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Journal of Tsinghua University(Science and Technology)    2019, Vol. 59 Issue (12) : 975-980     DOI: 10.16511/j.cnki.qhdxxb.2019.26.025
HYDRAULIC ENGINEERING |
Closure and validation of a SWAT model for daily scale sediment simulations
LI Erhui, WANG Bingjie, FU Xudong
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
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Abstract  A closed relationship for daily maximum sediment concentration was developed to solve the scale matching problem between the sediment concentration and the flow velocity in the SWAT model. A power function was used to fit the daily flow rate to the sedimentation flux at 9 gauging stations located in the soft sandstone region of the middle Yellow River to provide a closed relationship for the daily sedimentation rate. The closed SWAT model was then used to simulate the sediment transport in the Huangfuchuan watershed of the Yellow River. The model was validated by comparing the observed and simulated sediment loads at the Huangfu and Shagedu stations. The results showed that the Nash-Sutcliffe efficiency coefficient (NSE) was 0.70 and the determination coefficient (R2) was 0.74 during the calibration period and were equal to 0.66 and 0.68 during the validation period for the daily scale sediment load at the Huangfu station. The closed SWAT model predictions at the Shagedu station correlated with the observed sediment load with NSE=0.78 and R2=0.78 for the calibration period and NSE=0.72 and R2=0.74 for the validation period. The unclosed SWAT model had NSE=0.36 and R2=0.39 for the calibration period and NSE=0.26 and R2=0.26 for the validation period at the Shagedu station. The results indicate that the closed SWAT model improves the simulation accuracy for sediment transport within the basin to improve applications of the SWAT model in the soft sandstone region for sediment simulation.
Keywords SWAT model      sediment rating curve      closed relationship      daily scale      Huangfuchuan basin     
Issue Date: 19 December 2019
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LI Erhui
WANG Bingjie
FU Xudong
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LI Erhui,WANG Bingjie,FU Xudong. Closure and validation of a SWAT model for daily scale sediment simulations[J]. Journal of Tsinghua University(Science and Technology), 2019, 59(12): 975-980.
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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2019.26.025     OR     http://jst.tsinghuajournals.com/EN/Y2019/V59/I12/975
  
  
  
  
  
  
[1] 冉大川, 刘斌, 罗全华, 等. 泾河流域水沙变化水文分析[J]. 人民黄河, 2001, 23(2):9-11. RAN D C, LIU B, LUO Q H, et al. Hydrological analysis of water and sediment evolution in Jing River basin[J]. Yellow River, 2001, 23(2):9-11. (in Chinese)
[2] 徐宗学, 程磊. 分布式水文模型研究与应用进展[J]. 水利学报, 2010, 41(9):1009-1017. XU Z X, CHENG L. Progress on studies and applications of the distributed hydrological models[J]. Journal of Hydraulic Engineering, 2010, 41(9):1009-1017. (in Chinese)
[3] PATI A, SEN S, PERUMAL M. Modified channel-routing scheme for SWAT model[J]. Journal of Hydrologic Engineering, 2018, 23(6):04018019.
[4] FURL C, SHARIF H, JEONG J. Analysis and simulation of large erosion events at central Texas unit source watersheds[J]. Journal of Hydrology, 2015, 527:494-504.
[5] ADHIKARI U, NEJADHASHEMI A P. Impacts of climate change on water resources in Malawi[J]. Journal of Hydrologic Engineering, 2016, 21(11):05016026.
[6] MARHAENTO H, BOOIJ M J, RIENTJES T H M, et al. Attribution of changes in the water balance of a tropical catchment to land use change using the SWAT model[J]. Hydrological Processes, 2017, 31(11):2029-2040.
[7] DURU U, ARABI M, WOHL E E. Modeling stream flow and sediment yield using the SWAT model:A case study of Ankara River basin, Turkey[J]. Physical Geography, 2018, 39(3):264-289.
[8] VERMA S, BHATTARAI R, BOSCH N S, et al. Climate change impacts on flow, sediment and nutrient export in a great lakes watershed using SWAT[J]. Clean-Soil Air Water, 2015, 43(11):1464-1474.
[9] YESUF H M, ASSEN M, ALAMIREW T, et al. Modeling of sediment yield in Maybar gauged watershed using SWAT, northeast Ethiopia[J]. Catena, 2015, 127:191-205.
[10] WILLIAMS J R. SPNM, a model for predicting sediment, phosphorus, and nitrogen yields from agricultural basins[J]. Water Resources Bulletin, 1980, 16(5):843-848.
[11] QIU L J, ZHENG F L, YIN R S. SWAT-based runoff and sediment simulation in a small watershed, the loessial hilly-gullied region of China:Capabilities and challenges[J]. International Journal of Sediment Research, 2012, 27(2):226-234.
[12] DUTTA S, SEN D. Application of SWAT model for predicting soil erosion and sediment yield[J]. Sustainable Water Resources Management, 2018, 4(3):447-468.
[13] YU X, XIE X H, MENG S S. Modeling the responses of water and sediment discharge to climate change in the upper Yellow River basin, China[J]. Journal of Hydrologic Engineering, 2017, 22(12):05017026.
[14] LI E H, MU X M, ZHAO G J, et al. Effects of check dams on runoff and sediment load in a semi-arid river basin of the Yellow River[J]. Stochastic Environmental Research and Risk Assessment, 2017, 31(7):1791-1803.
[15] YANG G F, CHEN Z Y, YU F L, et al. Sediment rating parameters and their implications:Yangtze River, China[J]. Geomorphology, 2007, 85(3-4):166-175.
[16] HU B Q, WANG H J, YANG Z S, et al. Temporal and spatial variations of sediment rating curves in the Changjiang (Yangtze River) basin and their implications[J]. Quaternary International, 2011, 230(1-2):34-43.
[17] BUSSI G, DADSON S J, BOWES M J, et al. Seasonal and interannual changes in sediment transport identified through sediment rating curves[J]. Journal of Hydrologic Engineering, 2017, 22(2):06016016.
[18] ZHANG S Y, CHEN D, LI F X, et al. Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China[J]. Hydrological Processes, 2018, 32(11):1616-1624.
[19] 高健健, 穆兴民, 孙文义. 1981-2012年黄土高原植被覆盖度时空变化特征[J]. 中国水土保持, 2016, (7):52-56. GAO J J, MU X M, SUN W Y. Temporal and spatial variation characteristics of vegetation coverage in the loess plateau from 1981 to 2012[J]. Soil and Water Conservation in China, 2016, (7):52-56. (in Chinese)
[20] 江忠善, 王志强, 刘志. 黄土丘陵区小流域土壤侵蚀空间变化定量研究[J]. 土壤侵蚀与水土保持学报, 1996, 2(1):1-9. JIANG Z S, WANG Z Q, LIU Z. Quantitative study on spatial variation of soil erosion in a small watershed in the loess Hilly Region[J]. Journal of Soil and Water Conservation, 1996, 2(1):1-9. (in Chinese)
[21] 李斌兵, 郑粉莉, 龙栋材, 等. 基于GIS纸坊沟小流域土壤侵蚀强度空间分布[J]. 地理科学, 2009, 29(1):105-110. LI B B, ZHENG F L, LONG D C, et al. Spatial distribution of soil erosion intensityin Zhifanggou small watershed based on GIS[J]. Scientia Geographica Sinica, 2009, 29(1):105-110. (in Chinese)
[22] 郑捷, 李光永, 韩振中, 等. 改进的SWAT模型在平原灌区的应用[J]. 水利学报, 2011, 42(1):88-97. ZHENG J, LI G Y, HAN Z Z, et al. Application of modified SWAT model in plain irrigation district[J]. Journal of Hydraulic Engineering, 2011, 42(1):88-97. (in Chinese)
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