Shiang-Jen Wu

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This study proposes a risk analysis model for the rice production due to climate change in terms of agro-climate indices (i.e., cumulative temperature anomaly, cumulative precipitation anomaly, cumulative sunlight anomaly, cumulative radiation anomaly, and E1 Niño). This risk analysis model is developed by incorporating the multivariate Monte Carlo(More)
This study proposes a risk analysis model for quantifying the insufficient risk of rice production due to the climate change and variation in irrigation water and cultivation area (named RA_RICE_UCW). In this study, the focus is on uncertainty in agro-climate factors (i.e., total precipitation, average temperature, total sunshine and average radiation)(More)
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