Top

Water Resources Management

Published in:

11-11-2020

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

Authors: Nayara P. V. Andrade, Marcelo R. Viola, Samuel Beskow, Tamara L. Caldeira, Li Guo, Carlos R. Mello

Published in: Water Resources Management | Issue 15/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

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 (C_NS) 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 C_NS 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.

previous article Ability Assessment of the Stationary and Cyclostationary Time Series Models to Predict Drought Indices

next article Effects of Non-Zero Minimum Pressure Heads in Non-iterative Application of EPANET 2 in Pressure-Dependent Volume-Driven Analysis of Water Distribution Networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Available only for authorised users

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 143:7–17CrossRef

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 74:500–512CrossRef

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

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

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.2018.10.009CrossRef

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/10.1080/00221686909500264CrossRef

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

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/atmos10080466CrossRef

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

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 288:64–78CrossRef

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 565:123–137CrossRef

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.2017.05.014CrossRef

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

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 75:235–247CrossRef

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):37–68CrossRef

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)90255-6CrossRef

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 37:5005–5023CrossRef

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 28:4865–4876CrossRef

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

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 17:2209–2217CrossRef

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

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.1943-5584.0000735CrossRef

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 29:3503–3517CrossRef

Title: Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model
Authors: Nayara P. V. Andrade
Marcelo R. Viola
Samuel Beskow
Tamara L. Caldeira
Li Guo
Carlos R. Mello
Publication date: 11-11-2020
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 15/2020
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-020-02711-4

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 15/2020

Study on Multi-Objective Operation Strategy for Multi-Reservoirs in Small-Scale Watershed Considering Ecological Flows

Event-Driven Hyporheic Exchange during Single and Seasonal Rainfall in a Gaining Stream

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

The Feasibility of Multi-Criteria Decision Making Approach for Prioritization of Sensitive Area at Risk of Water Erosion

An Innovative Approach to Assessing the Distribution of Stored Freshwater while Injecting it through a Well Partially Screening the Brackish Aquifer

Comparison of Several Aggregation Techniques for Deriving Analytic Network Process Weights