We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Surface Water Management in Machhu Dam Command Area using Geo-Informatics Techniques

by Satyendra Belwanshi, M H Kalubarme, Khalid Mehmood
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 21
Year of Publication: 2013
Authors: Satyendra Belwanshi, M H Kalubarme, Khalid Mehmood
10.5120/11519-7278

Satyendra Belwanshi, M H Kalubarme, Khalid Mehmood . Surface Water Management in Machhu Dam Command Area using Geo-Informatics Techniques. International Journal of Computer Applications. 67, 21 ( April 2013), 16-22. DOI=10.5120/11519-7278

@article{ 10.5120/11519-7278,
author = { Satyendra Belwanshi, M H Kalubarme, Khalid Mehmood },
title = { Surface Water Management in Machhu Dam Command Area using Geo-Informatics Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 21 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number21/11519-7278/ },
doi = { 10.5120/11519-7278 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:04.427779+05:30
%A Satyendra Belwanshi
%A M H Kalubarme
%A Khalid Mehmood
%T Surface Water Management in Machhu Dam Command Area using Geo-Informatics Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 21
%P 16-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Water is the most important natural resource; it is the most basic human need and a valuable national asset. Water is one of nature's most important gifts to mankind. Efficient development and optimized utilization of water resources therefore, is of great significance to the overall development of the country. In Rajkot district (India) the Machhu Dam was built for supplying drinking water to urban areas. The present study on Surface Water Management in Machhu Dam Command Area (Rajkot District) using Geo-Informatics Techniques was carried out in the Aji and Machhu dam Catchment areas, using Indian Remote Sensing Satellite digital data and Geoinformatics technology. The surplus water availability in major reservoirs and dams was computed from the data collected from Flood Control Cell (FCC) government of Gujarat. It was observed from the FCC data analysis, the Machhu river have surplus water during 2007-2011. Therefore, this study on diverting of surplus water through canals, ponds and check dams in the study area was carried out. The remote sensing data and GIS data was used to generate present land use, drainage pattern as well as slope and contour using 3-D technology. This analysis was carried out for diverting surplus water through proposed canal and pond. The result of the study indicate that if the surplus water from the Machhu dam is diverted to the unirrigated areas in Rajkot district, it will definitely improve the agricultural production due to availability of irrigation water through canal. The improvements in agricultural production will help to improve the economical condition of the farmers in the region.

References
  1. Leipnik, M. R. , Kemp, K. K. , Loaiciga, H. A. , 1993. Implementation of GIS for water resources planning and management. J. Wat. Resour. Plan. Mgmt 119 (2), 184-205
  2. Majunu S and Sumanth Kumar G (2006). Canal Alignment using Geographic Information System: Ecologists wake up! Curr. Sci. , 87(8): 1030 - 1031.
  3. Rajiv K. Gupta (2004). "Water Governance in Gujarat State, India" , International Journal of Water Resources Development , 20(2):131-147.
  4. Rajamani V (2005). Interlinking of rivers: is it a solution? The Hindu, 26th August 2005.
  5. Jacobsen,K. DEM generation from satellite data. Germany.
  6. Kovar , K. and H. B. Nachtnebel (Eds) 1993. Application of Geographic Information System in hydrology and water resources management,IAHS Publication No. 211. International Association of hydrological Sciences Press, Wallingford.
  7. Ali, M. H. , L. T. Shui, W. R. Walker: 2003. Optimal Water Management for Reservoir Based Irrigation Projects Using Geographic System. Journal of Irrigation and Drainage Engineering. 129(1):1-10.
  8. Khare, D. , Garg, P. K. , Jat, M. K. and Dhore K. , (2007), Selection of Optimum Canal Alignment Using GIS: River Interlinking Perspective, Indian Journal Power and River Valley Development, March-April, 112-121.
  9. Abrams. M. and Hook, S. J. (1995): Simulated ASTER data for geological studies. IEEE Transactions on Geoscience and Remote Sensing, 33: 692-699.
  10. Lang, H. R. and Welch, R. (1999): Algorithm Theoretical Basis Document for ASTER Digital Elevation Models (Standard Product AST14) Version 3. 0. NASA EOS Publication ATBD.
  11. Van Deursen, W. P. A. & Kwadijk, J. C. J (1993) RHINEFLOW: an integrated GIS water balance model for the river Rhine. In: Application of Geographic Information Systems in Hydrology and Water Resources (ed, by K. Kovar & H. P. Nachtnebel) (Proc, Int. Conf. HydroGIS'93 , Vienna, April 1993), 507-518. IAHS Publ. no. 211.
  12. Alumini Association, CEG Anna University, Proceedings of the seminar on Interlinking of Peninsular Rivers, February, 1999.
  13. Baban, S. (1999). "Use of remote sensing and geographical information systems in developing lake management strategies. " Hydrobiologia 395-396(0): 211-226.
  14. Dasmunsi, P. R. (2005). "National Water Convention on Inter-Basin Transfer of Water in India. " International Journal of Environmental Consumerism 1 (1): 58-59.
  15. Wu, S. , J. Li, et al. (2007). "Characterization and Evaluation of Elevation Data Uncertainty in Water Resources Modeling with GIS. " Water Resources Management.
  16. Yusof, K. W. and S. M. J. Baban (2000). Identifying Optimum Sites for locating Reservoirs employing Remotely Sensed Data and Geographical Information Systems. Asian Conference on Remote Sensing Taipei, Taiwan, www. GISdevelopment. net
  17. Ludwig, R. and P. Schneider (2006). "Validation of digital elevation models from SRTM X-SAR for applications in hydrologic modeling. " ISPRS Journal of Photogrammetry and Remote Sensing 60(5): 339-358.
  18. Eiumnoh, A and Shrestha, P. 2000. Application of DEM Data to Landsat Image Classification: Evaluation in a Tropical Wet-Dry Landscape of Thailand. Photogrammetric Engineering & Remote Sensing, 63 (10), 1195-1202.
  19. Howe, C. W. ; Goemans, C. 2003. Water Transfer and their Impact: Lessons from Three Colorado Water Markets. Journal of American Water Resources Association (JAWRA) 39(5): 1055-1065.
  20. Boxer, B. 2001. "Contradictions and Challenges in China's Water Police Development. " Water International 26 (3): 335-341.
  21. Albiac J. 2002. Water Demand Management versus Water Supply Policy: the Ebro River Water Transfer. World Bank Water Forum 2002 Inter-Basin Transfers May 6-8, 2002.
  22. Vasudeva RPHV (2004). Environmental impact assessment of diversion weirs/check Dams in the tribal area of Visakhapatnam district. Project report
  23. Ruud, N. C. , T. Harter, A. W. Naugle, 2002. A conjunctive use groundwater-surface water flow model for the Tule River groundwater basin in the eastern-central San Joaquin Valley, California; in: Marino, M. A. & S. P. Simonovic, Integrated Water Resources Management, IAHS Publication No. 272, p. 167-174. .
Index Terms

Computer Science
Information Sciences

Keywords

Indian Remote Sensing Satellite (IRS) Cartosat LISS-III LISS-IV Data Digital Elevation Model (DEM) Canal Alignment Geographic Information system (GIS) Surface Water Management

Powered by PhDFocusTM