Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model

Lariyah Mohd Sidek, ISMAIL SAHID, NOR FAIZA ABD RAHMAN, KHAIRI KHALID, MUHAMMAD RADZALI MISPAN

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Abstract

Hydrological model is an important tool in enabling the researchers to predict the runoff in the catchment
areas and assess the water resources management practices. Distributed models must undergo calibration
procedures before it is used to help in making decisions in the planning and management of water resources.
Generally, manual calibration is performed repeatedly which is time-consuming and needs experienced staffs.
This paper describes a semi-automatic approach for calibrating long term monthly streamflow periods
estimated by the Soil and Water Assessment Tool (SWAT) hydrological model. After 26 repetitions, 9 SWAT
input parameters reflects the sensitivity on the streamflow simulation. For Cameron Highlands river basin, the
Runoff Curve Number (CN2.mgt), Base flow recession constant (ALPHA_BF.gw) and Groundwater delay time
(GW_DELAY.gw) is found to be the most sensitive input parameters. CN2.mgt is established to be the most
sensitive to surface respond parameter and followed by ALPHA_BF.gw and GW_DELAY.gw for subsurface
response. Therefore, the next step needed is a long-term continuous hydrological modeling which is to be
conducted into the SWAT 2012 model with all the selected sensitive SWAT input parameters in order to
finalize the objective functions for the watershed.
Original languageEnglish
Publication statusSubmitted - 14 Aug 2017

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All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Computer Science(all)

Cite this

Mohd Sidek, L., SAHID, ISMAIL., ABD RAHMAN, NOR. FAIZA., KHALID, KHAIRI., & MISPAN, MUHAMMAD. RADZALI. (2017). Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model.