مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

782
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

1

Information Journal Paper

Title

DATA-BASED MECHANISTIC MODELING OF RAINFALL-RUNOFF PROCESS, CASE STUDY: UPPER KAROUN SUBBASIN DATA ANALYSIS

Pages

  27-40

Abstract

 A major part of hydrological researches focused on complex and non-linear rainfall-runoff process. Mathematical models were presented to describe this process including a wide range from simple black-box representation to complex physically-based models. Considering inherent uncertainty associated with the process as a result of uncertain input variables and uncertain calibrated parameters, stochastic modeling seemed preferable to deterministic approaches. In this study, DATA-BASED MECHANISTIC MODELING (DBM) was selected to identify non-linearities of the process. The method is categorized as a stochastic approach relying upon recursive parameter estimation using Kalman filtering algorithm in state space system of equations. In addition, it is capable to reflect a physical interpretation of rainfall-runoff conversion to describe the behavior of the system. The later capability differs it from other black-box modeling approaches. In this research, a parallel structure of flow routes was identified in upper-Karoun subbasin of the great Karoun catchment. Sensitivity analysis was also carried out based on Monte Carlo simulation (MCS) method and the reliability of the presented model were quantified.

Cites

References

  • No record.
  • Cite

    APA: Copy

    JALAL KAMALI, N., & SEDIGHI, H.. (2008). DATA-BASED MECHANISTIC MODELING OF RAINFALL-RUNOFF PROCESS, CASE STUDY: UPPER KAROUN SUBBASIN DATA ANALYSIS. AGROECOLOGY JOURNAL (JOURNAL OF NEW AGRICULTURAL SCIENCE), 4(10), 27-40. SID. https://sid.ir/paper/166849/en

    Vancouver: Copy

    JALAL KAMALI N., SEDIGHI H.. DATA-BASED MECHANISTIC MODELING OF RAINFALL-RUNOFF PROCESS, CASE STUDY: UPPER KAROUN SUBBASIN DATA ANALYSIS. AGROECOLOGY JOURNAL (JOURNAL OF NEW AGRICULTURAL SCIENCE)[Internet]. 2008;4(10):27-40. Available from: https://sid.ir/paper/166849/en

    IEEE: Copy

    N. JALAL KAMALI, and H. SEDIGHI, “DATA-BASED MECHANISTIC MODELING OF RAINFALL-RUNOFF PROCESS, CASE STUDY: UPPER KAROUN SUBBASIN DATA ANALYSIS,” AGROECOLOGY JOURNAL (JOURNAL OF NEW AGRICULTURAL SCIENCE), vol. 4, no. 10, pp. 27–40, 2008, [Online]. Available: https://sid.ir/paper/166849/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button