Assessment of irrigation and agricultural potential of the Sone command area in Bihar, India applying geospatial techniques

K. Praveen; L. B. Roy

Authors

K. Praveen Civil Engineering Department, National Institute of Technology Patna, Bihar, 800005, India
L. B. Roy Civil Engineering Department, National Institute of Technology Patna, Bihar, 800005, India

Keywords:

agricultural potential, aridity index, geospatial techniques, irrigation potential, Sone command area

Abstract

Agriculture and related industries provide the main source of income for more than 58% of India's population. Sustainable agriculture will provide the long-term benefits required for resource development and mitigation. Evaluating the irrigation and agricultural potential for successful agricultural management is necessary. Recent studies have concentrated on evaluating the irrigation potential (IP) of canal networks as well as the agricultural potential of the Sone command area in Bihar, India. The IP of the canals was evaluated by using the high-resolution SRTM data and the canal length was acquired from the Google Earth Pro tool, whereas the agricultural potential was calculated by using six factors such as slope, precipitation, water holding capacity, soil depth, aridity index, and LANDSAT-8 data. The proposed irrigation potential under the main canal, the branch canals and the distributaries provided by the field is 653.67 thousand Ha and the satellite proposed irrigation potential created is 654.414 thousand Ha. The difference between the proposed IP and the Satellite is744 Ha per the assessment. Due to land acquisition issues, there are gaps in the IP minors and distributaries. Based on the study, the central command area has the highest agricultural potential. The results reveal that an area of 647.85 thousand Ha has the maximum water demand, which indicates that the area has a low aridity index, a low slope and shallow clayey soil. Despite traditional methods, this methodology uses high-resolution geospatial data, which is more reliable and scientific and will help develop a logical decision-making system for the effective management of accessible surface water for the irrigation purpose in the study area.

References

Abd El-Salam, F. A., & El-Saftawy, M. I. (2012). Second order constraints in the theory of invariant relative orbits including relativistic and direct solar radiation pressure effects. Indian Journal of Science and Technology, 5(9), 3241–3254. https://doi.org/10.17485/ijst/2012/v5i9.4

Akhtar, M. P., Roy, L. B., & Vishwakarma, K. M. (2020). Assessment of agricultural potential of a river command using geo-spatial techniques: a case study of Himalayan river project in Northern India. Applied Water Science, 10(3), 1-13. https://doi.org/10.1007/s13201-020-1165-8

Al-Ghobari, H. M., & Mohammad, F. S. (2011). Intelligent irrigation performance: evaluation and quantifying its ability for conserving water in arid region. Applied Water Science, 1(3–4), 73–83. https://doi.org/10.1007/s13201-011-0017-y

Alayu, E., & Leta, S. (2021). Evaluation of irrigation suitability potential of brewery effluent post treated in a pilot horizontal subsurface flow constructed wetland system: implications for sustainable urban agriculture. Heliyon, 7(5), e07129. https://doi.org/10.1016/j.heliyon.2021.e07129

Anderson, R. G., & French, A. N. (2019). Crop evapotranspiration. Agronomy, 9(10), 614. https://doi.org/10.3390/agronomy9100614

Chatterjee, C., Kumar, R., Chakravorty, B., Lohani, A. K., & Kumar, S. (2005). Integrating remote sensing and GIS techniques with groundwater flow modeling for assessment of waterlogged areas. Water Resources Management, 19(5), 539–554. https://doi.org/10.1007/s11269-005-2071-4.

Dawit, M., Olika, B. D., Mulunesh, F. B., Leta, O. T., & Dinka, M. O., (2020). Assessment of surface Irrigation Potential of Dhidhessa River Basin, Ethopia. Hydrology, 7, 68. doi:10.3390/hydrology7030068.

El-Magd, I. A., & Tanton, T. (2005). Remote sensing and GIS for estimation of irrigation crop water demand. International Journal of Remote Sensing, 26(11), 2359–2370. https://doi.org/10.1080/0143116042000298261

Fokeng, R. M., & Fogwe, Z. N. (2022). Landsat NDVI-based vegetation degradation dynamics and its response to rainfall variability and anthropogenic stressors in Southern Bui Plateau, Cameroon. Geosystems and Geoenvironment, 1(3), 100075. https://doi.org/10.1016/j.geogeo.2022.100075

Gebremedhin, M. A., Kahsay, G. H., & Fanta, H. G. (2018). Assessment of spatial distribution of aridity indices in Raya valley, northern Ethiopia. Applied Water Science, 8(8), 1-8.

