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Supply and Demand Analysis of Water Resources. Case Study: Irrigation Water Demand in a Semi-Arid Zone in Mexico

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  • Alvaro Alberto López-Lambraño

    (Faculty of Engineering, Architecture and Design, Universidad Autónoma de Baja California, Baja California 22860, Mexico
    Hidrus S.A. de C.V., Ensenada 22760, Mexico
    Grupo Hidrus S.A.S., Montería 230002, Colombia)

  • Luisa Martínez-Acosta

    (Faculty of Engineering, Architecture and Design, Universidad Autónoma de Baja California, Baja California 22860, Mexico
    GICA Group, Faculty of Civil Engineering, Universidad Pontificia Bolivariana Campus Monería, Montería 230002, Córdoba, Colombia)

  • Ena Gámez-Balmaceda

    (Faculty of Engineering, Architecture and Design, Universidad Autónoma de Baja California, Baja California 22860, Mexico
    Instituto de Investigaciones Oceanólogicas, Universidad Autónoma de Baja California, Baja California 22860, Mexico)

  • Juan Pablo Medrano-Barboza

    (GICA Group, Faculty of Civil Engineering, Universidad Pontificia Bolivariana Campus Monería, Montería 230002, Córdoba, Colombia)

  • John Freddy Remolina López

    (ITEM Group, Faculty of Electronic Engineering Universidad Pontificia Bolivariana Campus Montería, Montería 230002, Córdoba, Colombia)

  • Alvaro López-Ramos

    (GICA Group, Faculty of Civil Engineering, Universidad Pontificia Bolivariana Campus Monería, Montería 230002, Córdoba, Colombia)

Abstract

To sustainably use water resources, it is important to quantify water availability in a certain region. Due to climate change, population increase, and economic development, water demand increases continuously. Consequently, the difference between supply and demand of water becomes a significant issue, especially in arid and semi-arid regions. In this research, the Soil and Water Assessment Tool (SWAT) model has been applied to the Guadalupe river basin, to assess supply and demand analysis of water resources in this area, specifically for the irrigation of agricultural crops and municipal uses. From the land use, soil type, and terrain slope maps, 763 Hydrostatic Release Units (HRU) were estimated, distributed in the diverse relief types making up the basin, featured by mountains, hills, plateaus, plains, and valleys. For the crop area, 159 HRU were found with the three slope classification types, where 57 HRU represent 91% of the cultivated area on slopes, from 0 to 15%, located in the Ojos Negros and Guadalupe Valleys. The Soil Conservation Service method (SCS) was used to estimate the average monthly runoff and soil moisture content. As a result, water resource parameters related to the supply were determined with this, e.g., runoff, aquifer recharge, flow, infiltration, and others. Crop coefficient values ( K c ) were used to determine crop evapotranspiration ( ET c ), to estimate the water demand of these for each month, using the multi-year monthly average reference evapotranspiration ( ET o ) calculated with the SWAT model. Overall good performance was obtained considering average monthly discharges data from the Agua Caliente gauging station. The model was calibrated, modifying the parameters chosen according to sensitivity analysis: SCS curve number, base-flow factor, ground-flow delay, and the threshold for return-flow occurrence. The Soil and Water Assessment Tool–Calibration and Uncertainty Programs SWAT-CUP has different goodness-of-fit indicators for the model e.g., determination coefficient (R 2 ), standard deviation of the measured data (RSR), Nash–Sutcliffe coefficient of efficiency (NSE), and others. Multiple iterations were performed, resulting in a ratio between the root mean square error and the standard deviation of the measured data (RSR) of 0.61, a coefficient of determination (R 2 ) of 0.70, and a Nash–Sutcliffe efficiency coefficient (NSE) of 0.63. A supply–demand analysis of the volume generated by the runoff from the basin was performed using the method of estimating useful volume for a reservoir. It is observed in these results that only positive deviations were obtained, implying that runoff in this basin is not enough to meet monthly demand. Finally, the need to establish actions to ensure water management efficiency is highlighted, both for irrigation of agricultural crops and for supply to the region population.

Suggested Citation

  • Alvaro Alberto López-Lambraño & Luisa Martínez-Acosta & Ena Gámez-Balmaceda & Juan Pablo Medrano-Barboza & John Freddy Remolina López & Alvaro López-Ramos, 2020. "Supply and Demand Analysis of Water Resources. Case Study: Irrigation Water Demand in a Semi-Arid Zone in Mexico," Agriculture, MDPI, vol. 10(8), pages 1-20, August.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:8:p:333-:d:394856
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    References listed on IDEAS

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    1. Sinnathamby, Sumathy & Douglas-Mankin, Kyle R. & Craige, Collin, 2017. "Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT)," Agricultural Water Management, Elsevier, vol. 180(PA), pages 61-69.
    2. Napoli, Marco & Cecchi, Stefano & Orlandini, Simone & Zanchi, Camillo A., 2014. "Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy," Agricultural Water Management, Elsevier, vol. 141(C), pages 55-65.
    3. Goel, A.K. & Kumar, R., 2005. "Economic analysis of water harvesting in a mountainous watershed in India," Agricultural Water Management, Elsevier, vol. 71(3), pages 257-266, February.
    4. Previati, M. & Bevilacqua, I. & Canone, D. & Ferraris, S. & Haverkamp, R., 2010. "Evaluation of soil water storage efficiency for rainfall harvesting on hillslope micro-basins built using time domain reflectometry measurements," Agricultural Water Management, Elsevier, vol. 97(3), pages 449-456, March.
    5. Gong, Jinnan & Kellomäki, Seppo & Wang, Kaiyun & Zhang, Chao & Shurpali, Narasinha & Martikainen, Pertti J., 2013. "Modeling CO2 and CH4 flux changes in pristine peatlands of Finland under changing climate conditions," Ecological Modelling, Elsevier, vol. 263(C), pages 64-80.
    6. Oweis, T. & Hachum, A. & Kijne, J., 1999. "Water harvesting and supplemental irrigation for improved water use efficiency in dry areas," IWMI Books, Reports H024198, International Water Management Institute.
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    1. Schwaller, Christoph & Keller, Yvonne & Helmreich, Brigitte & Drewes, Jörg E., 2021. "Estimating the agricultural irrigation demand for planning of non-potable water reuse projects," Agricultural Water Management, Elsevier, vol. 244(C).

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