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Impact of regional characteristics on the estimation of root-zone soil moisture from the evaporative index or evaporative fraction

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  • Sahaar, Shukran A.
  • Niemann, Jeffrey D.

Abstract

Accurate knowledge of root-zone soil moisture is of vital significance to many applications in agriculture, such as crop yield estimation, precision irrigation, salinity and groundwater management. Remote-sensing methods based on optical and thermal satellite imagery have been proposed to estimate fine-resolution (30 m grid cells) maps of root-zone soil moisture θ¯ or degree of saturation s¯ over large regions. These methods usually calculate the evaporative fraction ΛSEB as the ratio of the latent heat flux to the difference of the net radiation and ground heat flux. Then, they estimate θ¯ or s¯ from an empirical relationship with ΛSEB. A similar approach estimates θ¯ or s¯ using the evaporative index ΛPET, which is the ratio of the actual to potential evapotranspiration. However, previous research has shown that a single relationship between either θ¯ or s¯ and ΛSEB does not apply to all regions. The objective of this study is to evaluate the impact of regional soil, vegetation, and climatic conditions on the form and strength of the ΛSEB−θ¯, ΛPET−θ¯, ΛSEB−s¯, and ΛPET−s¯ relationships. To accomplish this goal, Extended Fourier Amplitude Sensitivity Test (eFAST) is applied to a physically-based model (HYDRUS 1-D) that simulates both evapotranspiration and soil moisture dynamics. The sensitivity results show that, within a given climatic region, soil characteristics such as the percent clay and percent silt are most important in determining the shape of the relationships, while vegetation characteristics such as leaf area index and maximum rooting depth have the greatest effect on the strength of these relationships. The total annual precipitation, which helps determine the climatic region, also has a strong effect on both the form and strength of the relationships. The parameters that define the ΛSEB−θ¯ and ΛPET−θ¯ relationships are also estimated using the regional characteristics. Estimating the parameters in this way allows the methods to be adapted to local conditions and has the potential to improve the θ¯ and s¯ estimates.

Suggested Citation

  • Sahaar, Shukran A. & Niemann, Jeffrey D., 2020. "Impact of regional characteristics on the estimation of root-zone soil moisture from the evaporative index or evaporative fraction," Agricultural Water Management, Elsevier, vol. 238(C).
    • Handle: RePEc:eee:agiwat:v:238:y:2020:i:c:s0378377419318281
    DOI: 10.1016/j.agwat.2020.106225
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    References listed on IDEAS

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    1. Bastiaanssen, Wim G. M. & Molden, David J. & Makin, Ian W., 2000. "Remote sensing for irrigated agriculture: examples from research and possible applications," Agricultural Water Management, Elsevier, vol. 46(2), pages 137-155, December.
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    1. Weiying Feng & Jiayue Gao & Rui Cen & Fang Yang & Zhongqi He & Jin Wu & Qingfeng Miao & Haiqing Liao, 2020. "Effects of Polyacrylamide-Based Super Absorbent Polymer and Corn Straw Biochar on the Arid and Semi-Arid Salinized Soil," Agriculture, MDPI, vol. 10(11), pages 1-17, November.
    2. Zhu, Pingzong & Zhang, Guanghui & Wang, Hongxiao & Zhang, Baojun & Liu, Yingna, 2021. "Soil moisture variations in response to precipitation properties and plant communities on steep gully slope on the Loess Plateau," Agricultural Water Management, Elsevier, vol. 256(C).

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