Simulation of Winter Wheat Leaf Temperature Based on SHAW Model
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Leaf temperature is the key factor that reflects the growth conditions of winter wheat, but it is difficult to obtain the dynamic variation and profile distribution of wheat field leaf temperature. The simultaneous heat and water (SHAW) model describes heat and water movement in a plant-snow-residue-soil system in detail.Taking Shangqiu as the study area, based on the localization,the SHAW model was used to simulate the leaf temperature time series curve and profile from 0cm to 60cm separated by 10cm from jointing period to heading period of winter wheat.The simulation results were analyzed by combining with field observed data at the same time. The results showed that the SHAW model can be used effectively to simulate leaf temperature time series curve and profile, and the coefficient of determination reached to 0.8476. The night simulation results were significantly better than the daytime,and the coefficient of determination were 0.8622 and 0.7602 respectively. The analysis of the average, minimum and maximum values of leaf temperature simulation showed that RMSE ranged from 1.36℃ to 4.09℃. The minimum temperature simulation effect was the best, and the average value was second, and the maximum temperature error was the greatest. The analysis of the leaf temperature profile showed that height decision coefficient all achieved above 0.82, and increased with the height. RMSE was ranged from 2.41℃ to 3.35℃, and MBE were all less than 0℃. The leaf temperature generally showed a tendency to decrease with the height in the night, while increase with the height during the day.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 10,2017
  • Revised:
  • Adopted:
  • Online: December 10,2017
  • Published: