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Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model

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Abstract

Hydrological models are the main tools for water resources management. The Lavras Simulation of Hydrology (LASH) model was developed for watersheds with scarce data, and great results have been obtained in Brazil. This study aimed to incorporate hydrological response units (HRUs) in the LASH model to assess soil water storage (SWS) across space and time. The LASH model was calibrated and validated for the Grande River basin upstream of the Furnas Hydropower Plant, in southeastern Brazil. The Nash-Sutcliff coefficient (CNS) and its logarithmic version were analyzed in terms of both calibration and validation to appraise the model’s performance in a daily time step. The CNS for calibration and validation was 0.86 and 0.77, respectively, showing that LASH using the HRUs produced improvements in the simulations. The calibrated parameters showed a good relationship with hydrological processes in HRUs, and SWS estimates reflected the soils, topography, and land use of the watershed. LASH could describe the SWS behavior and identify the sub-watersheds with the highest and the lowest values. Therefore, the LASH model is a promising tool for SWS simulation in time and space.

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References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO, irrigation and drainage. Paper no. 56, Rome

  • Alvarenga LA, Mello CR, Colombo A, Cuartas LA, Bowling LC (2016) Assessment of land cover change on the hydrology of a brazilian headwater watershed using the distributed hydrology-soil-vegetation model. Catena 143:7–17

    Article  Google Scholar 

  • Alves GJ, Mello CR, Beskow S, Junqueira Junior JA, Nearing MA (2019) Assessment of the soil conservation service-curve number method performance in a tropical oxisol watershed. J Soil Water Conserv 74:500–512

    Article  Google Scholar 

  • Beskow S, Norton LD, Mello CR (2013) Hydrological prediction in a tropical watershed dominated by Oxisols using a distributed hydrological model. Water Resour Manag 27:341–363

    Article  Google Scholar 

  • Bueno EO, Alves GJ, Mello CR (2020) Hydroelectricity water footprint in Parana hydrograph region. Brazil Renew Energy 162:596–612

    Article  Google Scholar 

  • Caldeira TL, Mello CR, Beskow S, Timm LC, Viola MR (2019) LASH hydrological model: an analysis focused on spatial discretization. Catena 173:183–193. https://doi.org/10.1016/j.catena.2018.10.009

    Article  Google Scholar 

  • Companhia Energética de Minas Gerais, Universidade Federal de Lavras (2018) Modelo Fitográfico da Bacia do Rio Grande. http://sig.projetoriogrande.ti.lemaf.ufla.br/. Accessed 20 March 2018

  • Cunge JA (1969) On the subject of a flood propagation computation method (Muskingum method). J Hydraul Res 7:205–230. https://doi.org/10.1080/00221686909500264

    Article  Google Scholar 

  • Fernandes Filho EI, Curi N (2010) Mapa de solos do estado de Minas Gerais. Fundação Estadual Do Meio Ambiente, Belo Horizonte

    Google Scholar 

  • Han H, Kim J, Chandrasekar V, Choi J, Lim S (2019) Modeling Streamflow enhanced by precipitation from Atmospheric River using the NOAA National Water Model: a case study of the Russian River basin for February 2004. Atmosphere 10:466. https://doi.org/10.3390/atmos10080466

    Article  Google Scholar 

  • Havrylenko SB, Bodoque JM, Srinivasan R, Zucarelli GV, Mercuri P (2016) Assessment of the soil water content in the pampas region using SWAT. Catena 137:298–309

    Article  Google Scholar 

  • Junqueira Junior JA, Mello CR, Owens PR, Mello JM, Curi N, Alves GJ (2017) Time-stability of soil water content (SWC) in an Atlantic forest - Latosol site. Geoderma 288:64–78

    Article  Google Scholar 

  • Khan U, Ajami H, Tuteja NK, Sharma A, Kim S (2018) Catchment scale simulations of soil moisture dynamics using an equivalent cross-section based hydrological modelling approach. Journal of Hydrology 564:944–966. https://doi.org/10.1016/j.jhydrol.2018.07.066

  • Liu M, Adam JC, Rickey AS, Zhu Z, Myneni R (2018) Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: accounting for vegetation dynamics. J Hydrol 565:123–137

    Article  Google Scholar 

  • Ma Y, Li X, Guo L, Lin H (2017) Hydropedology: interactions between pedologic and hydrologic processes across spatiotemporal scales. Earth-Sci Rev 171:181–195. https://doi.org/10.1016/j.earscirev.2017.05.014

    Article  Google Scholar 

  • Mello CR, Ávila LF, Lin H, Nunes MCS, Chappell N (2019) Water balance in a neotropical forest catchment of southeastern Brazil. Catena 173:9–21

    Article  Google Scholar 

  • Mello CR, Viola MR, Norton LD, Silva AM, Weimar FA (2008) Development and application of a simple hydrologic model simulation for a Brazilian headwater basin. Catena 75:235–247

