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Journal of Geographical Sciences

, Volume 29, Issue 9, pp 1491–1506 | Cite as

Impact of radiations on the long-range correlation of soil moisture: A case study of the A’rou superstation in the Heihe River Basin

  • Ting Zhang
  • Shi Shen
  • Changxiu ChengEmail author
Article
  • 14 Downloads

Abstract

Analyses of the soil moisture evolution trend and the influence of different types of radiation on soil moisture are of great significance to the simulation and prediction of soil moisture. In this paper, soil moisture (2–60 cm) and various radiation data from 2014–2015 at the A’rou superstation were selected. The radiation data include the net radiation (NR), shortwave and longwave radiation (SR and LR). Using adaptive fractal analysis (AFA), the long–range correlation (LRC) of soil moisture and long-range cross correlation (LRCC) between moisture and three types of radiation were analyzed at different timescales and soil depths. The results show that: (1) Persistence of soil moisture and consistency between soil moisture and radiation mutate at 18-d and 6-d timescales, respectively. The timescale variation of soil moisture persistence is mainly related to the influence process of radiation on soil moisture; (2) Both the soil moisture persistence and soil moisture-radiation consistency vary substantially with soil depth. The soil depth variation of soil moisture persistence is related to the influence intensity of radiation; (3) From 2–6 day timescales, LR displays the strongest influence on soil moisture at depths of 2–10 cm through negative feedback of radiation on the soil temperature. The influence intensity decreases with depth from 2–15 cm. Therefore, the soil moisture persistence is weak and increases with depth from 2–15 cm; and (4) At more than 6 day timescales, SR and NR display a stronger influence on the soil moisture persistence at depths of 2–40 cm through positive feedback of radiation on the soil temperature, especially at depths of 2–10 cm. This influence also weakens with depth. The soil moisture persistence at depths of 2–10 cm is the weakest and increases with depth from 2–40 cm. The research results are instructive for determining timescales and soil depths related to soil water in hydrological models.

Keywords

soil moisture radiation long-range correlation long-range cross correlation adaptive fractal analysis 

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Notes

Acknowledgments

Experimental data in this research is provided by the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) project. It is available from the Environmental and Ecological Science Data Center for West China at http://www.heihedata.org/. We would like to thank the high-performance computing support from the Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University [https://gda.bnu.edu.cn/].

