Imprints of pandemic lockdown on subsurface water quality in the coastal industrial city of Tuticorin, South India: A revival perspective.
Imprints of pandemic lockdown on subsurface water quality in the coastal industrial city of Tuticorin, South India: A revival perspective.
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DOI：
10.1016/j.scitotenv.2020.139848
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发表时间：
2020-10-10
期刊：
影响因子：
--
通讯作者：
Kumar M
中科院分区：
文献类型：
--
作者：
Selvam S;Jesuraja K;Venkatramanan S;Chung SY;Roy PD;Muthukumar P;Kumar M
在全球范围内，通过新闻文章和照片报道了由于封锁期间人类活动而改善环境的情况，但缺乏正式的学术研究来证实封锁的影响。我们特此介绍2020年3月25日至5月30日印度全国封锁（COVID-19流行）期间封锁对水质（化学和生物）参数的影响。本研究基于印度南部沿海工业城市杜蒂戈林的22个地下水样本描述了化学和生物水质参数的变化，这些样本取自印度南部沿海工业城市杜蒂戈林，采集于封锁之前（2020年2月10日至11日）和封锁期间（4月19日至20日） 2020）期间。比较的理化参数为pH、总溶解固体(TDS)和电导率(EC)、硝酸盐(NO3)、氟化物(F)、铬(Cr)、铁(Fe)、铜(Cu)、锌(Zn)、镉(Cd)、铅(Pb)、砷(As)和硒(Se)，细菌参数为总大肠菌群、粪大肠菌群、大肠杆菌、和粪便链球菌。在金属中，硒（42％）、砷（51％）、铁（60％）和铅（50％）的显着减少可能是由于封锁期间金属工业、海鲜工业和火力发电厂的废水排放没有或很少。 NO3（56%）、总大肠菌群（52%）和粪大肠菌群（48%）的减少表明来自渔业的有机污水减少。然而，Cr、Cu、Zn 和 Cd 的含量保持相似，氟化物没有显示任何变化，可能是因为它们来自岩石与水的相互作用。同样，由于封锁期间生活污水产生量没有显着变化，我们没有观察到大肠杆菌和粪便链球菌的变化。多变量分析恰当地说明了这一点，主成分分析有助于确定与封锁前相比控制封锁期间水质的来源。我们的观察表明，地下水肯定与地表水发生积极的相互作用，因此在人类活动停止后可以观察到地下水的快速恢复。 As、Se、Pb 和 Fe 反映了 COVID-19 封锁期间工业废物的减少。由于包括渔业在内的工业活动的关闭，NO3 和大肠菌群减少。工业用途面积和地表水可用性表现出更好的印记。因素分析表明，封锁后水质对比度下降。
Globally, the incidences of environmental improvements owing to seizing the anthropogenic activities during the lockdown have been reported through news articles and photographs, yet a formal scholarly study has been lacking to substantiate the imprints of lockdown. We hereby present the imprints of lockdown on water quality (both chemical and biological) parameters during the nationwide lockdown (COVID-19 epidemic) in India between 25th March to 30th May 2020. The present study describes the changes in chemical and biological water quality parameters based on twenty-two groundwater samples from the coastal industrial city of Tuticorin in Southern India, taken before (10 and 11th February 2020) and during the lockdown (19 and 20th April 2020) periods. The physico-chemical parameters compared are pH, total dissolved solids (TDS) and electrical conductivity (EC), nitrate (NO3), fluoride (F), chromium (Cr), iron (Fe), copper (Cu), zinc (Zn), cadmium (Cd), lead (Pb), arsenic (As), and selenium (Se), and the bacterial parameters are total coliforms, fecal coliforms, E. coli, and fecal streptococci. Among the metals, the significant reductions in Se (42%), As (51%), Fe (60%) and Pb (50%) were noticed probably owing to no or very less wastewater discharges from metal-based industries, seafood-based industries and thermal power plants during the lockdown. Reduction in NO3 (56%), total coliform (52%) and fecal coliforms (48%) indicated less organic sewage from the fishing industries. Contents of Cr, Cu, Zn and Cd, however, remained similar and fluoride did not show any change, probably as they were sourced from rock-water interactions. Similarly, we did not observe alterations in E. coli and fecal streptococci due to no significant change in domestic sewage production during the lockdown. The multivariate analyses aptly illustrated this and the principal component analyses helped to identify the sources that controlled water qualities of the lockdown compared to the pre-lockdown period. Our observation implies that groundwater is definitely under active interaction with surface waters and thus a quick revival could be observed following the seizing of anthropogenic activities. As, Se, Pb and Fe mirrored reduction in industrial waste during COVID-19 lockdown. NO3 and coliform reduced due to closure of industrial activities including fisheries. Area under industrial use and surface water availability exhibited better imprints. Factor analyses illustrated diminishing of water quality contrast following lockdown.
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影响因子：
9.8
作者：
Kumar, Manish;Taki, Kaling;Dhangar, Kiran
通讯作者：
Dhangar, Kiran
影响因子：
8.3
作者：
Kumar, Manish;Ram, Bhagwana;Chaminda, Tushara
通讯作者：
Chaminda, Tushara
影响因子：
8.8
作者：
Kumar, Manish;Das, Nilotpal;Ramanathan, A. L.
通讯作者：
Ramanathan, A. L.
影响因子：
8.8
作者：
Kumar, Manish;Das, Aparna;Singh, Umesh Kumar
通讯作者：
Singh, Umesh Kumar
DOI：
10.1007/s00128-010-0152-4
发表时间：
2010-12-01
影响因子：
2.7
作者：
Puthiyasekar, C.;Neelakantan, M. A.;Poongothai, S.
通讯作者：
Poongothai, S.