Different Levels Of Pollution Research Articles

MANIFESTATION OF PATHOGENIC PROPERTIES IN MARINE BACTERIA UNDER IMPACT OF ANTHROPOGENIC POLLUTION

The article is devoted to the study of biological activity, including pathogenicity factors, of marine bacteria isolated from water in areas with different anthropogenic load, both coastal zones with high levels of different pollutants and pure zones with no human impact. To maintain the experimental integrity, we excluded Enterobacteriaceae from the obtained collection of marine microorganisms. Then we worked with the rest of the isolates for detection of their hydrolytic activity toward organic substrates, antibiotic resistance and such pathogenicity factors as: cytotoxicity, hemolytic activity, plasma coagulase and hyaluronidase activities. Comparative studies of hydrolytic activity in microorganisms isolated from sea water with different anthropogenic load have not revealed any differences in these indicators. However, the strains isolated from water areas with great impact of industrial, domestic and river drains, were highly antibiotic-resistant, highly adhesive and cytotoxic compared to the strains isolated from pure sea water. It is assumed that pollution of marine environment results in manifestation of aggressive properties of microorganisms, as a response to impact of stress factors that is both of general biological, ecological and epidemiological significance.

Inferring pollution states based on community structure of Benthic Macroinvertebrates in streams

Species abundance distributions (SADs) are an efficient means of assessing community structure to define macroecological states and ecological integrity in responding to environmental impacts. Rank abundance distributions of benthic macroinvertebrate communities collected from streams with different levels of pollution in Korea were obtained and used to confirm water quality classification based on empirical assessment. The pollution states were broadly divided into weak and strong pollution groups according to SAD models, log-normal distribution and geometric series, respectively. A lower γ value in the log-normal distribution also differentiated weak pollution from strong pollution. Lower coefficient variation in the SAD slopes was further suitable in dividing less and slightly polluted states within the weak pollution group. Within the strong pollution group, a mixture of log-normal distribution to geometric series separated, polluted and severely polluted states. Higher correlation coefficients were observed between γ and other water quality parameters, as well as community and biological water quality indices. Similar patterns in SADs were presented between spring and fall; however, γ values of the less polluted state differed between seasons. Overall, developing SADs of related parameters is an efficient method of addressing ecological integrity that could serve as a reference system describing anthropogenic impact in streams.

Anthropogenic impact on diazotrophic diversity in the mangrove rhizosphere revealed by nifH pyrosequencing.

Diazotrophs in the mangrove rhizosphere play a major role in providing new nitrogen to the mangrove ecosystem and their composition and activity are strongly influenced by anthropogenic activity and ecological conditions. In this study, the diversity of the diazotroph communities in the rhizosphere sediment of five tropical mangrove sites with different levels of pollution along the north and south coastline of Singapore were studied by pyrosequencing of the nifH gene. Bioinformatics analysis revealed that in all the studied locations, the diazotroph communities comprised mainly of members of the diazotrophic cluster I and cluster III. The detected cluster III diazotrophs, which were composed entirely of sulfate-reducing bacteria, were more abundant in the less polluted locations. The metabolic capacities of these diazotrophs indicate the potential for bioremediation and resiliency of the ecosystem to anthropogenic impact. In heavily polluted locations, the diazotrophic community structures were markedly different and the diversity of species was significantly reduced when compared with those in a pristine location. This, together with the increased abundance of Marinobacterium, which is a bioindicator of pollution, suggests that anthropogenic activity has a negative impact on the genetic diversity of diazotrophs in the mangrove rhizosphere.

Bioavailability and mobility of organic contaminants in soil: new three-step ecotoxicological evaluation.

A novel approach was developed for rapid assessment of bioavailability and potential mobility of contaminants in soil. The response of the same test organism to the organic extract, water extract and solid phase of soil was recorded and compared. This approach was designed to give an initial estimate of the total organic toxicity (response to organic extractable fraction), as well as the mobile (response to water extract) and bioavailable fraction (response to solid phase) of soil samples. Eighteen soil samples with different levels of pollution and content of organic carbon were selected to validate the novel three-step ecotoxicological evaluation approach. All samples were chemically analysed for priority contaminants, including aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), hexachlorocyclohexane (HCH) and dichlordiphenyltrichloroethane (DDT). The ecotoxicological evaluation involved determination of toxicity of the organic, mobile and bioavailable fractions of soil to the test organism, bacterium Bacillus cereus. We found a good correlation between the chemical analysis and the toxicity of organic extract. The low toxicity of water extracts indicated low water solubility, and thus, low potential mobility of toxic contaminants present in the soil samples. The toxicity of the bioavailable fraction was significantly greater than the toxicity of water-soluble (mobile) fraction of the contaminants as deduced from comparing untreated samples and water extracts. The bioavailability of the contaminants decreased with increasing concentrations of organic carbon in evaluated soil samples. In conclusion, the three-step ecotoxicological evaluation utilised in this study can give a quick insight into soil contamination in context with bioavailability and mobility of the contaminants present. This information can be useful for hazard identification and risk assessment of soil-associated contaminants. Graphical Abstract New three-step ecotoxicological evaluation by using the same organism.

