Cooum River Research Articles

Microplastics in water from the Cooum River, Chennai, India: An assessment of their distribution, composition, and environmental impact

Microplastics in water from the Cooum River, Chennai, India: An assessment of their distribution, composition, and environmental impact

Appraisal of groundwater suitability for drinking and irrigation utilities in the Cooum River basin, South India: Implications from uranium, nitrate, and fluoride health risks

The study reveals that 6% of groundwater samples exceed the WHO's recommended fluoride limit of 1.5 mg/L, and 15% surpass the nitrate standard of 45 mg/L, rendering the water unsuitable for drinking. Gibbs plot analysis identifies evaporation as the dominant factor affecting groundwater chemistry, while the Piper diagram classifies the water into mixed Ca–Mg–Cl and NaCl types, indicating natural processes and potential seawater intrusion. Cation exchange processes are observed in 75.5% of samples, as shown by Schoeller's indices. The hydrochemical facies evolution suggests freshening from recharge in most samples, with signs of salinity intrusion in others. Between 2010 and 2023, land use and land cover (LULC) changes show a significant increase in built-up areas, resulting in reduced groundwater recharge and heightened pollution risks. The classification accuracy is high, with an overall accuracy of 82.20% and a Kappa coefficient of 83.06%. Water Quality Index (WQI) assessment reveals that 47% of the groundwater samples are excellent for drinking, while 20.6% are suitable. Although 80% of the groundwater remains appropriate for agriculture, the study highlights the need for targeted groundwater management to address urbanization impacts and mitigate health risks from elevated nitrate ingestion, particularly for vulnerable populations such as children.

Genome analysis of triple phages that curtails MDR E. coli with ML based host receptor prediction and its evaluation

Infections by multidrug resistant bacteria (MDR) are becoming increasingly difficult to treat and alternative approaches like phage therapy, which is unhindered by drug resistance, are urgently needed to tackle MDR bacterial infections. During phage therapy phage cocktails targeting different receptors are likely to be more effective than monophages. In the present study, phages targeting carbapenem resistant clinical isolate of E. coli U1007 was isolated from Ganges River (U1G), Cooum River (CR) and Hospital waste water (M). Capsid architecture discerned using TEM identified the phage families as Podoviridae for U1G, Myoviridae for CR and Siphoviridae for M phage. Genome sequencing showed the phage genomes varied in size U1G (73,275 bp) CR (45,236 bp) and M (45,294 bp). All three genomes lacked genes encoding tRNA sequence, antibiotic resistant or virulent genes. A machine learning (ML) based multi-class classification model using Random Forest, Logistic Regression, and Decision Tree were employed to predict the host receptor targeted by receptor binding protein of all 3 phages and the best performing algorithm Random Forest predicted LPS O antigen, LamB or OmpC for U1G; FhuA, OmpC for CR phage; and FhuA, LamB, TonB or OmpF for the M phage. OmpC was validated as receptor for U1G by physiological experiments. In vivo intramuscular infection study in zebrafish showed that cocktail of dual phages (U1G + M) along with colsitin resulted in a significant 3.5 log decline in cell counts. Our study highlights the potential of ML tool to predict host receptor and proves the utility of phage cocktail to restrict E. coli U1007 in vivo.

Air-water exchange and risk assessment of phthalic acid esters during the early phase of COVID-19 pandemic in tropical riverine catchments of India

