|Water Science and Engineering 2018, 11(2) 139-146 DOI: https://doi.org/10.1016/j.wse.2018.07.007 ISSN: 1674-2370 CN: 32-1785/TV|
|Current Issue | Archive | Search [Print] [Close]|
Deep soil water recharge response to precipitation in Mu Us Sandy Land of China
Yi-ben Cheng a,b,c,*, Hong-bin Zhan c, Wen-bin Yang b, Fang Bao b
a School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Soil water is the main form of water in desert areas, and its primary source is precipitation, which has a vital impact on the changes in soil moisture and plays an important role in deep soil water recharge (DSWR) in sandy areas. This study investigated the soil water response of mobile sand dunes to precipitation in a semi-arid sandy area of China. Precipitation and soil moisture sensors were used to simultaneously monitor the precipitation and the soil water content (SWC) dynamics of the upper 200-cm soil layer of mobile sand dunes located at the northeastern edge of the Mu Us Sandy Land of China in 2013. The data were used to analyze the characteristics of SWC, infiltration, and eventually DSWR. The results show that the accumulated precipitation (494 mm) from April 1 to November 1 of 2013 significantly influenced SWC at soil depths of 0 to 200 cm. When SWC in the upper 200-cm soil layer was relatively low (6.49%), the wetting front associated with 53.8 mm of accumulated precipitation could reach the 200-cm deep soil layer. When the SWC of the upper 200-cm soil layer was relatively high (10.22%), the wetting front associated with the 24.2 mm of accumulated precipitation could reach the upper 200-cm deep soil layer. Of the accumulated 494-mm precipitation in 2013, 103.2 mm of precipitation eventually became DSWR, accounting for 20.9% of the precipitation of that year. The annual soil moisture increase was 54.26 mm in 2013. Accurate calculation of DSWR will have important theoretical and practical significance for desert water resources assessment and ecological construction
|Keywords： Mu Us Sandy Land sandy land DSWR precipitation wetting front|
|Received 2017-05-27 Revised 2018-03-13 Online: 2018-04-30|
This study was supported by the National Natural Science Foundation of China (Grant No. 41661006), the Fundamental Research Funds for the Central Non-Profit Research Institution of Chinese Academy of Forestry (Grant No. CAFYBB2014QB046), and Chinese Scholarship Council.
|Corresponding Authors: Yi-ben Cheng|
Ayalon, A., Bar-Matthews, M., Sass, E., 1998. Rainfall-recharge relationships within a karstic terrain in the Eastern Mediterranean semi-arid region, Israel: δ18O and δD characteristics. Journal of Hydrology, 207(1-2), 18-31. https://doi.org/10.1016/S0022-1694(98)00119-X.
Basso, A.S., Miguez, F.E., Laird, D.A., Horton, R., Westgate, M., 2013. Assessing potential of biochar for increasing water-holding capacity of sandy soils. Gcb Bioenergy, 5(2), 132-143. https://doi.org/10.1111/gcbb.12026.
Cassel, D., Nielsen, D., 1986. Field capacity and available water capacity. In: Klute, A., ed., Methods of Soil Analysis: Part I. Physical and Mineralogical Methods. Soil Science Society of America, Madison, pp. 901-926.
Cheng, Y., Zhan, H., Yang, W., Dang, H., Li, W., 2017. Is annual recharge coefficient a valid concept in arid and semi-arid regions? Hydrology and Earth System Sciences, 21, 5031-5042. https://doi.org/10.5194/hess-21-5031-2017.
Dekker, L.W., Ritsema, C.J., 1994. How water moves in a water repellent sandy soil: 1. Potential and actual water repellency. Water Resources Research, 30(9), 2507-2517. https://doi.org/10.1029/94WR00749.
Ek, M.B., Mitchell, K.E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., Tarpley, J.D., 2003. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research: Atmospheres, 108(D22), 8851. https://doi.org/10.1029/2002JD003296.
