• DocumentCode
    3071813
  • Title

    Simulation of ecohydrolgocal process using an optimality based model

  • Author

    Lajiao Chen ; Lizhe Wang ; Yan Ma ; Xiaomin Zhu

  • Author_Institution
    Inst. of Remote Sensing & Digital Earth, Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    4281
  • Lastpage
    4284
  • Abstract
    Ecohydrological modeling is essential to assess impact of climate change and intense human activities (land use change) on hydrological process and ecosystem to support watershed management. The traditional ecohydrological models have the deficit in coupling ecological and hydrological processes, and parameterizing vegetation parameters. Recently, optimality hypothesis, proposed by Eagleson, has been introduced to ecohydrology research which has given rise to a novel framework for modeling ecohydrological process. However, as optimality-based model has just spring up in ecohydrology, it has not been fully tested and more application of this kind of model is needed. In this study, we tried to apply an optimality-model to simulate ecohydrological process so as to test the model and support watershed management. The model has been tested in the Walnut Gulch watershed. With collected data from the study area, the model was used to simulate hourly evaportranspiration and GPP and so on. The validation result showed that, the results produced by the model were in good agreement with observed values. The VOM model can effectively overcomes the problem of traditional watershed ecohydrological models in depict ecological and hydrological coupling, the haunting task of vegetation parameters calibration. This could come to a conclusion the optimality-based ecohydrological model could be a potential approach to simulate ecohydrological process.
  • Keywords
    ecology; evaporation; hydrology; land use; transpiration; vegetation; water conservation; water resources; GPP; Walnut Gulch watershed; climate change impact; ecohydrolgocal process simulation; ecohydrological modeling; ecohydrology research; ecosystem; hourly evaportranspiration; hydrological process; intense human activities; land use change; optimality based model; optimality hypothesis; optimality-based model; vegetation parameters calibration; watershed management; Biological system modeling; Ecosystems; Meteorology; Soil; Vegetation; Vegetation mapping; Water resources; Ecohydrological model; VOM; optimality-based model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723780
  • Filename
    6723780