Given the increased load of waste plastic in the solid waste stream after the outbreak of the COVID-19 pandemic, we investigated the fate of selected plastic additives along open burning dumps, industrial and residential transects in tropical riverine catchments of India. Polyurethane foam disk passive air samples, surface water and community stored water (CSW) samples were collected along the Adyar River (AR), Cooum River (CR) and canals in Chennai and Daman Ganga River (DG) in Vapi. Among the quantified phthalic acid esters (PAEs), a widely used plastic additive, di(2-ethylhexyl) phthalate (DEHP), was ubiquitous across all the transects. More open drains and leaching of littered single-use plastic items can be the reason for significantly higher (p < 0.05) levels of PAEs in CR over other rivers with a dominance of di-n-butyl phthalate (DnBP). Prevalence of open burning of dumped plastic waste was the possible primary emission source of PAEs in these riverine catchments. Excluding highly soluble dimethyl phthalate (DMP), air-water exchange processes reflected the secondary emission of all the PAEs from the surface water along the open burning sites. Despite the cleansing effect of the oceanic air mass from the Bay of Bengal and the Indian Ocean, the average atmospheric PAE level was two-fold higher in Chennai than Vapi. Even though Vapi is a coastal city along the Arabian Sea, it was impacted by inland air masses during the sampling event. Open burning dumpsites showed a five-fold increase in atmospheric priority PAEs in Chennai city after the outbreak of the COVID-19 pandemic. DnBP was the major contributor to estrogenicity in CSW and DG, and also posed maximum risk for fishes in the open burning transect of these tropical rivers.

Heavy metal pollution of river water and eco-friendly remediation using potent microalgal species

Pollution of rivers is mainly caused by anthropogenic activities such as discharge of effluent from industrial facilities, maintenance of sewage/effluent treatment plants, and dumping of solid waste on river banks. This study dealt with the pollution issues of the Cooum River in the well-known city of Chennai in South India. Water samples from 27 locations were collected and analyzed for 12 elements, including Ba, B, and Al, as well as heavy metals such as Pb, Cr, Mn, Fe, Co, Ni, Cu, Zn, and Cd. The samples showed levels of these elements that exceeded World Health Organization recommendations. Pearson correlation analysis revealed the inter-dependency among elements, and the contribution of each element based on factor loadings showed its percentage contribution compared to others. Water samples from six significant locations were chosen for remediation with three algae: Chlorella vulgaris, Scenedesmus dimorphus, and Phormedium sp. The uptake of pollutants led to the continuous growth of algae during the incubation period of 15 d, effectively removing heavy metals from the river water. The increasing levels of algal counts and the chlorophyll a content confirmed the algal growth during the incubation period, followed by a declining stage after the incubation period. The scanning electron microscopic images of algae before and after the remediation showed no remarkable modification of morphological patterns. This study showed that the uptake of heavy metals using algae is an effective water pollution remediation measure, making the process practicable in the field on a large scale in the near future.

In vitro and In silico analysis of heavy metal-resistant bacteria from cooum river for bioremediation approaches

In vitro and In silico analysis of heavy metal-resistant bacteria from cooum river for bioremediation approaches

Contemporary Contamination of Urban Floodplains in Chennai (India)

Fast growing coastal population centers face an increasing vulnerability to several emission sources of anthropogenic and industrial pollutants. The ongoing industrialization in emerging countries increases the environmental and human risk for people living in coastal megacities, especially in the global south of Asia. Extreme weather events, such as heavy rainfalls and resulting flood events, are projected to increase in frequency in the foreseen future, facing an increasing vulnerability to monsoon-induced floods and the release and distribution of xenobiotics causing harm to communities and the environment along a river’s pathway. To endeavor the unknown risks posed by these toxic floods and to assess the associated contamination distribution, the preserved organic geochemical signature from floodplain sediments is studied.This investigation evaluates the inorganic and organic pollutant assemblage in ten surface sediments along the Adyar and Cooum river in the urban areas of Chennai (southern India). Potentially toxic elements (Cr, Ni, Cu, Zn, Pb) show a continuous concentration decrease downstream. Four main groups of persistent organic pollutants have been detected: petrogenic pollutants (hopanes, PAHs), urban wastewater pollutants (LABs, DEHA, methyl-triclosan, octocrylene), technical compounds (Mesamoll®, DPE, NBFA), and pesticides (DDX). While most organic compounds show source specific properties, the definite sources for others remain vague based on the multitude of potential sources and diffusiveness of anthropogenic emissions. The chosen approaches have shown that urban wastewater pollutants and several technical compounds are suitable to assess the anthropogenic-induced contamination in floodplain sediments. However, sedimentary archives in fast-growing, urbanized environments are influenced and superimposed by anthropogenic alterations.

