IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v266y2022ics0378377422001391.html
   My bibliography  Save this article

Development and application of DRAINMOD model for simulating crop yield and water conservation benefits of drainage water recycling

Author

Listed:
  • Moursi, Hossam
  • Youssef, Mohamed A.
  • Chescheir, George M.

Abstract

Drainage water recycling (DWR) is an emerging practice that has the potential to increase crop yield and improve water quality. DWR involves capturing and storing subsurface drainage water and surface runoff in ponds or reservoirs, and using this water for supplemental irrigation during dry periods of the growing season. The main objective of this study was to enhance DRAINMOD model to simulate the hydrology and crop yield of DWR systems. The expanded model; named DRAINMOD-DWR, has a new module that conducts a water balance of the storage reservoir and simulates the interaction between the reservoir and the field, irrigated from and/or draining into the reservoir. The model predicts the long-term performance of DWR as affected by weather conditions, soil type, crop rotation, reservoir size, and irrigation and drainage management. Three performance metrics were defined based on model predictions to quantify irrigation, crop yield, and water capture benefits of DWR. To demonstrate the new features of the model, uncalibrated DRAINMOD-DWR was applied to a hypothetical DWR system with continuous corn using a 50-yr (1970–2019) weather record in Eastern North Carolina, U.S. Different reservoir sizes were simulated to demonstrate how the model can predict the effect of storage capacity on the system’s performance. The model predicted that a 3.0-m deep reservoir with a surface area of 4% of the field area would optimize corn yield for the simulated conditions. The model application clearly demonstrated the DRAINMOD-DWR model’s capability of optimizing the DWR system design to avoid under-sizing or over-sizing the storage reservoir, which reduces system’s performance and increases implementation cost. Research is needed to test DRAINMOD-DWR using field measured data, and to develop routines for simulating the fate and transport of nutrients and sediment in the storage reservoir, which would enable the model to predict the water quality benefits of DWR.

