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Effects of spatial information of soil physical properties on hydrological modeling based on a distributed hydrological model

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Abstract

The spatial distribution of soil physical properties is essential for modeling and understanding hydrological processes. In this study, the different spatial information (the conventional soil types map-based spatial information (STMB) versus refined spatial information map (RSIM)) of soil physical properties, including field capacity, soil porosity and saturated hydraulic conductivity are used respectively as input data for Water Flow Model for Lake Catchment (WATLAC) to determine their effectiveness in simulating hydrological processes and to expound the effects on model performance in terms of estimating groundwater recharge, soil evaporation, runoff generation as well as partitioning of surface and subsurface water flow. The results show that: 1) the simulated stream flow hydrographs based on the STMB and RSIM soil data reproduce the observed hydrographs well. There is no significant increase in model accuracy as more precise soil physical properties information being used, but WATLAC model using the RSIM soil data could predict more runoff volume and reduce the relative runoff depth errors; 2) the groundwater recharges have a consistent trend for both cases, while the STMB soil data tend to produce higher groundwater recharges than the RSIM soil data. In addition, the spatial distribution of annual groundwater recharge is significantly affected by the spatial distribution of soil physical properties; 3) the soil evaporation simulated using the STMB and RSIM soil data are similar to each other, and the spatial distribution patterns are also insensitive to the spatial information of soil physical properties; and 4) although the different spatial information of soil physical properties does not cause apparent difference in overall stream flow, the partitioning of surface and subsurface water flow is distinct. The implications of this study are that the refined spatial information of soil physical properties does not necessarily contribute to a more accurate prediction of stream flow, and the selection of appropriate soil physical property data needs to consider the scale of watersheds and the level of accuracy required.

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References

  • Abbott M B, Refsgaard J C, 1996. Distributed Hydrological Modelling. Netherlands, Dordrecht: Kluwer Academic Publishers, 255–278.

    Book  Google Scholar 

  • Ao Tianqi, 2001. Development of a Distributed Hydrological Model for Large River Catchments and Its Application to Southeast Asian Rivers. Japan: Department of Civil and Environmental Engineering, University of Yamanashi.

    Google Scholar 

  • Arnold J G, Srinivasan R, Muttiah R S et al., 1998. Large area hydrologic modeling and assessment. Part I: Model development. Journal of the American Water Resources Association, 34(1): 73–89. doi: 10.1111/j.1752-1688.1998.tb05961.x

    Article  Google Scholar 

  • Bronstert A, Bárdossy A, 1999. The role of spatial variability of soil moisture for modeling surface runoff generation at the small catchment scale. Hydrology and Earth System Sciences, 3(4): 505–516. doi: 10.5194/hess-3-505-1999

    Article  Google Scholar 

  • Calver A, 1988. Calibration, sensitivity and validation of a physically based rainfall-runoff model. Journal of Hydrology, 103(1–2): 103–115. doi: 10.1016/0022-1694(88)90008-X

    Article  Google Scholar 

  • Castillo V M, Gomez-Plaza A, Martinez-Mena M, 2003. The role of antecedent soil water content in the runoff response of semiarid catchments: A simulation approach. Journal of Hydrology, 284(1–4): 114–130. doi: 10.1016/S0022-1694(03) 00264-6

    Article  Google Scholar 

  • Chaplot V, 2005. Impact of DEM mesh size and soil map precision for the prediction of water, sediment and NO3 loads in a watershed. Journal of Hydrology, 312(1–4): 207–222. doi: 10.1016/j.jhydrol.2005.02.017

    Article  Google Scholar 

  • Cho H, Olivera F, 2009. Effect of the spatial variability of land use, soil type, and precipitation on streamflows in small watersheds. Journal of the American Water Resources Association, 45(3): 673–686. doi: 10.1111/j.1752-1688.2009.00315.x

    Article  Google Scholar 

  • Doherty J, 2004. PEST: Model-independent Parameter Estimation User Manual. Australia, Brisbane: Watermark Numerical Computing.

    Google Scholar 

  • Famiglietti J S, Ryu D, Berg A A et al., 2008. Field observations of soil moisture variability across scales. Water Resources Research, 44(1): W01423. doi: 10.1029/2006WR005804

    Article  Google Scholar 

  • Grayson R B, Bloschl G, Moore I D, 1995. Distributed parameter hydrologic modeling using vector elevation data: THALES and TAPES-C. In: Singh V P et al. (eds.). Computer Models of Watershed Hydrology. Baton Rouge: Water Resource Publications, 669–696.

    Google Scholar 

  • Grayson R, Blöschl G, 2001. Spatial Patterns in Catchment Hydrology: Observations and Modelling. Cambridge: Cambridge University Press, 17–50.

