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Pond and Irrigation Model (PIM): a Tool for Simultaneously Evaluating Pond Water Availability and Crop Irrigation Demand

Author

Listed:
  • Ying Ouyang

    (Center for Bottomland Hardwoods Research)

  • Gary Feng

    (Genetic and Sustainable Agricultural Research Unit)

  • Theodor D. Leininger

    (Center for Bottomland Hardwoods Research)

  • John Read

    (Genetic and Sustainable Agricultural Research Unit)

  • Johnie N. Jenkins

    (Genetic and Sustainable Agricultural Research Unit)

Abstract

Agricultural ponds are an important alternative source of water for crop irrigation to conserve surface and ground water resources. In recent years more such ponds have been constructed in Mississippi and around the world. There is currently, however, a lack of a tool to simultaneously estimate crop irrigation demand and pond water availability. In this study, a Pond-Irrigation Model (PIM) was developed to meet this need using STELLA (Structural Thinking, Experiential Learning Laboratory with Animation) software. PIM simulated crop land and agricultural pond hydrological processes such as surface runoff, soil drainage, and evapotranspiration as well as crop irrigation demand and pond water availability. More importantly, PIM was able to decide when to conduct crop irrigation based on management allowable depletion (MAD) root zone soil water content and to determine optimal ratios of agricultural pond size to crop land with sufficient pond water available for crop irrigation. As a case demonstration, the model was applied to concomitantly estimate row crops (i.e., corn, cotton, and soybeans) water irrigation demand and pond water availability in a farm located at East-central Mississippi. Simulations revealed that corn used more soil water for growth than soybeans, whereas soybeans needed more irrigation water than corn and occurred due to less rainwater available for soybeans growth. We also found that there was one time for corn, zero time for cotton, and two times for soybeans when the pond water level was drawn to near zero for irrigation from 2005 to 2014. PIM developed in this study is a useful tool for estimating crop irrigation demand and pond water availability simultaneously.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:9:d:10.1007_s11269-018-1967-8
    DOI: 10.1007/s11269-018-1967-8
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    References listed on IDEAS

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    1. Carvajal, F. & Agüera, F. & Sánchez-Hermosilla, J., 2014. "Water balance in artificial on-farm agricultural water reservoirs for the irrigation of intensive greenhouse crops," Agricultural Water Management, Elsevier, vol. 131(C), pages 146-155.
    2. 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.
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    Cited by:

    1. Belén López-Felices & José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & María Piquer-Rodríguez, 2020. "Contribution of Irrigation Ponds to the Sustainability of Agriculture. A Review of Worldwide Research," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    2. Fernando Espejo & José-Luis Molina & Santiago Zazo & Rubén Muñoz-Sánchez, 2022. "Innovative Risk Assessment Framework for Hydraulic Control of Irrigation Reservoirs´ Breaching," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2161-2177, May.
    3. Paulilo Brasil & Pedro Medeiros, 2020. "NeStRes – Model for Operation of Non-Strategic Reservoirs for Irrigation in Drylands: Model Description and Application to a Semiarid Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 195-210, January.
    4. Han Chen & Jinhui Jeanne Huang & Kai Wang & Edward McBean, 2020. "Quantitative Assessment of Agricultural Practices on Farmland Evapotranspiration Using EddyCovariance Method and Numerical Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 515-527, January.
    5. Yang, Jia & Ren, Wei & Ouyang, Ying & Feng, Gary & Tao, Bo & Granger, Joshua J. & Poudel, Krishna P., 2019. "Projection of 21st century irrigation water requirement across the Lower Mississippi Alluvial Valley," Agricultural Water Management, Elsevier, vol. 217(C), pages 60-72.
    6. Zhiyong Wu & Huihui Feng & Hai He & Jianhong Zhou & Yuliang Zhang, 2021. "Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 629-643, January.

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