IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v277y2023ics0378377422006424.html
   My bibliography  Save this article

Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia

Author

Listed:
  • Cao, Zhaodan
  • Zhu, Tingju
  • Cai, Ximing

Abstract

Water shortage and soil salinization are the key limiting factors in agricultural production of arid and semi-arid regions. Located in western Inner Mongolia of China, the Hetao Irrigation District (HID) is one of the top three largest irrigation districts in China. Irrigation water overuse and high level of soil salinity have curbed the agricultural productivity, adversely affected farmers’ revenues, and threatened long-term sustainability of irrigated farming in the HID. Nevertheless, opportunities still exist to improve the situation. Irrigation water allocation, salt accumulation and leaching, crop productivity and farming decisions are intrinsically connected and thus require taking a holistic approach to investigate into the interactions among all those factors and devise appropriate technological, management and policy interventions. Towards this goal, we develop an integrated hydro-agro-economic optimization model to reconcile agricultural net revenue, irrigation practices, and environmental sustainability in the HID. Positive Mathematical Programming is used for model calibration to ensure the model can replicate the base year observations of crop acreage, making the model suitable for evaluating alternative scenarios. Scenario analyses are conducted to analyze the effects of water supply reduction, reducing winter irrigation, water-saving irrigation, and crop commodity price change on optimal agricultural water management practices. Results show that water supply reduction without complementary measures increases land fallow, exacerbates soil salinization, and reduces net benefits. Winter irrigation can conserve soil moisture and increase the net salt leaching in the root zone, and a reduction in winter irrigation will incur a benefit loss to the HID. Water-saving irrigation can stabilize planting areas under water shortage but exacerbate soil salinization. Price increase of a cash crop, if it has a large area share, tends to “crowd out” grain crops growing in the same season. These results provide a holistic perspective and useful insights for water management and policy in the HID.

