Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area

Zhang, Zhenyu; Li, Xiaoyu; Liu, Lijuan; Wang, Yugang; Li, Yan

doi:10.1016/j.agwat.2019.105953

Cited by 29 publications

(13 citation statements)

References 67 publications

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“…Using a Surface Energy Balance Algorithm for Land (SEBAL) algorithm to estimate the ET has obtained high accuracy in many case studies, and is currently the most reasonable and accurate method of estimating surface ET [49,50]. Zwart et al [51] proposed SEBAL based on an equation of surface energy balance as follows:…”

Section: Methods 231 Calculation and Calibration Of Each Component In The Sebal Modelmentioning

confidence: 99%

“…fected by meteorological factors and underlying surface factor characteristics of the ETSEBAL maybe correlated with some of thes ther than groundwater depth in the study region. Soil properties directly affect ET through changes in sensib flux [49,50]. The spatial distribution of soil types is shown in Fig including alfisols, semi-hydromorphic soil, anthrosols, primiti voirs, are recognized in study area.…”

Section: Influencing Factors Of Evapotranspirationmentioning

confidence: 97%

“…The mean and med lakes and reservoirs was 1.459 mm/d and 1.395 mm/d, respectiv of ETSEBAL value was 1.618 mm/d (1.622 mm/d) for alfisols, 1.614 anthrosols and 1.610 mm/d (1.619 mm/d) for semi-hydromorph semi-hydromorphic soil is mainly concentrated in northwest an region, respectively and anthrosols gathers in the middle of the and median of ETSEBAL value was 1.624 mm/d and 1.626 mm/d fo mostly located at the far western and southwestern mountain value was less for lakes and reservoirs, high for al semi-hydromorphic soil and higher for primary soil. Soil properties directly affect ET through changes in sensible heat flux and soil heat flux [49,50]. The spatial distribution of soil types is shown in Figure 5.…”

Section: Influencing Factors Of Evapotranspirationmentioning

confidence: 99%

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Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin

et al. 2021

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Understanding the spatial and temporal variations of evapotranspiration (ET) is vital for water resources planning and management and drought monitoring. The development of a satellite remote sensing technique is described to provide insight into the estimation of ET at a regional scale. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) was used to calculate the actual ET on a daily scale from Landsat-8 data and daily ground-based meteorological data in the upper reaches of Huaihe River on 20 November 2013, 16 April 2015 and 23 March 2018. In order to evaluate the performance of the SEBAL model, the daily SEBAL ET (ETSEBAL) was compared against the daily reference ET (ET0) from four theoretical methods: the Penman-Monteith (P-M), Irmak-Allen (I-A), the Turc, and Jensen-Haise (J-H) method, the ETMOD16 product from the MODerate Resolution Imaging Spectrometer (MOD16) and the ETVIC from Variable Infiltration Capacity Model (VIC). A linear regression equation and statistical indices were used to model performance evaluation. The results showed that the daily ETSEBAL correlated very well with the ET0, ETMOD16, and ETVIC, and bias between the ETSEBAL with them was less than 1.5%. In general, the SEBAL model could provide good estimations in daily ET over the study region. In addition, the spatial-temporal distribution of ETSEBAL was explored. The variation of ETSEBAL was significant in seasons with high values during the growth period of vegetation in March and April and low values in November. Spatially, the daily ETSEBAL values in the mountain area were much higher than those in the plain areas over the study region. The variability of ETSEBAL in this study area was positively correlated with elevation and negatively correlated with surface reflectance, which implies that elevation and surface reflectance are the important factors for predicting ET in this study area.

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Section: Methods 231 Calculation and Calibration Of Each Component In The Sebal Modelmentioning

confidence: 99%

Section: Influencing Factors Of Evapotranspirationmentioning

confidence: 97%

Section: Influencing Factors Of Evapotranspirationmentioning

confidence: 99%

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Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin

et al. 2021

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“…While the arid land appeared completely dry with low moisture content, vegetated surfaces and well-watered canopies contribute the most to high ETa estimates [65]. Generally, the water cycle is unceasingly supervised by the sun's irradiation, which in return plays a substantial role in the dissipation of available solar energy and the cycling of matter [66] and several physical aspects such as LAI, Rn-G, moisture ability, and vegetation greenness bearing a robust influence on energy dissipation [67]. Also, the allocation of energy flux into latent and sensible heat is vital in vegetated ecosystems.…”

Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitymentioning

confidence: 99%

“…The vegetated sites with a high evaporative fraction (EF) (Figure 8c) were recorded with the highest LE/Rn ranging between 0.7 to 0.9, and water bodies LE/Rn varying from 0.2 up to 0.6, while desert concrete surface and residential areas dissipate the least LE/Rn (−0.9 to −1.02) with low EF, due to the absence of vegetation cover and small water holding capacity [70]. Particularly, vegetation cover contributed to the modification of energy Generally, the water cycle is unceasingly supervised by the sun's irradiation, which in return plays a substantial role in the dissipation of available solar energy and the cycling of matter [67] and several physical aspects such as LAI, Rn-G, moisture ability, and vegetation greenness bearing a robust influence on energy dissipation [68]. Also, the allocation of energy flux into latent and sensible heat is vital in vegetated ecosystems.…”

Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitymentioning

confidence: 99%

Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

et al. 2021

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The Yanqi basin is the main irrigated and active agroecosystem in semi-arid Xinjiang, northwestern China, which further seeks responses to the profound local water-related drawbacks in relation to the unceasing landscape desiccation and scant precipitation. Yet, it comes as an astonishment that a few reported near-surface items and water vapor fluxes as so far required for water resources decision support, particularly in a scarce observation data region. As a contributive effort, here we adjusted the sensible heat flux (H) calibration mechanism of Surface Energy Balance Algorithm for Land (SEBAL) to high-resolution satellite dataset coupled with in-situ observation, through a wise guided “anchor” pixel assortment from surface reflectance-α, Leaf area index-LAI, vegetation index-NDVI, and surface temperature () to model the robustness of energy fluxes and Evapotranspiration-ETa over the basin. Results reasonably reflected ETa which returned low RMSE (0.6 mm), MAE (0.48 mm) compared to in-situ recordings, indicating the competence of SEBAL to predict vapor fluxes in this region. The adjustment unveiled the estimates of the land-use contribution to evapotranspiration with an average ranging from 3 to 4.69 mm, reaching a maximum of 5.5 mm. Furthermore, findings showed a high striking energy dissipation (LE/Rn) across grasslands and wetlands. The vegetated surfaces with a great evaporative fraction were associated with the highest LE/Rn (70–90%), and water bodies varying between 20% and 60%, while the desert ecosystem dissipated the least energy with a low evaporative fraction. Still, besides high portrayed evaporation in water, grasslands and wetlands varied interchangeably in accounting for the highest ETa followed by cropland. Finally, a substantial nexus between available energy (Rn-G) and ETa informed the available energy, influenced by NDVI to be the primary driver of these oases’ transpiration. This study provides essentials of near-surface energy fluxes and the likelihood of ETa with considerable baseline inferences for Yanqi that may be beneficial for long-term investigations that will attend in agrometeorological services and sustainable management of water resources in semi-arid regions.

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The effect of water stress on net primary productivity in northwest China

Zhang

Zhou

2021

Environ Sci Pollut Res

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Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area

Cited by 29 publications

References 67 publications

Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin

Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin

Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

The effect of water stress on net primary productivity in northwest China

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