- New Delhi
- Hydrology, Climate Change, Hydropower, Rainfall, Ilwis, Brahmaputra, and 17 moreUnit Hydrograph, CWC subzone reports, Arun basin, HEC- HMS, Gridded Data, Engineering, Geography, Ecology, Civil Engineering, Geology, Himalayas, Climate change impact, Hydroelectric, Environmental Science, Earth Sciences, Sediment transport, and HEC-RASedit
- Basically a civil engineer by profession, with specialization in Hydrology. Graduated from Assam Engineering College,... moreBasically a civil engineer by profession, with specialization in Hydrology. Graduated from Assam Engineering College, Guwahati in 1981 and subsequently did Master’s degree in Hydrology from IIT, Roorkee in 1984. Also attended the International Post Graduate Course on Hydrology in the University of Padua, Italy, in 1988. Worked initially in Public Works Department, Assam for a brief one and a half year tenure, in Brahmaputra Board, an autonomous organization under the Ministry of Water Resources, Govt of India for about 24 years, in between in NHPC Ltd. for two years on deputation, and currently with L&T Power Development Ltd. since May 2009.edit
Design of hydropower project components is very much dependent on the correct assessment of hydrology of the project. Hydropower project hydrology is essentially the estimation of water availability and design floods. A reliable... more
Design of hydropower project components is very much dependent on the correct assessment of hydrology of the project. Hydropower project hydrology is essentially the estimation of water availability and design floods. A reliable assessment of project hydrology is generally handicapped by non-availability of sufficient historical data in the remote mountainous regions where hydropower projects are mostly located. Small hydropower development, which is the most prospective in the days to come, is more constrained because data scarcity is more acute in the tributary catchments. Even in some areas where historical data is available, non-stationarity of the data observed in the last few decades coupled with climate change prospects looming over in the future have rendered the job more critical. Some recent developments in technology are however offering the possibility of increasing the much needed confidence level of the hydrological projections. An important development is in the repre...
Research Interests:
The spatial variability of rainfall, an important element of the hydro-climatic regime, has been a comparatively difficult element to address. The availability of high-resolution gridded rainfall data in recent times is now offering new... more
The spatial variability of rainfall, an important element of the hydro-climatic regime, has been a comparatively difficult element to address. The availability of high-resolution gridded rainfall data in recent times is now offering new possibilities. Conceptually, in the line of the hypsometric curve, a curve can be drawn using the gridded rainfall data to represent the distribution of rainfall across the area of the catchment. It is proposed to call this curve the "hyetometric curve". The use and potential of hyetometric curves are demonstrated by drawing such curves for the tributary catchments of the trans-Himalayan Arun basin that spans from China to Nepal. The hyetometric curve can aid in establishing hydrological similarity and framing catchment classification schemes. It makes computing the average rainfall of a catchment much easier. It has potential for use also in climate change studies. All these aspects are discussed in this paper.
Research Interests:
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due to damages to the data-collection infrastructure, physical impossibility of measurement during the actual passage of the flood, etc. Moreover,... more
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due to damages to the data-collection infrastructure, physical impossibility of measurement during the actual passage of the flood, etc. Moreover, long term historical data, by which the element of uncertainty is tackled in a predictive scenario is of little use in this case. The June 2013 flood in Uttarakhand had GLOF (Glacial Lake Outburst Flood) also as a component. Some recent developments in technology offer the possibility of increasing the confidence level of assessment in such situations. Near real-time current rainfall data by the Tropical Rainfall Measuring Mission (TRMM) and developments in GIS technology are worth mentioning in this regard. Application of these developments integrated with traditional data and methods in assessment of the catastrophic June 2013 flood that passed through the under-construction Singoli-Bhatwari Hydro Electric Project in Uttarakhand are discussed in t...
Research Interests:
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due to damages to the data-collection infrastructure, physical impossibility of measurement during the actual passage of the flood, etc. Moreover,... more
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due to damages to the data-collection infrastructure, physical impossibility of measurement during the actual passage of the flood, etc. Moreover, long term historical data, by which the element of uncertainty is tackled in a predictive scenario is of little use in this case. The June 2013 flood in Uttarakhand had GLOF (Glacial Lake Outburst Flood) also as a component. Some recent developments in technology offer the possibility of increasing the confidence level of assessment in such situations. Near real-time current rainfall data by the Tropical Rainfall Measuring Mission (TRMM) and developments in GIS technology are worth mentioning in this regard. Application of these developments integrated with traditional data and methods in assessment of the catastrophic June 2013 flood that passed through the under-construction Singoli-Bhatwari Hydro Electric Project in Uttarakhand are discussed in t...
