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Soil Moisture and Soil Water Storage Using Hydrological Modeling and Remote Sensing

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Application of Soil Physics in Environmental Analyses

Part of the book series: Progress in Soil Science ((PROSOIL))

Abstract

Soil moisture and soil water storage play a significant role in lumped and distributed hydrological simulation, both for model initialization and in later time steps to control and to correct model performance. On the other side, rainfall-runoff models still need to be improved to simulate reasonably well the vertical exchanges of heat and water between the soil and the atmosphere, that may result in inconsistent soil moisture fields. Therefore, many issues remain to be adequately addressed, such as how to include new data sources as well as how to improve methods for calibration, validation, parameterization and upscaling of hydrological models. This work focuses on relatively new data sources, addressing the supply of soil moisture (Soil Moisture Experiment 2003 – SMEX03) and soil water storage information (GRACE – Gravity Recovery and Climate Experiment) to a typical lumped rainfall-runoff model (SMAP – Soil Moisture Accounting Procedure running at daily and monthly steps) from in situ measurements and remotely sensed imagery for the São Francisco and Amazon basins in Brazil. In particular, a sensitivity analysis is conducted to evaluate jointly both hydrological simulations and data collected and acquired for the studied areas highlighting soundly based and good results and also pointing out some of the challenges to be faced in the near future. We should mention that much more work on soil physics is still necessary for applications regarding rainfall-runoff models to work properly at the watershed scale.

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Acknowledgments

The authors would like to thank the Civil Engineering Program of Instituto Alberto Luiz Coimbra de Pos-Graduação e Pesquisa de Engenharia (COPPE) – Universidade Federal do Rio de Janeiro (UFRJ) through the support of the Laboratory of Water Resources and Environmental Issues (LABH2O) with respect to data and infrastructure provided by these institutions for this research. The authors would like to express their sincere appreciation to the financial support for the work, which came through CAPES (Fundação Coordenação de Aperfeiçoamento de Nível Superior) – CAPES/COFECUB No. 516/05 (2005–2012) and Project IME-PEC/COPPE – CAPES – Aux-PE-PRO-Defense 1783/2008 (2008–2012 ), CNPq (Conselho Nacional de Ciência e Tecnologia) – Project MCT/FINEP/CT-HIDRO/EIBEX-1 (2005–2011), which addressed representative watersheds, Project PROSUL (Programa Sul-Americano de Apoio às Atividades de Cooperação em Ciência e Tecnologia) – Process 490684/2007-6 (2007–2012), which deals with remote sensing techniques applied to hydrological monitoring and climate change, and Project CNPq Edital Universal No. 14/2013 – Process 485136/2013-9, which is focused on rainfall-runoff modeling and on the corresponding issue of water balance and soil moisture with respect to extreme events, and Secretaria de Educação Superior (SESu) – Ministério da Educação (MEC) – CAPES – AUX-PE-PET-1228/2009 (PET CIVIL UFRJ), educational agencies of the Brazilian government. The authors would like to acknowledge the support provided by Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) – Project PEC/COPPE – FAPERJ 014/2010 (2010–2012), Project FAPERJ – Process E-26/103.116/2011 (2012–2014) and Project FAPERJ – Pensa Rio – Edital 19/2011 (2012–2014) – E26/110.753/2012. The authors would like also to recognize the support of CPRM, INPE, ANA, EMBRAPA, CEPEL, ONS and INMET, for the continuous support of the research in hydrology in Brazil. In addition, the authours would like to recognize the support of Laboratoire d’Études en Géophysique et Océanographie Spatiales (LEGOS) (Université Paul Sabatier – UPS-Toulouse III, Centre Nationale d’Études Spatiales (CNES), ESA (European Space Agency), National Aeronautics and Space Administration (NASA), e ORE-HYBAM (Observatoire de Recherche en Environment – Contrôles géodynamique, hidrologique et biogéochimique de l’érosion/alteration et dês transferts de matière dans le bassin de l’Amazone). A special thank you goes to Dr. Edson Eijy Sano (EMBRAPA), to Dr. Eduardo Assad (EMBRAPA) and to Dr. Thomas J. Jackson (USDA), who stimulated the use of the soil moisture dataset collected during SMEX03 experiment.

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Authors and Affiliations

  1. Laboratório de Recursos Hídricos e Meio Ambiente (LABH2O), Programa de Engenharia Civil, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa em Engenharia – COPPE, Universidade Federal do Rio de Janeiro, Campus Ilha do Fundão – Cidade Universitária, Caixa Postal 68540, CEP 21.945-970, Rio de Janeiro, RJ, Brazil

    Otto Corrêa Rotunno Filho, Daniel Medeiros Moreira & Lígia Maria Nascimento de Araujo

  2. Departamento de Recursos Hídricos e Meio Ambiente, Escola Politécnica de Engenharia, Universidade Federal do Rio de Janeiro, Campus Ilha do Fundão – Cidade Universitária, Caixa Postal 68540, CEP 21.945-970, Rio de Janeiro, RJ, Brazil

    Afonso Augusto Magalhães de Araujo

  3. Centro de Pesquisa de Energia Elétrica (CEPEL), Avenida Horácio de Macedo, 354, Cidade Universitária, CEP 21941-911, Rio de Janeiro, RJ, Brazil

    Luciano Nóbrega Rodrigues Xavier

  4. Divisão de Hidrologia Aplicada, Serviço Geológico do Brasil, CPRM, Av. Pasteur, 404 – URCA, CEP 22.290-240, Rio de Janeiro, RJ, Brazil

    Daniel Medeiros Moreira

  5. Tribunal de Contas da União – TCU, Setor de Administração Federal Sul – SAFS, Quadra 4, Lote 1, CEP 70.042-900, Brasília, DF, Brazil

    Rafael Carneiro Di Bello

  6. Programa de Engenharia Sistemas e Computação, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa em Engenharia – COPPE, Universidade Federal do Rio de Janeiro, Campus Ilha do Fundão – Cidade Universitária, Caixa Postal 68540, CEP 21.945-970, Rio de Janeiro, RJ, Brazil

    Adilson Elias Xavier

  7. Agência Nacional de Águas – ANA, Setor Policial Sul – SPS, Área 5, Quadra 3, Blocos “B”, “L”, “M” e “T”, CEP 70.610-200, Brasília, DF, Brazil

    Lígia Maria Nascimento de Araujo

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  1. Otto Corrêa Rotunno Filho
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  2. Afonso Augusto Magalhães de Araujo
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  3. Luciano Nóbrega Rodrigues Xavier
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  6. Adilson Elias Xavier
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  7. Lígia Maria Nascimento de Araujo
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Correspondence to Otto Corrêa Rotunno Filho .

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Editors and Affiliations

  1. Soil Physics, Embrapa Soils, Rio de Janeiro, RJ, Brazil

    Wenceslau Geraldes Teixeira

  2. Soils Department, Rural Federal University of Rio de Janeiro, Seropédica, RJ, Brazil

    Marcos Bacis Ceddia

  3. Department of Hydrology, Companhia de Pesquisa de Recursos Minerais (CPRM), Geological Survey of Brazil, Rio de Janeiro, RJ, Brazil

    Marta Vasconcelos Ottoni

  4. Soil Physics, Embrapa Soils, Rio de Janeiro, RJ, Brazil

    Guilheme Kangussu Donnagema

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Rotunno Filho, O.C. et al. (2014). Soil Moisture and Soil Water Storage Using Hydrological Modeling and Remote Sensing. In: Teixeira, W., Ceddia, M., Ottoni, M., Donnagema, G. (eds) Application of Soil Physics in Environmental Analyses. Progress in Soil Science. Springer, Cham. https://doi.org/10.1007/978-3-319-06013-2_14

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