[1]TIAN Yaowu,WANG Ning,LIU Jing.Analysis of Simulation Error of Runoff and Sediment for Taowan Watershed in Funiushan Mountain Area[J].Research of Soil and Water Conservation,2016,23(05):56-62.
Copy
Analysis of Simulation Error of Runoff and Sediment for Taowan Watershed in Funiushan Mountain Area
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
23
Number of periods:
2016 05
Page number:
56-62
Column:
Public date:
2016-10-28
- Title:
- Analysis of Simulation Error of Runoff and Sediment for Taowan Watershed in Funiushan Mountain Area
- Keywords:
- AnnAGNPS model; runoff; sediment; Funiushan Mountain area; simulation
- CLC:
- S157;P333
- DOI:
- -
- Abstract:
- A typical watershed, Taowan, was selected as the study site, and the main goal was to evaluate the performance of AnnAGNPS Model in simulating runoff, sediment loading and nutrient loadings under the conditions of Funiushan Mountain area, and analyze the influencing factors of the simulation error. The data of 22 events of runoff and sediment in the watershed during the period from 2006 to 2007 were used to calibrate the model and the data of 31 events during the period from 2008 to 2009 were used for validation purposes. The whole evaluation consisted of determining the coefficient of determination (R2), Nash-Sutcliffe coefficient of efficiency (E), and the percentage volume error (VE). Most of model input parameters were sourced from Luoyang Forestry Bureau field observations and experiments. Results showed that: (1) runoff was undersimulated by -7.7% with R2 of 0.95 (p < 0.05) during calibration period (2006—2007) and undersimulated by -6.1% with R2 of 0.90 (p < 0.05) during validation period (2008—2009), factors affecting runoff simulation errors were accuracy of values for the SCS-CN, the results of runoff simulation also affected the other objects, which may be the reason of relatively low error of runoffs, the model simulated runoff within the range of acceptable accuracy (< ±15%); (2) the model oversimulated the event-based sediments by 15.1% with R2 of 0.55 (p < 0.05) during calibration period (2006—2007) and 17.0% oversimulated with R2 of 0.60 (p < 0.05) during validation (2008—2009), factors affecting sediment simulation error are more complex. Vegetation coverage and Manning roughness coefficient were most sensitive to the sediment simulation errors. And it was also affected by the scales of spatial parameter accuracy such as watershed DEM, soil and land uses. The trend of sediment simulation errors was similar to runoff. For the events of small magnitude, the model generally oversimulated them, while the opposite was true for larger events. Nitrogen was oversimulated by 22.0% with R2=0.69 (p < 0.05), and phosphorus was oversimulated by 24.0% with R2=0.48 (p < 0.05). In general, the model performs well in simulating runoff compared to sediment and nutrients. As a watershed management tool, it can be used under the conditions of Funiushan Mountain area after proper calibration.
- References:
-
[1] Silburn D M, Loch R J. Evaluation of the CREAMS model:I. Sensitivity analysis of the soil erosion sedimentation component for aggregated clay soils[J]. Soil Research,1989,27(3):545-561.
[2] Young R A, Onstad C A, Bosch D D, et al. AGNPS:A nonpoint-source pollution model for evaluating agricultural watersheds[J]. Journal of Soil and Water Conservation,1989,44(2):168-173.
[3] Arnold J G, Srinivasan R, Muttiah R S, et al. Large area hydrologic modeling and assessment part I:Model development1[J]. Jawra Journal of the American Water Resources Association, 1998, 34(1):73-89.
[4] Yuan Y, Locke M A, Bingner R L. Annualized agricultural non-point source model application for Mississippi Delta Beasley Lake watershed conservation practices assessment[J]. Journal of Soil and Water Conservation,2008,63(6):542-551.
[5] Baginska B, Milne-Home W, Cornish P S. Modelling nutrient transport in Currency Creek, NSW with AnnAGNPS and PEST[J]. Environmental Modelling & Software,2003,18(8):801-808.
[6] Tsou M S. Estimation of runoff and sediment yield in the Redrock Creek watershed using AnnAGNPS and GIS[J]. Journal of Environmental Sciences,2004,16(5):865-867.
[7] 王晓利,姜德娟,张华.基于AnnAGNPS模型的胶东半岛大沽河流域非点源污染模拟研究[J].农业环境科学学报,2014,33(7):1379-1387.
[8] 李开明,任秀文,黄国如,等.基于AnnAGNPS模型泗合水流域非点源污染模拟研究[J].中国环境科学,2013,33(S):54-59.
