCl)2) are causing acidification of lake soil, which will trigger the release of phosphorous and may enhance the eutrophication level in near future. Through the simulations of Biotic Ligand (BL) model on ceriodaphnia dubia, it is being revealed, that the free availability of Ca2+ in the lake water, provides a higher adsorptive competition for labile metal species especially for Cu and Zn. Additionally, the risk among children from drinking lake water, has increased by three to seven times in a duration of just one year. The present study is a pioneering work, which has evaluated the vulnerability of Deepor Beel lake by adopting a sequential assessment strategy of lake internal as well as external ecology. Our proposed methodology can be a used as a scientific basis for future assessment of the lake health.



中文翻译:

综合使用逆向和生物配体模型进行湖泊水质恢复力估计:印度阿萨姆邦拉姆萨尔湿地(Deepor Beel)的案例

本研究评估了湖泊系统(Deepor Beel)由于有毒金属、主要离子和矿物分解的综合暴露而造成的脆弱性。Deepor Beel 湖的水化学揭示了碳酸盐风化占主导地位,有力的证据表明在整个 2014 年和 2015 年季风季节发生了离子交换反应。通过综合应用多变量分析,确认钠长石风化的发生,尽管仅作为孤立事件,以及化肥工业废水侵入的大量证据。土壤的中等阳离子交换容量 (CEC) 表明存在伊利石、绿泥石和高岭石,它们在磷和养分保留方面提供了强大的缓冲作用。然而,2 ) 正在引起湖土酸化,这将引发磷的释放,并可能在不久的将来加剧富营养化水平。通过对ceiodaphnia dubia 的 Biotic Ligand (BL) 模型的模拟,揭示了 Ca 2+的免费可用性在湖水中,为不稳定的金属物种,尤其是 Cu 和 Zn 提供了更高的吸附竞争。此外,儿童饮用湖水的风险在短短一年内增加了三到七倍。本研究是一项开创性工作,通过采用湖泊内部和外部生态的顺序评估策略评估了Deepor Beel湖的脆弱性。我们提出的方法可以用作未来评估湖泊健康的科学基础。

更新日期:2021-06-17
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