Knowledge-Based Model for Supplementary Irrigation Assessment in Agricultural Watersheds
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 6
Abstract
In this paper a knowledge-based model for supplementary irrigation assessment in rainfed agricultural watersheds is presented. The supplementary irrigation assessment problem is divided into different components and is modeled separately. Geographic Information System (GIS) is used to aggregate spatially varying attributes required for the modeling. A graphical user interface is developed in a GIS platform by using the ERDAS macro language tools. The model was applied to two case study areas in India: a subwatershed of Gandheshwari area (West Bengal), and Harsul watershed (Maharashtra). In the Gandheshwari subwatershed, the water availability was found to be inadequate to meet the irrigation requirement and hence the model identified the areas that can be irrigated with different outsource water supply. On the other hand, surface runoff generated in the Harsul watershed was found to be sufficient to meet the supplementary irrigation requirement, thereby showing the feasibility for supplementary irrigation in the area. Using the model, the effect of any rainfall condition can be simulated and hence appropriate measures can be taken in advance to reduce the risk of crop failure.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The work presented in this paper was partially sponsored by the Department of Science and Technology, Government of India, through the research project carried out at CSRE, Indian Institute of Technology Bombay, and is gratefully acknowledged.
References
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration—Guidelines for computing crop water requirements.” FAO irrigation and drainage paper 56, Food and Agricultural Organization of the United Nations (FAO), Rome.
Arumugam, N., and Mohan, S. (1997). “Integrated decision support system for tank irrigation system operation.” J. Water Resour. Plann. Manage., 123(5), 266–273.
Dai, J. J., Lorenzato, S., and Rocke, D. M. (2004). “A knowledge-based model of watershed assessment for sediments.” Environ. Modell. Software, 19, 423–433.
ERDAS. (2000). ERDAS macro language reference manual, ERDAS, Inc., Atlanta.
Food and Agricultural Organization of the United Nations (FAO). (1976). “A framework for land evaluation.” Soil Bulletin 32, Rome.
Guerra, L. C., Watson, P. G., and Bhuiyan, S. I. (1990). “Hydrological analysis of farm reservoirs in rainfed rice areas.” Agric. Water Manage., 17, 351–366.
Hopgood, A. A. (1993). Knowledge-based systems for engineers and scientists, CRC, Boca Raton, Fla.
Istituto Agronomico per L’Oltremare (IAO). (2003). “Land evaluation in the province of Thiès, Senegal.” Florence 2003: 23rd Course Document, Professional Master—Geomatics and Natural Resources Evaluation, Ministry of Foreign Affairs, Istituto Agronomico per L’Oltremare, Firenze, Italy.
Ito, K., Xu, Z. X., Jinno, K., Kojiri, T., and Kawamura, A. (2001). “Decision support system for surface water planning in river basins.” J. Water Resour. Plann. Manage., 127(4), 272–276.
Jana, R., Reshmidevi, T. V., Arun, P. S., and Eldho, T. I. (2007). “An enhanced technique in construction of the drainage network from low resolution spatial database.” Comput. Geosci., 33(6), 717–727.
Oweis, T., and Hachum, A. (2006). “Water harvesting and supplemental irrigation for improved water productivity of dry farming systems in West Asia and North Africa.” Agric. Water Manage., 80, 57–73.
Panigrahi, B., Panda, S. N., and Mal, B. C. (2007). “Rainwater conservation and recycling by optimal size on-farm reservoir.” Resour. Conserv. Recycl., 50(4), 459–474.
Reshmidevi, T. V., Eldho, T. I., and Jana, R. (2009). “A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds.” Agric. Syst., 101, 101–109.
Reshmidevi, T. V., Jana, R., and Eldho, T. I. (2008). “Geo-spatial estimation of soil moisture in rain-fed paddy fields using SCS-CN-based model.” Agric. Water Manage., 95, 447–457.
Rockström, J., Barron, J., and Fox, P. (2002). “Rainwater management for increased productivity among small-holder farmers in drought prone environment.” Phys. Chem. Earth, 27, 949–959.
Ross, T. J. (1997). Fuzzy logic with engineering applications, McGraw-Hill, Singapore.
Silva, L. M., Park, J. R., Keatinge, J. D. H., and Pinto, P. A. (2001). “A decision support system to improve planning and management in large irrigation schemes.” Agric. Water Manage., 51, 187–201.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 6 • June 2010
Pages: 376 - 382
Copyright
© 2010 ASCE.
History
Received: Jul 21, 2008
Accepted: Nov 30, 2009
Published online: May 14, 2010
Published in print: Jun 2010
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.