    Article  Google Scholar 

  • Mishra SK, Singh VP (2003) SCS-CN method. In: soil conservation service curve number (SCS-CN) methodology. Water science and technology library, springer, Dordrecht

  • Mishra SK, Singh VP, Sansalone JJ, Aravamuthan V (2003) A modified SCS-CN method: characterization and testing. Water Resour Manag 17(1):37–68

    Article  Google Scholar 

  • Moriasi DN, Gitau MW, Pai N, Daggupati P (2015) Hydrologic and water quality models: performance measures and evaluation criteria. T ASABE 58(6): 1763-1785. DOI https://doi.org/10.13031/trans.58.10715

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I: a discussion of principles. J Hydrol 10(3):282–290. https://doi.org/10.1016/0022-1694(70)90255-6

    Article  Google Scholar 

  • Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2005) Soil and Water Assessment Tool: theoretical documentation - version 2005. Grassland, soil and water research laboratory - Agricultural Research Service; Blackland Research Center - Texas Agricultural Experiment Station, Temple, Texas, USA

  • Oliveira VA, Mello CR, Viola MR, Srinivasan R (2017) Assessment of climate change impacts on streamflow and hydropower potential in the headwater region of the Grande river basin, southeastern Brazil. Int J Climatol 37:5005–5023

    Article  Google Scholar 

  • Parinussa RM, Yilmaz MT, Anderson MC, Hain CR, Jeu RAM (2014) An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula. Hydrol Process 28:4865–4876

    Article  Google Scholar 

  • Pinto LC, Mello CR, Owens PR, Norton LD, Curi N (2015) Role of Inceptisols in the hydrology of mountainous catchments in southeastern Brazil. J. Hydrol. Eng. 21 (2): 05015017. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001275

  • Rawls WJ, Ahuja LR, Brakensiek DL, Shirmohammadi A (1993) Infiltration and soil water movement. In: Maidment DR (ed) Handbook of hydrology. McGraw-Hill, New York, pp 1–51

    Google Scholar 

  • Troch PA, Carrillo G, Sivapalan M, Wagener T, Sawicz K (2013) Climate-vegetation-soil interactions and long-term hydrologic partitioning: signatures of catchment co-evolution. Hydrol Earth Syst Sci 17:2209–2217

    Article  Google Scholar 

  • Van Liew MW, Arnold JG, Garbrecht JD (2003) Hydrologic simulation on agricultural watersheds: choosing between two models. T ASABE 46:1539–1551

    Article  Google Scholar 

  • Viola MR, Mello CR, Beskow S, Norton LD (2013) Applicability of the LASH model for hydrological simulation of the Grande River basin. Brazil J Hydrol Eng 18:1639–1652. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000735

    Article  Google Scholar 

  • Zhuo L, Han D, Daí Q, Islam T, Srivastava PK (2015) Appraisal of NLDAS-2 multi-model simulated soil moistures for hydrological modelling. Water Resour Manag 29:3503–3517

    Article  Google Scholar 

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Acknowledgments

We thanks to CNPq (Grant number 301556/2017-2), FAPEMIG (Grand number PPM 545-18) and CAPES for doctorate scholarship to the first author.

Availability of Data and Materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Funding

This study received funds from CNPq (Grant number 301556/2017–2), FAPEMIG (Grand number PPM 545–18) and CAPES for doctorate scholarship to the first author.

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Authors and Affiliations

  1. Water Resources Department, Universidade Federal de Lavras, CP 3037, Lavras, MG, 37200-900, Brazil

    Nayara P. V. Andrade, Marcelo R. Viola & Carlos R. Mello

  2. Center for Technological Development, Universidade Federal de Pelotas, Pelotas, RS, Brazil

    Samuel Beskow

  3. Engineering Center, Universidade Federal de Pelotas, Pelotas, RS, Brazil

    Tamara L. Caldeira

  4. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China

    Li Guo

Authors
  1. Nayara P. V. Andrade
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  2. Marcelo R. Viola
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  3. Samuel Beskow
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  4. Tamara L. Caldeira
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  5. Li Guo
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  6. Carlos R. Mello
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Contributions

- Nayara P.V. Andrade: Conduction of analyses; Methodology; Interpretation of the results.

- Marcelo R. Viola: Methodology; Interpretation and analyze of the results; Co-supervision; Visualization.

- Samuel Beskow: Methodology; Conceptualization; Formal Analyses; Writing – revised version.

- Tamara L. Caldeira: Formal Analyses; Methodology; Visualization.

- Li Guo: Conceptualization; Editing original version.

- Carlos R. Mello: Supervision; Methodology; Formal Analyses; Writing – original draft; Resources.

Corresponding author

Correspondence to Carlos R. Mello.

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Andrade, N.P.V., Viola, M.R., Beskow, S. et al. Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model. Water Resour Manage 34, 5031–5046 (2020). https://doi.org/10.1007/s11269-020-02711-4

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  • DOI: https://doi.org/10.1007/s11269-020-02711-4

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