PDF Download

[1]ZHU Honglei,SHI Xiaoliang,LI Yingchen,et al.Evaluation of Runoff Simulation Using TRMM Precipitation Data Based on SWAT Model[J].Research of Soil and Water Conservation,2017,24(05):105-112.

Copy

Evaluation of Runoff Simulation Using TRMM Precipitation Data Based on SWAT Model

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 05 Page number: 105-112 Column: Public date: 2017-10-28

Title:: Evaluation of Runoff Simulation Using TRMM Precipitation Data Based on SWAT Model

Author(s):: ZHU Honglei¹, SHI Xiaoliang², LI Yingchen' target="_blank" rel="external"> LI Yingchen¹, LI Ying³; 1. He’nan Normal University, Xinxiang, He’nan 453002, China;
2. Xi’an University of Science and Technology, Xi’an, 710054, China;
3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

Keywords:: TRMM; runoff simulation; SWAT; suitability evaluation; uncertainty analysis

CLC:: P333

DOI:: -

Abstract:: Four runoff simulation scenarios were constructed in Huifa river basin using the distributed hydrological model SWAT at monthly and daily scales with observed precipitation data and TRMM precipitation products as the input of model. Then, parameter sensitivity, parameter uncertainty and runoff simulation were analyzed under different precipitation inputs and time scale using SUFI_2 algorithm. The results showed that: (1) the error of TRMM precipitation products could change the parameters of sensitivity ranking, especially on the daily scale; (2) P-factor of four simulated scenarios was in the range of 0.58～0.9 and R-factor in the range of 0.47～1.58, which indicated that the model had the better fitting precision; TRMM data could make the runoff simulation uncertainty significantly improved due to its small estimate error at month scale and higher spatial resolution; with the change of time scale, increasing TRMM data error at daily scale could lead to the enlarged uncertainty of daily runoff simulation; (3) on the monthly and daily scales, both NS and R² of runoff simulation using the TRMM data reached to a good level, and the result simulated by using measured rainfall was slightly better than that of the TRMM data. The results suggested that the TRMM precipitation products were a reliable source of precipitation data for runoff simulation in Huifa River Basin.

References:: [1] 郝芳华,陈利群,刘昌明,等.降雨的空间不均性对模拟产流量和产沙量不确定的影响[J].地理科学进展,2011,22(5):446-453.
[2] Anctil F, Lauzon N, Andr Assian V, et al. Improvement of rainfall-runoff forecasts through mean areal rainfall optimization [J]. Journal of Hydrology, 2006,328(3):717-725.
[3] Sun H, Cornish P, Daniell T M. Spatial variability in hydrologic modeling using rainfall-runoff model and digital elevation model [J]. Journal of Hydrologic Engineering, 2002,7(6):404-412.
[4] Xu H, Xu C Y, Chen H, et al. Assessing the influence of rain gauge density and distribution on hydrological model performance in a humid region of China [J]. Journal of Hydrology, 2013,505:1-12.
[5] 成璐.融合降水及多种卫星降水产品评估研究[D].南京:南京信息工程大学,2013.
[6] Tobin K J, Bennett M E. Temporal analysis of Soil and Water Assessment Tool(SWAT)performance based on remotely sensed precipitation products [J]. Hydrological Processes, 2013,27(4):505-514.
[7] Yu M, Chen X, Li L, et al. Streamflow Simulation by SWAT Using Different Precipitation Sources in Large Arid Basins with Scarce Raingauges[J]. Water Resources Management, 2011,25(11):2669-2681.
[8] Price K, Purucker S T, Kraemer S R, et al. Comparison of radar and gauge precipitation data in watershed models across varying spatial and temporal scales [J]. Hydrological Processes, 2014,28(9):3505-3520.
[9] Bitew M M, Gebremichael M, Ghebremichael L T, et al. Evaluation of High-Resolution Satellite Rainfall Products through Streamflow Simulation in a Hydrological Modeling of a Small Mountainous Watershed in Ethiopia[J]. Journal of Hydrometeorology, 2012,13(1):338-350.
[10] 张小丽,彭勇,王本德,等.基于SWAT模型的降雨数据适用性评价[J].农业工程学报,2014,30(19):88-96.
[11] Kiniry J R, Williams J R, King K W. Soil and Water Assessment Tool Theoretical Documentation(Version 2005)[J]. Computer Speech & Language, 2005,24(2):289-306.
[12] 童成立,张文菊,汤阳,等.逐日太阳辐射的模拟计算[J].中国农业气象,2005,26(3):165-169.
[13] 史晓亮,李颖,赵凯,等.诺敏河流域土地利用与覆被变化及其对水文过程的影响[J].水土保持通报,2013,33(1):23-28.
[14] 常远勇,侯西勇,于良巨,等.基于TRMM3 B42数据的1998—2010年中国暴雨时空特征分析[J].水资源与水工程学报,2013(3):105-112,115.
[15] 韦芬芬,汤剑平,惠品宏.基于雨量计的高分辨率格点降水数据与TRMM卫星反演降水数据在亚洲区域的比较[J].南京大学学报:自然科学版,2013(3):320-330.
[16] Liu X, Liu F M, Wang X X, et al. Combining rainfall data from rain gauges and TRMM in hydrological modelling of Laotian data-sparse basins[J]. Applied Water Science, 2015:1-10.
[17] 胡庆芳,杨大文,王银堂,等.基于TRMM3B43V7的赣江流域月径流过程模拟[J].水力发电学报,2014,33(5):6-12.
[18] 左德鹏,徐宗学.基于SWAT模型和SUFI-2算法的渭河流域月径流分布式模拟[J].北京师范大学学报:自然科学版,2012,48(5):490-496.
[19] Akhavan S, Abedi-Koupai J, Mousavi S F, et al. Application of SWAT model to investigate nitrate leaching in Hamadan-Bahar Watershed, Iran[J]. Agriculture Ecosystems & Environment, 2010,139(4):675-688.
[20] Azimi M, Heshmati G A, Farahpour M, et al. Modeling the impact of rangeland management on forage production of sagebrush species in arid and semi-arid regions of Iran[J]. Ecological Modelling, 2013,250(1753):1-14.
[21] 李谦,张静,宫辉力.基于SUFI-2算法和SWAT模型的妫水河流域水文模拟及参数不确定性分析[J].水文,2015,35(3):43-48.
[22] 杨军军,高小红,李其江,陈强,冯仕超.湟水流域SWAT模型构建及参数不确定性分析[J].水土保持研究,2013,20(1)1:82-88,93.
[23] Le T B, Al-Juaidi F H, Sharif H. Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow[J]. Water, 2014,6(12):3631-3651.
[24] 汤洁,刘畅,杨巍,李昭阳,吴佳曦.基于SWAT模型的大伙房水库汇水区农业非点源污染空间特性研究[J].地理科学,2012,32(10):1247-1253.
[25] 张余庆,陈昌春,杨绪红,尹义星,都金康.基于SUFI-2算法的SWAT模型在修水流域径流模拟中的应用[J].水电能源科学,2013,31(9):24-28.
[26] Leta O T, Nossent J, Velez C, et al. Assessment of the different sources of uncertainty in a SWAT model ofthe River Senne(Belgium)[J]. Environmental Modelling & Software, 2015,68(C):129-146.
[27] Zhang X, Xu Y P, Fu G. Uncertainties in SWAT extreme flow simulation under climate change[J]. Journal of Hydrology, 2014,515(13):205-222.

Similar References:

Memo

Last Update: 1900-01-01