IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v29y2015i7p2361-2375.html
   My bibliography  Save this article

Modelling the Rainfall-Runoff Relationships in a Large Olive Orchard Catchment in Southern Spain

Author

Listed:
  • E.V. Taguas
  • J. Gómez
  • P. Denisi
  • L. Mateos

Abstract

Water balance models on the monthly scale are commonly used for planning purposes due to the relative simplicity of their parameterization and because monthly data are more readily available than daily data. The aim of this study was to evaluate the performance of three hydrological models, suitable as hydrological planning tools in rural engineering projects: one multiple linear regression (MLR) and two water balance models (one with daily and the other with a monthly time step, named DWBR and SIMPA, respectively). Runoff in both models are based on the Curve Number approach. The evaluation was conducted on a large olive orchard catchment of 308 km 2 using a daily rainfall-runoff dataset of 9 years. SIMPA and DWBR performed better than the MLR model. The SIMPA results were heavily dependent on the parameter soil water storage capacity, as determined from Monte Carlo analysis, although they showed the best adjustments (with a mean Nash-Sutcliffe Efficiency = 0.78 and 0.66 for calibration and validation, respectively). In addition, inconsistent parameterization could be obtained in both SIMPA and DWBR when the aquifer recharge coefficient was included in the set of parameters to be calibrated. The advantage of DWBR against SIMPA is that the daily temporal scale is more physically meaningful than the monthly scale. Extreme runoff values were responsible for most simulated-measured runoff deviations for the three models. Despite the good performance and conceptual advantages of SIMPA and DWBR, they should not be applied without previous calibration. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • E.V. Taguas & J. Gómez & P. Denisi & L. Mateos, 2015. "Modelling the Rainfall-Runoff Relationships in a Large Olive Orchard Catchment in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2361-2375, May.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:7:p:2361-2375
    DOI: 10.1007/s11269-015-0946-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-015-0946-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-015-0946-6?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. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
    2. Boughton, W., 2005. "Catchment water balance modelling in Australia 1960-2004," Agricultural Water Management, Elsevier, vol. 71(2), pages 91-116, February.
    3. Miguel Pérez-Martín & Teodoro Estrela & Joaquín Andreu & Javier Ferrer, 2014. "Modeling Water Resources and River-Aquifer Interaction in the Júcar River Basin, Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4337-4358, September.
    4. A. Bhadra & A. Bandyopadhyay & R. Singh & N. Raghuwanshi, 2010. "Rainfall-Runoff Modeling: Comparison of Two Approaches with Different Data Requirements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 37-62, January.
    5. A. Chavez-Jimenez & B. Lama & L. Garrote & F. Martin-Carrasco & A. Sordo-Ward & L. Mediero, 2013. "Characterisation of the Sensitivity of Water Resources Systems to Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4237-4258, September.
    6. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    7. O. Belmar & J. Velasco & F. Martínez-Capel & M. Peredo-Parada & T. Snelder, 2012. "Do Environmental Stream Classifications Support Flow Assessments in Mediterranean Basins?," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3803-3817, October.
    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. Jinjin Gu & Mo Li & Ping Guo & Guohe Huang, 2016. "Risk Assessment for Ecological Planning of Arid Inland River Basins Under Hydrological and Management Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1415-1431, March.
    2. Jinjin Gu & Mo Li & Ping Guo & Guohe Huang, 2016. "Risk Assessment for Ecological Planning of Arid Inland River Basins Under Hydrological and Management Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1415-1431, March.
    3. Sanat Nalini Sahoo & P. Sreeja, 2016. "Relationship between peak rainfall intensity (PRI) and maximum flood depth (MFD) in an urban catchment of Northeast India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1527-1544, September.
    4. E. M Andrade & J. R Araújo Neto & M. J. S Guerreiro & J. C. N Santos & H. A. Q Palácio, 2017. "Land Use Effect on the CN Model Parameters in a Tropical Dry Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4103-4116, October.

