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Use of Geospatial Tools to Prioritize Zones of Hydro-Energy Potential in Glaciated Himalayan Terrain
- Source :
- Journal of the Indian Society of Remote Sensing. 44:409-420
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- Sustainable development of the Himalayan region is directly linked to optimal utilization of available renewable resources. There is a need to first select the zones suitable for hydropower sites, and then to focus on them only; as purely field-based surveying of rugged mountainous regions for hydropower generation requires too much of time and effort. We used geospatial tools to identify suitable sites for hydropower generation. A Geographic Information System (GIS)-based tool called Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) was used for computing annual runoff volume using watershed-wise topography and biophysical variables. The zones suitable for hydropower generation were then identified based on calculated hydropower energy using derived runoff volumes and hydraulic head. The model accuracy was checked using well established efficiency criteria: coefficient of determination (R2 = 0.98), RMSE-observations standard deviation ratio (RSR), Percent bias (PBIAS) and Nash–Sutcliffe efficiency (NSE). For all these parameters, the model was found to be performing satisfactorily.
- Subjects :
- Hydrology
Geospatial analysis
Geographic information system
010504 meteorology & atmospheric sciences
business.industry
Geography, Planning and Development
0211 other engineering and technologies
Terrain
02 engineering and technology
computer.software_genre
01 natural sciences
Renewable energy
Ecosystem services
Geography
Earth and Planetary Sciences (miscellaneous)
business
Surface runoff
computer
Nash–Sutcliffe model efficiency coefficient
Hydropower
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 09743006 and 0255660X
- Volume :
- 44
- Database :
- OpenAIRE
- Journal :
- Journal of the Indian Society of Remote Sensing
- Accession number :
- edsair.doi...........782150edd89fee4bce27bccc7bdd3dd3
- Full Text :
- https://doi.org/10.1007/s12524-015-0520-y