Goswami, B.N., Venugopal, V., Sengupta, D., Madhusoodanan, M., Xavier, P.K., 2006. Increasing trend of extreme rain events over India in a warming environment. Science, 314(5804), 1442-1445. https://doi.org/10.1126/science.1132027.
Imeson, A., 2012. Desertification, land degradation and sustainability, John Wiley & Sons, Massachusetts.
Jin, Z., Qi, Y.C., Dong, Y.S., Domroes, M., 2009. Seasonal patterns of soil respiration in three types of communities along grass-desert shrub transition in Inner Mongolia, China. Advances in Atmospheric Sciences, 26(2), 503-512. https://doi.org/10.1007/s00376-009-0503-4.
Katoh, K., Takeuchi, K., Jiang, D., Nan, Y.H., Kou, Z.W., 1998. Vegetation restoration by seasonal exclosure in the Kerqin Sandy Land, Inner Mongolia. Plant Ecology, 139(2), 133-144. https://doi.org/10.1023/A:1009719604815.
Laio, F., Porporato, A., Ridolfi, L., Rodriguez-Iturbe, I., 2001. Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress: II. Probabilistic soil moisture dynamics. Advances in Water Resources, 24(7), 707-723. https://doi.org/10.1016/S0309-1708(01)00005-7.
Li, X.R., Ma, F.Y., Xiao, H.L., Wang, X.P., Kim, K.C., 2004. Long-term effects of revegetation on soil water content of sand dunes in arid region of Northern China. Journal of Arid Environments, 57(1), 1-16. https://doi.org/10.1016/S0140-1963(03)00089-2.
Li, Y.L., Cui, J.Y., Zhang, T.H., Okuro, T., Drake, S., 2009. Effectiveness of sand-fixing measures on desert land restoration in Kerqin Sandy Land, northern China. Ecological Engineering, 35(1), 118-127. https://doi.org/10.1016/j.ecoleng.2008.09.013.
Liu, X.P., Zhang, T.H., Zhao, H.L., Yue, G.Y., 2006, Infiltration and redistribution process of rainfall in desert mobile sand dune. Journal of Hydraulic Engineering, 37(2), 166-171 (in Chinese).
Pan, H.L., Mahrt, L., 1987. Interaction between soil hydrology and boundary-layer development. Boundary-Layer Meteorology, 38(1-2), 185-202, 1987. https://doi.org/10.1007/BF00121563.
Pitman, A.J., Slater, A.G., Desborough, C.E., Zhao, M., 1999. Uncertainty in the simulation of runoff due to the parameterization of frozen soil moisture using the Global Soil Wetness Project methodology. Journal of Geophysical Research: Atmospheres, 104(D14), 16879-16888. https://doi.org/10.1007/BF00121563.
Pye, K., Tsoar, H., 1987. The mechanics and geological implications of dust transport and deposition in deserts with particular reference to loess formation and dune sand diagenesis in the northern Negev, Israel. Geological Society, London, Special Publications, 35(1), 139-156. https://doi.org/10.1144/GSL.SP.1987.035.01.10.
Qiu, Y., Fu, B., Wang, J., Chen, L., 2001. Soil moisture variation in relation to topography and land use in a hillslope catchment of the Loess Plateau, China. Journal of Hydrology, 240(3), 243-263. https://doi.org/10.1144/GSL.SP.1987.035.01.10.
Rodríguez-Iturbe, I., Porporato, A., 2005. Ecohydrology of Water-controlled Ecosystems: Soil Moisture and Plant Dynamics, Cambridge University Press, England.
Wang, X.P., Li, X.R., Xiao, H.L., Pan, Y.X., 2006. Evolutionary characteristics of the artificially revegetated shrub ecosystem in the Tengger Desert, northern China, Ecological Research, 21(3), 415-424. https://doi.org/10.1007/s11284-005-0135-9.
Yang, W.B., Tang, J.N., Liang, H.R., Dang, H.Z., Li, W., 2014. Deep soil water infiltration and its dynamic variation in the shifting sandy land of typical deserts in China. Science China. Earth Sciences, 57(4), 1816-1824. https://doi.org/10.1007/s11430-014-4882-8.
