Global sensitivity analysis of distributed hydrological models

Cibin Raj, K. P. Sudheer, I. Chaubey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The application of physics based distributed models in watershed analysis has increased in the last few decades due to increased availability special data and advanced special analysis tools. These models have the advantage of better representation of the system which produces more accurate and reliable outputs. However, they are characterized by their large parameter size, which causes lot of uncertainty in the model output. The calibration of such models is also typically complex due to the large number of parameters. Sensitivity analysis of the parameters is performed prior to calibration in order to simplify the calibration procedure; nonetheless the commonly employed sensitivity analysis methods generally do not consider the nonlinear relationship between the parameters and the output. The current study focuses on performing the nonlinear sensitivity analysis on a distributed watershed model. The method utilizes the Sobol's sensitivity approach, which is based on decomposing the total variance of the model output in terms of individual parameter's contribution. The parameter sampling is performed by Latin hypercube sampling in this study. The output of the analysis help ranking the parameters of the model in terms of their sensitivity towards the model output, thereby help pruning the parameters that are to be calibrated. The method is demonstrated using soil and water assessment tool (SWAT) developed for St. Joseph watershed, USA.

Original languageEnglish (US)
Title of host publicationAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008
PublisherAmerican Society of Agricultural and Biological Engineers
Pages6713-6721
Number of pages9
ISBN (Print)9781605605364
StatePublished - Jan 1 2008
EventAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2008 - Providence, RI, United States
Duration: Jun 29 2008Jul 2 2008

Publication series

NameAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008
Volume11

Other

OtherAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2008
CountryUnited States
CityProvidence, RI
Period6/29/087/2/08

Fingerprint

hydrologic models
Calibration
calibration
Sampling Studies
Physics
Soil and Water Assessment Tool model
model uncertainty
Uncertainty
physics
Soil
pruning
methodology
Water
sampling

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)

Cite this

Raj, C., Sudheer, K. P., & Chaubey, I. (2008). Global sensitivity analysis of distributed hydrological models. In American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008 (pp. 6713-6721). (American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008; Vol. 11). American Society of Agricultural and Biological Engineers.
Raj, Cibin ; Sudheer, K. P. ; Chaubey, I. / Global sensitivity analysis of distributed hydrological models. American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. American Society of Agricultural and Biological Engineers, 2008. pp. 6713-6721 (American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008).
@inproceedings{70169d42ebb541c0aec468eefec9bc30,
title = "Global sensitivity analysis of distributed hydrological models",
abstract = "The application of physics based distributed models in watershed analysis has increased in the last few decades due to increased availability special data and advanced special analysis tools. These models have the advantage of better representation of the system which produces more accurate and reliable outputs. However, they are characterized by their large parameter size, which causes lot of uncertainty in the model output. The calibration of such models is also typically complex due to the large number of parameters. Sensitivity analysis of the parameters is performed prior to calibration in order to simplify the calibration procedure; nonetheless the commonly employed sensitivity analysis methods generally do not consider the nonlinear relationship between the parameters and the output. The current study focuses on performing the nonlinear sensitivity analysis on a distributed watershed model. The method utilizes the Sobol's sensitivity approach, which is based on decomposing the total variance of the model output in terms of individual parameter's contribution. The parameter sampling is performed by Latin hypercube sampling in this study. The output of the analysis help ranking the parameters of the model in terms of their sensitivity towards the model output, thereby help pruning the parameters that are to be calibrated. The method is demonstrated using soil and water assessment tool (SWAT) developed for St. Joseph watershed, USA.",
author = "Cibin Raj and Sudheer, {K. P.} and I. Chaubey",
year = "2008",
month = "1",
day = "1",
language = "English (US)",
isbn = "9781605605364",
series = "American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008",
publisher = "American Society of Agricultural and Biological Engineers",
pages = "6713--6721",
booktitle = "American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008",
address = "United States",

}

Raj, C, Sudheer, KP & Chaubey, I 2008, Global sensitivity analysis of distributed hydrological models. in American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008, vol. 11, American Society of Agricultural and Biological Engineers, pp. 6713-6721, American Society of Agricultural and Biological Engineers Annual International Meeting 2008, Providence, RI, United States, 6/29/08.

Global sensitivity analysis of distributed hydrological models. / Raj, Cibin; Sudheer, K. P.; Chaubey, I.

American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. American Society of Agricultural and Biological Engineers, 2008. p. 6713-6721 (American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008; Vol. 11).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Global sensitivity analysis of distributed hydrological models

AU - Raj, Cibin

AU - Sudheer, K. P.

AU - Chaubey, I.

PY - 2008/1/1

Y1 - 2008/1/1

N2 - The application of physics based distributed models in watershed analysis has increased in the last few decades due to increased availability special data and advanced special analysis tools. These models have the advantage of better representation of the system which produces more accurate and reliable outputs. However, they are characterized by their large parameter size, which causes lot of uncertainty in the model output. The calibration of such models is also typically complex due to the large number of parameters. Sensitivity analysis of the parameters is performed prior to calibration in order to simplify the calibration procedure; nonetheless the commonly employed sensitivity analysis methods generally do not consider the nonlinear relationship between the parameters and the output. The current study focuses on performing the nonlinear sensitivity analysis on a distributed watershed model. The method utilizes the Sobol's sensitivity approach, which is based on decomposing the total variance of the model output in terms of individual parameter's contribution. The parameter sampling is performed by Latin hypercube sampling in this study. The output of the analysis help ranking the parameters of the model in terms of their sensitivity towards the model output, thereby help pruning the parameters that are to be calibrated. The method is demonstrated using soil and water assessment tool (SWAT) developed for St. Joseph watershed, USA.

AB - The application of physics based distributed models in watershed analysis has increased in the last few decades due to increased availability special data and advanced special analysis tools. These models have the advantage of better representation of the system which produces more accurate and reliable outputs. However, they are characterized by their large parameter size, which causes lot of uncertainty in the model output. The calibration of such models is also typically complex due to the large number of parameters. Sensitivity analysis of the parameters is performed prior to calibration in order to simplify the calibration procedure; nonetheless the commonly employed sensitivity analysis methods generally do not consider the nonlinear relationship between the parameters and the output. The current study focuses on performing the nonlinear sensitivity analysis on a distributed watershed model. The method utilizes the Sobol's sensitivity approach, which is based on decomposing the total variance of the model output in terms of individual parameter's contribution. The parameter sampling is performed by Latin hypercube sampling in this study. The output of the analysis help ranking the parameters of the model in terms of their sensitivity towards the model output, thereby help pruning the parameters that are to be calibrated. The method is demonstrated using soil and water assessment tool (SWAT) developed for St. Joseph watershed, USA.

UR - http://www.scopus.com/inward/record.url?scp=63149114831&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=63149114831&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:63149114831

SN - 9781605605364

T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008

SP - 6713

EP - 6721

BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008

PB - American Society of Agricultural and Biological Engineers

ER -

Raj C, Sudheer KP, Chaubey I. Global sensitivity analysis of distributed hydrological models. In American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. American Society of Agricultural and Biological Engineers. 2008. p. 6713-6721. (American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008).