ORYZA2000 Rice Model Simulation Based On Measured Rice Field Temperature And Satellite Remote Sensing Data

There is no about that rice is the important food crop in China.The production of rice is related to national food security.With the continuous warming of the global climate,the greenhouse effect has gradually intensified.The hot disaster of high temperature of rice has frequently appeared.However,in the current warning and evaluation of heat damage of rice and the research of rice model,the actual growth environment temperature of rice field can more truly reflect the impact of high temperature stress of rice.So in this paper,on the basis of the previous research results,related research on the hot disaster of high temperature of rice and ORYZA2000 rice model based on the combination of measured temperature in the rice field,remote sensing data and meteorological station data is carried out.First,according to the field temperature data collected from the rice field experiment at Shouxian Station,combined with the measured dynamic plant height of rice,the temperature of each layer of rice was combined to form the combined temperature of the rice field(approximately the temperature of the canopy representing the growth and development of rice),and a linear regression model of the temperature of the station to estimate the temperature of the combined rice field was established.At the same time,MODIS satellite remote sensing data was used to extract rice planting area in Jiangsu Province.Furthermore,data such as surface temperature,vegetation index and other data as well as meteorological station data in this area were extracted.The temperature of the station was used to estimate the linear regression model of the combined temperature of the rice field.The temperature of the station was converted into the combined temperature of the rice field,and combined with the remote sensing data,the linear regression model of the remote sensing data to invert the combined temperature of the rice field was established.In addition,the cloud cover area in the remote sensing image was interpolated and fitted with the temperature of the station to estimate the combined temperature of rice field.Eventually,the complete time series of the combined temperature of rice field in the high temperature period in Jiangsu Province was formed.Finally,the ORYZA2000 rice model was calibrated and verified,and the model parameters suitable for the growth and development of rice in Jiangsu Province were determined.In addition,the temperature of the station and the combined temperature of the rice field were used to carry out comparative simulations of rice biomass and yield in eight prefecture-level cities in Jiangsu Province.The main findings were as follows:(1)In the experiment at Shouxian Station,there was a certain difference between the combined temperature of the rice field and the temperature of the near meteorological station.Compared with the station,the daily maximum temperature of the rice field was higher during the entire development period of the rice,and the average daily maximum temperature difference was about 2.5 ?;Compared with the station,the daily minimum temperature of the rice field was slightly low,the average daily minimum temperature difference was about 0.8 ?.The simulation accuracy of the linear regression model for the temperature of the station to estimate the combined temperature of the rice field was higher.The RMSE of the daytime temperature simulation was 1.62 ?,the NRMSE was 5.4%,the RMSE of the night temperature simulation was 0.63 ?,and the NRMSE was 2.5%.(2)MODIS remote sensing data was used to extract the rice planting area in Jiangsu Province.In 2016 and 2017,its average error was 9.0%.The linear regression model of the remote sensing data to invert the combined temperature of the rice field was established.The RMSE was 1.79 ? and the NRMSE was 4.9%.The temperature of the station was used to estimate the linear regression model of the combined temperature of the rice field,the temperature of the meteorological station in Jiangsu Province was calculated as the combined temperature of the rice field,and the entire region was interpolated.The image after interpolation and the temperature image for the remote sensing data to invert the combined temperature of the rice field were fitted,which better filled the non-numerical area covered by clouds in the remote sensing image.Eventually,the complete time series of the combined temperature of rice field in the high temperature period in Jiangsu Province was formed.(3)The ORYZA2000 rice model was localized and calibrated,and the crop model parameters suitable for the growth and development of rice in Jiangsu Province were obtained.Moreover,after the calibration model was verified,the simulation situation was better for the rice growth period and the whole dry weight of the ground part of the biomass(WAGT),and the simulation situation was worse for the LAI.Overall,after localized calibration,the ORYZA2000 rice model can more accurately simulate the actual growth and development of rice.The temperature of the station and the combined temperature of the rice field were used separately to model the production of rice in eight prefecture-level cities in Jiangsu Province.By comparing the actual yields of rice in various cities,it was found that the ORYZA2000 rice model using the combined temperature of the rice field was more accurate.NRMSE was 3.9%,which was better than 6.2% of the temperature of the station.By comparing the biomass simulations,it was found that due to the high temperature of the model,the WAGT,WST and WSO of rice decreased,which directly led to the decline in the final rice yield.