Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model

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

Research output: Contribution to conferencePaper

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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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Sensitivity analysis
sensitivity analysis
Water resources
Soils
streamflow
Water
hydrological modeling
baseflow
Watersheds
Runoff
Catchments
Groundwater
management practice
Time delay
river basin
Decision making
Rivers
water resource
decision making
Calibration

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.
Mohd Sidek, Lariyah ; SAHID, ISMAIL ; ABD RAHMAN, NOR FAIZA ; KHALID, KHAIRI ; MISPAN, MUHAMMAD RADZALI . / Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model.
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abstract = "Hydrological model is an important tool in enabling the researchers to predict the runoff in the catchmentareas and assess the water resources management practices. Distributed models must undergo calibrationprocedures 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 periodsestimated by the Soil and Water Assessment Tool (SWAT) hydrological model. After 26 repetitions, 9 SWATinput parameters reflects the sensitivity on the streamflow simulation. For Cameron Highlands river basin, theRunoff 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 mostsensitive to surface respond parameter and followed by ALPHA_BF.gw and GW_DELAY.gw for subsurfaceresponse. Therefore, the next step needed is a long-term continuous hydrological modeling which is to beconducted into the SWAT 2012 model with all the selected sensitive SWAT input parameters in order tofinalize the objective functions for the watershed.",
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Mohd Sidek, L, SAHID, ISMAIL, ABD RAHMAN, NORFAIZA, KHALID, KHAIRI & MISPAN, MUHAMMADRADZALI 2017, 'Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model'.

Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model. / Mohd Sidek, Lariyah; SAHID, ISMAIL; ABD RAHMAN, NOR FAIZA; KHALID, KHAIRI; MISPAN, MUHAMMAD RADZALI .

2017.

Research output: Contribution to conferencePaper

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T1 - Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model

AU - Mohd Sidek, Lariyah

AU - SAHID, ISMAIL

AU - ABD RAHMAN, NOR FAIZA

AU - KHALID, KHAIRI

AU - MISPAN, MUHAMMAD RADZALI

PY - 2017/8/14

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N2 - Hydrological model is an important tool in enabling the researchers to predict the runoff in the catchmentareas and assess the water resources management practices. Distributed models must undergo calibrationprocedures 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 periodsestimated by the Soil and Water Assessment Tool (SWAT) hydrological model. After 26 repetitions, 9 SWATinput parameters reflects the sensitivity on the streamflow simulation. For Cameron Highlands river basin, theRunoff 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 mostsensitive to surface respond parameter and followed by ALPHA_BF.gw and GW_DELAY.gw for subsurfaceresponse. Therefore, the next step needed is a long-term continuous hydrological modeling which is to beconducted into the SWAT 2012 model with all the selected sensitive SWAT input parameters in order tofinalize the objective functions for the watershed.

AB - Hydrological model is an important tool in enabling the researchers to predict the runoff in the catchmentareas and assess the water resources management practices. Distributed models must undergo calibrationprocedures 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 periodsestimated by the Soil and Water Assessment Tool (SWAT) hydrological model. After 26 repetitions, 9 SWATinput parameters reflects the sensitivity on the streamflow simulation. For Cameron Highlands river basin, theRunoff 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 mostsensitive to surface respond parameter and followed by ALPHA_BF.gw and GW_DELAY.gw for subsurfaceresponse. Therefore, the next step needed is a long-term continuous hydrological modeling which is to beconducted into the SWAT 2012 model with all the selected sensitive SWAT input parameters in order tofinalize the objective functions for the watershed.

M3 - Paper

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Mohd Sidek L, SAHID ISMAIL, ABD RAHMAN NORFAIZA, KHALID KHAIRI, MISPAN MUHAMMADRADZALI. Sensitivity Analysis Of Spatial Input Parameter In Distributed Hydrological Model. 2017.