    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. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Palouj, Mojtaba & Bakhtiari, Atousa & Barikani, Elham & Zabihi Afrooz, Ramezan Ali & Fereydooni, Fatemeh & Sadeghi Naeni, Ali & Pourshakouri, Farr, 2019. "Evaluation of single crop coefficient curves derived from Landsat satellite images for major crops in Iran," Agricultural Water Management, Elsevier, vol. 218(C), pages 234-249.
    2. El Hajj, Marcel M. & Johansen, Kasper & Almashharawi, Samer K. & McCabe, Matthew F., 2023. "Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data," Agricultural Water Management, Elsevier, vol. 288(C).
    3. Carpintero, E. & Mateos, L. & Andreu, A. & González-Dugo, M.P., 2020. "Effect of the differences in spectral response of Mediterranean tree canopies on the estimation of evapotranspiration using vegetation index-based crop coefficients," Agricultural Water Management, Elsevier, vol. 238(C).
    4. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    5. Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Berbel, J. & Mateos, L., 2014. "Does investment in irrigation technology necessarily generate rebound effects? A simulation analysis based on an agro-economic model," Agricultural Systems, Elsevier, vol. 128(C), pages 25-34.
    7. Laura Ávila-Dávila & José Miguel Molina-Martínez & Carlos Bautista-Capetillo & Manuel Soler-Méndez & Cruz Octavio Robles Rovelo & Hugo Enrique Júnez-Ferreira & Julián González-Trinidad, 2021. "Estimation of the Evapotranspiration and Crop Coefficients of Bell Pepper Using a Removable Weighing Lysimeter: A Case Study in the Southeast of Spain," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    8. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Bahrami, Mahdi, 2018. "Estimating net irrigation requirement of winter wheat using model- and satellite-based single and basal crop coefficients," Agricultural Water Management, Elsevier, vol. 208(C), pages 95-106.
    9. 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).
    10. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
    11. Campos, Isidro & Balbontín, Claudio & González-Piqueras, Jose & González-Dugo, Maria P. & Neale, Christopher M.U. & Calera, Alfonso, 2016. "Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards," Agricultural Water Management, Elsevier, vol. 165(C), pages 141-152.
    12. Salgado, Ramiro & Mateos, Luciano, 2021. "Evaluation of different methods of estimating ET for the performance assessment of irrigation schemes," Agricultural Water Management, Elsevier, vol. 243(C).
    13. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    14. Teixeira, Antônio & Leivas, Janice & Struiving, Tiago & Reis, João & Simão, Fúlvio, 2021. "Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images," Agricultural Water Management, Elsevier, vol. 247(C).
    15. Yousaf, Wasif & Awan, Wakas Karim & Kamran, Muhammad & Ahmad, Sajid Rashid & Bodla, Habib Ullah & Riaz, Mohammad & Umar, Muhammad & Chohan, Khurram, 2021. "A paradigm of GIS and remote sensing for crop water deficit assessment in near real time to improve irrigation distribution plan," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    17. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.
    18. Garrido-Rubio, Jesús & González-Piqueras, Jose & Campos, Isidro & Osann, Anna & González-Gómez, Laura & Calera, Alfonso, 2020. "Remote sensing–based soil water balance for irrigation water accounting at plot and water user association management scale," Agricultural Water Management, Elsevier, vol. 238(C).
    19. Kaplan, Gregoriy & Fine, Lior & Lukyanov, Victor & Malachy, Nitzan & Tanny, Josef & Rozenstein, Offer, 2023. "Using Sentinel-1 and Sentinel-2 imagery for estimating cotton crop coefficient, height, and Leaf Area Index," Agricultural Water Management, Elsevier, vol. 276(C).
    20. Consoli, S. & Licciardello, F. & Vanella, D. & Pasotti, L. & Villani, G. & Tomei, F., 2016. "Testing the water balance model criteria using TDR measurements, micrometeorological data and satellite-based information," Agricultural Water Management, Elsevier, vol. 170(C), pages 68-80.

    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:spr:waterr:v:29:y:2015:i:7:p:2361-2375. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.