ALMANAC model parameters sensitivity analysis by Sobol algorithm

Yan Sun; Shuqing Zhang; Huapeng Li

doi:10.1109/GeoInformatics.2011.5981089

ALMANAC model parameters sensitivity analysis by Sobol algorithm

Yan Sun
, Shuqing Zhang^*
, Huapeng Li

^*Corresponding author for this work

CAS - Northeast Institute of Geography and Agricultural Ecology
University of Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Sobol algorithm is one of the most representative global sensitivity analysis methods. Parameters sensitivity analysis is a necessary step for crop model localization and regionalization. We used Sobol algorithm to analyze the parameters sensitivity of ALMANAC model, including crop parameters, soil parameters, meteorological parameters and field operating parameters. The result of the study showed that harvest index, potential radiation use efficiency, base temperature, maximum crop height, and potential heat units are the high sensitive parameters in model localization process; in the regionalization process, meteorological parameters and field operating parameters are more sensitive than soil parameters. After the two steps of sensitivity analysis, we summarized that heat was the most important factor in ALMANAC model.

Original language	English
Title of host publication	Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
DOIs	https://doi.org/10.1109/GeoInformatics.2011.5981089
State	Published - 2011
Externally published	Yes
Event	2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China Duration: 24 Jun 2011 → 26 Jun 2011

Publication series

Name	Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Conference

Conference	2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Country/Territory	China
City	Shanghai
Period	24/06/11 → 26/06/11

Keywords

ALMANAC
Sobol algorithm
sensitivity analysis

Access to Document

10.1109/GeoInformatics.2011.5981089

Cite this

@inproceedings{009ed3f144f8417b8e5bb870eb48ea7c,

title = "ALMANAC model parameters sensitivity analysis by Sobol algorithm",

abstract = "Sobol algorithm is one of the most representative global sensitivity analysis methods. Parameters sensitivity analysis is a necessary step for crop model localization and regionalization. We used Sobol algorithm to analyze the parameters sensitivity of ALMANAC model, including crop parameters, soil parameters, meteorological parameters and field operating parameters. The result of the study showed that harvest index, potential radiation use efficiency, base temperature, maximum crop height, and potential heat units are the high sensitive parameters in model localization process; in the regionalization process, meteorological parameters and field operating parameters are more sensitive than soil parameters. After the two steps of sensitivity analysis, we summarized that heat was the most important factor in ALMANAC model.",

keywords = "ALMANAC, Sobol algorithm, sensitivity analysis",

author = "Yan Sun and Shuqing Zhang and Huapeng Li",

year = "2011",

doi = "10.1109/GeoInformatics.2011.5981089",

language = "英语",

isbn = "9781612848488",

series = "Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011",

booktitle = "Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011",

note = "2011 19th International Conference on Geoinformatics, Geoinformatics 2011 ; Conference date: 24-06-2011 Through 26-06-2011",

}

Sun, Y, Zhang, S & Li, H 2011, ALMANAC model parameters sensitivity analysis by Sobol algorithm. in Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011., 5981089, Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011, 2011 19th International Conference on Geoinformatics, Geoinformatics 2011, Shanghai, China, 24/06/11. https://doi.org/10.1109/GeoInformatics.2011.5981089

ALMANAC model parameters sensitivity analysis by Sobol algorithm. / Sun, Yan; Zhang, Shuqing; Li, Huapeng.
Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011. 2011. 5981089 (Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ALMANAC model parameters sensitivity analysis by Sobol algorithm

AU - Sun, Yan

AU - Zhang, Shuqing

AU - Li, Huapeng

PY - 2011

Y1 - 2011

N2 - Sobol algorithm is one of the most representative global sensitivity analysis methods. Parameters sensitivity analysis is a necessary step for crop model localization and regionalization. We used Sobol algorithm to analyze the parameters sensitivity of ALMANAC model, including crop parameters, soil parameters, meteorological parameters and field operating parameters. The result of the study showed that harvest index, potential radiation use efficiency, base temperature, maximum crop height, and potential heat units are the high sensitive parameters in model localization process; in the regionalization process, meteorological parameters and field operating parameters are more sensitive than soil parameters. After the two steps of sensitivity analysis, we summarized that heat was the most important factor in ALMANAC model.

AB - Sobol algorithm is one of the most representative global sensitivity analysis methods. Parameters sensitivity analysis is a necessary step for crop model localization and regionalization. We used Sobol algorithm to analyze the parameters sensitivity of ALMANAC model, including crop parameters, soil parameters, meteorological parameters and field operating parameters. The result of the study showed that harvest index, potential radiation use efficiency, base temperature, maximum crop height, and potential heat units are the high sensitive parameters in model localization process; in the regionalization process, meteorological parameters and field operating parameters are more sensitive than soil parameters. After the two steps of sensitivity analysis, we summarized that heat was the most important factor in ALMANAC model.

KW - ALMANAC

KW - Sobol algorithm

KW - sensitivity analysis

UR - https://www.scopus.com/pages/publications/80052361279

U2 - 10.1109/GeoInformatics.2011.5981089

DO - 10.1109/GeoInformatics.2011.5981089

M3 - 会议稿件

AN - SCOPUS:80052361279

SN - 9781612848488

T3 - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

BT - Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

T2 - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Y2 - 24 June 2011 through 26 June 2011

ER -

ALMANAC model parameters sensitivity analysis by Sobol algorithm

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Keywords

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