Global biodiversity strategy: guidelines for action to save, study, and use earth’s biotic wealth sustainably and equitably. (1992). In Choice Reviews Online (Vol. 30, Issue 04). https://doi.org/10.5860/choice.30-2071

Hargreaves, G. H. (1974). Estimation of Potential and Crop Evapotranspiration. Transactions of the American Society of Agricultural Engineers, 17(4), 701–704. https://doi.org/10.13031/2013.36941

Hu, K. X., Awange, J. L., Kuhn, M., & Zerihun, A. (2022). Irrigated agriculture potential of Australia’s northern territory inferred from spatial assessment of groundwater availability and crop evapotranspiration. Agricultural Water Management, 264, 107466. https://doi.org/10.1016/j.agwat.2022.107466

Inamdar, P., Singh, T. P., Metha, K., & Kumbhar, V. (2016). Assessment of irrigation and agriculture potential of the Krishna river basin using geospatial techniques. Indian Journal of Science and Technology, 9(44), 1-9. https://doi.org/10.17485/ijst/2016/v9i44/92041

Ismail, M., Ghaffar, M. A., & Azzam, M. A. (2012). GIS application to identify the potential for certain irrigated agriculture uses on some soils in Western Desert, Egypt. The Egyptian Journal of Remote Sensing and Space Science, 15(1), 39-51. https://doi.org/10.1016/j.ejrs.2012.03.001

Kumbhar, V., Choudhury, S., Sen, A., & Singh, T. P. (2014). Assessment of Irrigation and Agriculture Potential Using Geospatial Techniques: A Case Study of “Bhima-Ujjani” Project. Procedia - Social and Behavioral Sciences, 157, 277–284. https://doi.org/10.1016/j.sbspro.2014.11.030

Liangzhi, Y., Ringler, C., Nelson, G., Wood-Sichra, U., Robertson, R., Wood, S., … & Sun, Y. (2010). What Is the Irrigation Potential for Africa? A Combined Biophysical and Socioeconomic Approach. Retrieved 8 January 2019, form http://ageconsearch.umn.edu/bitstream/93736/2/ifpridp00993.pdf

Liu, Z. F. (2022). Estimating land evapotranspiration from potential evapotranspiration constrained by soil water at daily scale. Science of The Total Environment, 834, 155327. https://doi.org/10.1016/j.scitotenv.2022.155327

Marwal, V. K., Punia, R. C., Sengar, N., Mahawar, S., & Dashora, P. (2012). A comparative study of correlation functions for estimation of monthly mean daily global solar radiation for Jaipur, Rajasthan (India). Indian Journal of Science and Technology, 5(5), 2729–2732. https://doi.org/10.17485/ijst/2012/v5i5.8

Melesse, A. M., Jordan, J. D., & Graham, W. D. (2004). Enhancing land cover mapping using Landsat derived surface temperature and NDVI. In Bridging the Gap: Meeting the World’s Water and Environmental Resources Challenges - Proceedings of the World Water and Environmental Resources Congress 2001, 111(352). https://doi.org/10.1061/40569(2001)439

Nikolaou, G., Neocleous, D., Katsoulas, N., & Kittas, C. (2019). Irrigation of greenhouse crops. Horticulturae, 5(1), 1–20. https://doi.org/10.3390/horticulturae5010007

Pereira, L. S., & Alves, I. (2004). Crop Water Requirements. Encyclopedia of Soils in the Environment, 4, 322–334. https://doi.org/10.1016/B0-12-348530-4/00255-1

Praveen, K., & Roy, L. B. (2021a). Study Of Groundwater Quality For Irrigation Purpose – A Case Study Of Paliganj Distributary , Bihar , India. Natural Volatiles & Essential Oils Journal, 8(6), 3461–3477.

Praveen, K., & Roy, L. B. (2021b). Study Of Reference Evapotranspiration Based Deficit Irrigation In The Sone Command Area In Bihar , India – A Case Study. Natural Volatiles & Essential Oils Journal, 8(6), 1242–1255.

Praveen, K., & Roy, L. B. (2022). Assessment of Groundwater Quality Using Water Quality Indices: A Case Study of Paliganj Distributary, Bihar, India. Engineering, Technology & Applied Science Research, 12(1), 8199–8203. https://doi.org/10.48084/etasr.4696

Rocha, J., Perdigão, A., Melo, R., & Henriques, C. (2010, May). Managing water in agriculture through remote sensing applications. In Proceedings of 30th EARSeL Symposium on Remote Sensing for Science, Education, and Natural and Cultural Heritage, Paris, France.

Shitu, K., & Berhanu, S. (2020). Assessment of potential suitable surface irrigation area in Borkena River Catchment, Awash Basin, Ethiopia. Journal of Water Resources and Ocean Science, 9(5), 98-106. DOI: 10.11648/j.wros.20200905.12

Sunder, S. (2018). India economic survey 2018: Farmers gain as agriculture mechanisation speeds up, but more R & D needed. Retrieved 8 January 2019, form https://www.financialexpress.com/budget/india-economic-survey-2018-for-farmers-agriculture-gdp-msp-1034266/

Worqlul, A. W., Collick, A. S., Rossiter, D. G., Langan, S., & Steenhuis, T. S. (2015). Assessment of surface water irrigation potential in the Ethiopian highlands: The Lake Tana Basin. Catena, 129, 76–85. https://doi.org/10.1016/j.catena.2015.02.020