中国农学通报
中國農學通報
중국농학통보
CHINESE AGRICULTURAL SCIENCE BULLETIN
2013年
23期
117-122
,共6页
日光温室%温变速率%棚内外温差%预测模型
日光溫室%溫變速率%棚內外溫差%預測模型
일광온실%온변속솔%붕내외온차%예측모형
solar greenhouse%temperature variation rate%inside/outside temperature difference%prediction model
为了设施农业的发展，拓宽农业气象服务范围，减轻低温冷害对日光温室农业生产的影响，利用多年多点日光温室大棚内外气象观测资料，采用相关及温度变化速率分析方法，对日光温室内温度变化特征进行研究并建立预测模型。结果表明，日光温室内气温有明显的日变化和季节变化。不同的天气状况、不同季节产生不同的温变速率，晴天温度速率大于多云及阴天；寒冷期温变速率大于非寒冷期。大棚内温度日变化为“1升2降”，季节变化呈U型。日光温室内外温差随着外界气温的下降而加大，12月-翌年2月呈抛物线型变化。应用棚内温度预测模型，预报2012年2月中旬棚内最低温度，预报值平均绝对误差-0.7℃，平均相对误差-11.4%。
為瞭設施農業的髮展，拓寬農業氣象服務範圍，減輕低溫冷害對日光溫室農業生產的影響，利用多年多點日光溫室大棚內外氣象觀測資料，採用相關及溫度變化速率分析方法，對日光溫室內溫度變化特徵進行研究併建立預測模型。結果錶明，日光溫室內氣溫有明顯的日變化和季節變化。不同的天氣狀況、不同季節產生不同的溫變速率，晴天溫度速率大于多雲及陰天；寒冷期溫變速率大于非寒冷期。大棚內溫度日變化為“1升2降”，季節變化呈U型。日光溫室內外溫差隨著外界氣溫的下降而加大，12月-翌年2月呈拋物線型變化。應用棚內溫度預測模型，預報2012年2月中旬棚內最低溫度，預報值平均絕對誤差-0.7℃，平均相對誤差-11.4%。
위료설시농업적발전，탁관농업기상복무범위，감경저온냉해대일광온실농업생산적영향，이용다년다점일광온실대붕내외기상관측자료，채용상관급온도변화속솔분석방법，대일광온실내온도변화특정진행연구병건립예측모형。결과표명，일광온실내기온유명현적일변화화계절변화。불동적천기상황、불동계절산생불동적온변속솔，청천온도속솔대우다운급음천；한랭기온변속솔대우비한랭기。대붕내온도일변화위“1승2강”，계절변화정U형。일광온실내외온차수착외계기온적하강이가대，12월-익년2월정포물선형변화。응용붕내온도예측모형，예보2012년2월중순붕내최저온도，예보치평균절대오차-0.7℃，평균상대오차-11.4%。
The paper targets at promoting the development of agricultural facilities, expanding the scope of agro-meteorological services, and reducing impact of chilling damage on greenhouse agricultural production. It made researches on the temperature variation in the solar greenhouse and established related predictive models, in accordance with meteorological observation data inside and outside solar greenhouse collected on multiple monitoring sites over the years, by adopting correlation methods and the temperature variation rate analysis methods. It was shown from the results that there appeared significant diurnal and seasonal changes in temperature of solar greenhouse. At different weather conditions and different seasons, the variation rate varied; the temperature variation rate in sunny days was greater than that in cloudy days; the temperature variation rate in cold period was greater than that in non-cold period; the diurnal temperature variation of solar greenhouse was characterized by“one-increasing-factor”and“two-decreasing-factor”, seasonal change presented a“U-shaped”curve. The inside/outside temperature difference of solar greenhouse increased with decline of outside temperature, showing a parabolic change from December to February next year. The greenhouse temperature prediction model was applied to predicting minimum temperature inside greenhouse in February 2012. The average absolute error of forecast value was -0.7℃ , and the average relative error was -11.4%.