Legacy and new chlorinated persistent organic pollutants in the rivers of south India: Occurrences, sources, variations before and after the outbreak of the COVID-19 pandemic

During pre-pandemic time, organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) were investigated in the surface water of Periyar River (PR) and Bharathappuzha River (BR) in Ernakulam and Malappuram districts of Kerala, respectively and Adyar River (AR) and Cooum River (CR) in Chennai district of Tamil Nadu. After the outbreak of COVID-19 pandemic, variation in OCPs and PCBs were evaluated for AR and CR. Dominance of β-HCH and γ-HCH in south Indian rivers indicate historical use of technical HCH and ongoing use of Lindane, respectively. In > 90 % sites, p,p′-DDT/ p,p′-DDE ratio was < 1, indicating past DDT usage. However during the outbreak of the COVID-19 pandemic, elevated p,p′-DDT in AR and CR reflects localized use of DDT possibly for vector control. Similarly, during the first wave of pandemic, over a 100-fold increase in PCB−52 in these rivers of Chennai mostly via surface run-off and atmospheric deposition can be reasoned with open burning of dumped waste including added waste plastic in the solid waste stream. On contrary, a significant (p < 0.05) decline of dioxin-like PCBs level, suggests lesser combustion related activities by the formal and informal industrial sectors after the lockdown phase in Tamil Nadu. Eco-toxicological risk assessment indicated a higher risk for edible fish in PR due to endosulfan.

Comparative Study of Organic Coagulants in Water Treatment

A comparative study of various organic coagulants for the treatment of surface water is presented in this paper. Organic coagulants like Banana pith (Musa), seeds of Tulsi (Ocimum sanctum), Acorn (Quercus), Drumstick (Moringa oleifera), Clearing nut (Strychnos Potatorum) are studied. The water samples are collected from two places like Cooum River in Thiruvallur and Puzhal Lake in Chennai. This study also involves removing undesirable physical, chemical and biological contaminants from the water. The physical and chemical characteristics of the river water were studied initially. The seeds of Tulsi, Acorn, Drumstick, Clearing nut and pith of banana were powdered to get the seed extracts. Experiments were performed with the seed extracts to evaluate the effects on turbidity, pH, Total dissolved solids, chloride and sulphate concentration and hardness of the river water. All the water samples were analysed and tested in laboratory. The initial turbidity of Cooum river is 38.4NTU and that of Puzhal lake is 84.8NTU. The turbidities of the water samples were reduced to 6.1NTU and 10.9NTU. The organic coagulants were the most efficient expressing the highest coagulation activities, around 75%.

Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments

Predicting the onset times of precipitation over densely populated cities for the purposes of timely evacuation is a challenge. This paper explored a flooding event over an urban built environment in a South Asian mega city, Chennai, where extant urban planning models rely on predicted rainwater amounts for early warning and impact assessment studies. However, the time duration of flooding events is related to the nature of the urban sprawl in the built environment. Any evacuation measure is invariably tied down to the time duration over which the precipitation event occurs, and therefore to the expected time of a precipitation event to begin. In this context, a crucial parameter useful to municipal authorities is the onset time of precipitation. This study used optimised analytical formulations to predict this time, and the derived analytical expressions for the case study yielded comparable times estimated from a computer-intensive full-scale large eddy model within an accuracy of 2%. It is suggested that municipal authorities (who are non-experts in fluid mechanics) use this early prediction for the purposes of quick alerts to a congested city’s most vulnerable citizens within urban sprawls. However, for the procedure to work at its best, it involves a two-stage procedure. The first step involves the use of a parcel model to obtain the expected cloud droplet spectral spreads based on the prevailing dynamical characterisations. The second step involves an optimisation procedure involving cloud spectral properties from the first step to quantify both the auto-conversion rates and the threshold. Thereafter, an onset time calculation based on cloud properties is estimated. These new results are cast in closed form for easy incorporation into meteorological applications over a variety of urban scales. Rain mass amounts were also predicted analytically and used to configure Aeronautical Reconnaissance Coverage Geographic Information System (ARCGIS) to compute low drainage flow rates over the vulnerable parts of Chennai city. It was found that heavy precipitation over the North Chennai region yielded discharge rates to the tune of ~250 m3s−1 during a 24 h period, causing intense flooding in the low-lying areas around the Cooum River basin with a large population density, with estimates sufficiently corroborating observations.