References

  1. Alberto M C R, Quilty J R, Buresh R J et al., 2014. Actual evapotranspiration and dual crop coefficients for dry-seeded rice and hybrid maize grown with overhead sprinkler irrigation. Agricultural Water Management, 136(2): 1–12.Google Scholar
  2. Atchley A L, Maxwell R M, 2011. Influences of subsurface heterogeneity and vegetation cover on soil moisture, surface temperature and evapotranspiration at hillslope scales. Hydrogeology Journal, 19(2): 289–305.Google Scholar
  3. Betts A K, 1921. Idealized model for equilibrium boundary layer over land. Journal of Hydrometeorology, 1(6): 507–523.Google Scholar
  4. Biswas A, Zeleke T B, Si B C et al., 2012. Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage. Nonlinear Processes in Geophysics, 19(1): 1–12.Google Scholar
  5. Cheng C X, Shi P J, Song C Q et al., 2018. Geographic big-data: A new opportunity for geography complexity study. Acta Geographica Sinica, 73(8): 1397–1406. (in Chinese)Google Scholar
  6. Cheng W J, Cui J Y, Min F H et al., 2009. Root distribution characteristics of three turfgrasses and their impact on soil nutrient content. Acta Prataculturae Sinica, 18(1): 179–183. (in Chinese)Google Scholar
  7. Cong X, Wang X, Mei Y et al., 2017. Scaling analysis of the wind speed time-series based on adaptive fractal analysis method. Hydropower & New Energy, (11): 1–6. (in Chinese)Google Scholar
  8. Fei X L, Zhang X M, Jing L Y et al., 2013. Vertical variability of soil moisture content in semiarid loess region: A case study of Sunjiacha basin of Lanzhou in Gansu Province. Acta Pedologica Sinica, 50(4): 652–656. (in Chinese)Google Scholar
  9. Gao J, Hu J, Mao X et al., 2012. Culturomics meets random fractal theory: Insights into long-range correlations of social and natural phenomena over the past two centuries. Journal of the Royal Society Interface, 73(9): 1956–1964.Google Scholar
  10. Gao X F, Liu Y H, Guo J Q et al., 2015. Research on change of soil moisture content based on detrended fluctuation analysis. Soils, 47(1): 188–191. (in Chinese)Google Scholar
  11. Gu L, Meyers T, Pallardy S G et al., 2006. Direct and indirect effects of atmospheric conditions and soil moisture on surface energy partitioning revealed by a prolonged drought at a temperate forest site. Journal of Geophysical Research Atmospheres, 111(D16).  https://doi.org/10.1029/2006jd007161.
  12. Han L Y, Zhang Q, Jia J Y et al., 2014. Hydrological and ecological modeling in Shiyang River Basin. Chinese Journal of Soil Science, 45(2): 352–357. (in Chinese)Google Scholar
  13. He H D, Wang J L, Wei H R et al., 2016. Fractal behavior of traffic volume on urban expressway through adaptive fractal analysis. Physical Statistical Mechanics & Its Applications, 443: 518–525.Google Scholar
  14. Huang Z G, Ouyang Z Y, Li F R et al., 2009. Spatial and temporal dynamics in soil water storage under different use types of sloping fields: A case study in a highland region of southern china. Acta Ecologica Sinica, 29(6): 3136–3146. (in Chinese)Google Scholar
  15. Jiang A, Gao J, 2017. Fractal analysis of complex power load variations through adaptive multiscale filtering. International Conference on Behavioral, Economic and Socio-Cultural Computing (pp. 1–5). IEEE.Google Scholar
  16. Juancamilo V, Davidd B, Zou C et al., 2010. Ecohydrological controls of soil evaporation in deciduous drylands: How the hierarchical effects of litter, patch and vegetation mosaic cover interact with phenology and season. Journal of Arid Environments, 74(5): 595–602.Google Scholar
  17. Karelin D V, Zamolodchikov D G, Zukert N V et al., 2013. Interannual changes in par and soil moisture during warm season may be more important than temperature fluctuations in directing annual carbon balance in tundra. Biology Bulletin Reviews, 3(5): 371–387.Google Scholar
  18. Kirchner M, Schubert P, Liebherr M et al., 2014. Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson’s Disease: Stitching together short gait trials. Plos One, 9(1): e85787.  https://doi.org/10.1371/journal.pone.0085787.
