CROPWAT and GIS tools for AEU based Irrigation Demand Estimation of the Chalakudy River Diversion Scheme (CRDS) command area

CROPWAT and GIS tools for AEU based Irrigation Demand Estimation of the Chalakudy River Diversion Scheme (CRDS) command area

Authors

  • E.B Gilsha Bai Assistant Professor, Krishi Vigyan Kendra, Palakkad, Kerala Agricultural University, Mele Pattambi 679 306, Kerala, India ph. 9495062840
  • K.P Rema Professor & Head, Dept. f Irrigation and Drainage Engg., KCAET, Tavanur, Kerala Agricultural University
  • Asha Joseph Professor, Dept. f Irrigation and Drainage Engg., KCAET, Tavanur, Kerala Agricultural University
  • Mini Abraham Professor & Head, Agronomic Research Station, Chalakudy, Kerala Agricultural University
  • Anu Varughese Assistant Professor Department of Irrigation and Drainage Engineering KCAET, Tavanur-679573 Phb.9495174921

Keywords:

Agro-ecological unit, ArcGIS, Chalakudy River Diversion Scheme, CROPWAT, ERDAS Imagine, Irrigation requirement.,

Abstract

Irrigation is one of the major factors affecting the productivity of crops. Planning of irrigation schemes and efficiency assessment of the existing schemes require an accurate estimation of irrigation demand. Cropping patterns and their areal extent determine the quantity of irrigation water required. Crops and cropping pattern of a place and its water requirement mainly depends on the agroecological situation of the area. Hence, estimating irrigation demand considering parametric variations of agro-ecological units is necessary for planning irrigation. However, estimation of the cropped area and cropping patterns, which decides the capacity of irrigation schemes, is tedious without using GIS tools. The present study conducted in the command area of the Chalakudy River Diversion Scheme (CRDS) utilized the Image processing software ERDAS Imagine for the preparation of land use/ land cover map and ArcGIS for other spatial analyses of the maps. There were seven different agro-ecological units in the study area. The irrigation requirements of the crops/cropping pattern in these agro-ecological units were estimated using the CROPWAT 8.0 software developed by FAO. The results indicated that the water requirement of crops, especially that of paddy, varies with the agro-ecological unit. The total irrigation demand of different agro-ecological units was found to be proportional to the cropped area, but the seasonal variations in irrigation demand were similar in all agro-ecological units of the study area. The estimated average annual net irrigation requirement of the CRDS command area was obtained as 46.90 Mm3 . The average annual water release through the canal system was found deficient to meet this demand due to the lack of management and maintenance of the canal system.

Author Biography

E.B Gilsha Bai, Assistant Professor, Krishi Vigyan Kendra, Palakkad, Kerala Agricultural University, Mele Pattambi 679 306, Kerala, India ph. 9495062840

Assistant Professor,Department of Irrigation and Drainage Engineering, KCAET, Tavanur

References

References

Acharjee, T.K., van Halsema, G., Ludwig, F., Hellegers, P. and Supit, I. 2019. Shifting planting date of Boro rice as a climate change adaptation strategy to reduce water use. Agric. Systems, 168: 131-143.

Allen, R. G., Pereira, L. A., Raes, D. and Smith, M. 1998. Crop evapotranspiration –guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Rome, Italy, 293 p.

Al-Najar, H. 2011. The integration of FAO-CROPWATmodel and GIS techniques for estimating irrigation water requirement and its application in the Gaza Strip. Nat. Resour., 2: 146-154. DOI:10.4236/nr.2011.23020

Gajbhiye, K.S. and Mandal, C. 2000. Agro-Ecological Zones, their soil resource and cropping systems. CED documentation on status of farm mechanization in India.32 p.

Gangwar, A., Nayak, T.R., Singh, R.M. and Singh, A. 2017. Estimation of crop water requirement using CROPWAT 8.0 model for Bina command, Madhya Pradesh. Indian J. Ecol., 44: 71-76.

Krishnakumar, K.N., Rao, G.S.L.H.V. and Gopakumar, C.S. 2009. Rainfall trends in twentieth century over Kerala, India. Atmos. Environ., 43: 1940-1944. DOI: 10.1016/j.atmosenv.2008.12.053

Kuo, S.F., Lin, B.J. and Shieh, H.J. 2001. CROPWAT model to evaluate crop water requirements in Taiwan. In: Proceedings of 1st Asian Regional Conference 2001, International Commission on Irrigation and Drainage, Seoul: A25. 14p. https://www.researchgate.net/publication/265197839

Madhusoodhanan, C.G. and Eldho, T.I. 2012. Impact of diversions in the Chalakudy basin and implications for integrated basin management. In: Proceedings of National Conference on Hydraulics, Water Resources, Coastal and Environmental Engineering (HYDRO-2012), 7 – 8 December 2012, IIT Bombay, India : 1-9.

Nivesh, S. Kashyap, P.S. and Saran, B. 2019. Irrigation water requirement modelling using CROPWAT model: Balangir district, Odisha. The Pharma Innovation J., 8(12): 185-188.

Surendran, U., Sushanth, C.M., Mammen, G. and Joseph, E.J. 2017. FAO-CROPWAT model-based estimation of crop water need and appraisal of water resources for sustainable water resource management: Pilot study for Kollam district – humid tropical region of Kerala, India. Curr. Sci., 112 (76): 76- 86.

Surendran, U., Sushanth, C.M., Joseph, E.J., Al-Ansari, N. and Yaseen, Z.M. 2019. FAO CROPWAT model-based irrigation requirements for coconut to improve crop and water productivity in Kerala, India. Sustainability, 11: 5132. DOI:10.3390/su11185132

Wezel, A., Bellon, S., Dore, T., Francis, C., Vallod, D. and David, C. 2009. Agroecology as a science, a movement and a practice. A review. Agron. for sustain. Dev., 29: 503-515.

Zhiming, F., Dengwei, L. and Yuehong, Z. 2007. Water requirements and irrigation scheduling of spring maize using GIS and CROPWAT Model in Beijing-TianjinHebei region. Chinese Geogr. Sci., 17(1): 56- 63.

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Published

03-05-2023

How to Cite

Bai, E. G., Rema, K., Joseph, A., Abraham, M., & Varughese, A. (2023). CROPWAT and GIS tools for AEU based Irrigation Demand Estimation of the Chalakudy River Diversion Scheme (CRDS) command area. Journal of Tropical Agriculture, 60(2). Retrieved from https://jtropag.kau.in/index.php/ojs2/article/view/1146

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