IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v185y2017icp27-42.html
   My bibliography  Save this article

Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal

Author

Listed:
  • Ramos, T.B.
  • Simionesei, L.
  • Jauch, E.
  • Almeida, C.
  • Neves, R.

Abstract

The southern European region faces increasing pressure on fresh water resources due to economic development and climate change. Integrative modelling operational tools capable of simulating the full soil-water-atmosphere transfer system are needed to improve agricultural water management at the plot scale. In this study, the MOHID-Land model was used to simulate soil water dynamics and maize growth in a plot located in the Sorraia Valley region, southern Portugal, during the 2014 and 2015 growing seasons. The simulated crop parameters included the leaf area index, canopy height, aboveground biomass, and maize yields. A system-dependent boundary condition that triggered irrigation when a certain threshold pressure head (ht) was reached in the root zone domain was also implemented in MOHID-Land. This boundary condition was used to optimize the irrigation scheduling practices in scenarios with different groundwater depths and ht values. MOHID-Land successfully simulated soil water contents and crop growth during the monitored crop seasons, producing acceptable errors of the estimates after normalization (0.061≤NRMSE≤0.390), and relatively high modelling efficiencies (0.11≤EF≤0.94). Model simulations further showed the importance of capillary rise (CR) to the soil water balance, and confirmed the inefficient water use of current irrigation practices. The analyses of the irrigation scenarios showed an increase of CR from 17.7 to 66.9% of the actual evapotranspiration values after optimizing the irrigation scheduling practices, and the contribution of the shallow groundwater to the root zone. Water productivity also increased up to 12% when compared with the farmer’s standard irrigation practices. The MOHID-Land model proved to be an effective tool for irrigation water management in the Sorraia Valley region.

Suggested Citation

  • Ramos, T.B. & Simionesei, L. & Jauch, E. & Almeida, C. & Neves, R., 2017. "Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal," Agricultural Water Management, Elsevier, vol. 185(C), pages 27-42.
    • Handle: RePEc:eee:agiwat:v:185:y:2017:i:c:p:27-42
    DOI: 10.1016/j.agwat.2017.02.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377417300513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2017.02.007?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. Chiu Yu Ko & Mark Koyama & Tuan†Hwee Sng, 2018. "Unified China And Divided Europe," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(1), pages 285-327, February.
    2. Skaggs, Todd H. & van Genuchten, Martinus Th. & Shouse, Peter J. & Poss, James A., 2006. "Macroscopic approaches to root water uptake as a function of water and salinity stress," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 140-149, November.
    3. Wang, Jun & Huang, Guanhua & Zhan, Hongbin & Mohanty, Binayak P. & Zheng, Jianhua & Huang, Quanzhong & Xu, Xu, 2014. "Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model," Agricultural Water Management, Elsevier, vol. 141(C), pages 10-22.
    4. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
    5. Ficklin, Darren L. & Luedeling, Eike & Zhang, Minghua, 2010. "Sensitivity of groundwater recharge under irrigated agriculture to changes in climate, CO2 concentrations and canopy structure," Agricultural Water Management, Elsevier, vol. 97(7), pages 1039-1050, July.
    6. Ko, Chiu Yu & Koyama, Mark & Sng, Tuan-Hwee, 2014. "Unified China; Divided Europe," MPRA Paper 60418, University Library of Munich, Germany.
    7. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    8. Yu, Q. & Saseendran, S.A. & Ma, L. & Flerchinger, G.N. & Green, T.R. & Ahuja, L.R., 2006. "Modeling a wheat-maize double cropping system in China using two plant growth modules in RZWQM," Agricultural Systems, Elsevier, vol. 89(2-3), pages 457-477, September.
    9. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    10. Pereira, Luis S. & Cordery, Ian & Iacovides, Iacovos, 2012. "Improved indicators of water use performance and productivity for sustainable water conservation and saving," Agricultural Water Management, Elsevier, vol. 108(C), pages 39-51.
    11. Cameira, M.R. & Fernando, R.M. & Ahuja, L.R. & Ma, L., 2007. "Using RZWQM to simulate the fate of nitrogen in field soil-crop environment in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 121-136, May.
    12. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    13. Han, Ming & Zhao, Chengyi & Šimůnek, Jirka & Feng, Gary, 2015. "Evaluating the impact of groundwater on cotton growth and root zone water balance using Hydrus-1D coupled with a crop growth model," Agricultural Water Management, Elsevier, vol. 160(C), pages 64-75.
    14. Šimůnek, Jiří & Hopmans, Jan W., 2009. "Modeling compensated root water and nutrient uptake," Ecological Modelling, Elsevier, vol. 220(4), pages 505-521.
    15. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    16. Cameira, M. R. & Fernando, R. M. & Pereira, L. S., 2003. "Monitoring water and NO3-N in irrigated maize fields in the Sorraia Watershed, Portugal," Agricultural Water Management, Elsevier, vol. 60(3), pages 199-216, May.
    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. Huang, Zhenyu & Zhang, Junxiao & Ren, Dongyang & Hu, Jiaqi & Xia, Guimin & Pan, Baozhu, 2022. "Modeling and assessing water and nitrogen use and crop growth of peanut in semi-arid areas of Northeast China," Agricultural Water Management, Elsevier, vol. 267(C).
    2. Li, Xudong & Zhao, Yong & Xiao, Weihua & Yang, Mingzhi & Shen, Yanjun & Min, Leilei, 2017. "Soil moisture dynamics and implications for irrigation of farmland with a deep groundwater table," Agricultural Water Management, Elsevier, vol. 192(C), pages 138-148.
    3. Carina Almeida & Tiago B. Ramos & João Sobrinho & Ramiro Neves & Rodrigo Proença de Oliveira, 2019. "An Integrated Modelling Approach to Study Future Water Demand Vulnerability in the Montargil Reservoir Basin, Portugal," Sustainability, MDPI, vol. 11(1), pages 1-20, January.
    4. Abimbola, Olufemi P. & Franz, Trenton E. & Rudnick, Daran & Heeren, Derek & Yang, Haishun & Wolf, Adam & Katimbo, Abia & Nakabuye, Hope N. & Amori, Anthony, 2022. "Improving crop modeling to better simulate maize yield variability under different irrigation managements," Agricultural Water Management, Elsevier, vol. 262(C).
    5. Ramos, Tiago B. & Darouich, Hanaa & Šimůnek, Jiří & Gonçalves, Maria C. & Martins, José C., 2019. "Soil salinization in very high-density olive orchards grown in southern Portugal: Current risks and possible trends," Agricultural Water Management, Elsevier, vol. 217(C), pages 265-281.
    6. 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).
    7. Wang, Aihua & Gallardo, Marisa & Zhao, Wei & Zhang, Zhiping & Miao, Minmin, 2019. "Yield, nitrogen uptake and nitrogen leaching of tunnel greenhouse grown cucumber in a shallow groundwater region," Agricultural Water Management, Elsevier, vol. 217(C), pages 73-80.
    8. Rong, Yao & Dai, Xiaoqin & Wang, Weishu & Wu, Peijin & Huo, Zailin, 2023. "Dependence of evapotranspiration validity on shallow groundwater in arid area-a three years field observation experiment," Agricultural Water Management, Elsevier, vol. 286(C).
    9. Hou, Chenli & Tian, Delong & Xu, Bing & Ren, Jie & Hao, Lei & Chen, Ning & Li, Xianyue, 2021. "Use of the stable oxygen isotope method to evaluate the difference in water consumption and utilization strategy between alfalfa and maize fields in an arid shallow groundwater area," Agricultural Water Management, Elsevier, vol. 256(C).
    10. Ramos, Tiago B. & Oliveira, Ana R. & Darouich, Hanaa & Gonçalves, Maria C. & Martínez-Moreno, Francisco J. & Rodríguez, Mario Ramos & Vanderlinden, Karl & Farzamian, Mohammad, 2023. "Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging," Agricultural Water Management, Elsevier, vol. 288(C).
    11. Xu, Xu & Sun, Chen & Neng, Fengtian & Fu, Jing & Huang, Guanhua, 2018. "AHC: An integrated numerical model for simulating agroecosystem processes—Model description and application," Ecological Modelling, Elsevier, vol. 390(C), pages 23-39.