[9] 黄志霖,田耀武,肖文发,等.非点源污染模型AnnAGNPS在三峡库区林农复合小流域模拟效果评定[J].环境科学,2009,30(10):2872-2878.
[10] Xiao B, Wang Q H, FAN J, et al. Application of the SCS-CN model to runoff estimation in a small watershed with high spatial heterogeneity[J]. Pedosphere,2011,21(6):738-749.
[11] Sharpley A N, Williams J R. EPIC-erosion/productivity impact calculator:1. Model documentation.[J]. Technical Bulletin-United States Department of Agriculture,1990,4(4):206-207.
[12] 汤国安,赵牡丹,李天文,等.DEM提取黄土高原地面坡度的不确定性[J].地理学报,2003,58(6):824-830
[13] Nash J E, Sutcliffe J V. River flow forecasting through conceptual models part I:A discussion of principles[J]. Journal of Hydrology,1970,10(3):282-290.
[14] Cheng H, Ouyang W, Hao F, et al. The non-point source pollution in livestock-breeding areas of the Heihe River basin in Yellow River[J]. Stochastic Environmental Research and Risk Assessment,2007,21(3):213-221.
[15] Chiew F H S, Stewardson M J, McMahon T A. Comparison of six rainfall-runoff modelling approaches[J]. Journal of Hydrology,1993,147(1):1-36.
[16] Krause P, Boyle D P, B?se F. Comparison of different efficiency criteria for hydrological model assessment[J]. Advances in Geosciences,2005,5(5):89-97.
[17] Shamshad A, Leow C S, Ramlah A, et al. Applications of AnnAGNPS model for soil loss estimation and nutrient loading for Malaysian conditions[J]. International Journal of Applied Earth Observation and Geoinformation,2008,10(3):239-252.
[18] Haregeweyn N, Yohannes F. Testing and evaluation of the agricultural non-point source pollution model (AGNPS) on Augucho catchment, western Hararghe, Ethiopia[J]. Agriculture Ecosystems & Environment,2003,99(S1/3):201-212.
[19] Rode M, Frede H G. Testing AGNPS for soil erosion and water quality modelling in agricultural catchments in Hesse (Germany)[J]. Physics and Chemistry of the Earth:Part B, 1999, 24(4):297-301.
[20] Lenzi M A, Di Luzio M. Surface runoff, soil erosion and water quality modelling in the Alpone watershed using AGNPS integrated with a Geographic Information System[J]. European Journal of Agronomy,1997,6(1):1-14.
[21] Polyakov V, Fares A, Kubo D, et al. Evaluation of a non-point source pollution model, AnnAGNPS, in a tropical watershed[J]. Environmental Modelling & Software,2007,22(11):1617-1627.
[22] Shrestha S, Babel M S, Gupta A D, et al. Evaluation of annualized agricultural nonpoint source model for a watershed in the Siwalik Hills of Nepal[J]. Environmental Modelling & Software,2006,21(7):961-975.
[23] Haregeweyn N, Yohannes F. Testing and evaluation of the agricultural non-point source pollution model (AGNPS) on Augucho catchment, western Hararghe, Ethiopia[J]. Agriculture Ecosystems & Environment,2003,99(1):201-212.
[24] Grunwald S, Norton L D. Calibration and validation of a non-point source pollution model[J]. Agricultural Water Management,2000,45(1):17-39.
[25] Kalin L, Govindaraju R S, Hantush M M. Effect of geomorphologic resolution on modeling of runoff hydrograph and sedimentograph over small watersheds[J]. Journal of Hydrology,2003,276(1):89-111.
[26] 郝芳华,杨胜天,程红光,等.大尺度区域非点源污染负荷估算方法研究的意义、难点和关键技术[J].环境科学学报,2006,26(3):362-365.
[27] 田耀武,黄志霖,曾立雄.DEM格网尺度对AnnAGNPS预测山地小流域径流和物质输出的影响[J].环境科学学报,2009,29(4):846-853.
[28] 黄志霖,田耀武,肖文发,等.三峡库区黑沟流域AnnAGNPS参数空间聚合效应[J].生态学报,2009,29(12):6681-6690.
[29] Rode M, Frede H G. Testing AGNPS for soil erosion and water quality mode11ing in agricultural catchments in Hesse (Germany)[J]. Physics and Chemistry of the Earth:Part B,1999,24(4):297-301.
[30] Haregeweyn N, Yohannes F. Testing and evaluation of the agricultural non-point source pollution model (AGNPS) on Augucho catchment, western Hararghe, Ethiopia[J]. Agriculture Ecosystems & Environment,2003,99(1):201-212.
- Similar References:
Memo
-
Last Update:
1900-01-01