    Google Scholar 

  • Harbaugh A W, 2005. MODFLOW-2005: The U.S. Geological Survey Modular Groundwater Model. Reston: United States Geological Survey Techniques.

    Google Scholar 

  • Levick L R, Semmens D J, Guertin D P et al., 2004. Adding global soils data to the automated geospatial watershed assessment tool (AGWA). Proceeding of Second International Symposium on Transboundary Waters Management. Tucson, Arizona, 1–9.

    Google Scholar 

  • Li Runkui, Zhu Axing, Peter C Augello et al., 2007. Sensitivity of SWAT model to detailed soil information. Geo-Information Science, 9(3): 72–78. (in Chinese)

    Google Scholar 

  • Li X H, Zhang Q, Shao M et al., 2012a. A comparison of parameter estimation for distributed hydrological modelling using automatic and manual methods. Advanced Materials Research, 356-360: 2372–2375. doi: 10.4028/www.scientific. net/AMR.356-360.2372

    Article  Google Scholar 

  • Li X H, Zhang Q, Xu C Y, 2012b. Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang Lake Basin. Journal of Hydrology, 426-427: 28–38. doi: 10.1016/j.jhydrol.2012.01.013

    Article  Google Scholar 

  • Loague K, Kyriakidis P C, 1997. Spatial and temporal variability in the R-5 infiltration data set: Déjà vu and rainfall-runoff simulations. Water Resources Research, 33(12): 2883–2895. doi: 10.1029/97WR01093

    Article  Google Scholar 

  • Maeda K, Tanaka T, Park H et al., 2006. Spatial distribution of soil structure in a suburban forest catchment and its effect on spatio-temporal soil moisture and runoff fluctuations. Journal of Hydrology, 321(1–4): 232–256. doi: 10.1016/j.jhydrol.2005.08.003

    Article  Google Scholar 

  • Merz B, Bardossy A, 1998. Effects of spatial variability on the rainfall runoff process in a small loess catchment. Journal of Hydrology, 212–213(1–4): 304–317. doi: 10.1016/S0022-1694(98)00213-3

    Article  Google Scholar 

  • Merz B, Plate E J, 1997. An analysis of the effects of spatial variability of soil and soil moisture on runoff. Water Resources Research, 33(12): 2909–2922. doi: 10.1029/97WR02204

    Article  Google Scholar 

  • Minet J, Laloy E, Lambot S et al., 2011. Effect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic model. Hydrology and Earth System Sciences, 15(4): 1323–1338. doi: 10.5194/hess-15-1323-2011

    Article  Google Scholar 

  • Mukundan R, Radcliffe D E, Risse L M, 2010. Spatial resolution of soil data and channel erosion effects on SWAT model predictions of flow and sediment. Journal of Soil and Water Conservation, 65(2): 92–104. doi: 10.2489/jswc.65.2.92

    Article  Google Scholar 

  • Muttiah R S, Wurbs R A, 2002. Scale-dependent soil and climate variability effects on watershed water balance of the SWAT model. Journal of Hydrology, 256(3–4): 264–285. doi: 10.1016/S0022-1694(01)00554-6

    Article  Google Scholar 

  • Neitsch S L, Arnold J G, Kiniry J R et al., 2002. Soil and water assessment tool theoretical documentation. Texas: Texas Water Resources Institute.

    Google Scholar 

  • Noto L V, Ivanov V Y, Bras R L et al., 2008. Effects of initialization on response of a fully-distributed hydrologic model. Journal of Hydrology, 352(1–2): 107–125. doi: 10.1016/j.jhydrol.2007.12.031

    Article  Google Scholar 

  • Peschel J M, Haan P K, Lacey R E, 2006. Influences of soil dataset resolution on hydrologic modeling. Journal of the American Water Resources Association, 42(5): 1371–1389. doi: 10.1111/j.1752-1688.2006.tb05307.x

    Article  Google Scholar 

  • Price K, Jackson C R, Parker A J, 2010. Variation of surficial soil hydraulic properties across land uses in the southern Blue Ridge Mountains, North Carolina, USA. Journal of Hydrology, 383(3–4): 256–268. doi: 10.1016/j.jhydrol.2009.12.041

    Article  Google Scholar 

  • Quinn T, Zhu A X, Burt J E, 2005. Effects of detailed soil spatial information on watershed modeling across different model scales. International Journal of Applied Earth Observation and Geoinformation, 7(4): 324–338. doi: 10.1016/j.jag.2005.06.009

    Article  Google Scholar 

  • Sciuto G, Diekkrüger B, 2010. Influence of soil heterogeneity and spatial discretization on catchment water balance modeling. Vadose Zone Journal, 9(4): 955–969. doi: 10.2136/vzj2009. 0166