    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. Ramos, Tiago B. & Darouich, Hanaa & Šimůnek, Jiří & Gonçalves, Maria C. & Martins, José C., 2019. "Soil salinization in very high-density olive orchards grown in southern Portugal: Current risks and possible trends," Agricultural Water Management, Elsevier, vol. 217(C), pages 265-281.
    2. Wang, Xiangping & Liu, Guangming & Yang, Jingsong & Huang, Guanhua & Yao, Rongjiang, 2017. "Evaluating the effects of irrigation water salinity on water movement, crop yield and water use efficiency by means of a coupled hydrologic/crop growth model," Agricultural Water Management, Elsevier, vol. 185(C), pages 13-26.
    3. Xu, Xu & Sun, Chen & Neng, Fengtian & Fu, Jing & Huang, Guanhua, 2018. "AHC: An integrated numerical model for simulating agroecosystem processes—Model description and application," Ecological Modelling, Elsevier, vol. 390(C), pages 23-39.
    4. 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).
    5. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    6. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    7. Genxiang Feng & Zhanyu Zhang & Zemin Zhang, 2019. "Evaluating the Sustainable Use of Saline Water Irrigation on Soil Water-Salt Content and Grain Yield under Subsurface Drainage Condition," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    8. 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).
    9. Chen, Shilei & Huo, Zailin & Xu, Xu & Huang, Guanhua, 2019. "A conceptual agricultural water productivity model considering under field capacity soil water redistribution applicable for arid and semi-arid areas with deep groundwater," Agricultural Water Management, Elsevier, vol. 213(C), pages 309-323.
    10. Siad, Si Mokrane & Iacobellis, Vito & Zdruli, Pandi & Gioia, Andrea & Stavi, Ilan & Hoogenboom, Gerrit, 2019. "A review of coupled hydrologic and crop growth models," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    11. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    12. Li, Danfeng, 2020. "Quantifying water use and groundwater recharge under flood irrigation in an arid oasis of northwestern China," Agricultural Water Management, Elsevier, vol. 240(C).
    13. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    14. Shouse, Peter J. & Ayars, James E. & Simunek, Jirí, 2011. "Simulating root water uptake from a shallow saline groundwater resource," Agricultural Water Management, Elsevier, vol. 98(5), pages 784-790, March.
    15. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
    16. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    17. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    18. Sonkar, Ickkshaanshu & Kotnoor, Hari Prasad & Sen, Sumit, 2019. "Estimation of root water uptake and soil hydraulic parameters from root zone soil moisture and deep percolation," Agricultural Water Management, Elsevier, vol. 222(C), pages 38-47.
    19. 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).
    20. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).

    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:185:y:2017:i:c:p:27-42. 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.