Varanasi: The Varanasi Municipal Corporation (VMC) has decided to use solar energy in its offices across the five zones and 14 sub-zones.

VARANASI: After energy efficient LED bulbs the Purvanchal Vidyut Vitaran Nigam Limited in collaboration with the Energy Efficiency Services Limited (EESL) is going to provide energy efficient fans

Varanasi: The city is suffering insanitation woes as the municipal waste has not been transported to the dumping site in Ramna locality for last four days.

VARANASI: To prevent the majestic ghats from caving in, the experts of Geological Survey of India (GIS) and National Institute of Hydrology (NIH) will assess the measures to check erosion on the le

Varanasi: Close on the heels of the picture of an ADM relieving himself on the bank of the Yamuna in Allahabad was flashed in the media, the Varanasi Municipal Corporation (VMC) has decided that an

Mysuru in Karnataka has retained its position of the cleanest city in India, followed by Chandigarh, whereas Dhanbad in Jharkhand and Prime Minister Narendra Modi’s constituency, Varanasi, are amon

NEW DELHI: Solar power plants at six airports have been delayed due to wrangling between the Airports Authority of India (AAI) and power distribution companies over net metering arrangements.

Order of the National Green Tribunal in the matter of Vardhaman Kaushik Vs. Union of India & Ors. dated 06/01/2016 regarding diseases as a result of pollution majorly generated by air pollution.

Gujarat, Bihar, Punjab, Uttar Pradesh, Telangana, Odisha, Chhatisgarh, Maharashtra, Karnataka and Jharkhand would file a comprehensive affidavit stating the steps taken by the respective states in the respective cities, for prevention and control of air pollution. The ambient air quality samples will be taken and analysis report be submitted before the Tribunal.

Varanasi: The Japanese Prime Minister Shinzo Abe will have to spend time in severely polluted atmosphere full of particulate matters in the air during his visit to Varanasi.

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites into three clusters, i.e., relatively low polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics.

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