    Article  Google Scholar 

  • Takeuchi K, Ao T Q, Ishidaira H, 1999. Introduction of block-wise use of TOPMODEL and Muskingum-Cunge method for the hydroenvironmental simulation of a large ungauged basin. Hydrological Sciences Journal, 44(4): 633–646. doi: 10.1080/ 02626669909492258

    Article  Google Scholar 

  • Tetzlaff D, Soulsby C, Waldron S et al., 2007. Conceptualization of runoff processes using a geographical information system and tracers in a nested mesoscale catchment. Hydrological Processes, 21(10): 1289–1307. doi: 10.1002/hyp.6309

    Article  Google Scholar 

  • USACE (US Army Corps of Engineers), 2000. Hydrologic Modeling System HEC-HMS, Technical Reference Manual. Davis: Hydrologic Engineering Center.

    Google Scholar 

  • Wen Xiaoping, Wan Yuan, Ao Tianqi, 2010. Effects of spatial resolution of soil on runoff simulation based on BTOPMC model. Yellow River, 32(11): 45–48. (in Chinese)

    Google Scholar 

  • Woolhiser D A, Smith R E, Giraldez J V, 1996. Effects of spatial variability of saturated hydraulic conductivity on Hortonian overland flow. Water Resources Research, 32(3): 671–678. doi: 10.1029/95WR03108

    Article  Google Scholar 

  • Xu C Y, Gong L, Jiang T et al., 2006. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment. Journal of Hydrology, 327(1-2): 81–93. doi: 10.1016/j.jhydrol.2005.11.029

    Article  Google Scholar 

  • Ye X C, Zhang Q, Bai L et al., 2011a. A modeling study of catchment discharge to Poyang Lake under future climate in China. Quaternary International, 244(2): 221–229. doi: 10.1016/j.quaint.2010.07.004

    Article  Google Scholar 

  • Ye Xuchun, Zhang Qi, Liu Jian et al., 2009. Effects of spatial resolution of soil data on hydrological processes modeling. Progress in Geography, 28(4): 575–583. (in Chinese)

    Google Scholar 

  • Ye X C, Zhang Q, Viney N R, 2011b. The effect of soil data resolution on hydrological processes modelling in a large humid watershed. Hydrological Processes, 25(1): 130–140. doi: 10.1002/hyp.7823

    Article  Google Scholar 

  • Zhang Q, 2011. Sensitivity assessment for soil hydraulic conductivity in a coupled surface-subsurface water flow model. Proceeding of International Conference on Water Resources Management and Engineering, 75–78.

    Google Scholar 

  • Zhang Q, Li L J, 2009. Development and application of an integrated surface runoff and groundwater flow model for a catchment of Taihu Lake watershed, China. Quaternary International, 208(1–2): 102–108. doi: 10.1016/j.quaint.2008.10.015

    Article  Google Scholar 

  • Zhang Q, Werner A D, 2009. Integrated surface-subsurface modeling of Fuxianhu Lake catchment, Southwest China. Water Resources Management, 23(11): 2189–2204. doi: 10.1007/ s11269-008-9377-y

    Article  Google Scholar 

  • Zhang Qi, 2007. Coupled simulation of surface and subsurface runoffs for lake catchments. Progress in Geography, 26(5): 1–10. (in Chinese)

    Google Scholar 

  • Zhu A X, Mackay D S, 2001. Effects of spatial detail of soil information on watershed modeling. Journal of Hydrology, 248(1–4): 54–77. doi: 10.1016/S0022-1694(01)00390-0

    Article  Google Scholar 

  • Zimmermann B, Elsenbeer H, De Moraes J M, 2006. The influence of land-use change on soil hydraulic properties: Implications for runoff generation. Forest Ecology and Management, 222(1–3): 29–38. doi: 10.1016/j.foreco.2005.10.070

    Article  Google Scholar 

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Authors and Affiliations

  1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

    Xianghu Li

  2. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    Xianghu Li & Qi Zhang

  3. School of Geographical Sciences, Southwest University, Chongqing, 400715, China

    Xuchun Ye

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  1. Xianghu Li
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  2. Qi Zhang
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  3. Xuchun Ye
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Correspondence to Xianghu Li.

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Foundation item: Under the auspices of Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (No. IWHR-SKL-201111), National Natural Science Foundation of China (No. 41101024)

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Li, X., Zhang, Q. & Ye, X. Effects of spatial information of soil physical properties on hydrological modeling based on a distributed hydrological model. Chin. Geogr. Sci. 23, 182–193 (2013). https://doi.org/10.1007/s11769-013-0599-4

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  • DOI: https://doi.org/10.1007/s11769-013-0599-4

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