Densities and antimicrobial resistance of Escherichia coli isolated from marine waters and beach sands.

Bacterial resistance is a rising problem all over the world. Many studies have showed that beach sands can contain higher concentration of microorganisms and represent a risk to public health. This paper aims to evaluate the densities and resistance to antimicrobials of Escherichia coli strains, isolated from seawater and samples. The hypothesis is that microorganisms show higher densities in contaminated beach sands and more antimicrobial resistance than the water column. Density, distribution, and antimicrobial resistance of bacteria E. coli were evaluate in seawater and sands from two recreational beaches with different levels of pollution. At the beach with higher degree of pollution (Gonzaguinha), water samples presented the highest densities of E. coli; however, higher frequency of resistant strains was observe in wet sand (71.9 %). Resistance to a larger number of antimicrobial groups was observe in water (betalactamics, aminoglycosides, macrolides, rifampicins, and tetracyclines) and sand (betagalactamics and aminoglycosids). In water samples, highest frequencies of resistance were obtain against ampicilin (22.5 %), streptomycin (15.0 %), and rifampicin (15.0 %), while in sand, the highest frequencies were observe in relation to ampicilin (36.25 %) and streptomycin (23.52 %). At the less polluted beach, Ilha Porchat, highest densities of E. coli and higher frequency of resistance were obtain in wet and dry sand (53.7 and 53.8 %, respectively) compared to water (50 %). Antimicrobial resistance in strains isolated from water and sand only occurred against betalactamics (ampicilin and amoxicilin plus clavulanic acid). The frequency and variability of bacterial resistance to antimicrobials in marine recreational waters and sands were related to the degree of fecal contamination in this environment. These results show that water and sands from beaches with a high index of fecal contamination of human origin may be potential sources of contamination by pathogens and contribute to the dissemination of bacterial resistance.

Moving beyond classical markers of water quality: detection of enteric viruses and genotoxicity in water of the Sinos River.

It is well recognized that the classical biological and chemical markers of environmental pollution do not necessarily indicate the presence or absence of emerging threats to public health, such as waterborne viruses and genotoxicants. The purpose of this preliminary study was to evaluate the presence of material of enteroviruses (EV), rotavirus (RV) and adenovirus (AdV) and genotoxicity in water samples from points of routine monitoring of water quality in the main course of the Sinos River. The points are classified into different levels of pollution in accordance to the Brazilian federal regulations. Viral genomes from EV, AdV were detected in two of the 4 collection points regardless of the level of urbanisation of the surrounding areas. In contrast, genotoxicity was not observed in piava (Leporinus obtusidens) fingerlings cultivated on these same water samples. Results were compared with classical physical, chemical and microbiological parameters. There was no clear evidence of association between any of the classical markers and the presence of viral genomes in the water samples tested.

Influence of Long-Term Exposure to Background Pollution on the Response and Recovery of the Invasive Species Corbicula fluminea to Ammonia Sub-lethal Stress: a Multi-marker Approach with Field Estuarine Populations

The influence of long-term exposure to background pollution on the response and recovery of the invasive species Corbicula fluminea to ammonia stress was investigated using a multi-marker approach. Wild clams of the tidal freshwater areas of two estuaries of the NW Iberian coast with different levels of pollution, the estuaries of Minho river (reference) and of Lima river (contaminated), were collected and exposed individually to different treatments: 8 and 14 days in dechlorinated tap water (DTW), 8 and 14 days in 1 mg L−1 of ammonia (AM), and 8 days in AM followed by 6 days in DTW. After each defined time (0, 8, and 14 days), the clams were sacrificed and the activity of the enzymes glutathione S-transferase (GST), catalase (CAT), glutathione reductase (GR), glutathione peroxidase (GPx), cholinesterase (ChE), octopine dehydrogenase (ODH), and the lipid peroxidation (LPO) levels were used as effect criteria. At the beginning of the bioassay, the clams from the polluted estuary presented significantly higher background levels of GST, CAT, GR, GPx, and LPO than those from the reference one indicating long-term exposure to oxidative stressors. In general, C. fluminea from both estuaries presented little sensibility to ammonia with no significant differences found between exposed and control clams for most of the biomarkers. That low sensibility of C. fluminea could be seen as advantageous for its invasion ability.

