Improving the prediction of soil evaporation for different soil types under dryland cropping

Kodur, Shreevatsa

doi:10.1016/j.agwat.2017.07.016

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…Soil sample were excavated at 20 cm intervals (up to 80 cm deep soil profiles) by using a soil corer for the soil water content Daily maximum temperature, minimum temperature, and rainfall from planting until harvest (April to October) in , 2017. Zuo et al 10.3389/fpls.2023 (SWC) measurement (n = 3) in each experimental plot.…”

Section: Soil Water Content and Crop Water Usementioning

confidence: 99%

“…Moreover, a high planting density significantly increases the ET C ( Cui et al., 2018 ; Wang et al., 2021b ). Therefore, higher irrigation volumes are required to meet the demand for higher yields under high-density planting ( Kodur, 2017 ; Wu et al., 2017 ; Hernandez et al., 2021 ). Some studies have also shown that ET C is related to leaf area, but a larger LAI did not lead to higher soil water consumption because of shading between leaves, although more bare land areas were covered ( Rahman et al., 2018 ; Di et al., 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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Optimal planting pattern of cotton is regulated by irrigation amount under mulch drip irrigation

Zuo

Wang

et al. 2023

Front. Plant Sci.

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ObjectiveIt is of great importance to explore agronomic management measures for water conservation and cotton yield in arid areas.MethodsA four–year field experiment was conducted to evaluate cotton yield and soil water consumption under four row spacing configurations (high/low density with 66+10 cm wide, narrow row spacing, RS66+10H and RS66+10L; high/low density with 76 cm equal row spacing, RS76H and RS76L) and two irrigation amounts (CI:conventional drip irrigation; LI:limited drip irrigation) during the growing seasons in Shihezi, Xinjiang.ResultsA quadratic relationship was observed between the maximum LAI (LAImax) and seed yield. Canopy apparent transpiration rate(CAT), daily water consumption intensity (DWCI) and crop evapotranspiration (ETC) were positively and linearly correlated with LAI. The seed yields, lint yields, and ETC under CI were 6.6–18.3%,7.1–20.8% and 22.9–32.6%higher than those observed under LI, respectively. The RS66+10H under CI had the highest seed and lint yields. RS76L had an optimum LAImax range, which ensured a higher canopy apparent photosynthesis and daily dry matter accumulation and reached the same yield level as RS66+10H; however, soil water consumption in RS76L was reduced ETC by 51–60 mm at a depth of 20–60 cm at a radius of 19–38 cm from the cotton row,and water use efficiency increased by 5.6–8.3%compared to RS66+10H under CI.ConclusionA 5.0<LAImax<5.5 is optimum for cotton production in northern Xinjiang, and RS76L under CI is recommended for high yield and can further reduce water consumption. Under LI, the seed and lint yield of RS66+10H were 3.7–6.0% and 4.6–6.9% higher than those of RS76L, respectively. In addition, high-density planting can exploit the potential of soil water to increase cotton yields under water shortage conditions.

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Section: Soil Water Content and Crop Water Usementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal planting pattern of cotton is regulated by irrigation amount under mulch drip irrigation

Zuo

Wang

et al. 2023

Front. Plant Sci.

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“…The meteorological parameters are total radiation, air temperature, air humidity and wind velocity (Schrödter 1985). The main biochemical parameters are the water content of soils (W. Brown 1912), the height of the groundwater level (Balugani et al 2017) and the type of soil (Kodur 2017).…”

Section: Evaporationmentioning

confidence: 99%

Evapotranspiration of Technical Substrates – Methodology for Calculating Evapotranspiration of Technical Substrates

Weiss¹,

Scharf²,

Pitha³

2019

J. Ecol. Eng.

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The existing formulae, like the well-known Penman-Monteith equation, used for calculating evapotranspiration are characterized by great differences concerning their results. These differences stem from the diversified climatic conditions and vegetation specifics during their development. Every formula of evapotranspiration only delivers 100% correct results, if it is used under the same climatic condition it was developed in. Therefore, a new method for calculating evapotranspiration via specific, but comparatively easily established formula was presented. After a theoretical introduction for illustrating some fundamental aspects for this work, the test setup and approach for creating these formulae are described in detail. The test set up considers typical climatic conditions and simulates, for example, the average temperature of Vienna, a summer day and an extremely hot day. While using a polynomial correlation, a formula for calculating evapotranspiration at any temperature is possible. For determining the evapotranspiration rate (in mm/m² per 24 hours day) due to the presented formula, only temperature, sort of vegetation and technical soil has to be defined. As a result, the relevance of this work is the presentation of a method to determine the evapotranspiration of any technical substrates (used for e.g. green roofs, façade greenery, indoor greenery, raingardens…) with or without any kind of vegetation, while using the created formula.

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“…In recent years, many research achievements have been made in estimating T:E in arid areas. S. Kodur [14] used the APSIM farming system model to improve the soil evaporation prediction for different soil types in arid areas. The prediction accuracy of crop yield was improved; Wang et al [15] studied the evapotranspiration components in desert and alpine ecosystems in the arid area of northwest China, which provided a basis for the analysis of underlying surface water use efficiency change.…”

Section: Introductionmentioning

confidence: 99%

Effects of Human Activities on Evapotranspiration and Its Components in Arid Areas

Liu

GUI

Yin

et al. 2023

IJERPH

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With the increasing impact of human activities on the environment, evapotranspiration (ET) has changed in arid areas, which further affects the water resources availability in the region. Therefore, understanding the impact of human activities on ET and its components is helpful to the management of water resources in arid areas. This study verified the accuracy of Fisher’s model (PT-JPL model) for ET estimation in southern Xinjiang, China by using the evaporation complementarity theory dataset (AET dataset). The ET and the evapotranspiration components (T:E) of six land-use types were estimated in southern Xinjiang from 1982 to 2015, and the impact of human activities on ET was analyzed. In addition, the impact of four environmental factors (temperature (Temp), net radiation (Rn), relative humidity (RH), and NDVI) on ET were evaluated. The results showed that the calculated ET values of the PT-JPL model were close to the ET values of the AET dataset. The correlation coefficient (R2) was more than 0.8, and the NSE was close to 1. In grassland, water area, urban industrial and mining land, forest land, and cultivated land, the ET values were high, and in unused land types, the ET values were the lowest. The T:E values varied greatly in urban industrial and mining land, forest land, and cultivated land, which was due to the intensification of human activities, and the values were close to 1 in summer in recent years. Among the four environmental factors, temperature largely influenced the monthly ET. These findings suggest that human activities have significantly reduced soil evaporation and improved water use efficiency. The impact of human activities on environmental factors has caused changes in ET and its components, and appropriate oasis expansion is more conducive to regional sustainable development.

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Improving the prediction of soil evaporation for different soil types under dryland cropping

Cited by 11 publications

References 28 publications

Optimal planting pattern of cotton is regulated by irrigation amount under mulch drip irrigation

Optimal planting pattern of cotton is regulated by irrigation amount under mulch drip irrigation

Evapotranspiration of Technical Substrates – Methodology for Calculating Evapotranspiration of Technical Substrates

Effects of Human Activities on Evapotranspiration and Its Components in Arid Areas

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