Structural, functional, resistome and pathogenicity profiling of the Cooum river

The microbial community's structure and functions determine the health, quality, and anthropogenic conditions of the river ecosystems. The presence of Bacteria such as Arcobacter spp, Escherichia spp, and Campylobacters spp, have been shown to reflect the poor water quality of rivers. Apprehension of the microbial community in polluted water bodies is significant because it affects human health and the environment. Culture-independent metagenomic and metatranscriptomic approaches employed in the current study of the Cooum river unraveled the taxonomic classification of diverse microbes, including archaea, bacteria, viruses, and phages. The presence of abundant Macellibacteroides fermentans, Arcobacter bivolvorium, Arcobacter butzleri, Methanothrix soenhngeii, and Bacteroides graminisolvens were noted. Viruses and phages like Caudovirales, Human mastadenovirus C, Siphoviridae, Escherichia phage, Erwinia phage, Synechoccus phage, and Vibrio phage were relatively predominant. Various metabolic pathways like methane, sulfur, and nitrogen metabolism adopted by the microbiome confer dangerous gases. Mechanisms such as secretory systems, signal transduction, Chemotaxis, quorum sensing, transportation of chemicals and ions were significantly enriched. The microbes expressed antimicrobial resistance mechanisms as identified from the genes encoding beta-lactamase enzymes and aminoglycoside phosphotransferase enzymes. Metal resistance mechanisms against copper, tellurium, chromium, and cadmium were plentiful. Presence of human pathogens interactions with Yersinia pestis, Campylobacter jejuni, Escherichia coli, Helicobacter pylori, and Francisella tularensis subsp. tularensis suggested the possibilities of transmission of pathogenesis to humans. The current study is the first to apprehend the detailed microbiome composition of one of the highly polluted rivers in South India. The study elaborated the microbiome's structure, functions, and metabolic potential at a specific site of the polluted river.

Micro plastic Pollution in Coastal Water and Beach Sediments at Adyar and Cooum River Estuaries in Chennai Coast

Plastics having number of applications all over the world and its great usage lead to rapid increase in plastic production and disposal. Around 400 million tons of plastics produced per year worldwide, out of this only 18% of plastics recycled that has led to its poor disposal practice because discharged plastics overcome in the environment for several 100 years either in their original or fragmented form. The fragmentation of particles are caused by several factors like wind currents, wave currents, abrasions etc., leading to various sizes which are classified as macro- (≥25mm), meso-(&lt;25mm–5mm) micro- (&lt;5mm–1μm) and further Nano-plastics (&lt;1μm).This study manly focusses on quantification of Micro plastics which can be identified in different shapes such as spherical beads (pellets), films, fragments, foam, fibers etc., and are generally composed of polyethylene (0.91-0.97 g/mL), polypropylene (0.94 g/mL), polyvinyl chloride (1.4 g/mL), and polystyrene (1.05 g/mL). For this analysis of micro plastic existence, the water samples have been collected from two locations such as Adyar and Cooum estuaries. 10 samples have been collected each location and carried over to the laboratory for FTIR- Spectrometer (Fourier Transform Infrared Spectrometer) analysis along with the protocol laid by the NOAA. Typical infrared spectrum covers between 2.5 µm to 25 µm (4000 to 400 ).

Nationwide distribution and potential risk of bisphenol analogues in Indian waters.