Zhang, D.F., Wang, S.J., 2001. Mechanism of freeze-thaw action in the process of soil salinization in northeast China. Environmental Geology, 41(1-2), 96-100. https://doi.org/10.1007/s002540100348.
Zhang, G., Ge, J.Q., Wang, S., Zhang, A., Wang, W., Wang, M., Xu, K., 2012. Design and research on cable dome structural system of the National Fitness Center in Ejin Horo Banner, Inner Mongolia. Journal of Building Structures, 33(4), 12-22. https://doi.org/10.1007/s002540100348.
Zhang, Z.S., Liu, L.C., Li, X.R., Zhang, J.G., He, M.Z., Tan, H.J., 2008. Evaporation properties of a revegetated area of the Tengger Desert, North China. Journal of arid Environments, 72(6), 964-973. https://doi.org/10.1016/j.jaridenv.2007.11.010.
|1． Shan-hu JIANG, Li-liang REN, Bin YONG, Xiao-li YANG, Lin SHI.Evaluation of high-resolution satellite precipitation products with surface rainfall over Laohahe Basin in northern China[J]. Water Science and Engineering, 2010,3(4): 405-417|
|2．Lan-lan YU, Zi-qiang XIA, Jing-ku LI, Tao CAI.Climate change characteristics of Amur River[J]. Water Science and Engineering, 2013,6(2): 131-144|
|3． Qing-hua LUAN, Hao WANG, Da-zhong XIA.
Complexity analysis of precipitation in changing environment in Chien River Basin, China[J]. Water Science and Engineering, 2011,4(2): 133-142
|4．Qing-hua LUAN, Hao WANG, Da-zhong XIA.Complexity analysis of precipitation in changing environment in Chien River Basin, China[J]. Water Science and Engineering, 2011,4(2): 133-142|
|5．Shalamu Abudu, Zhu-ping Sheng, Chun-liang Cui, Muatter Saydi, Hamed-Zamani Sabzi.Integration of aspect and slope in snowmelt runoff modeling in a mountain watershed[J]. Water Science and Engineering, 2016,9(4): 265-273|
|6．Shalamu ABUDU, Chun-liang CUI, Muattar SAYDI, James Phillip KING.Application of snowmelt runoff model (SRM) in mountainous watersheds: A review[J]. Water Science and Engineering, 2012,5(2): 123-136|
|7．Chun-xia ZOU, Xiang-dong SHEN, Hong-yun LI, Xia-zi LI, Zhang-jun LI.Wavelet analysis of spring climate characteristics in arid aeolian area of agro-pastoral ecotone in China[J]. Water Science and Engineering, 2012,5(3): 269-277|
|8．Zhen-chun HAO, Kai TONG, Xiao-li LIU, Lei-lei ZHANG.Capability of TMPA products to simulate streamflow in upper Yellow and Yangtze River basins on Tibetan Plateau[J]. Water Science and Engineering, 2014,7(3): 237-249|
|9． Kai-yan Wang, Qiong-fang Li, Yong Yang, Ming Zeng, Peng-cheng Li, Jie-xiang Zhang .Analysis of spatio-temporal evolution of droughts in Luanhe River Basin using different drought indices[J]. Water Science and Engineering, 2015,8(4): 282-290|
|10． Shan-hu Jiang, Meng Zhou, Li-liang Ren, Xue-rong Cheng, Peng-ju Zhang.Evaluation of latest TMPA and CMORPH satellite precipitation products for Yellow River Basin[J]. Water Science and Engineering, 2016,9(2): 87-96|
|11．Shao-feng Yan, Shuang-en Yu, Yu-bai Wu, De-feng Pan, Jia-gen Dong.Understanding groundwater table using a statistical model[J]. Water Science and Engineering, 2018,11(1): 1-7|
|Copyright by Water Science and Engineering|