Use of multivariate statistical techniques for the evaluation of temporal and spatial variations in water quality of the Kaduna River, Nigeria.

Multivariate statistical techniques, such as cluster analysis (CA) and principal component analysis/factor analysis (PCA/FA), were used to investigate the temporal and spatial variations and to interpret large and complex water quality data sets collected from the Kaduna River. Kaduna River is the main tributary of Niger River in Nigeria and represents the common situation of most natural rivers including spatial patterns of pollutants. The water samples were collected monthly for 5 years (2008-2012) from eight sampling stations located along the river. In all samples, 17 parameters of water quality were determined: total dissolved solids (TDS), pH, Thard, dissolved oxygen (DO), 5-day biochemical oxygen demand (BOD5), chemical oxygen demand (COD), NH4-N, Cl, SO4, Ca, Mg, total coliform (TColi), turbidity, electrical conductivity (EC), HCO3 (-), NO3 (-), and temperature (T). Hierarchical CA grouped 12 months into two seasons (dry and wet seasons) and classified eight sampling stations into two groups (low- and high-pollution regions) based on seasonal differences and different levels of pollution, respectively. PCA/FA for each group formed by CA helped to identify spatiotemporal dynamics of water quality in Kaduna River. CA illustrated that water quality progressively deteriorated from headwater to downstream areas. The results of PCA/FA determined that 78.7 % of the total variance in low pollution region was explained by five factor, that is, natural and organic, mineral, microbial, organic, and nutrient, and 87.6 % of total variance in high pollution region was explained by six factors, that is, microbial, organic, mineral, natural, nutrient, and organic. Varifactors obtained from FA indicated that the parameters responsible for water quality variations are resulted from agricultural runoff, natural pollution, domestic, municipal, and industrial wastewater. Mann-Whitney U test results revealed that TDS, pH, DO, T, EC, TColi, turbidity, total hardness (THard), Mg, Ca, NO3 (-), COD, and BOD were identified as significant variables affecting temporal variation in river water, and TDS, EC, and TColi were identified as significant variables affecting spatial variation. In addition, box-whisker plots facilitated and supported multivariate analysis results. This study illustrates the usefulness of multivariate statistical techniques for classification and processing of large and complex data sets of water quality parameters, identification of latent pollution factors/sources and their spatial-temporal variations, and determination of the corresponding significant parameters in river water quality.

Achieving the EU Air Policy Objectives in Due Time: A Reality or a Hoax?

The identification of air pollution as a global problem contributing to health disorders and damage to the environment sparked the development of national legislation as well as international cooperation initiatives to improve air quality. As a result, the introduction of new and tighter air quality standards, national emission ceilings and more environmentally- friendly technologies led to significant progress in reducing the levels of different pollutants in the ambient air. However, notwithstanding the achieved success, the overall damage dealt by air pollution remains high, while further attempts to tackle it are losing their momentum. With no perceptible finish line, the situation could last for decades, claiming hundreds of thousands of lives and billions of Euros outlays annually, thus compromising the very foundation of air policy. The article addresses this problem from the EU perspective.

CHEMICAL ELEMENTS IN SOILS OF UST-KAMENOGORSK

The features of the accumulation of copper, zinc, lead and cadmium in the soil of Ust-Kamenogorsk. Soils of different areas of the city are characterized by different levels of pollution. The maps of the diagram of distribution of chemical elements and their associations in the soils of the city.

CHEMICAL ELEMENTS IN SOILS IN UST-KAMENOGORSK

The features of the accumulation of copper, zinc, lead and cadmium in the soil of Ust-Kamenogorsk. Soils of different areas of the city are characterized by different levels of pollution. The maps of the diagram of distribution of chemical elements and their associations in the soils of the city.

