| 基于SIMDualKc模型估算非充分灌水条件下温室番茄蒸发蒸腾量 |
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| 引用本文： | 石小虎,蔡焕杰,赵丽丽,杨 佩,王子申.基于SIMDualKc模型估算非充分灌水条件下温室番茄蒸发蒸腾量[J].农业工程学报,2015,31(22):131-138. |
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| 作者姓名： | 石小虎 蔡焕杰 赵丽丽 杨 佩 王子申 |
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| 作者单位： | 1.西北农林科技大学旱区农业水土工程教育部重点实验室，杨凌 712100；2.西北农林科技大学中国旱区节水农业研究院，杨凌 712100,1.西北农林科技大学旱区农业水土工程教育部重点实验室，杨凌 712100；2.西北农林科技大学中国旱区节水农业研究院，杨凌 712100,1.西北农林科技大学旱区农业水土工程教育部重点实验室，杨凌 712100；2.西北农林科技大学中国旱区节水农业研究院，杨凌 712100,1.西北农林科技大学旱区农业水土工程教育部重点实验室，杨凌 712100；2.西北农林科技大学中国旱区节水农业研究院，杨凌 712100,1.西北农林科技大学旱区农业水土工程教育部重点实验室，杨凌 712100；2.西北农林科技大学中国旱区节水农业研究院，杨凌 712100 |
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| 基金项目： | 国家科技支撑计划（2011BAD29B01）；国家自然基金（51179162）；2011年度高等学校博士学科点专项科研基金资助课题（20110204130004） |
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| 摘 要： | 为了探讨SIMDual Kc模型在西北地区温室环境不同水分处理的适用性,以番茄为材料,于2013-2015年在陕西省杨凌区温室内进行亏水处理试验,设置全生育期充分灌水处理、仅发育期亏水50%处理、发育期中期连续亏水50%和全部亏水50%共4种水分处理,通过2013-2014年试验数据对SIMDual Kc模型进行率定,采用2014-2015年试验数据对模型进行验证,并通过模型将土壤蒸发量和番茄蒸腾量分开,利用模拟结果分析不同水分处理对土壤蒸发量和番茄蒸腾量的影响。结果表明:模型模拟不同水分处理蒸发蒸腾量与实测值有较好的一致性,其绝对误差为0.22~0.33 mm/d,均方根误差为0.26~0.48 mm/d、决定系数为0.51~0.81。该模型可以准确的将不同水分处理土壤蒸发量和作物蒸腾量分开,且土壤蒸发量模拟值与实测值有较好的一致性,其绝对误差为0.016~0.024 mm/d,均方根误差为0.013~0.034 mm/d和决定系数为0.63~0.84;通过模拟得到的番茄蒸腾量计算不同水分处理的水分亏缺系数,研究表明水分亏缺系数随亏水时间的增加而降低,复水后水分亏缺系数有不同程度的增加,且发育期、中期和后期连续亏水50%时,后期时水分亏缺系数降到最低,为0.63。因此该模型在西北地区温室环境下非充分灌溉条件下有一定的适用性。除此之外,研究通过模拟结果分析非充分灌水下番茄的响应及复水后的补偿机制,为非充分灌水条件下番茄栽培提供理论依据。
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| 关 键 词： | 温室 灌溉 模型 番茄 亏水处理 作物系数 水分亏缺系数 |
| 收稿时间： | 2015/7/17 0:00:00 |
| 修稿时间： | 2015/10/10 0:00:00 |
Estimation of greenhouse tomato evapotranspiration under deficit irrigation based on SIMDualKc model |
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| Shi Xiaohu,Cai Huanjie,Zhao Lili,Yang Pei and Wang Zishen.Estimation of greenhouse tomato evapotranspiration under deficit irrigation based on SIMDualKc model[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(22):131-138. |
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| Authors: | Shi Xiaohu Cai Huanjie Zhao Lili Yang Pei and Wang Zishen |
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| Institution: | 1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education; Northwest A&F University, Yangling 712100, China; 2. Chinese Arid Area Research Institute of Water-saving Agriculture, Northwest A&F University, Yangling 712100, China,1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education; Northwest A&F University, Yangling 712100, China; 2. Chinese Arid Area Research Institute of Water-saving Agriculture, Northwest A&F University, Yangling 712100, China,1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education; Northwest A&F University, Yangling 712100, China; 2. Chinese Arid Area Research Institute of Water-saving Agriculture, Northwest A&F University, Yangling 712100, China,1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education; Northwest A&F University, Yangling 712100, China; 2. Chinese Arid Area Research Institute of Water-saving Agriculture, Northwest A&F University, Yangling 712100, China and 1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education; Northwest A&F University, Yangling 712100, China; 2. Chinese Arid Area Research Institute of Water-saving Agriculture, Northwest A&F University, Yangling 712100, China |
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| Abstract: | Abstract: The purpose of this study was to investigate the feasibility of SIMDualKc model in estimating greenhouse evapotranspiration and soil evaporation in northwest China. A deficit irrigation experiment was set up in tomato greenhouse in Yangling, Shaanxi from 2013 to 2015. Four treatments were designed including full irrigation, deficit irrigation with 50% full irrigation amount for only the development stage, both in the development stage and middle stage, and in the whole stage. Measurement items were meteorological data such as temperature, crop data (growing stage of tomato, root depth, plant height and ground surface coverage), soil data (moisture), irrigation depth, total evaporable water and easy evaporable water. Experiment date obtained in 2013-2014 was for model calibration and that in 2014-2015 was for model validation. The results showed that the SIMDualKc model could well simulate the evapotranspiration in 2013-2015 under the four treatments with the mean absolute error (MAE) of 0.22-0.33 mm/d, root mean square error (RMSE) of 0.26-0.48 mm/d, and coefficient of determination (R2) of 0.51-0.81. The model also simulated soil evaporation accurately with the MAE of 0.016-0.024 mm/d, RMSE of 0.013-0.034 mm/d and R2 of 0.63-0.84. After model calibration, the basal crop efficient of each stage was adjusted as 0.34 for the initial stage, 0.34 for the development stage, 1.16 for the mid season stage, and 0.63 for the later season stage. According to the result of simulation, the soil evaporation ratio of greenhouse tomato was highest in the initial stage (10.7%-17.7%), and lowest in the mid stage or later stage (3.1%-5.1%). When the tomato was planted with mulching material, the crop transpiration ratio was 94.6% in the whole growth stage, and the soil evaporation ratio was 5.4% in the whole growth stage. The coefficients of water deficit calculated based on the simulated evapotranspiration for the development, middle, and later stage were 0.8, 0.94 and 0.98 for the deficit treatments with 50% irrigation amount only in the development stage, 0.8, 0.69 and 0.91 for the deficit treatments with 50% irrigation amount both in the development stage and the middle stage, and 0.8, 0.7 and 0.63 for the deficit treatments with 50% irrigation amount in the whole stage. The water deficit coefficient decreased with the duration of deficit irrigation, but would increase after rehydration. The coefficient of water deficit was lowest when the deficit irrigation lasted for the whole stage. Therefore, the SIMDualKc model can accurately simulate evapotranspiration of greenhouse tomato under deficit irrigation in the northwest China, and it is reliable to analyze the response of tomato to deficit irrigation and its water compensation mechanism based on simulation results. The study provides data support for tomato cultivation in greenhouse under deficit irrigation. |
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| Keywords: | greenhouse irrigation models tomato deficit crop coefficient coefficient of water deficit |
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