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Loosely coupled SaltMod for simulating groundwater and salt dynamics under well-canal conjunctive irrigation in semi-arid areas

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Listed:
  • Mao, Wei
  • Yang, Jinzhong
  • Zhu, Yan
  • Ye, Ming
  • Wu, Jingwei

Abstract

Long-term predictions of regional groundwater and salt dynamics are important for maintaining agricultural sustainability in semi-arid areas where the conjunctive irrigation of groundwater and surface water is used. In this study, the mass balance model, SaltMod, is loosely coupled for simulating groundwater and salt dynamics under complex conditions of the well-canal conjunctive irrigation. In the loosely coupled model, two SaltMod models are used to simulate the canal- and well-irrigated areas separately, and an exchange flux is used as an additional mass balance term for calculating the mass balance of the canal- and well-irrigated areas. This makes it possible to use SaltMod (without modifying its source codes) for simulating well-canal conjunctive irrigation with multiple irrigation sources and different groundwater levels in the groundwater aquifer. The loosely coupled SaltMod is applied to simulate the flow of irrigation water and the salt transport at the Longsheng well-canal irrigated area in Hetao Irrigation District, Inner Mongolia, China. Measurements of soil salinity and groundwater level are used to calibrate SaltMod model parameters, and the calibrated model is used to predict groundwater level and soil salinity for the next 100 years under the current climate and irrigation conditions. The predictions indicate a slight salinization trend in the root zone of the well-irrigated area and a slight desalinization trend in the root zone of the canal-irrigated area, and salt accumulation mainly occurs in the aquifers of the well- and canal-irrigated areas. However, the amount of salt accumulated in the root zone of the well-irrigated area is small enough not to impact agricultural production. Therefore, the Longsheng well-canal irrigated area can sustain a long-term development under the present irrigation practice. Increasing the autumn irrigation water amount or decreasing the groundwater level in the future in the well-irrigated area can slightly alleviate the soil salinity, but cannot change the salinization trend in the root zone of the well-irrigated area.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:192:y:2017:i:c:p:209-220
    DOI: 10.1016/j.agwat.2017.07.012
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    1. Xu, Xu & Huang, Guanhua & Qu, Zhongyi & Pereira, Luis S., 2010. "Assessing the groundwater dynamics and impacts of water saving in the Hetao Irrigation District, Yellow River basin," Agricultural Water Management, Elsevier, vol. 98(2), pages 301-313, December.
    2. Panigrahi, B. & Panda, Sudhindra N., 2003. "Field test of a soil water balance simulation model," Agricultural Water Management, Elsevier, vol. 58(3), pages 223-240, February.
    3. Yao, Rong-jiang & Yang, Jing-song & Zhang, Tong-juan & Hong, Li-zhou & Wang, Mao-wen & Yu, Shi-peng & Wang, Xiang-ping, 2014. "Studies on soil water and salt balances and scenarios simulation using SaltMod in a coastal reclaimed farming area of eastern China," Agricultural Water Management, Elsevier, vol. 131(C), pages 115-123.
    4. 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.
    5. Azaiez, M. N., 2002. "A model for conjunctive use of ground and surface water with opportunity costs," European Journal of Operational Research, Elsevier, vol. 143(3), pages 611-624, December.
    6. Zhu, Yan & Yang, Jinzhong & Ye, Ming & Sun, Huaiwei & Shi, Liangsheng, 2017. "Development and application of a fully integrated model for unsaturated-saturated nitrogen reactive transport," Agricultural Water Management, Elsevier, vol. 180(PA), pages 35-49.
    7. Ma, Ying & Feng, Shaoyuan & Song, Xianfang, 2013. "A root zone model for estimating soil water balance and crop yield responses to deficit irrigation in the North China Plain," Agricultural Water Management, Elsevier, vol. 127(C), pages 13-24.
    8. Singh, Ajay, 2014. "Simulation–optimization modeling for conjunctive water use management," Agricultural Water Management, Elsevier, vol. 141(C), pages 23-29.
    9. 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.
    10. Karimov, A. & Molden, D. & Khamzina, T. & Platonov, A. & Ivanov, Yu., 2012. "A water accounting procedure to determine the water savings potential of the Fergana Valley," Agricultural Water Management, Elsevier, vol. 108(C), pages 61-72.
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    1. Singh, Ajay, 2018. "Assessment of different strategies for managing the water resources problems of irrigated agriculture," Agricultural Water Management, Elsevier, vol. 208(C), pages 187-192.
    2. Sun, Guanfang & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Qu, Zhongyi & Mao, Wei & Wu, Jingwei, 2019. "Development and application of long-term root zone salt balance model for predicting soil salinity in arid shallow water table area," Agricultural Water Management, Elsevier, vol. 213(C), pages 486-498.
    3. Zhang, Tibin & Zou, Yufeng & Kisekka, Isaya & Biswas, Asim & Cai, Huanjie, 2021. "Comparison of different irrigation methods to synergistically improve maize’s yield, water productivity and economic benefits in an arid irrigation area," Agricultural Water Management, Elsevier, vol. 243(C).
    4. 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).

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