Author(s)

D. V. Ramana^1*, J. Pavan Kumar², R. N. Singh¹, R. K. Chadha¹

¹National Geophysical Research Institute (CSIR), Hyderabad, India.
²Indian National Centre for Ocean Information Services (MoES), Hyderabad, India.

Koyna region, a seismically active region, has many time series observations such as seismicity, reservoir water levels, and many bore well water levels. One of these series is used to predict others since these parameters are interlinked. If these series were stationary, we used correlation analysis. However, it is seen that maximum of these time series are nonstationary. In this case, co-integration method is used that is extracted from econometrics and forecast is possible. We have applied this methodology to study time series of reservoir water levels of this region and we find them to be co-integrated. Therefore, forecast of water levels for one of the reservoir is done from the other as these will never drift apart too much. The outcomes demonstrate that a joint modelling of both data sets based on underlying physics resolves to be sparingly useful for understanding predictability issues in reservoir induced seismicity.

Co-Integration, Seismicity, Forecast, Koyna-Warna, Reservoirs, Water Levels

Ramana, D. , Kumar, J. , Singh, R. and Chadha, R. (2015) Co-Integration Models for Koyna and Warna Reservoirs, India. International Journal of Geosciences, 6, 1173-1178. doi: 10.4236/ijg.2015.610092.