  19. Kuznetsov N, Bonnette S, Gao J et al., 2013. Adaptive fractal analysis reveals limits to fractal scaling in center of pressure trajectories. Annals of Biomedical Engineering, 41(8): 1646.Google Scholar
  20. Lei J, Xia Z, Lu W, 2016. Long-range correlations of global sea surface temperature. Plos One, 11(4), e0153774.  https://doi.org/10.1371/journal.pone.0153774.
  21. Li G W, Feng Q, Zhang F P et al., 2014. The soil infiltration characteristics of typical grassland in Babao River Basin of Qilian Mountain. Agricultural Research in the Arid Areas, 32(1): 60–59. (in Chinese)Google Scholar
  22. Li P, Li Z B, Hao M D et al., 2003. Root distribution characteristics of natural grassland on Loess Plateau. Research of Soil & Water Conservation, 10(1): 144–843. (in Chinese)Google Scholar
  23. Li X, Cheng G, Liu S et al., 2013. Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8): 1145–1160.Google Scholar
  24. Li Y N, Zhao L, Xu S X et al., 2005. An analysis on the effects of coverage change on soil climate of alpine Kobresia humilis meadow. Journal of Arid Land Resources & Environment, 19(Suppl.1): 127–131. (in Chinese)Google Scholar
  25. Liu M, Bárdossy A, Li J et al., 2012. Physically-based modeling of topographic effects on spatial evapotranspiration and soil moisture patterns through radiation and wind. Hydrology and Earth System Sciences, 16(2): 357–373.Google Scholar
  26. Liu S M, Xu Z W, Wang W Z et al., 2011. A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology & Earth System Sciences, 15(4): 1291–1306.Google Scholar
  27. Liu W, Xu X, Kiely G, 2012. Spatial variability of remotely sensed soil moisture in a temperate-humid grassland catchment. Ecohydrology, 5(5): 668–676.Google Scholar
  28. Malek E, 1993. Rapid changes of the surface soil heat flux and its effects on the estimation of evapotranspiration. Journal of Hydrology, 142(1–4): 89–97.Google Scholar
  29. Maltese A, Bates P D, Capodici F et al., 2013. Critical analysis of thermal inertia approaches for surface soil water content retrieval. International Association of Scientific Hydrology Bulletin, 58(5): 1144–1161.Google Scholar
  30. Mandelbrot B B, 1991. The Fractal Geometry of Nature. BirkhauserVerlag.Google Scholar
  31. Ni G Y, Zhao P, Zhu L W et al., 2015. Hydraulic responses of whole tree transpiration of Schima superba to soil moisture in dry and wet seasons. Acta Ecologica Sinica, 35(3): 652–662. (in Chinese)Google Scholar
  32. Ouyang X, Chen D, Duan S B et al., 2017. Validation and analysis of long-term AATSR land surface temperature product in the Heihe River Basin, China. Remote Sensing, 9(152).  https://doi.org/10.3390/rs9020152.
  33. Parinussa R M, Wang G, Holmes T R H et al., 2014. Global surface soil moisture from the microwave radiation imager onboard the Fengyun-3b satellite. International Journal of Remote Sensing, 35(19): 7007–7029.Google Scholar
  34. Peng C K, Buldyrev S V, Havlin S et al., 1994. Mosaic organization of DNA nucleotides. Physical Review E, 49(2): 1685–1689.Google Scholar
  35. Peng H, Zhao C, Liang J, 2016. Daily variation of evapotranspiration rate of alpine grassland and analysis of its environmental factors in upper reach of Heihe River. Journal of Water Resources & Water Engineering, 27(1): 46–53. (in Chinese)Google Scholar
  36. Podobnik B, Jiang Z Q, Zhou W X et al., 2011. Statistical tests for power-law cross-correlated processes. Physical Review E Statistical Nonlinear & Soft Matter Physics, 84(2): 66–118.Google Scholar
  37. Porporato A, D’ Odorico P, Laio F et al., 2002. Ecohydrology of water-controlled ecosystems. Advances in Water Resources, 25(8–12): 1335–1348.Google Scholar
  38. Riley M A, Bonnette S, Kuznetsov N et al., 2012. A tutorial introduction to adaptive fractal analysis. Frontiers in Physiology, 3: 371.  https://doi.org/10.3389/fphys.2012.00371.Google Scholar
  39. Ross P J, Williams J, Mccrown R L, 1985. Soil temperature and the energy balance of vegetative mulch in the semi-arid tropics (1): Static analysis of the radiation balance. Australian Journal of Soil Research, 23(4): 493–514.Google Scholar
