|Table of Contents|

Evaluation of Heat Resources and Crop Collocation Standard of  Solar Greenhouse in Tianjin

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2018年09
Page:
93-99
Research Field:
Publishing date:

Info

Title:
Evaluation of Heat Resources and Crop Collocation Standard of  Solar Greenhouse in Tianjin
Author(s):
LIU FangCHEN SiningLI ChunLI Zhenfa
(Tianjin Climate Center,Tianjin 300074)
Keywords:
BP neural networksolar greenhousecrop collocation
PACS:
-
DOI:
10.11937/bfyy.20174363
Abstract:
Meteorological data of outside solar greenhouse of two overwintering periods (2012—2013 and 2013—2014) were used to construct the temperature inside solar greenhouse simulation model based on BP neural network.The temperature in greenhouse from 2009 to 2014 in overwintering period was simulated for three different and typical greenhouses (soil greenhouse,new type greenhouse and traditional second generation greenhouse).Construct the crop collocation standard of Tianjin solar greenhouse based on heat index according to the crop plant in winter.The results showed that root mean error (RMSE) and accuracy rate (AR) were used to estimate the accuracy of temperature simulation model.The RMSE of the minimum temperature in a day was between 1.9 ℃ and 3.5 ℃,the AR of absolute error below 4 ℃ was between 72% and 100%,which showed the effect of the model was good.The simulation error of maximum temperature was relative large because it was affected by ventilating.It was analyzed that the variety of positive accumulated temperature,effective accumulated temperature and critical temperature for three typical solar greenhouses from 2009 to 2014 respectively.The solar greenhouses were chosen in Jizhou,Jinghai and Wuqing district to estimate the index,which showed that the computed collocation standard was consistent with the actual collocation in crop production.

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Last Update: 2018-05-24