Suggested Citation

  • Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
  • Handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006424
    DOI: 10.1016/j.agwat.2022.108095
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422006424
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2022.108095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Niu, Geng & Zheng, Yi & Han, Feng & Qin, Huapeng, 2019. "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    2. Li, Xuemin & Zhang, Chenglong & Huo, Zailin & Adeloye, Adebayo J., 2020. "A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area," Agricultural Water Management, Elsevier, vol. 231(C).
    3. Kotb, Tarek H. S. & Watanabe, Tsugihiro & Ogino, Yoshihiko & Tanji, Kenneth K., 2000. "Soil salinization in the Nile Delta and related policy issues in Egypt," Agricultural Water Management, Elsevier, vol. 43(2), pages 239-261, March.
    4. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    5. Cloé Garnache & Pierre Mérel & Richard Howitt & Juhwan Lee, 2017. "Calibration of shadow values in constrained optimisation models of agricultural supply," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(3), pages 363-397.
    6. Pierre Mérel & Richard Howitt, 2014. "Theory and Application of Positive Mathematical Programming in Agriculture and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 451-470, October.
    7. 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.
    8. Li, Jiang & Song, Jian & Li, Mo & Shang, Songhao & Mao, Xiaomin & Yang, Jian & Adeloye, Adebayo J., 2018. "Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty," Agricultural Water Management, Elsevier, vol. 208(C), pages 245-260.
    9. Karimov, Akmal Kh. & Šimůnek, Jirka & Hanjra, Munir A. & Avliyakulov, Mirzaolim & Forkutsa, Irina, 2014. "Effects of the shallow water table on water use of winter wheat and ecosystem health: Implications for unlocking the potential of groundwater in the Fergana Valley (Central Asia)," Agricultural Water Management, Elsevier, vol. 131(C), pages 57-69.
    10. Mao, Wei & Zhu, Yan & Wu, Jingwei & Ye, Ming & Yang, Jinzhong, 2022. "Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 262(C).
    11. 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.
    12. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    13. Bruno Henry Frahan & Jeroen Buysse & Philippe Polomé & Bruno Fernagut & Olivier Harmignie & Ludwig Lauwers & Guido Huylenbroeck & Jef Meensel, 2007. "Positive Mathematical Programming for Agricultural and Environmental Policy Analysis: Review and Practice," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 129-154, Springer.
    14. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    15. Knapp, Keith C. & Baerenklau, Kenneth A., 2006. "Ground Water Quantity and Quality Management: Agricultural Production and Aquifer Salinization over Long Time Scales," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-26, December.
    16. Song, Jianfeng & Guo, Yanan & Wu, Pute & Sun, SHikun, 2018. "The Agricultural Water Rebound Effect in China," Ecological Economics, Elsevier, vol. 146(C), pages 497-506.
    17. 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.
    18. Ji, Xi-Bin & Kang, Er-Si & Chen, Ren-Sheng & Zhao, Wen-Zhi & Zhang, Zhi-Hui & Jin, Bo-Wen, 2007. "A mathematical model for simulating water balances in cropped sandy soil with conventional flood irrigation applied," Agricultural Water Management, Elsevier, vol. 87(3), pages 337-346, February.
    19. Haoyang Li & Jinhua Zhao, 2018. "Rebound Effects of New Irrigation Technologies: The Role of Water Rights," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 786-808.
    20. Xu, Hang & Song, Jianfeng, 2022. "Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    21. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Guanhua, 2018. "Growth responses of crops and natural vegetation to irrigation and water table changes in an agro-ecosystem of Hetao, upper Yellow River basin: Scenario analysis on maize, sunflower, watermelon and ta," Agricultural Water Management, Elsevier, vol. 199(C), pages 93-104.
    22. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    23. 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).
    24. Zhang, Xiaoxing & Guo, Ping & Zhang, Fan & Liu, Xiao & Yue, Qiong & Wang, Youzhi, 2021. "Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties," Agricultural Water Management, Elsevier, vol. 246(C).
    25. Wen, Yeqiang & Shang, Songhao & Yang, Jian, 2017. "Optimization of irrigation scheduling for spring wheat with mulching and limited irrigation water in an arid climate," Agricultural Water Management, Elsevier, vol. 192(C), pages 33-44.
    26. Singh, Ajay, 2014. "Simulation–optimization modeling for conjunctive water use management," Agricultural Water Management, Elsevier, vol. 141(C), pages 23-29.
    27. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    28. Medellín-Azuara, J. & Howitt, R.E. & Harou, J.J., 2012. "Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology," Agricultural Water Management, Elsevier, vol. 108(C), pages 73-82.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Manman Peng & Chaoqun Li & Peng Wang & Xincong Dai, 2024. "Spatio-Temporal Variation and Future Sustainability of Net Primary Productivity from 2001 to 2021 in Hetao Irrigation District, Inner Mongolia," Agriculture, MDPI, vol. 14(4), pages 1-19, April.
    3. Fu, Chong & Xue, Jing & Chen, Junfeng & Cui, Lihong & Wang, Hui, 2024. "Evaluating spatial and temporal variations of soil water, heat, and salt under autumn irrigation in the Hetao Irrigation District based on distributed SHAW model," Agricultural Water Management, Elsevier, vol. 293(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Li, Jiang & Shang, Songhao & Jiang, Hongzhe & Song, Jian & Rahman, Khalil Ur & Adeloye, Adebayo J., 2021. "Simulation-based optimization for spatiotemporal allocation of irrigation water in arid region," Agricultural Water Management, Elsevier, vol. 254(C).
    3. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    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. 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).
    6. 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).
    7. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Montilla-López, Nazaret M., 2021. "Priority water rights. Are they useful for improving water-use efficiency at the irrigation district level?," Agricultural Water Management, Elsevier, vol. 257(C).
    8. Umed Temurshoev & Marian Mraz & Luis Delgado Sancho & Peter Eder, 2015. "EU Petroleum Refining Fitness Check: OURSE Modelling and Results," JRC Research Reports JRC96207, Joint Research Centre.
    9. Mao, Wei & Zhu, Yan & Wu, Jingwei & Ye, Ming & Yang, Jinzhong, 2022. "Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 262(C).
    10. Umed Temurshoev & Fréderic Lantz, 2016. "Long-term petroleum product supply analysis through a robust modelling approach," Working Papers 2016-003, Universidad Loyola Andalucía, Department of Economics.
    11. Lee, Hwarang & Eom, Jiyong & Cho, Cheolhung & Koo, Yoonmo, 2019. "A bottom-up model of industrial energy system with positive mathematical programming," Energy, Elsevier, vol. 173(C), pages 679-690.
    12. Li, Xuemin & Zhang, Jingwen & Cai, Ximing & Huo, Zailin & Zhang, Chenglong, 2023. "Simulation-optimization based real-time irrigation scheduling: A human-machine interactive method enhanced by data assimilation," Agricultural Water Management, Elsevier, vol. 276(C).
    13. Kooten, G. Cornelis van, 2013. "Modeling Forest Trade in Logs and Lumber: Qualitative and Quantitative Analysis," Working Papers 149182, University of Victoria, Resource Economics and Policy.
    14. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    15. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    16. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    17. Liu, Xuan & van Kooten, Gerrit Cornelis & Duan, Jun, 2020. "Calibration of agricultural risk programming models using positive mathematical programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    18. Wu, Hui & Yue, Qiong & Guo, Ping & Xu, Xiaoyu & Huang, Xi, 2022. "Improving the AquaCrop model to achieve direct simulation of evapotranspiration under nitrogen stress and joint simulation-optimization of irrigation and fertilizer schedules," Agricultural Water Management, Elsevier, vol. 266(C).
    19. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    20. Mack, Gabriele & Ferjani, Ali & Mohring, Anke & Zimmerman, Albert & Mann, Stefan, 2015. "How did farmers act? An ex-post validation of normative and positive mathematical programming for an agent-based sector model," 2015 Conference, August 9-14, 2015, Milan, Italy 212201, International Association of Agricultural Economists.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006424. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.