Long-term MAX-DOAS network observations of NO<sub>2</sub> in Russia and Asia (MADRAS) during the period 2007–2012: instrumentation, elucidation of climatology, and comparisons with OMI satellite observations and global model simulations

Abstract. We conducted long-term network observations using standardized Multi-Axis Differential optical absorption spectroscopy (MAX-DOAS) instruments in Russia and ASia (MADRAS) from 2007 onwards and made the first synthetic data analysis. At seven locations (Cape Hedo, Fukue and Yokosuka in Japan, Hefei in China, Gwangju in Korea, and Tomsk and Zvenigorod in Russia) with different levels of pollution, we obtained 80 927 retrievals of tropospheric NO2 vertical column density (TropoNO2VCD) and aerosol optical depth (AOD). In the technique, the optimal estimation of the TropoNO2VCD and its profile was performed using aerosol information derived from O4 absorbances simultaneously observed at 460–490 nm. This large data set was used to analyze NO2 climatology systematically, including temporal variations from the seasonal to the diurnal scale. The results were compared with Ozone Monitoring Instrument (OMI) satellite observations and global model simulations. Two NO2 retrievals of OMI satellite data (NASA ver. 2.1 and Dutch OMI NO2 (DOMINO) ver. 2.0) generally showed close correlations with those derived from MAX-DOAS observations, but had low biases of up to ~50%. The bias was distinct when NO2 was abundantly present near the surface and when the AOD was high, suggesting a possibility of incomplete accounting of NO2 near the surface under relatively high aerosol conditions for the satellite observations. Except for constant biases, the satellite observations showed nearly perfect seasonal agreement with MAX-DOAS observations, suggesting that the analysis of seasonal features of the satellite data were robust. Weekend reduction in the TropoNO2VCD found at Yokosuka and Gwangju was absent at Hefei, implying that the major sources had different weekly variation patterns. While the TropoNO2VCD generally decreased during the midday hours, it increased exceptionally at urban/suburban locations (Yokosuka, Gwangju, and Hefei) during winter. A global chemical transport model, MIROC-ESM-CHEM (Model for Interdisciplinary Research on Climate–Earth System Model–Chemistry), was validated for the first time with respect to background NO2 column densities during summer at Cape Hedo and Fukue in the clean marine atmosphere.

Pollution Analysis and Control of Non-Ferrous Metal Smelting Production

With the development of modern industry, the environmental pollution problem caused by the non-ferrous metal smelting production process has become more and more serious. A lot of poisonous and harmful substances, which discharged in non-ferrous metal smelting process, enter soil via atmospheric deposition, waste residue infiltration and sewage irrigation, causing different levels of pollution of surrounding soil. In the paper, pollution sources, pollution situation and pollution harmfulness are analyzed in detail in non-ferrous metal smelting production process. Some pollution factors are concluded. Finally, some strategies and technology measures for controlling environmental pollution in non-ferrous metal smelting process are discussed.

Indication of airborne pollution by birch and spruce in the vicinity of copper smelter.

The aim of the study was determination of air pollution impact of the copper smelter in Bor and its surroundings (Serbia) by assessing the suitability of birch (Betula pendula Roth.) and spruce (Picea abies L.) for the purposes of biomonitoring and comparing it with previously published data from the same study area. The concentrations of Cu, Zn, Pb and Mn in leaves/needles, branches, roots and soil were determined. Sampling was performed during 2009 in two zones with high load of air pollution due to copper mining and smelting activities, and one background zone. Metal accumulation and translocation was evaluated in terms of biological factors. In addition, plant enrichment factor was calculated. According to the results, plant foliage was not enriched through soil, which indicates absorption from the air, with both species acting as excluders of Cu, Pb, Zn and Mn. Leaves were more enriched with all the metals than needles, indicating a better response of birch to airborne pollution than spruce. Cluster analysis showed different level of pollution at the sites, while correlations between Cu and Pb obtained by Principal Component Analysis indicated their anthropogenic origin. Regarding previously published results, beside birch leaves, pine needles (which showed higher level of response to pollution compared to linden leaves) could be applied in air biomonitoring surveys near copper smelters.