Suggested Citation

  • Moursi, Hossam & Youssef, Mohamed A. & Chescheir, George M., 2022. "Development and application of DRAINMOD model for simulating crop yield and water conservation benefits of drainage water recycling," Agricultural Water Management, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:agiwat:v:266:y:2022:i:c:s0378377422001391
    DOI: 10.1016/j.agwat.2022.107592
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422001391
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107592?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. Askar, Manal H & Youssef, Mohamed A & Chescheir, George M & Negm, Lamyaa M & King, Kevin W & Hesterberg, Dean L & Amoozegar, Aziz & Skaggs, R. Wayne, 2020. "DRAINMOD Simulation of macropore flow at subsurface drained agricultural fields: Model modification and field testing," Agricultural Water Management, Elsevier, vol. 242(C).
    2. Hellerstein, Daniel & Vilorio, Dennis, 2019. "Agricultural Resources and Environmental Indicators, 2019," Economic Information Bulletin 288293, United States Department of Agriculture, Economic Research Service.
    3. Ying Ouyang & Joel O. Paz & Gary Feng & John J. Read & Ardeshir Adeli & Johnie N. Jenkins, 2017. "A Model to Estimate Hydrological Processes and Water Budget in an Irrigation Farm Pond," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2225-2241, May.
    4. Garcia y Garcia, A. & Persson, T. & Guerra, L.C. & Hoogenboom, G., 2010. "Response of soybean genotypes to different irrigation regimes in a humid region of the southeastern USA," Agricultural Water Management, Elsevier, vol. 97(7), pages 981-987, July.
    5. Reinhart, Benjamin D. & Frankenberger, Jane R. & Hay, Christopher H. & Helmers, Matthew J., 2019. "Simulated water quality and irrigation benefits from drainage water recycling at two tile-drained sites in the U.S. Midwest," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    6. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    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. Rares Halbac-Cotoara-Zamfir & Asdrubal Jesus Farias-Ramirez & Jarbas Honorio de Miranda & Maria Alejandra Moreno-Pizani & Sergio Nascimento Duarte & Franklin Javier Paredes-Trejo & Luca Salvati & Cris, 2022. "Simulation of Subsurface Drainage in the Sugarcane Crop under Different Spacing and Drain Depths," Land, MDPI, vol. 11(5), pages 1-20, April.
    2. Moursi, Hossam & Youssef, Mohamed A. & Poole, Chad A. & Castro-Bolinaga, Celso F. & Chescheir, George M. & Richardson, Robert J., 2023. "Drainage water recycling reduced nitrogen, phosphorus, and sediment losses from a drained agricultural field in eastern North Carolina, U.S.A," Agricultural Water Management, Elsevier, vol. 279(C).
    3. Tang, Jianzhao & Bai, Huizi & Zhang, Xinjun & Wang, Rende & Guo, Fenghua & Xiao, Dengpan & Zhou, Haitao, 2022. "Reducing potato water footprint by adjusting planting date in the agro-pastoral ecotone in North China," Ecological Modelling, Elsevier, vol. 474(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. Negm, Lamyaa M. & Youssef, Mohamed A. & Jaynes, Dan B., 2017. "Evaluation of DRAINMOD-DSSAT simulated effects of controlled drainage on crop yield, water balance, and water quality for a corn-soybean cropping system in central Iowa," Agricultural Water Management, Elsevier, vol. 187(C), pages 57-68.
    2. Carlson, Andrea & Greene, Catherine & Raszap Skorbiansky, Sharon & Hitaj, Claudia & Ha, Kim & Cavigelli, Michel & Ferrier, Peyton & McBride, William, 2023. "U.S. Organic Production, Markets, Consumers, and Policy, 2000-21," USDA Miscellaneous 333551, United States Department of Agriculture.
    3. Hrozencik, Aaron & Aillery, Marcel, 2021. "Trends in U.S. Irrigated Agriculture: Increasing Resilience Under Water Supply Scarcity," USDA Miscellaneous 316792, United States Department of Agriculture.
    4. Moursi, Hossam & Youssef, Mohamed A. & Poole, Chad A. & Castro-Bolinaga, Celso F. & Chescheir, George M. & Richardson, Robert J., 2023. "Drainage water recycling reduced nitrogen, phosphorus, and sediment losses from a drained agricultural field in eastern North Carolina, U.S.A," Agricultural Water Management, Elsevier, vol. 279(C).
    5. Negm, L.M. & Youssef, M.A. & Chescheir, G.M. & Skaggs, R.W., 2016. "DRAINMOD-based tools for quantifying reductions in annual drainage flow and nitrate losses resulting from drainage water management on croplands in eastern North Carolina," Agricultural Water Management, Elsevier, vol. 166(C), pages 86-100.
    6. Rosenberg, Andrew B. & Pratt, Bryan & Arnold, David, 2022. "Land Use Impacts of the Conservation Reserve Program: An Analysis of Rejected CRP Offers," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316533, Agricultural and Applied Economics Association.
    7. da Silva, Evandro H.F.M. & Gonçalves, Alexandre O. & Pereira, Rodolfo A. & Fattori Júnior, Izael M. & Sobenko, Luiz R. & Marin, Fábio R., 2019. "Soybean irrigation requirements and canopy-atmosphere coupling in Southern Brazil," Agricultural Water Management, Elsevier, vol. 218(C), pages 1-7.
    8. Ying Ouyang & Gary Feng & Theodor D. Leininger & John Read & Johnie N. Jenkins, 2018. "Pond and Irrigation Model (PIM): a Tool for Simultaneously Evaluating Pond Water Availability and Crop Irrigation Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2969-2983, July.
    9. Sisi Li & Yanhua Zhuang & Hongbin Liu & Zhen Wang & Fulin Zhang & Mingquan Lv & Limei Zhai & Xianpeng Fan & Shiwei Niu & Jingrui Chen & Changxu Xu & Na Wang & Shuhe Ruan & Wangzheng Shen & Menghan Mi , 2023. "Enhancing rice production sustainability and resilience via reactivating small water bodies for irrigation and drainage," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    10. Reinhart, Benjamin D. & Frankenberger, Jane R. & Hay, Christopher H. & Helmers, Matthew J., 2019. "Simulated water quality and irrigation benefits from drainage water recycling at two tile-drained sites in the U.S. Midwest," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    11. Arora, V.K. & Singh, C.B. & Sidhu, A.S. & Thind, S.S., 2011. "Irrigation, tillage and mulching effects on soybean yield and water productivity in relation to soil texture," Agricultural Water Management, Elsevier, vol. 98(4), pages 563-568, February.
    12. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    13. Konstantinos Metaxoglou & Aaron Smith, 2022. "Nutrient Pollution and US Agriculture: Causal Effects, Integrated Assessment, and Implications of Climate Change," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 297-341, National Bureau of Economic Research, Inc.
    14. Mariusz Sojka & Michał Kozłowski & Rafał Stasik & Michał Napierała & Barbara Kęsicka & Rafał Wróżyński & Joanna Jaskuła & Daniel Liberacki & Jerzy Bykowski, 2019. "Sustainable Water Management in Agriculture—The Impact of Drainage Water Management on Groundwater Table Dynamics and Subsurface Outflow," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    15. Xie, Shuhua & Leib, Brian G. & Farhadi-Machekposhti, Mabood & Grant, Timothy James & Adotey, Nutifafa & Butler, David M., 2024. "Soybean yield response to managed depletion irrigation regimes in a Mid-South silt loam soil," Agricultural Water Management, Elsevier, vol. 292(C).
    16. Zhong, Honglin & Sun, Laixiang & Fischer, Günther & Tian, Zhan & van Velthuizen, Harrij & Liang, Zhuoran, 2017. "Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain," Agricultural Water Management, Elsevier, vol. 193(C), pages 1-12.
    17. Gunn, Kpoti M. & Baule, William J. & Frankenberger, Jane R. & Gamble, Debra L. & Allred, Barry J. & Andresen, Jeff A. & Brown, Larry C., 2018. "Modeled climate change impacts on subirrigated maize relative yield in northwest Ohio," Agricultural Water Management, Elsevier, vol. 206(C), pages 56-66.
    18. Jennifer Clapp & Sarah-Louise Ruder, 2020. "Precision Technologies for Agriculture: Digital Farming, Gene-EditedCrops, and the Politics of Sustainability," Global Environmental Politics, MIT Press, vol. 20(3), pages 49-69, August.
    19. Eva Hyánková & Michal Kriška Dunajský & Ondřej Zedník & Ondřej Chaloupka & Miroslava Pumprlová Němcová, 2021. "Irrigation with Treated Wastewater as an Alternative Nutrient Source (for Crop): Numerical Simulation," Agriculture, MDPI, vol. 11(10), pages 1-20, September.
    20. Singh, Jasreman & Ge, Yufeng & Heeren, Derek M. & Walter-Shea, Elizabeth & Neale, Christopher M.U. & Irmak, Suat & Woldt, Wayne E. & Bai, Geng & Bhatti, Sandeep & Maguire, Mitchell S., 2021. "Inter-relationships between water depletion and temperature differential in row crop canopies in a sub-humid climate," Agricultural Water Management, Elsevier, vol. 256(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:266:y:2022:i:c:s0378377422001391. 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.