Research Interests:
Reservoir sedimentation is a matter of serious concern for any hydroelectric project located in the Himalayas. It poses a challenge for projects in the Chenab basin due to certain constraints imposed by the Indus Water Treaty, more so... more
Reservoir sedimentation is a matter of serious concern for any hydroelectric project located in the Himalayas. It poses a challenge for projects in the Chenab basin due to certain constraints imposed by the Indus Water Treaty, more so after the Award by the Court of Arbitration in case of the Kishanganga Hydroelectric Project because now the option of drawdown flushing as a means to tackle the reservoir sedimentation problem in the upcoming projects on the Western Rivers is foreclosed. L&T, being presently engaged in the development of two hydroelectric projects on the Chenab in Himachal Pradesh viz. the Sach Khas (260 + 7 MW) and the Reoli Dugli (420 + 9.2 MW), has carried out and completed one-dimensional numerical model studies using HEC-RAS for Sach Khas HEP. The results of the 1-D HEC-RAS model matches well with the results from Brune’s empirical trap efficiency curve. The rate of storage depletion is found to be equal to the average sedimentation rate of reservoirs in India. I...
Research Interests:
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due to damages to the data-collection infrastructure, physical impossibility of measurement during the actual passage of the flood, etc. Moreover,... more
In a catastrophic post-flood scenario, estimating the flood that passed can be challenging due
to damages to the data-collection infrastructure, physical impossibility of measurement during
the actual passage of the flood, etc. Moreover, long term historical data, by which the element
of uncertainty is tackled in a predictive scenario is of little use in this case. The June 2013
flood in Uttarakhand had GLOF (Glacial Lake Outburst Flood) also as a component. Some
recent developments in technology offer the possibility of increasing the confidence level of
assessment in such situations. Near real-time current rainfall data by the Tropical Rainfall
Measuring Mission (TRMM) and developments in GIS technology are worth mentioning in
this regard. Application of these developments integrated with traditional data and methods in
assessment of the catastrophic June 2013 flood that passed through the under-construction
Singoli-Bhatwari Hydro Electric Project in Uttarakhand are discussed in this paper.
to damages to the data-collection infrastructure, physical impossibility of measurement during
the actual passage of the flood, etc. Moreover, long term historical data, by which the element
of uncertainty is tackled in a predictive scenario is of little use in this case. The June 2013
flood in Uttarakhand had GLOF (Glacial Lake Outburst Flood) also as a component. Some
recent developments in technology offer the possibility of increasing the confidence level of
assessment in such situations. Near real-time current rainfall data by the Tropical Rainfall
Measuring Mission (TRMM) and developments in GIS technology are worth mentioning in
this regard. Application of these developments integrated with traditional data and methods in
assessment of the catastrophic June 2013 flood that passed through the under-construction
Singoli-Bhatwari Hydro Electric Project in Uttarakhand are discussed in this paper.
Research Interests:
Research Interests:
Research Interests:
Design of hydropower project components is very much dependent on the correct assessment of hydrology of the project. Hydropower project hydrology is essentially the estimation of water availability and design floods. A reliable... more
Design of hydropower project components is very much dependent on the correct assessment of hydrology of the project. Hydropower project hydrology is essentially the estimation of water availability and design floods. A reliable assessment of project hydrology is generally handicapped by non-availability of sufficient historical data in the remote mountainous regions where hydropower projects are mostly located. Small hydropower development, which is the most prospective in the days to come, is more constrained because data scarcity is more acute in the tributary catchments. Even in some areas where historical data is available, non-stationarity of the data observed in the last few decades coupled with climate change prospects looming over in the future have rendered the job more critical. Some recent developments in technology are however offering the possibility of increasing the much needed confidence level of the hydrological projections. An important development is in the representation of the data in gridded format, whether the data is derived statistically, or from space-borne sensors. Gridded data allows the analyst to have a much better spatial comprehension of the hydrological phenomenon with the help of GIS techniques. The globally available topographical data (SRTM, ASTER etc.), historical rainfall and temperature data (WorldClim dataset), current rainfall data (TRMM), future rainfall and temperature data (CIAT dataset), are worth-mentioning in this regard. These developments along with examples of applications focusing on hydropower development in the Himalayan region including climate change impacts are discussed in this paper. Key words: project hydrology; developments in technology; gridded data; climate change.