Seasonal Dynamics in Air Quality Index and its Role in Pollution Mapping

Alteration pattern of Air Quality Index with changing seasons, was studied and air monitoring was carried out at different road intersections selected in the trans-Gomti, central and southern regions of the Lucknow city. On the basis of levels of different pollutants in the ambience, the Air Quality Index was calculated to categorize the sites from very clean to polluted range. The air Quality Index data showed that the central region of the city was maximally polluted with auto-exhaust emission, followed by trans-Gomti region, while the southern region was minimally polluted. A marked seasonal variation pattern was also observed in the AQI being maximum in the winter season, followed by summer and the least in the rainy season. With the help of AQI, a pollution map of Lucknow city was prepared for the first time with different colour shades indicating the levels of air pollution in different localities.

Tolerance of benthic macroinvertebrates to organic enrichment in highland streams of northeastern Rio Grande do Sul, Brazil

AIM: the aim of this study was to determine the ecological valence of benthic macroinvertebrates at different pollution levels in highland rivers and streams of Rio Grande do Sul; METHODS: the dataset proceeds from samplings performed between 2002-2011 in 35 lotic ecosystems. The Chemical Index was used to determine pollution levels. Indices of richness and Shannon diversity were applied to characterize the structure of benthic communities. The descriptors used to determine taxa's ecological valence were selected according to Coefficient of Variation and regression analyses. Groups of tolerance were identified using Interquartile range and cluster analysis; RESULTS: Conductivity and Chemical Index were the descriptors best related with diversity of benthic macroinvertebrate community. These metrics were used to determine the tolerance range of 38 taxa. Interquartile range and cluster analysis revealed three groups of taxa, according to their occurrence in different levels of pollution: taxa with narrow amplitudes, present at sites with very low or very high load of organic enrichment; taxa with moderate amplitude, found until moderately polluted sites; and taxa with occurrence in widespread environmental conditions. The results, when compared to other studies in Brazil, showed differences in some taxa's tolerance. This observation indicates the need to assess the bioindication potential of these taxa in genus and species level; CONCLUSION: the present study contributes to increase knowledge about the bioindicator potential of benthic macroinvertebrates. Therefore, the study supports an advanced biomonitoring of ecological quality in mountain streams of southern Brazil.

Short-term exposure to high levels of air pollution as a risk factor for acute isolated pulmonary embolism

BackgroundThe association between air pollution exposure and occurrence of venous thromboembolism is a matter of debate. This retrospective case-control study investigated the associations between one month’s exposure to elevated levels of different pollutants (i.e. PM10, CO, NOx, O3, SO2, Benzene, Benzoapyrene, Nickel, Lead Arsenic) and the development of acute isolated pulmonary embolism (PE). MethodsThe cases included 33 patients consecutively admitted to Padua Hospital with an objectively proven diagnosis of acute unprovoked (i.e. without predisposing conditions) isolated (i.e. without deep vein thrombosis) PE. The control group consisted of 72 consecutive patients with objectively proven acute provoked (i.e. associated to predisposing conditions) isolated PE. Average mean concentrations of pollutants in the month before PE diagnosis were computed by monitors located at 2 different sites throughout the city of Padua, and were obtained from the Regional Agency for Environmental Protection. ResultsIndividuals who had PM10, NOx, Benzene, Benzoapyrene, Cadmium, and Lead exposure equal/above the 2nd tertile, measured in controls, showed a significant increase in the risk of unprovoked PE. In case of PM10 and Benzoapyrene this risk was not affected after adjustment for possible confounders. In fact, in the multivariate logistic regression analysis, the OR values were 5.24 (95% CI: 1.52-18.12) for PM10 and 3.95 (95% CI: 1.06-14.71) for Benzoapyrene exposure in the month before PE diagnosis. ConclusionsOur results, although preliminary, identify short-term (i.e. one month) exposure to elevate levels of air pollutants as a possible risk factor for the development of acute isolated PE. Larger studies are needed to confirm our results.

Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign

Abstract. In this study, we investigate the ability of the chemistry transport model (CTM) Polair3D of the air quality modelling platform Polyphemus to simulate lidar backscattered profiles from model aerosol concentration outputs. This investigation is an important preprocessing stage of data assimilation (validation of the observation operator). To do so, simulated lidar signals are compared to hourly lidar observations performed during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation) summer experiment in July 2009, when a ground-based mobile lidar was deployed around Paris on-board a van. The comparison is performed for six different measurement days, 1, 4, 16, 21, 26 and 29 July 2009, corresponding to different levels of pollution and different atmospheric conditions. Overall, Polyphemus well reproduces the vertical distribution of lidar signals and their temporal variability, especially for 1, 16, 26 and 29 July 2009. Discrepancies on 4 and 21 July 2009 are due to high-altitude aerosol layers, which are not well modelled. In the second part of this study, two new algorithms for assimilating lidar observations based on the optimal interpolation method are presented. One algorithm analyses PM10 (particulate matter with diameter less than 10 μm) concentrations. Another analyses PM2.5 (particulate matter with diameter less than 2.5 μm) and PM2.5–10 (particulate matter with a diameter higher than 2.5 μm and lower than 10 μm) concentrations separately. The aerosol simulations without and with lidar data assimilation (DA) are evaluated using the Airparif (a regional operational network in charge of air quality survey around the Paris area) database to demonstrate the feasibility and usefulness of assimilating lidar profiles for aerosol forecasts. The evaluation shows that lidar DA is more efficient at correcting PM10 than PM2.5, probably because PM2.5 is better modelled than PM10. Furthermore, the algorithm which analyses both PM2.5and PM2.5–10 provides the best scores for PM10. The averaged root-mean-square error (RMSE) of PM10 is 11.63 μg m−3 with DA (PM2.5 and PM2.5–10), compared to 13.69 μg m−3 with DA (PM10) and 17.74 μg m−3 without DA on 1 July 2009. The averaged RMSE of PM10 is 4.73 μg m−3 with DA (PM2.5 and PM2.5–10), against 6.08 μg m−3 with DA (PM10) and 6.67 μg m−3 without DA on 26 July 2009.

Rapeseed pellet - a byproduct of biodiesel production - as an excellent renewable energy source / Wytłoki rzepakowe - produkt uboczny w produkcji biodiesla - jako doskonałe źródło energii odnawialnej

Abstract Vegetable oils are renewable feedstock currently being used for production of biofuels from sustainable biomass resources. The existing technology for producing diesel fuel from plant oils, such as rapeseed, soybean, canola and palm oil are largely centered on transesterification of oils with methanol to produce fatty acid methyl esters (FAME) or biodiesel. Rapeseed pellet - crushed seed residue from oil extraction is a byproduct of biodiesel production process. As other types of biomass, it can either be burned directly in furnaces or processed to increase its energetic value. The interest to use different types of biomass as fuels has grown rapidly during the last years as a mean to reduce the CO2 emissions of energy production. Biomass is renewable, abundant and has domestic usage, the sources of biomass can help the world reduce its dependence on petroleum products and natural gas. Energetically effective utilization of rapeseed pellet could substantially improve the economic balance of an individual household in which biodiesel for fulfilling the producer’s own energetic demand is obtained. In this article the experimental results of analyzing the emissions levels of different pollutants in exhaust fumes during different stages of biomass boiler operation were presented. It has been proved that that the pellet, a byproduct of biodiesel production, is an excellent renewable and environmentally-friendly energy source, especially viable for use in household tap water heating installations.

Water Quality Assessment of Some Freshwater Bodies Supporting Vegetation in and Around Chandigarh (India), Using Multivariate Statistical Methods

An increasing trend in water pollution of freshwater bodies through anthropogenic means is evident, and its impact is turning freshwater unsuitable for human consumption. In addition to physicochemical nature of such water, presence of the type of vegetation has been significant in labeling such bodies for different levels of pollution. Physicochemical parameters include important criteria like temperature, free carbon dioxide (CO2), turbidity, total alkalinity, electrical conductivity, nitrate etc., which provide an idea for the portability of water for irrigation and drinking purposes. In this investigation, eight water bodies (76∘46′45.96″ E, 30∘44′01.19″ N) have been studied and categorized into different water quality indices as per permissible limits of WHO, ICMR, and ISI standards. The values of water quality index (WQI) at water bodies (ponds) S1–S8 were 46.12, 56.90, 79.96, 103.31, 120.39, 14.53, 29.47, and 30.58 respectively, which clearly indicated anthropogenic activities to different levels. The water bodies S1–S5 could be categorized as “D–E”, and water at S6–S8 as “A–B” as per Central Pollution Control Board (CPCB) guidelines. Principal component analysis (PCA) has been applied to classify the water bodies into four different categories which produced the same results as WQI. Agglomerative cluster analysis (CA) was performed for delineating and grouping the similar pollution causing areas. The parameters like free CO2, turbidity, total alkalinity, electrical conductivity and TDS were higher in Eichhornia crassipes infested water bodies than the one supporting growth of a stonewort (Chara corallina). Management strategies to save water from deterioration should be focused accordingly, keeping in view this information gathered.