Dataset Information

Data on application of water quality index method for appraisal of water quality in around cement industrial corridor, Yerraguntla Mandal, Y.S.R District, A.P South India.

ABSTRACT: The present paper aims at determining the status and trends of groundwater quality by applying water quality index method from 22 villages around Cement industries, Yerraguntla Mandal, Y.S.R District, A. P South India. Water Quality Index (WQI) was calculated from fourteen physicochemical parameters like pH, EC, TDS, Total hardness, Total alkalinity, Sodium, potassium, Calcium, Magnesium, chloride, Bromide, nitrate, sulphate and fluoride. The computed WQI values range from 123 to 1121 and water quality varies from poor water to water unsuitable for drinking. Most of the groundwater from this place is not suitable for drinking.

SUBMITTER: Suvarna B

PROVIDER: S-EPMC6906730 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Data on application of water quality index method for appraisal of water quality in around cement industrial corridor, Yerraguntla Mandal, Y.S.R District, A.P South India.

Suvarna B B Sudharshan Reddy Y Y Sunitha V V Reddy B Muralidhara BM Prasad M M Reddy M Ramakrishna MR

Data in brief 20191123

The present paper aims at determining the status and trends of groundwater quality by applying water quality index method from 22 villages around Cement industries, Yerraguntla Mandal, Y.S.R District, A. P South India. Water Quality Index (WQI) was calculated from fourteen physicochemical parameters like pH, EC, TDS, Total hardness, Total alkalinity, Sodium, potassium, Calcium, Magnesium, chloride, Bromide, nitrate, sulphate and fluoride. The computed WQI values range from 123 to 1121 and water ...[more]

PMID: 31867419

Similar Datasets

Project description:BackgroundThe COVID-19 pandemic has had a deep global impact, not only from a social and economic perspective, but also with regard to human health and the environment. To restrict transmission of the virus, the Indian government enforced a complete nationwide lockdown except for essential services and supplies in phases from 25 March to 31 May 2020. Ambient air quality in and around New Delhi, one of the most polluted cities of world, was also impacted during this period.ObjectiveThe aim of the present study was to assess and understand the impact of four different lockdown phases (LD1, LD2, LD3 and LD4) on five air pollutants (particulate matter (PM) PM2.5, PM10, nitrogen oxide (NOx), sulfur dioxide (SO2) and ozone (O3)) compared to before lockdown (BLD) at 13 air monitoring stations in and around New Delhi.MethodsSecondary data on five criteria pollutants for 13 monitoring stations in and around New Delhi for the period 1 March to 31 May 2020 was accessed from the Central Pollution Control Bard, New Delhi. Data were statistically analyzed across lockdown phases, meteorological variables, and prevailing air sources around the monitoring stations.ResultsPollutant concentrations decreased during LD1 compared to BLD except for O3 at all stations. PM2.5 and PM10 remained either close to or higher than the National Ambient Air Quality Standards (NAAQS) due to prevailing high-speed winds. During lockdown phases, NO2 decreased, whereas O3 consistently increased at all stations. This was a paradoxical situation as O3 is formed via photochemical reactions among NOx and volatile organic compounds. Principal component analysis (PCA) extracted two principal components (PC1 and PC2) which explained up to 80% of cumulative variance in data. PM2.5, PM10 and NO2 were associated with PC1, whereas PC2 had loadings of either O3 only or O3 and SO2 depending upon monitoring station.ConclusionsThe present study found that air pollutants decreased during lockdown phases, but these decreases were specific to the site(s) and pollutant(s). The decrease in pollutant concentrations during lockdown could not be attributed completely to lockdown conditions as the planetary boundary layer increased two-fold during lockdown compared to the BLD phase. Such restrictions could be applied in the future to control air pollution but should be approached with caution.Competing interestsThe authors declare no competing financial interests.

Dataset Information

Data on application of water quality index method for appraisal of water quality in around cement industrial corridor, Yerraguntla Mandal, Y.S.R District, A.P South India.

Publications

Data on application of water quality index method for appraisal of water quality in around cement industrial corridor, Yerraguntla Mandal, Y.S.R District, A.P South India.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets