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    • Plusieurs versions

    Values for Excellence in Professional Work

    Srinivasan, M.S
    Journal of Human Values, October 2011, Vol.17(2), pp.121-128 [Revue évaluée par les pairs]
    Sage Journals (Sage Publications), SAGE HSS (Sage Publications), SAGE Management and Organization Studies (Sage Publications), SAGE Journals (Sage Publications)
    • Plusieurs versions

    Inter-comparison of experimental catchment data and hydrological modelling

    Singh, Shailesh Kumar, Ibbitt, Richard, Srinivasan, M.S, Shankar, Ude
    Journal of Hydrology, July 2017, Vol.550, pp.1-11 [Revue évaluée par les pairs]

    • Plusieurs versions

    Integrating Workforce Diversity in Global Business: A Psycho-spiritual Perspective

    Srinivasan, M.S
    Journal of Human Values, April 2015, Vol.21(1), pp.1-10 [Revue évaluée par les pairs]
    Sage Journals (Sage Publications), SAGE HSS (Sage Publications), SAGE Management and Organization Studies (Sage Publications), SAGE Journals (Sage Publications)
    • Plusieurs versions

    Organizational Development: A Yogic Vision

    Srinivasan, M.S
    Asian Journal of Management Cases, October 2005, Vol.11(2), pp.149-160 [Revue évaluée par les pairs]

    • Plusieurs versions

    Identifying critical source areas for water quality: 1. Mapping and validating transport areas in three headwater catchments in Otago, New Zealand

    Srinivasan, M.S, Mcdowell, R.W
    Journal of Hydrology, 2009, Vol.379(1), pp.54-67 [Revue évaluée par les pairs]

    • Plusieurs versions

    Identifying critical source areas for water quality: 2. Validating the approach for phosphorus and sediment losses in grazed headwater catchments

    Mcdowell, R.W, Srinivasan, M.S
    Journal of Hydrology, 2009, Vol.379(1), pp.68-80 [Revue évaluée par les pairs]

    • Plusieurs versions

    A generic framework and methodology for extracting semantics from co-occurrences

    Rachakonda, Aditya Ramana, Srinivasa, Srinath, Kulkarni, Sumant, Srinivasan, M.S
    Data & Knowledge Engineering, July 2014, Vol.92, pp.39-59 [Revue évaluée par les pairs]
    ScienceDirect Journals (Elsevier)
    • Article
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    Soil Hydraulic Modeling Outcomes with Four Parameterization Methods: Comparing Soil Description and Inverse Estimation Approaches

    Graham, Scott L, Srinivasan, M.S, Faulkner, Nathalie, Carrick, Sam
    Vadose zone journal, 29 March 2018 [Revue évaluée par les pairs]
    Research Collection (ETH Zurich)
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    Titre: Soil Hydraulic Modeling Outcomes with Four Parameterization Methods: Comparing Soil Description and Inverse Estimation Approaches
    Auteur: Graham, Scott L; Srinivasan, M.S; Faulkner, Nathalie; Carrick, Sam
    Sujet: Agriculture
    Description: Different methods for parameterizing soil hydraulic models can lead to substantially varied predictions of soil–plant–atmosphere water fluxes. This study investigated, for a heterogeneous stony soil, four methods of soil hydraulic parameterization: (i) use of a pedotransfer function with a four-layer soil profile based on detailed soil physical and textural description; (ii) use of a pedotransfer function with a single-layer soil description; (iii) inverse estimation from soil moisture data; and (iv) inverse estimation from lysimeter drainage. Soil drainage, volumetric water content, and evapotranspiration were each modeled using HYDRUS-1D for an irrigated pasture in New Zealand during the time period 1 July 2011 to 15 Mar. 2014. The first 15 mo were used for model spin-up and inverse parameter estimation, while the remainder of the study period was used as a validation period, during which model results were compared against field data. Predictions from each model parameterization were compared with field-measured fluxes from lysimeter, soil moisture sensors, and eddy covariance to determine the approach most appropriate for our site and application. The parameters estimated inversely from field data improved the modeling of soil drainage, leading to total drainage within 5 to 7% of the measured volume and prediction of 35 to 80% more drainage peaks than parameterizations based on detailed soil physical description. While all methods underpredicted evapotranspiration by 18 to 30% compared with eddy covariance, improvement in drainage estimates with inverse estimation from field data led to decreased capability for modeling evapotranspiration. We suggest this approach for application in other settings to select the most appropriate parameterization approach for a given soil hydraulic model application.
    Fait partie de: Vadose zone journal, 29 March 2018
    Identifiant: 1539-1663 (ISSN); 1539-1663 (E-ISSN); 10.3929/ethz-b-000280197 (DOI)

    • Plusieurs versions

    Field measurement of groundwater recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters

    Duncan, M.J, Srinivasan, M.S, Mcmillan, H
    Agricultural Water Management, 01 March 2016, Vol.166, pp.17-32 [Revue évaluée par les pairs]

    • Plusieurs versions

    Study on survivability of 18650 Lithium-ion cells at cryogenic temperatures

    Nandini, K, Usha, K, Srinivasan, M.S, Pramod, M, Satyanarayana, P, Sankaran, M
    Journal of Energy Storage, June 2018, Vol.17, pp.409-416 [Revue évaluée par les pairs]
    ScienceDirect Journals (Elsevier)