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Performance Study of SPAW Model with Temperature-Derived ET0 as Input in Place of Pan Evaporation under Wheat Crop in a Semiarid Subtropical Climate
Authors:N K Lenka  S Mohanty  K K Singh  N V K Chakravarty
Affiliation:1Senior Scientist, Division of Agricultural Engineering, ICAR Research Complex for NEH Region, Barapani, Meghalaya 793103, India (corresponding author). E-mail: nklenka@rediffmail.com
2Scientist, Indian Institute of Soil Science, Bhopal, Madhya Pradesh 462038, India. E-mail: sangeeta_2@rediffmail.com
3Scientist, National Centre for Medium Range Weather Forecasting, Nioda, Uttar Pradesh, India. E-mail: kksingh@ncmrwf.gov.in
4Principal Scientist, Division of Agricultural Physics, Indian Agricultural Research Institute, Pusa campus, New Delhi 110012, India. E-mail: nvkchak@rediffmail.com
Abstract:In this study, we have attempted to enhance the utility of soil–plant–atmosphere–water (SPAW) model that has been used successfully by various workers in different countries for soil moisture prediction under different cropping conditions. One of the major climatic inputs for SPAW model is pan evaporation, which in many places is not readily available. To address the above, and to get the benefit of this model in regions characterized by limited weather data availability, this study was undertaken using computed ET0 from air temperature by the 1985 Hargreaves equation, as one of the inputs in place of pan evaporation. For the purpose, actual air temperature collected from experimental farm area, as well as forecast air temperature collected from National Centre for Medium Range Weather Forecasting, Government of India, were used. First, the SPAW model was calibrated and its performance was evaluated under wheat, taking layerwise and profile soil moisture as the variables for comparison between the predicted and observed values. The results showed that the root-mean-square error (RMSE) varied from 0.30?to?0.58?cm for measured values ranging between 2.24 and 4.25?cm. The index of agreement (d) varied from 0.81 to 0.92 and coefficient of determination (r2) from 0.46 to 0.73 for 0–15, 15–30, 30–45, and 45–60?cm soil depths. For the whole 60?cm profile, the RMSE was 1.07?cm with d and r2 values of 0.94 and 0.85 respectively. The RMSE and d varied from 0.36?to?0.63?cm and 0.77 to 0.89 respectively when ET0 computed from actual air temperature was used in place of pan evaporation, where as when ET0 computed from forecast air temperature data was used, the corresponding values were 0.35–0.64?cm and 0.68–0.85 respectively for the four soil layers. There was a tendency of the models to underestimate when the computed ET0 was used as input in place of pan evaporation. In general, performance of the models were better at lower depths.
Keywords:Temperature  Evaporation  Crops  Tropical regions  Soil water  
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