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Response of Soil Moisture to Hydro-meteorological Variables Under Different Precipitation Gradients in the Yellow River Basin

Author

Listed:
  • Sha Li

    (Shaanxi Normal University)

  • Wei Liang

    (Shaanxi Normal University)

  • Weibin Zhang

    (Shaanxi Normal University)

  • Qinghua Liu

    (Shaanxi Normal University)

Abstract

Soil moisture (SM), an indicator of the amount of water entering into an ecosystem, is an important component of hydrological cycling. In this study, the Soil and Water Assessment Tool (SWAT) model was used to explore spatiotemporal variations in SM and its responses to precipitation (P) and actual evapotranspiration (ET) in the Yellow River basin (YRB), a large water-limited basin in China. Results showed that model simulations performed well while drawing several important conclusions: (i) Annual P, ET, and SM exhibited a decreasing trend. On a seasonal scale, SM exhibited a negative trend with the exception of summer. On a monthly scale, SM was highest in September and lowest in June. Greater than half of the total area within the three precipitation gradients (PGs) exhibited a decline in SM, ranging between 53.16 and 74.63 %, indicating that YRB has been experiencing an increasingly severe drought period over the past 50 years. (ii) SM was positively correlated and more sensitive to P in descending order from arid regions, semi-arid regions, and semi-humid regions. SM was negatively correlated to ET in YRB but positively correlated to ET for each PG investigated. (iii) SM lagged behind P and ET by 0–3 months for YRB and all PGs, and time lags were relatively shorter in more arid areas. This study provides useful information for early warning of land water shortages. It also offers scientifically-based suggestions on ecosystem recovery and sound soil and water management practices for water-limited basins.

Suggested Citation

  • Sha Li & Wei Liang & Weibin Zhang & Qinghua Liu, 2016. "Response of Soil Moisture to Hydro-meteorological Variables Under Different Precipitation Gradients in the Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1867-1884, April.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1244-7
    DOI: 10.1007/s11269-016-1244-7
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    Cited by:

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    2. Junyu Qi & Sheng Li & Qiang Li & Zisheng Xing & Charles P.-A. Bourque & Fan-Rui Meng, 2016. "Assessing an Enhanced Version of SWAT on Water Quantity and Quality Simulation in Regions with Seasonal Snow Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5021-5037, November.
    3. Uniyal, Bhumika & Dietrich, Jörg & Vasilakos, Christos & Tzoraki, Ourania, 2017. "Evaluation of SWAT simulated soil moisture at catchment scale by field measurements and Landsat derived indices," Agricultural Water Management, Elsevier, vol. 193(C), pages 55-70.
    4. Prashant K. Srivastava, 2017. "Satellite Soil Moisture: Review of Theory and Applications in Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3161-3176, August.
    5. Junyu Qi & Sheng Li & Qi Yang & Zisheng Xing & Fan-Rui Meng, 2017. "SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3953-3974, September.

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