Bisphenol A (BPA) has been frequently found in surface waters worldwide, and its estrogenic effects in humans are well documented. Nevertheless, less is known about other bisphenol analogues (BPs), such as bisphenol S (BPS) and bisphenol F (BPF) which are alternative to BPA. There have been few environmental investigations on BPs in developing countries, especially India. In the present study, eight BPs were analyzed, among which BPA, BPS, and BPF were found prevalent in surface water and wastewater from drains collected from 12 states and Delhi-National Capital Territory in India. The detection frequencies of BPA, BPS, and BPF were 67.6%, 41.9%, and 29.7%, respectively in all samples (n=74). BPA was the predominant species among the three analogues. The highest BPA concentration was observed in the Yamuna River (14,800ng/L), followed by the Cooum River (1,420ng/L). The highest concentrations of BPS and BPF were 438ng/L and 333ng/L, respectively, both found in wastewater samples. The occurrence of BPS and BPF in nationwide surface water and wastewater samples from India for the first time suggests that new BPs as BPA replacements are being used and released in India. Ecological risk assessment of BPA, BPS and BPF exposure was performed using hazard quotient (HQ) for three aquatic taxonomic groups: algae, crustaceans, and fish, with the last group exhibiting the highest HQs (0.89-148) for BPA exposure. The human exposure risk of BPA through drinking river water was observed negligible in the present study. Our findings indicate the urgent need for, (1) regulations on the use and release of BPs in India, (2) effective processes to remove BPs in wastewater treatment plants, (3) more investigations on the distribution and toxicity of BPs in India, in particular BPA, BPS and BPF, as these analogues were detected at substantial concentration in Indian waters.

Distribution of Metal Contamination and Risk Indices Assessment of Surface Sediments from Cooum River, Chennai, India

Rivers are the mostly vulnerable water bodies due to carrying off and assimilating pollutants from both point sources and non-point sources. This study deals with the metal pollution in sediments of the Cooum River, Chennai, India. Eleven sampling stations were selected along the 18 km stretch of the Cooum River, which lies in the urban part of the Chennai City and the concentration of metals such as As, Zn, Mn, Ni, Co, Cr, Cu, Pb, Cd, and Hg in the sediments were determined. The study reveals a progressive increase in the concentration of metals in the downstream due to increase in domestic and industrial drainage (out falls) into the river. Spatial distribution of sediment particle size indicated the dominance of smaller particles ranging from 425 to 75 µm. The concentration of metals in the Cooum River sediments was in the following order: As > Zn > Cr > Cu > Pb > Cd > Hg. Significant positive correlations exist between Cd and Zn, Cu and Pb, Cd and Hg, and Cr and Hg. Ecological risk indices denote predominant levels (> 70%) of cadmium throughout the sampling points as indicated from contamination factor. Potential ecological risk assessment specified the alarming levels of cadmium and mercury above the standard limits in the sediments assessed. Based on the observations, it is evident that the Cooum River is highly polluted and it becomes essential that the urban effluents should not be overlooked before their discharge into the river.

Characterization of some naphthalene using bacteria isolated from contaminated Cooum Riverine sediment of the Bay of Bengal (India)

Microorganisms capable of using naphthalene as the sole carbon source were isolated from the contaminated sediment of Cooum River. Twenty one isolates were recovered and nine were selected for enrichment due to differences in their morphological characteristics. Out of nine isolates, only four (NS3-SRMND14B, NS14-SRMND14A, NS15-SRMND14D and NS19- -SRMND14E) were capable of completely utilizing naphthalene as the sole source of carbon in carbon free minimal medium (CFMM) supplemented with naphthalene. 16S rDNA sequencing showed that all the four isolates were distantly related to each other and belongs to Bacillus sp. (NS3-SRMND14B), Pseudomonas sp. (NS14-SRMND14A), Cellulosimicrobium sp. (NS15-SRMND14D) and Sphingobacterium sp. (NS19-SRMND14E), respectively. Based on the phylogenetic analysis of 16S rDNA sequencing, the isolate Sphingobacterium sp. (NS19-SRMND14E) has been identified as novel strain. Polymerase chain reaction (PCR) technique showed the presence of naphthalene dioxygenase (ndo) gene responsible for naphthalene degradation only in the Pseudomonas sp. (NS14-SRMND14A). We observed that the ndo gene is not the only gene responsible for naphthalene degradation. Based on our study, the indigenous microorganisms isolated from Cooum Riverine sediment can be used for bioremediation of the polluted sediment along the Bay of Bengal.

