IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v24y2010i10p2247-2266.html
   My bibliography  Save this article

Spatial Distributions of Soil Surface-Layer Saturated Hydraulic Conductivity and Controlling Factors on Dam Farmlands

Author

Listed:
  • Peipei Zhao
  • Mingan Shao
  • Tiejun Wang

Abstract

Saturated hydraulic conductivity (Ks) is a critical soil property affecting water flow and solute transport. In the Loess Plateau of China, sloping farmlands have been increasingly replaced by dam farmlands to achieve higher crop yields and more importantly to control soil erosions. It is necessary to understand the spatial pattern of near-surface K S on those newly formed dam farmlands, because the land surface processes (e.g., erosion that is controlled by overland flow) are largely determined by the spatial distribution of near-surface Ks. In this study, near-surface Ks (e.g., 5 cm depth of the surface layers) was measured using 336 undisturbed soil samples collected from two dam farmlands located in the Liudaogou catchment, a heavily studied catchment in the Loess Plateau of China. Based on classical and geostatistical analyses, the soil properties at the filled dam farmland showed more spatial variations compared to the silting dam farmland. Statistical scale-invariance was evaluated using the Hurst scaling parameter (H) for different soil parameters. The H values ranged from 0.646 to 0.877, indicating certain degrees of statistical scale-invariance and long-range dependency within the spatial range. The bulk density (D b ), saturated water content (SW), sand content (SA), silt content (SI), and clay content (CL) were shown to affect the K S values significantly with SW, SI, and CL negatively and SA and D b positively correlated with K S . The highest K S value was found at the middle portion of the dam farmlands and the lowest value was found at the locations with the minimum occurrence of surface runoff. In addition, the areas with lowest K S values corresponded to the areas with the highest CL, SI, and SW. The results showed that disturbing soil structure by planting crops would benefit the floodwater control on dam farmlands due to increased Ks and the flooding on dam farmlands would be eased due to the silting process. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Peipei Zhao & Mingan Shao & Tiejun Wang, 2010. "Spatial Distributions of Soil Surface-Layer Saturated Hydraulic Conductivity and Controlling Factors on Dam Farmlands," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2247-2266, August.
  • Handle: RePEc:spr:waterr:v:24:y:2010:i:10:p:2247-2266
    DOI: 10.1007/s11269-009-9550-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-009-9550-y
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-009-9550-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Rai & D. Ramana & R. Singh, 1998. "On the Prediction of Ground-Water Mound Formation in Response to Transient Recharge from a Circular Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 12(4), pages 271-284, August.
    2. Vadim Teverovsky & Murad Taqqu, 1997. "Testing for long‐range dependence in the presence of shifting means or a slowly declining trend, using a variance‐type estimator," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(3), pages 279-304, May.
    3. Ashok Mishra & S. Kar & V. Singh, 2007. "Prioritizing Structural Management by Quantifying the Effect of Land Use and Land Cover on Watershed Runoff and Sediment Yield," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1899-1913, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Renato Morbidelli & Corrado Corradini & Carla Saltalippi & Luca Brocca, 2012. "Initial Soil Water Content as Input to Field-Scale Infiltration and Surface Runoff Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1793-1807, May.
    2. Qu Simin & Wang Tao & Bao Weimin & Shi Peng & Jiang Peng & Zhou Minmin & Yu Zhongbo, 2013. "Evaluating Infiltration Mechanisms Using Breakthrough Curve and Mean Residence Time," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4579-4590, October.
    3. Peipei Zhao & Ming-an Shao & Ahmed Melegy, 2010. "Soil Water Distribution and Movement in Layered Soils of a Dam Farmland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3871-3883, November.
    4. Cheng Cheng & Jinxi Song & Xunhong Chen & Deming Wang, 2011. "Statistical Distribution of Streambed Vertical Hydraulic Conductivity along the Platte River, Nebraska," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(1), pages 265-285, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dominique Guegan, 2005. "How can we Define the Concept of Long Memory? An Econometric Survey," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 113-149.
    2. Juan J. Dolado & Jesús Gonzalo & Laura Mayoral, 2005. "What is What? A Simple Time-Domain Test of Long-memory vs. Structural Breaks," Working Papers 258, Barcelona School of Economics.
    3. Luis A. Gil-Alana, 2004. "Structural Change and the Order of Integration in Univariate Time Series," Computational Economics, Springer;Society for Computational Economics, vol. 23(3), pages 239-254, April.
    4. Philipp Sibbertsen, 2004. "Long memory versus structural breaks: An overview," Statistical Papers, Springer, vol. 45(4), pages 465-515, October.
    5. Perron, Pierre & Qu, Zhongjun, 2010. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 275-290.
    6. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    7. Pierre Perron & Zhongjun Qu, 2006. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts and its Implications for Stock Returns Volatility," Boston University - Department of Economics - Working Papers Series WP2006-016, Boston University - Department of Economics.
    8. Guglielmo Caporale & Luis Gil-Alana, 2013. "Long memory in US real output per capita," Empirical Economics, Springer, vol. 44(2), pages 591-611, April.
    9. Chevillon, Guillaume & Mavroeidis, Sophocles, 2011. "Learning generates Long Memory," ESSEC Working Papers WP1113, ESSEC Research Center, ESSEC Business School.
    10. Santosh Thampi & Kolladi Raneesh & T. Surya, 2010. "Influence of Scale on SWAT Model Calibration for Streamflow in a River Basin in the Humid Tropics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4567-4578, December.
    11. Thomas Mikosch, 2004. "Is it really long memory we see in financial returns?," Econometrics 0412002, University Library of Munich, Germany.
    12. Kucharczyk, Daniel & Wyłomańska, Agnieszka & Sikora, Grzegorz, 2018. "Variance change point detection for fractional Brownian motion based on the likelihood ratio test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 439-450.
    13. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    14. María Dolores Gadea & Laura Mayoral, 2006. "The Persistence of Inflation in OECD Countries: A Fractionally Integrated Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    15. repec:ipg:wpaper:2014-078 is not listed on IDEAS
    16. Lu, Yang K. & Perron, Pierre, 2010. "Modeling and forecasting stock return volatility using a random level shift model," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
    17. Isao Ishida & Virmantas Kvedaras, 2015. "Modeling Autoregressive Processes with Moving-Quantiles-Implied Nonlinearity," Econometrics, MDPI, vol. 3(1), pages 1-53, January.
    18. Shang Han Lin, 2020. "A Comparison of Hurst Exponent Estimators in Long-range Dependent Curve Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-39, January.
    19. R. K. Jana & Aviral Kumar Tiwari & Shawkat Hammoudeh, 2019. "The Inefficiency of Litecoin: A Dynamic Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 447-457, June.
    20. John W. Galbraith & Greg Tkacz, 2007. "Forecast content and content horizons for some important macroeconomic time series," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(3), pages 935-953, August.
    21. Imen Zgueb Rejichi & Chaker Aloui & Duc Khuong Nguyen, 2014. "Assessing the efficiency of the MENA emerging stock markets: A sectoral perspective," Working Papers 2014-78, Department of Research, Ipag Business School.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:24:y:2010:i:10:p:2247-2266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.