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International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem

2015, GRMSE 2015: Geo-Informatics in Resource Management and Sustainable Ecosystem pp 816–824Cite as

Adaptability Analysis of Cosmic-Ray Neutron Method to Monitoring Soil Moisture in Desert Steppe

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

Abstract

In order to research the adaptability of cosmic-ray neutron method in soil moisture measurement and serve the management and decision of animal husbandry, continuous monitoring was conducted by the Cosmic-Ray Sensing probe (CRS) in desert steppe. By comparing with measuring results of the Time Domain Reflectometry (TDR), the consistency of soil moisture measured by CRS and TDR and the sensitivity in response of soil moisture with both methods to rainfall were researched. Results show that a good consistency of soil moisture measured by CRS and TDR is achieved and that TDR isn’t sensitive to rainfall, while CRS can not only respond quickly to rainfall but also reveal clearly corresponding changes of soil moisture led by different rainfalls. It’s concluded that cosmic-ray neutron method can measure soil moisture and reflect its dynamic change accurately in desert steppe and provide decision basis for the modern animal husbandry management.

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References

  1. Chrisman, B., Zreda, M.: Quantifying mesoscale soil moisture with the cosmic-ray rover. J. Hydrol. Earth Syst. Sci. 17, 5097–5108 (2013)

    Article  Google Scholar 

  2. Almeida, A.C., Dutta, R., Franz, T.E.: Combining cosmic-ray neutron and capacitance sensors and fuzzy inference to spatially quantify soil moisture distribution. IEEE Sens. J. 14(10), 3465–3472 (2014)

    Article  Google Scholar 

  3. Baroni, G., Oswald, S.E.: A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing. J. Hydrol. (2015). doi:http://dx.doi.org/10.1016/j.jhydrol.2015.03.053

    Google Scholar 

  4. Han, X.J., Jin, R., Li, X., et al.: Soil moisture estimation using cosmic-ray soil moisture sensing at heterogeneous farmland. J IEEE Geosci. Remote Sens. Lett. 11(9), 1659–1663 (2014)

    Article  Google Scholar 

  5. Zhu, Z.L., Tan, L., Gao, S.G., et al.: Observation on soil moisture of irrigation cropland by cosmic-ray probe. J IEEE Geosci. Remote Sens. Lett. 12(3), 472–476 (2015)

    Article  Google Scholar 

  6. Zreda, M., Desilets, D., Ferré, T.P.A., et al.: Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons. J. Geophys. Res. Lett. 35, L21402 (2008)

    Google Scholar 

  7. Zreda, M., Shuttleworth, W.J., Zeng, X.: COSMOS: The COsmic-ray Soil Moisture Observing System. J. Hydrol. Earth Syst. Sci. Discuss. 9, 4505–4551 (2012)

    Article  Google Scholar 

  8. Jiao, Q.S., Zhu, Z.L., Liu, S.M., et al.: Research and application of cosmic-ray neutron method to measuring soil moisture at farmland. J. Adv. Earth Sci. 28(10), 1136–1143 (2013). 焦其顺, 朱忠礼, 刘绍民, 等. 宇宙射线中子法在农田土壤水分测量中的研究与应用[J].地球科学进展, 28(10), 1136–1143 (2013)

    Google Scholar 

  9. Desilets, D., Zreda, M.: Footprint diameter for a cosmic-ray soil moisture probe: theory and monte carlo simulations. J. Water Resour. Res. (2013). doi:10.1029/wrcr.20187

  10. Franz, T.E., Zreda, M., Ferré, T.P.A., et al.: Measurement depth of the cosmic-ray soil moisture probe affected by hydrogen from various sources. J. Water Resour. Res. 48, W08515 (2012)

    Google Scholar 

  11. Franz, T.E., Zreda, M., Rosolem, R.: Field validation of a cosmic-ray neutron sensor using a distributed sensor network. J. Vadose Zone (2012). doi:10.2136/vzj2012.0046

    Google Scholar 

  12. Rosolem, R., Shuttleworth, W.J., Zreda, M., et al.: The effect of atmospheric water vapor on neutron count in the cosmic-ray soil moisture observing system. J. Hydrometeorology 14, 1659–1671 (2013)

    Google Scholar 

  13. Desilets, D., Zreda, M., Ferré, T.P.A.: Nature’s neutron probe: land surface hydrology at an elusive scale with cosmic rays. J. Water Resour. Res. 46, W11505 (2010)

    Google Scholar 

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Acknowledgments

This paper was funded by the “948” plan of Ministry of Water Resources, P.R. China (No. 201401).

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Authors and Affiliations

  1. China Institute of Water Resources and Hydropower Research, Fuxing Road. A-1, Beijing, 100038, China

    Zhiguo Pang, Jingya Cai, Jun’e Fu, Wenlong Song & Yizhu Lu

  2. Research Center on Flood and Drought Reduction of the Ministry of Water Resources, Fuxing Road. A-1, Beijing, 100038, China

    Zhiguo Pang, Jingya Cai, Jun’e Fu, Wenlong Song & Yizhu Lu

Authors
  1. Zhiguo Pang
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  2. Jingya Cai
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  3. Jun’e Fu
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  4. Wenlong Song
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  5. Yizhu Lu
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Corresponding author

Correspondence to Zhiguo Pang .

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Editors and Affiliations

  1. Wuhan University , Wuhan, China

    Fuling Bian

  2. Eastern Michigan University , Ypsilanti, China

    Yichun Xie

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Pang, Z., Cai, J., Fu, J., Song, W., Lu, Y. (2016). Adaptability Analysis of Cosmic-Ray Neutron Method to Monitoring Soil Moisture in Desert Steppe. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_84

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  • DOI: https://doi.org/10.1007/978-3-662-49155-3_84

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49154-6

  • Online ISBN: 978-3-662-49155-3

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