| Study on drought monitoring for winter wheat based on variation of biomass simulated by crop model |
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| DOI：10.7606/j.issn.1000-7601.2013.01.39 |
| Key Words: drought monitoring biomass crop model gross primary productivity(GPP) |
| Author Name | Affiliation | | LIU Xiaoyue | College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China | | WANG Pengxin | College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China | | ZHANG Shuyu | Shaanxi Provincial Meteorological Bureau, Xi’an 710014, China | | WANG Wei | College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China |
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| Abstract: |
| Based on the calibrated CERES-Wheat model and the
anomaly method, the inter-annual variability of biomass of winter wheat in the
Guanzhong Plain in Shaanxi Province was simulated. The results showed that when
the biomass anomaly was positive, there was no drought or no remarkable drought;
when the biomass anomaly was negative, the drought occurred. Accordingly, the d
rought monitoring model was established based on the biomass anomaly. A linear correlation analysis was applied to study the correlation between the precipitati
on anomaly and the biomass anomaly, which showed that the biomass anomaly was hi
ghly correlated with the cumulative precipitation anomaly in the last 20～50 day
s. This indicated that the model was feasible to be used for the near real-time
drought monitoring. Furthermore, the regional drought distribution was analyzed
by combining the model with the terrestrial gross primary productivity (GPP) of
every 8 days, which was derived from the MOD17A2 data of NASA EOS/MODIS (Terra)
from 2000 to 2009. The results showed that the Guanzhong Plain was suffered fro
m drought in the last ten days of April in 2000, 2003 and 2007, while there was
no drought in the same period of other study years. |
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