Investigation of factors in creation hydrological pits in geographic information system

Paper Details

Research Paper 01/03/2017
Views (231) Download (100)
current_issue_feature_image
publication_file

Investigation of factors in creation hydrological pits in geographic information system

Azadeh Kazemi, Mohammad Reza Gili
J. Bio. Env. Sci.10( 3), 218-223, March 2017.
Certificate: JBES 2017 [Generate Certificate]

Abstract

Digital Elevation Model (DEM) is an element for display earth topography. One of the most important applications of digital elevation model is in hydrological application. Moreover, in many hydrological processes such as infiltration, speed and direction of runoff, changes in height gradient in the region are important factors. The hydrologic analysis tools are designed to model the convergence of flow across a natural terrain surface. There is an assumption that the surface contains sufficient vertical relief that a flow path can be determined. The tools operate on the assumption that for any single cell, water can flow in from many adjacent cells but out through only one cell. Digital Elevation Model basin with cellular network structure is very important in the effective use of distribution models. Errors in DEMs are usually classified as either sinks or peaks. Sinks, being areas of internal drainage, prevent down slope flow routing of water. In this study, the effect of cell size and lack of data to create maps 1:25000 pits is studied. Interpolation with different cells in similar methods showed that increase in cell size and number of holes and water there is a strong relationship Cubic. The lack of hydrological data was studied on the effect of making holes in cell size of removing randomly. Results showed that the lack of data to evaluate the contours of the pits but a great effect on the effect of cell size to create more hydrological pits.

VIEWS 8

Anurag S. 2000. Comparison of two algorithms for removing depression and delineating flow networks from grid digital elevation models, MSc thesis, Faculty of the Virginia Polytechnic Institute.

Chaplot V, Saleh A, Jaynes DB, Arnold J. 2004. Predicting water, sediment and NO−3 N loads under scenarios of land-use and management practices in a flat watershed. Water, Air, and Soil pollution 154, 271–293.

Cuartero A, Felicísimo AM, Ariza J. 2004. Accuracy of DEM enervation from Terra-Aster stereo data. International Archives of Photogrammetry and Remote Sensing 35, 559-563.

Dickinson RE, Henderson-Sellers A, Kennedy PJ. 1993. Biosphere-Atmosphere Transfer Scheme (BATS) Version 1e as coupled to the NCAR community climate model. NCAR Technical Note, National Center for Atmospheric Research, Boulder, Colorado, USA.

Garbrecht J, Martz M. 1997. The assignment of drainage direction over flat surfaces in raster digital elevation models.  Journal of Hydrology 193, 204-213.

Hutchinson MF, Dowling TI. 1991. A continental hydrological assessment of a new grid-based digital elevation model of Australia. Hydrological Processes 5, 45-58.

Jenson SK, Domingue JO. 1998. Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis. Photogrammetric Engineering and Remote Sensing 54, 1593-1600.

Kenny F, Matthews B. 2005. A methodology for aligning raster flow direction data. Computers and Geosciences, 31, 768–779.

Maidment DR, Olivera JF, Calver A, Eatherall A, Fraczek W. 1996. A unit hydrograph derived from a spatially distributed velocity field. Hydro. Processes 10, 831-844.

Mark DM. 1988. Network models in geomorphology. Chapter 4 in Modeling in Geomorphological systems, Edited by M. G. Anderson, John Wiley, 73-97.

Michele Di. 2008. Correlation between channel and hill slope lengths and its effects on the hydrologic response. Journal of Hydrology 362, 260-273.

Miller CL, Laflamme RA. 1958. The digital terrain model- theory and application. Photogrammetric Engineering, 24, 433-442.

Muzik A. 1996. GIS-derived distributed unit hydrograph. In: Application of geographic information systems in hydrology and water resources. IAHS Publ 235, 453-460.

Naden PS. 1992. Spatial variability in flood estimation for large catchment: The exploitation of channel network structure. Journal of Hydrology Sciences 37, 53-71

Olivera F, Maidment DR. 1999. Geographic information systems (GIS)-based spatially distributed model for runoff routing. Water Resource Research 35, 1155-1164.

Quinn PF. 1991. The prediction of hill slope flow paths for distributed hydrological modeling using digital terrain models. Hydrological Processes 5, 59-79.

Rasmus S. 2007. Effects of DEM resolution on the calculation of topographical indices: TWI and its components. Journal of Hydrology 347, 79-89

Reinfelds I, Cohen T, Batten P, Brierley G. 2004. Assessment of Downstream Trends in Channel Gradient, Total and Specific Stream Power: A GIS Approach, Geomorphology 60.

Schumann AH, Funke R. 1996. GIS-based components for rainfall runoff models. In: Application of geographic information systems in hydrology and water resources. IAHS Publ 235, 477-484.

Sefercik UG. 2012. Performance Estimation of Aster Global DEM Depending upon the Terrain Inclination. Journal Indian Society of Remote Sensing 40, 565–5761.

Seibert J, Vis MJ P. 2012. Teaching hydrological modeling with a ser- friendly catchment-runoff-model software package. Hydrology and Earth System Sciences 16, 3315–3325.

Troch PA, Smith JA, Wood EF, De Troch FP. 1994. Hydrologic controls of large floods in a small basin. Journal Hydrology 156, 285-309.