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Journal Article 2015

Autor: Chinnasamy, Pennan Maheshwari, B. Prathapar, Sanmugam A.

Groundwater management practices need to take hydrogeology, the agro-climate and demand for groundwater into account. Since agroclimatic zones have already been demarcated by the Government of India, it would aid policy makers to understand the status of groundwater recharge and discharge in each...

Enlace original: https://cgspace.cgiar.org/handle/10568/69029

Investigación en Agricultura
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Chinnasamy, Pennan ,  Maheshwari, B. ,  Prathapar, Sanmugam A. ,  [Understanding groundwater storage changes and recharge in Rajasthan, India through remote sensing] ,  Understanding groundwater storage changes and recharge in Rajasthan, India through remote sensing
Journal Article 2016

Autor: Chinnasamy, Pennan Agoramoorthy, G.

Agriculture is a major occupation for people who inhabit the state of West Bengal in India. In order to boost irrigation, 570 tube wells per year were installed during 2002-2008, and 12,000 wells per year were installed during 2009-2013, contributing to higher groundwater (GW) withdrawal. However...

Enlace original: https://cgspace.cgiar.org/handle/10568/76276

Investigación en Agricultura
Enlace permanente
Chinnasamy, Pennan ,  Agoramoorthy, G. ,  [India's groundwater storage trends influenced by tube well intensification] ,  India's groundwater storage trends influenced by tube well intensification
Journal Article 2015

Autor: Chinnasamy, Pennan Sunde, M.G.

The Indian Ocean Tsunami of December 26, 2004 devastated coastal ecosystems across South Asia. Along the coastal regions of South India, increased groundwater levels (GWL), largely caused by saltwater intrusion, infiltration from inundated land, and disturbance of freshwater lenses, were reported...

Enlace original: https://cgspace.cgiar.org/handle/10568/68437

Investigación en Agricultura
Enlace permanente
Chinnasamy, Pennan ,  Sunde, M.G. ,  [Improving spatiotemporal groundwater estimates after natural disasters using remotely sensed data: a case study of the Indian Ocean Tsunami] ,  Improving spatiotemporal groundwater estimates after natural disasters using remotely sensed data: a case study of the Indian Ocean Tsunami

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