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Frontiers of Agricultural Science and Engineering

ISSN 2095-7505

ISSN 2095-977X(Online)

CN 10-1204/S

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Front. Agr. Sci. Eng.    2019, Vol. 6 Issue (2) : 144-161    https://doi.org/10.15302/J-FASE-2019258
RESEARCH ARTICLE
Modeling water and heat transfer in soil-plant-atmosphere continuum applied to maize growth under plastic film mulching
Meng DUAN1, Jin XIE2, Xiaomin MAO1()
1. Centre for Agricultural Water Research in China/College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
2. Hunan Polytechnic of Water Resources and Electric Power, Changsha 410131, China
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Abstract

Based on our previous work modeling crop growth (CropSPAC) and water and heat transfer in the soil-plant-atmosphere continuum (SPAC), the model was improved by considering the effect of plastic film mulching applied to field-grown maize in North-west China. In CropSPAC, a single layer canopy model and a multi-layer soil model were adopted to simulate the energy partition between the canopy and water and heat transfer in the soil, respectively. The maize growth module included photosynthesis, growth stage calculation, biomass accumulation, and participation. The CropSPAC model coupled the maize growth module and SPAC water and heat transfer module through leaf area index (LAI), plant height and soil moisture condition in the root zone. The LAI and plant height were calculated from the maize growth module and used as input for the SPAC water and heat transfer module, and the SPAC module output for soil water stress conditions used as an input for maize growth module. We used rs, the representation of evaporation resistance, instead of the commonly used evaporation resistance rs0 to reflect the change of latent heat flux of soil evaporation under film mulching as well as the induced change in energy partition. The model was tested in a maize field at Yingke irrigation area in North-west China. Results showed reasonable agreement between the simulations and measurements of LAI, above-ground biomass and soil water content. Compared with the original model, the modified model was more reliable for maize growth simulation under film mulching and showed better accuracy for the LAI (with the coefficient of determination R2 = 0.92, the root mean square of error RMSE= 1.23, and the Nush-Suttclife efficiency Ens = 0.87), the above-ground biomass (with R2 = 0.96, RMSE= 7.17 t·ha1 and Ens = 0.95) and the soil water content in 0–1 m soil layer (with R2 = 0.78, RMSE= 49.44 mm and Ens = 0.26). Scenarios were considered to simulate the influence of future climate change and film mulching on crop growth, soil water and heat conditions, and crop yield. The simulations indicated that the change of LAI, leaf biomass and yield are negatively correlated with temperature change, but the growing degree-days, evaporation, soil water content and soil temperature are positively correlated with temperature change. With an increase in the ratio of film mulching area, the evaporation will decrease, while the impact of film mulching on crop transpiration is not significant. In general, film mulching is effective in saving water, preserving soil moisture, increasing soil surface temperature, shortening the potential growth period, and increasing the potential yield of maize.

Keywords film mulching      growth stage      leaf area index      maize growth      water and heat transfer     
Corresponding Author(s): Xiaomin MAO   
Just Accepted Date: 18 April 2019   Online First Date: 10 May 2019    Issue Date: 22 May 2019
 Cite this article:   
Meng DUAN,Jin XIE,Xiaomin MAO. Modeling water and heat transfer in soil-plant-atmosphere continuum applied to maize growth under plastic film mulching[J]. Front. Agr. Sci. Eng. , 2019, 6(2): 144-161.
 URL:  
https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2019258
https://academic.hep.com.cn/fase/EN/Y2019/V6/I2/144
Fig.1  Diagram of water and heat transfer in Crop-SPAC (maize growth) under film mulching
Parameter Description Value range Value Unit
Tb Base temperature of maize growth 8 °C
To Optimum temperature of maize growth 34 °C
Tm Maximum temperature of maize growth 44 °C
GDD Growing degree-days 6 °C·d1·cm1
P1 GDD of Stage 2 5–450 352 °C·d1
P20 Critical day length of maize 12.5 h
P2 Days with increased hours of sunshine 0–2 0.796 d·h1
DJTI GDD of Stage 3 4 d
PHINT Leaf interval 75 °C·d1
DSGFT GDD of Stage 5 170 °C·d1
P5 GDD of Stage 6 580–999 600 °C·d1
α The ratio of film mulching area 0–1 0.7
Tab.1  Parameters used in the maize growth stages
Fig.2  Comparison between simulated and measured soil water storage in 0-1 m soil layer
Fig.3  Comparison between simulated and measured soil water content at 10 June (a), 20 June (b), 24 July (c) and 16 August (d).
Fig.4  Daily averaged soil temperature simulated processes at depths of 10 (a), 50 (b), (c) 100 (c) and 150 cm (d)
Fig.5  Simulated values of soil temperature profiles at different times (24:00, 08:00, 16:00) on 10 May (a), 22 June (b), 21 July (c)and 1 September(d).
Fig.6  Daily evaporation (E), transpiration (T) and cumulative evapotranspiration (ET) processes during simulation period for crop growth
Fig.7  Comparison between simulated and measured leaf area index
Fig.8  Comparison between simulated and measured above-ground biomass
Simulated yield Measured yield Relative error (d)
10.81 10.32 4.70%
Tab.2  Comparison between simulated and measured yield (t·ha1)
Fig.9  Simulation of maize developmental stages, leaf area index and leaf biomass
Variable Temperature+ 2°C(Change) Temperature – 2°C (Change) Temperature
Yield 10.57 (2.15%↓) 10.79 (0.17%↓) 10.81
Tab.3  Comparison of the effect of temperature change on yield(t/ha)
Fig.10  The simulation of daily evaporation and transpiration
Variable T+ 2°C(Change) T- 2°C (Change) T
ET (mm·d1) 753.32 (2.14%↓) 777.14 (0.95%↑) 769.81
WUE (kg·ha1·mm1) 14.04 (0.01%↓) 13.88 (0.11%↓) 14.04
Tab.4  Comparison of the effect of temperature change on ET (mm·d1) and WUE (kg·ha1·mm1)
Fig.11  The simulated and actual soil water content and soil temperature
Fig.12  Simulation of daily evaporation and daily transpiration
Fig.13  The simulation of soil water content and soil temperature
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