  40. Sadeghi M, Jones S B, Philpot W D, 2015. A linear physically-based model for remote sensing of soil moisture using short wave infrared bands. Remote Sensing of Environment, 164: 66–76.Google Scholar
  41. Shadkhoo S, Jafari G R, 2009. Multifractal detrended cross-correlation analysis of temporal and spatial seismic data. European Physical Journal B, 72(4): 679–683.Google Scholar
  42. Shang L, Lv S, Li S et al., 2010. Effect of soil freezing and thawing on surface radiation over Qinghai-Tibet Plateau. Acta Energiae Solaris Sinica, 31(1): 12–16. (in Chinese)Google Scholar
  43. Shen S, Ye S, Cheng C et al., 2018. Persistence and corresponding time scales of soil moisture dynamics during summer in the Babao River Basin, Northwest China. Journal of Geophysical Research: Atmospheres, 123: 1–13.Google Scholar
  44. Song C Q, Cheng C X, Shi P J, 2018. Geography complexity: New connotations of geography in the new era. Acta Geographica Sinica, 73(7): 1204–1213. (in Chinese)Google Scholar
  45. Song C Q, Yuan L H, Yang X F et al., 2017. Ecological-hydrological processes in arid environment: Past, present and future. Journal of Geographical Sciences, 27(12): 1577–1594.Google Scholar
  46. Song R L, Yu J J, Liu C M et al., 2011. Long-range correlations of soil moisture series with detrended fluctuation analysis. Journal of Hydraulic Engineering, 42(3): 315–322. (in Chinese)Google Scholar
  47. Stanhill G, Rosa R, Cohen S, 2013. The roles of water vapour, rainfall and solar radiation in determining air temperature change measured at Bet Dagan, Israel between 1964 and 2010. International Journal of Climatology, 33(7): 1772–1780.Google Scholar
  48. Wang D H, Suo Y Y, 2014. Cross-correlation and risk measurement between CSI 300 index futures and spot markets in China. Systems Engineering-Theory & Practice, 34(3): 631–639.Google Scholar
  49. Wang J, Zhao D Q, 2012. Detrended cross-correlation analysis of electroencephalogram. Chinese Physics B, 21(2): 577–580. (in Chinese)Google Scholar
  50. Wang P, Wang J, 2012. Detrended cross-correlation analysis: A new method for gait signal analysis. Journal of Biomedical Engineering, 29(6): 1193–1196. (in Chinese)Google Scholar
  51. Wang Q F, Zhang T J, Peng X Q, 2013. Freezing and thawing processes and their impact on ground surface radiation balance in the upper reaches of Heihe river. Journal of Lanzhou University, 49(2): 182–191. (in Chinese)Google Scholar
  52. Wei J, Dirmeyer P A, Guo Z, 2008. Sensitivities of soil wetness simulation to uncertainties in precipitation and radiation. Geophysical Research Letters, 35(15): 189–193.Google Scholar
  53. Xie X H, Cui Y L, Zhou Y T, 2008. Long-term correlation and multi-fractality of reference crop evapotranspiration time series. Journal of Hydraulic Engineering, 39(12): 1327–1333. (in Chinese)Google Scholar
  54. Yang J, Su K, Ye S J, 2019. Stability and long-range correlation of air temperature in the Heihe River Basin. Journal of Geographical Sciences, 29(9): 1462–1474.Google Scholar
  55. Zhang L, Dawes W R, Walker G R, 2001. Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resources Research, 37(3): 701–708.Google Scholar
  56. Zhang L F, Zhang J Q, Zhang X et al., 2017. Characteristics of evapotranspiration of degraded alpine meadow in the Three-River Source region. Acta Agrestia Sinica, 25(2): 273–281. (in Chinese)Google Scholar
  57. Zhang T, Shen S, Cheng C et al., 2018. Long-range correlation analysis of soil temperature and moisture on A’rou hillsides, Babao River Basin. Journal of Geophysical Research: Atmospheres, 123: 12606–12620.Google Scholar

Copyright information

© Science Press 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina
  2. 2.Key Laboratory of Environmental Change and Natural DisasterBeijing Normal UniversityBeijingChina
  3. 3.Center for Geodata and Analysis, Faculty of Geographical ScienceBeijing Normal UniversityBeijingChina

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