DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-15661

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International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
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Volume Issue
Issue
Volume-7,Issue-2, Special. Iss-2  ( Jun, 2019 )
Paper Title
Emulator based Global Sensitivity Analysis of Apsim-Sugar Model: Emulator Accuracy Assessment
Author Name
Mhjp Gunarathna, Kazuhito Sakai, Mkn Kumari
Affilition
United of Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan. Faculty of Agriculture, Rajarata University of Sri Lanka, Puliyankulama, Anuradhapura, Sri Lanka. Faculty of Agriculture, University of the Ryukyus, Okinawa, Japan.
Pages
1-5
Abstract
Global sensitivity analysis of process-based crop models is laborious and computationally expensive. Hence, the less computationally, expensive, and reliable approach is required. Gaussian Emulator Machine for Sensitivity Analysis (GEM-SA) use an emulator-based approach to conduct sensitivity analysis. Hence it is a computationally less expensive way to conduct global sensitivity analysis. It is tested with some process-based models, however rarely tested for crop models. This study aimed to assess the applicability of GEM-SA to conduct a sensitivity analysis of the APSIM crop model. Above-ground biomass, fresh cane yield, and sucrose weight of sugarcane were simulated for 300 input combinations using apsimr package of R 3.5 software. Thirty emulators (10 years x 3 outputs) were developed to estimate parameter sensitivity of 26 plant parameters using GEM-SA software. Results revealed that developed emulators are accurate. Hence the emulator-based approach is confident enough to conduct the sensitivity analysis of APSIM. GEM-SA provide a computationally less expensive and reliable platform to conduct a sensitivity analysis of the APSIM crop model. Keywords - Apsimr, Emulator, GEM-SA, Global Sensitivity Analysis, Sugarcane.
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