Hydrological Modelling of Cooum River Basin using GIS and SWAT Model

Hydrological Modelling of Cooum River Basin using GIS and SWAT Model

Assessment of Seasonal Variations in Surface Water Quality of Cooum River in Chennai, India – A Statistical Approach

&lt;div&gt; &lt;p&gt;Rapid development in industrial sectors and population expansion has adverse impact on the &lt;em&gt;Cooum &lt;/em&gt;river basin, especially Chennai region. The present study focuses on the assessment of seasonal variation in surface water quality of &lt;em&gt;Cooum &lt;/em&gt;river basin. The samples were collected seasonally and are categorized as pre-monsoon, monsoon and post-monsoon during March 2013 to March 2014. Eighteen physicochemical parameters were assessed for eleven different samples collected along the channel of C&lt;em&gt;ooum&lt;/em&gt; river basin. Statistical tools such as correlation analysis scatter plots, box plot and multivariate tools such as cluster analysis and principal component analysis were applied to categorize the &lt;em&gt;Cooum&lt;/em&gt; river water quality. From the data sets, the ionic concentration, organic loads exhibits positive correlation (R&lt;sup&gt;2&lt;/sup&gt;&amp;gt;0.7) for all three seasons. Also, box plot and scatter plot results revealed that during post-monsoon season the ionic concentration along with organic and inorganic levels were slightly higher than monsoon and pre-monsoon. Similarly, multivariate statistical tools such as principle component analysis (PCA) indicate that the ionic concentrations and organic load contributed more than 50% of variance while cluster analysis (CA) reveals that nature of pollutant load among the sites.&lt;/p&gt; &lt;/div&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Spatio-temporal distribution, source, and genotoxic potential of polycyclic aromatic hydrocarbons in estuarine and riverine sediments from southern India

In order to categorize the distribution, source, and effects of polycyclic aromatic hydrocarbons (PAHs) in aquatic systems of southern India, chemical and toxicological analyses were performed on surface and core sediments, collected from Adyar river, Cooum river, Ennore estuary, and Pulicat lake near Chennai city. The total PAH concentration in surface sediment ranged from 13 to 31,425ng/g with a mean value of 4320ng/g; the concentration was markedly higher in Cooum river compared to that at other sites. The historical PAH dissemination in core samples in the Cooum river, Ennore estuary, and Pulicat lake ranged from 30 to 31,425ng/g, from 8.6 to 910ng/g, and from 62 to 546ng/g, respectively. Surface sediments were predominantly contaminated with low molecular weight (LMW) PAHs. Historical profiles suggest that PAH contamination in the area is now greater than it had been in the past. PAH accumulation in Pulicat lake was distinct from that at other locations where high molecular weight (HMW) PAHs were predominant. DNA damage in HepG2 cells treated with sediment extracts from different locations showed a good correlation with their respective total PAH levels. Statistical analysis revealed that 3-ring and 4-ring PAHs may synergistically contribute to the genotoxic potency compared to others in sediments. The study also showed that a majority of PAHs in the study area indicated a petrogenic origin. Based on the enrichment and toxicological assessment of PAHs in sediments, Cooum river was shown to suffer the highest biological impairment among the studied water bodies.

Analysis and Reuse of Ground Water Near Cooum River

Analysis and Reuse of Ground Water Near Cooum River

Assessment of Seasonal Disparity on Hydrogeochemical Facies Distribution in Cooum River, India

Assessment of Seasonal Disparity on Hydrogeochemical Facies Distribution in Cooum River, India