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Validation of SaltMod for a semi-arid part of northwest India and some options for control of waterlogging

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  • Singh, Ajay

Abstract

Irrigated agriculture faces serious threats of waterlogging and soil salinisation in the arid and semi-arid regions of the world. To evaluate different options to solve the problem, the computer based simulation model, SaltMod was applied in a waterlogged area of Haryana State in India. After successful calibration (10 years) and validation (10 years), several alternative water management scenarios were studied for their long-term (15 years) impacts on groundwater levels and salinities. The alternative scenarios revealed that the groundwater levels would continue to rise in the long-run under the existing cropping patterns. Thus, suitable water management strategies such as reduction in rice area by 5–9%, reduction in canal water use by 7–10%, and increase in groundwater use by 6–8%, are suggested to bring the groundwater level down to a safe depth and to prevent further rising of the groundwater level.

Suggested Citation

  • Singh, Ajay, 2012. "Validation of SaltMod for a semi-arid part of northwest India and some options for control of waterlogging," Agricultural Water Management, Elsevier, vol. 115(C), pages 194-202.
    • Handle: RePEc:eee:agiwat:v:115:y:2012:i:c:p:194-202
    DOI: 10.1016/j.agwat.2012.09.007
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    References listed on IDEAS

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    1. Xu Xu & Guanhua Huang & Zhongyi Qu & Luis Pereira, 2011. "Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2035-2059, June.
    2. Singh, Man & Bhattacharya, A. K. & Nair, T. V. R. & Singh, A. K., 2002. "Nitrogen loss through subsurface drainage effluent in coastal rice field from India," Agricultural Water Management, Elsevier, vol. 52(3), pages 249-260, January.
    3. Singh, Ajay & Krause, Peter & Panda, Sudhindra N. & Flugel, Wolfgang-Albert, 2010. "Rising water table: A threat to sustainable agriculture in an irrigated semi-arid region of Haryana, India," Agricultural Water Management, Elsevier, vol. 97(10), pages 1443-1451, October.
    4. Tyagi, N. K. & Sharma, D. K. & Luthra, S. K., 2000. "Determination of evapotranspiration and crop coefficients of rice and sunflower with lysimeter," Agricultural Water Management, Elsevier, vol. 45(1), pages 41-54, June.
    5. Sarangi, A. & Singh, Man & Bhattacharya, A.K. & Singh, A.K., 2006. "Subsurface drainage performance study using SALTMOD and ANN models," Agricultural Water Management, Elsevier, vol. 84(3), pages 240-248, August.
    6. Bahceci, Idris & Dinc, Nazmi & Tari, Ali Fuat & Agar, Ahmet I. & Sonmez, Bulent, 2006. "Water and salt balance studies, using SaltMod, to improve subsurface drainage design in the Konya-Cumra Plain, Turkey," Agricultural Water Management, Elsevier, vol. 85(3), pages 261-271, October.
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    Cited by:

    1. Mao, Wei & Yang, Jinzhong & Zhu, Yan & Ye, Ming & Wu, Jingwei, 2017. "Loosely coupled SaltMod for simulating groundwater and salt dynamics under well-canal conjunctive irrigation in semi-arid areas," Agricultural Water Management, Elsevier, vol. 192(C), pages 209-220.
    2. Wen, Yeqiang & Shang, Songhao & Rahman, Khalil Ur & Xia, Yuhong & Ren, Dongyang, 2020. "A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region," Agricultural Water Management, Elsevier, vol. 230(C).
    3. Singh, Ajay & Panda, Sudhindra Nath, 2012. "Development and application of an optimization model for the maximization of net agricultural return," Agricultural Water Management, Elsevier, vol. 115(C), pages 267-275.

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