Water consumption in summer maize and winter wheat cropping system based on SEBAL model in Huang-Huai-Hai Plain, China

Yang, Jianying; Mei, Xurong; Huo, Zhiguo; Yan, Changrong; Jiang, Hui; Zhao, Fenghua; Liu, Qin

doi:10.1016/s2095-3119(14)60951-5

Cited by 49 publications

(25 citation statements)

References 34 publications

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“…Therefore, the RLDs of winter wheat at different growth stages significantly differed (p < 0.05). The variation in the root system of winter wheat at different growth stages is consistent with the results reported by Zhang et al [2]. The RLDs of the three treatments decreased with an increase in the depth, but the effects of different irrigation depths on the RLD differed.…”

Section: Model Evaluationsupporting

confidence: 91%

“…The main range and intensity of RWU of winter wheat initially increased, then subsequently decreased over time, and reached the maximum during heading and filling stages. This phenomenon is because at these stages, the growth of winter wheat is optimal and the transpiration intensity is the highest [2]. Moreover, the greater the soil depth of irrigation, the deeper the RWU of winter wheat.…”

Section: Simulation Analysis Of Soil Water Dynamics At Different Irrimentioning

confidence: 99%

“…It is mainly planted in northern China. The planting area and yield of winter wheat account for more than half of the total planting area and yield of winter wheat in China [1,2]. However, the annual rainfall in this area is low, and the rainfall distribution is uneven.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of the Water Dynamics and Root Water Uptake of Winter Wheat in Irrigation at Different Soil Depths

Guo

Sun

et al. 2018

Water

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Soil water content (SWC) distribution plays an important role in root water uptake (RWU) and crop yield. Reasonable deep irrigation can increase the yield of winter wheat. The soil water movement model of winter wheat was established by considering the root water uptake and the different soil depths of irrigation and using the source term of the soil water movement equation to simulate irrigation at different soil depths. For model verification, experiments on three treatments of winter wheat growth were conducted at irrigation soil depths of 0% (T1), 40% (T2), and 70% (T3) of the distribution depth of the winter wheat root system. The SWC calculated by the model is in accordance with the dynamic change trend of the measured SWC. The maximum absolute error of the model was 0.022 cm 3 /cm 3 . The maximum average relative error was 7.95%. The maximum root mean square error was 0.28 cm 3 /cm 3 . Therefore, the model has a high simulation accuracy and can be used to simulate the distribution and dynamic changes of SWC of winter wheat in irrigation at different soil depths. The experimental data showed that irrigation soil depth has a significant effect on the root distribution of winter wheat (p < 0.05), and deep irrigation can reduce the root length density (RLD) in the upper soil layers and increase the RLD in the deeper soil layers. The dynamic simulation of RWU and SWC showed that deep irrigation can increase the SWC and RWU in deep soil and decrease the SWC and RWU in upper soil. Consequently, deep irrigation can increase the transpiration of winter wheat, reduce evaporation and evapotranspiration, and increase the yield of winter wheat.

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Section: Model Evaluationsupporting

confidence: 91%

Section: Simulation Analysis Of Soil Water Dynamics At Different Irrimentioning

confidence: 99%

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Simulation of the Water Dynamics and Root Water Uptake of Winter Wheat in Irrigation at Different Soil Depths

Guo

Sun

et al. 2018

Water

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“…Due to the interaction of monsoon climate with the complex topography in East Asia, China has suffered from long-lasting and severe droughts during the second half of twentieth century, which has caused significant socio-economic and eco-environment damages to the country (Yong et al 2013;Yang et al 2015;Zhang H L et al 2015). With the increasing temperature and changing distribution of precipitation, the drought risk is expected to increase further (Sillmann et al 2013;Wang and Chen 2014) and subsequently make crop production more uncertain.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario

Jiang

Garré

et al. 2017

Journal of Integrative Agriculture

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Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain (3H Plain), which is the grain production base in China. In this paper, we investigated the variations in drought characteristics (drought event frequency, duration, severity, and intensity) for the past 50 years and under future scenarios , based on the observed meteorological data and the RCP 8.5 scenario, respectively. First, we compared the applicability of three climatic drought indices: the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index based on the Penman-Monteith equation (SPEI-PM) and the Thornthwaite equation (SPEI-TH) to trace the recorded agricultural drought areas. Then, we analyzed the drought characteristics using "run theory" for both historical observations and future RCP 8.5 scenario based on proper index. Correlation analyses between drought indices and agricultural drought areas showed that SPEI-PM performed better than SPI and SPEI-TH in the 3H Plain. Based on the results of SPEI-PM, the past 50 years have experienced reduced drought of shorter duration, and of weaker severity and intensity. However, under the future RCP 8.5 scenario, drought is expected to rise in frequency, duration, severity, and intensity from 2010-2099, although drought components during the 2010-2039 are predicted to be milder compared with the historical conditions. This study highlights that the estimations for atmospheric evaporative demand would bring in differences in the prediction of long-term drought trends by different drought indices. The results of this study can help inform researchers and local policy makers to establish drought management strategies.

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“…[9][10][11] Development of remote sensing technology has made it possible to estimate land surface ET at the regional or basin scale. 12 Bastiaanssen et al 13,14 developed the Surface Energy Balance Algorithm for Land (SEBAL), a remote sensing model that maps ET, biomass growth, water deficit, and soil moisture. Recent advances in retrieval algorithms and satellite remote sensing technology have enabled large-scale mapping of ET.…”

Section: Introductionmentioning

confidence: 99%

Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model

Ning

Gao

2017

J. Appl. Remote Sens

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"Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model," J. Appl. Remote Sens. 11(1), 016009 (2017), doi: 10.1117/1.JRS.11.016009. Abstract. This study investigated the associations between land cover changes and evapotranspiration (ET) in the Yellow River Delta during the last 30 years using Landsat imagery. The result showed that the Delta region experienced a distinct increase in area due to sea-land interaction and sediment deposition, accompanied by substantial change in land cover fractions. From 1986 to 2015, 35.48% of land cover changed, mainly due to a transformation into salterns and culture ponds from other land cover types. In general, land cover was converted from less developed into highly developed types. The monowindow algorithm for retrieval of land surface temperature (LST) and the SEBAL model were used to explore the effects of land cover changes on regional ET. The results indicated that the average relative error of daily ET was 9.46%, and there was a significant linear correlation (R 2 ≥ 0.959, p < 0.001) between ET and LST. Relationships existed between LST, ET, fractional vegetation cover, and other relevant vegetation indices, and there were positive and negative correlations between different threshold ranges. During the study period, the transformation of large areas of different land cover types into salterns and culture ponds led to an average increase of 1.43 mm in daily ET.

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Water consumption in summer maize and winter wheat cropping system based on SEBAL model in Huang-Huai-Hai Plain, China

Cited by 49 publications

References 34 publications

Simulation of the Water Dynamics and Root Water Uptake of Winter Wheat in Irrigation at Different Soil Depths

Simulation of the Water Dynamics and Root Water Uptake of Winter Wheat in Irrigation at Different Soil Depths

Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario

Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model

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