Development of a Water Runoff Model for Pakistan: A tool for Identifying and Assessing Micro-hydro Sites

A hydrologic model for basins draining through Pakistan is developed with the specific intent of identifying microhydro sites and assessing their quality. The model outputs runoff which is used to estimate flow rate through each geographic cell. These flow rates are scaled by topographic slope using a relationship for potential power to approximate micro-hydro productivity on a cell-by-cell basis. A major hindrance in building and applying models to the region is the lack of dense and consistent meteorological data. This is partially ameliorated by downscaling the data, which improves both its resolution and ability to represent the underlying processes. This study compares the Delta and Bias CorrectionSpatial Disaggregation (BCSD) downscaling methods, ultimately using the meteorological time-series data produced through the Delta method as inputs to the hydrological model. Results are given in normalized form as a demonstration of the model's utility for assessing potential micro-hydro site quality. Future work will include analysis of past and future trends in runoff, where future meteorological scenarios will be based upon the emissions paths developed by the Intergovernmental Panel on Climate Change.

[1]  Hayley J. Fowler,et al.  Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling , 2007 .

[2]  Claudio Smiraglia,et al.  Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan , 2011 .

[3]  B. Mukhopadhyay,et al.  A Stream Water Availability Model of Upper Indus Basin Based on a Topologic Model and Global Climatic Datasets , 2010 .

[4]  M. F. Hutchinson,et al.  Interpolating Mean Rainfall Using Thin Plate Smoothing Splines , 1995, Int. J. Geogr. Inf. Sci..

[5]  Oliver Paish,et al.  Small hydro power: technology and current status , 2002 .

[6]  Siri Jodha Singh Khalsa,et al.  The GLIMS geospatial glacier database: A new tool for studying glacier change ☆ , 2007 .

[7]  Muhammad Aslam Uqaili,et al.  Renewable Energy for Managing Energy Crisis in Pakistan , 2008, IMTIC.

[8]  A. A. Williams Pumps as turbines for low cost micro hydro power , 1996 .

[9]  Jia Wang,et al.  A hydrological digital elevation model for freshwater discharge into the Gulf of Alaska , 2004 .

[10]  R. Rosso,et al.  Spatial downscaling of precipitation from GCMs for climate change projections using random cascades: A case study in Italy , 2011 .

[11]  Yuri Gorokhovich,et al.  Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics , 2006 .

[12]  David A. Seal,et al.  The Shuttle Radar Topography Mission , 2007 .

[13]  C. O. Clark Storage and the Unit Hydrograph , 1945 .

[14]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[15]  D. Archer,et al.  Contrasting hydrological regimes in the upper Indus Basin , 2003 .

[16]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[17]  R. Armstrong,et al.  The GLIMS Glacier Database , 2007 .

[18]  Tara C. Kandpal,et al.  Techno-economics of micro-hydro projects for decentralized power supply in India , 2006 .

[19]  C. Daly Variable influence of terrain on precipitation patterns : Delineation and Use of Effective Terrain Height in PRISM , 2002 .

[20]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[21]  R. Wilby,et al.  A comparison of statistical downscaling and climate change factor methods: impacts on low flows in the River Thames, United Kingdom , 2005 .

[22]  D. Lettenmaier,et al.  Water budget record from variable infiltration capacity (VIC) model , 2010 .

[23]  D. Boer,et al.  Spatial patterns and variation of suspended sediment yield in the upper Indus River basin, northern Pakistan , 2007 .