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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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  • 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.

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  • 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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    4. Wang, Rong & Huang, Guanhua & Xu, Xu & Ren, Dongyang & Gou, Jiachao & Wu, Zhangsheng, 2022. "Significant differences in agro-hydrological processes and water productivity between canal- and well-irrigated areas in an arid region," Agricultural Water Management, Elsevier, vol. 267(C).
    5. 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.
    6. Guoshuai Wang & Bing Xu & Pengcheng Tang & Haibin Shi & Delong Tian & Chen Zhang & Jie Ren & Zekun Li, 2022. "Modeling and Evaluating Soil Salt and Water Transport in a Cultivated Land–Wasteland–Lake System of Hetao, Yellow River Basin’s Upper Reaches," Sustainability, MDPI, vol. 14(21), pages 1-23, November.
    7. Tiago B. Ramos & Meihan Liu & Haibin Shi & Paula Paredes & Luis S. Pereira, 2024. "Leaching Efficiency During Autumn Irrigation in China’s Arid Hetao Plain as Influenced by the Depth of Shallow Saline Groundwater and Irrigation Depth, Using Data from Static Water-Table Lysimeters an," Land, MDPI, vol. 13(11), pages 1-11, October.
    8. Dou, Xu & Shi, Haibin & Li, Ruiping & Miao, Qingfeng & Yan, Jianwen & Tian, Feng & Wang, Bo, 2022. "Simulation and evaluation of soil water and salt transport under controlled subsurface drainage using HYDRUS-2D model," Agricultural Water Management, Elsevier, vol. 273(C).
    9. 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).
    10. Ramos, Tiago B. & Liu, Meihan & Paredes, Paula & Shi, Haibin & Feng, Zhuangzhuang & Lei, Huimin & Pereira, Luis S., 2023. "Salts dynamics in maize irrigation in the Hetao plateau using static water table lysimeters and HYDRUS-1D with focus on the autumn leaching irrigation," Agricultural Water Management, Elsevier, vol. 283(C).
    11. Feng, Genxiang & Zhu, Chengli & Wu, Qingfeng & Wang, Ce & Zhang, Zhanyu & Mwiya, Richwell Mubita & Zhang, Li, 2021. "Evaluating the impacts of saline water irrigation on soil water-salt and summer maize yield in subsurface drainage condition using coupled HYDRUS and EPIC model," Agricultural Water Management, Elsevier, vol. 258(C).
    12. Yannan Liu & Yan Zhu & Wei Mao & Guanfang Sun & Xudong Han & Jingwei Wu & Jinzhong Yang, 2022. "Development and Application of a Water and Salt Balance Model for Well-Canal Conjunctive Irrigation in Semiarid Areas with Shallow Water Tables," Agriculture, MDPI, vol. 12(3), pages 1-25, March.
    13. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    14. 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.
    15. Yang, Yang & Zhu, Yan & Wu, Jingwei & Mao, Wei & Ye, Ming & Yang, Jinzhong, 2022. "Development and application of a new package for MODFLOW-LGR-MT3D for simulating regional groundwater and salt dynamics with subsurface drainage systems," Agricultural Water Management, Elsevier, vol. 260(C).
    16. 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).
    17. Mayank Bajpai & Shreyansh Mishra & Shishir Gaur & Anurag Ohri & Hervé Piégay & Didier Graillot, 2022. "Optimization of Groundwater Pumping and River-Aquifer Exchanges for Management of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1863-1878, April.
    18. Yunquan Zhang & Peiling Yang, 2023. "A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China," Sustainability, MDPI, vol. 15(5), pages 1-20, March.

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