Multivariate Statistical Analysis of pollutants in Ennore creek, South-East coast of India.

doi:10.30955/gnj.001669

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The Chennai coast is characterized by a semi-diurnal tide with a maximum ∼1.2 m tidal range (Mishra et al, 2015). The mixing and sediment transport phenomena are highly dependent on tidal ebbing and flooding conditions (Kalaivani and Krishnaveni, 2015). Sediment transport is northerly from April to October and southerly from November to March.…”

Section: Study Areamentioning

confidence: 99%

Assessment of Water Quality Along the Southeast Coast of India During COVID-19 Lockdown

et al. 2021

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The COVID-19 pandemic has affected the entire world and has had a devastating impact on both lives and livelihoods in India. The only way to defeat the rapid spread of COVID-19, is to shut down socio-economic activities and to maintain minimal human interaction with the implementation of a lockdown. Such lockdowns have manifested in a pollution curtailment in almost all spheres of the planet, including in marine pollution. Quantifying this decrease in pollution levels enables the scientific community to assess the contribution of anthropogenic (especially non-essential) activities to global/regional pollution levels. This paper aims to study the impact of the stringent lockdown period (phase 1 and 2) on coastal water quality along the Chennai coast of India, by analyzing suspended matter concentration (SPM), a key element of water quality and diffuse attenuation coefficient, Kd(490), using LANDSAT-8 Operational Land Imager (OLI) data. LANDSAT-8/OLI, L1TP scenes were subjected to radiometric calibration and atmospheric correction to derive surface reflectance values from raw digital numbers using ACOLITE software and a brief insight has been given for the Dark Spectrum Fitting algorithm used in ACOLITE. SPM concentration decreased by 15.48 and 37.50% in the Chennai and Ennore ports, respectively, due to minimal vessel movement and cargo handling. The stringent lockdown led to the operation of fewer thermal plant units, thus less fly ash was emanated, resulting in a 28.05% reduction in SPM levels over Ennore creek. As industrial and commercial activities subsided, the city’s water bodies became clearer than they were just a fortnight prior to the lockdown, with a reduction of 22.26% of SPM in Adyar and 33.97% in Cooum riverine estuaries. Decrease in Kd(490) showed a positive relationship with SPM and thus improved coastal water quality because of the reduction of SPM during this period. The variations in PM2.5 and PM10 concentrations were studied using National Air Quality Monitoring Programme (NAMP) data and reduced levels in particulate matter concentration (PM2.5 and PM10) for the Adyar residential area (24.38 and 28.43%) and for the Nungampakkam commercial area (36.09 and 67.18%) were observed. A significant reduction in PM2.5 concentration (45.63%) was observed in the Ennore-Manali Industrial region.

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Section: Study Areamentioning

confidence: 99%

Assessment of Water Quality Along the Southeast Coast of India During COVID-19 Lockdown

et al. 2021

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“…Cluster analysis was used to classify areas with similar changes in groundwater quality and group similar sampling locations based on water quality characteristics. A dendogram in cluster analysis is a useful graphical tool that helps in deciding the number of clusters [43]. The dendogram of the hierarchical cluster analysis presented in Fig.…”

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confidence: 99%

Pollution status and pollution source identification in the groundwater of Yar-Dalla in Wudil, Kano, Nigeria

Onoyima,

Onoyima

2023

Eureka: LS

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The recent increase in population growth and industrialization has resulted in higher pollution loads in the environment including the groundwater, which is a vital freshwater resource. Water Quality Index (WQI) was used to assess the water quality of the study area, while multivariate statistical techniques, including Principal Component Analysis (PCA) and Cluster Analysis (CA), were used to identify possible sources of the pollutants. The results of the descriptive statistics show that pH, Chloride, Alkalinity, Nitrate, and Cu are within the WHO standard for drinking water in all the water samples, while Cl-, Cd, Cr, and Pb exceeded the allowable standard in 20 %, 30 %, 10 %, and 40 % respectively of the water samples. CA group sample locations into three distinct clusters: C1 (A, B, E, G, F, and H), C2 (C, J, and I), and C3 (D). C1 has the highest anthropogenic influence followed by C2, while C3 has the least. WQI shows that C1 is in the extremely poor class (WQI>100), C2 is in the poor class (51<WQI<75), and C3 is in the good class (26<WQI<50). The PCA yielded 3 components which explained 72.98 % of the total variance in the data set. The first Component accounts for 38.85 %. Component 2 accounts for 19.76 % of the total variance while Component 3 accounts for 14.37 % of the total variance. The groundwater of the area is mainly impacted by anthropogenic factors such as agricultural activities, domestic waste, and vehicular/traffic input

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Boron contamination in groundwater at a sewage waste disposal facility near Jeddah, Saudi Arabia

Rehman

Cheema

2017

Environ Earth Sci

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Multivariate Statistical Analysis of pollutants in Ennore creek, South-East coast of India.

Cited by 5 publications

References 7 publications

Assessment of Water Quality Along the Southeast Coast of India During COVID-19 Lockdown

Assessment of Water Quality Along the Southeast Coast of India During COVID-19 Lockdown

Pollution status and pollution source identification in the groundwater of Yar-Dalla in Wudil, Kano, Nigeria

Boron contamination in groundwater at a sewage waste disposal facility near Jeddah, Saudi Arabia

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