ZHONG Keyuan, CHEN Ying, CHEN Xingwei, et al. Simulation of Daily Runoff and Sediment Load in Taoxi Watershed Based on AnnAGNPS Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 130-134.
DOI:
ZHONG Keyuan, CHEN Ying, CHEN Xingwei, et al. Simulation of Daily Runoff and Sediment Load in Taoxi Watershed Based on AnnAGNPS Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 130-134. DOI: 10.13961/j.cnki.stbctb.2015.06.022.
Simulation of Daily Runoff and Sediment Load in Taoxi Watershed Based on AnnAGNPS Model
[Objective] Daily runoff and sediment process in Taoxi watershed in the Southeast of China were simulated to provide a support for soil and water conservation plan.[Methods] The annualized agricultural non-point source pollution model(AnnAGNPS) was adopted to simulate the daily runoff and sediment yield. Differential sensitivity analysis(DSA) methods were carried out to evaluate the sensitivity of input parameters.[Results] (1) Curve number
field capacity and Maning's-reach were the sensitive parameters for runoff simulation. K-factor
surface residue cover
root-mass
remained residue cover after cultivation
random roughness
Maning's-reach and disturbed area were the major sensitive parameters for sediment load estimation.(2) In the calibration and validation processes of both runoff and sediment simulation
R2 and Ens had values above 0.66 for daily runoff and were above 0.62 for daily sediment load modeling.[Conclusion] AnnAGNPS model can simulate well for daily runoff and sediment process in the study area.
关键词
Keywords
references
Sarangi A, Cox C A, Madramootoo C A. Evaluation of the AnnAGNPS model for prediction of runoff and sediment yields in St Lucia watersheds[J]. Biosystems Engineering, 2007,97(2):241-256.
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.
Tsou M S, Zhan X. Estimation of runoff and sediment yield in the Red Rock Creek watershed using AnnAGNPS and GIS[J]. Journal of Environmental Sciences, 2004,16(5):865-867.
Licciardello F, Zema D A, Zimbone S M, et al. Runoff and soil erosion evaluation by the AnnAGNPS model in a small Mediterranean watershed[J]. Transactions of the ASABE, 2007,50(5):1585-1593.
Junker L. Evaluation of the AnnAGNPS Model Used for River Discharge and Sediment Yield Predictions in a Micro-scale Catchment in the Highlands of Ethiopia[D]. Switzerland:University of Berne, 2012.
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.
Chahor Y, Casalí J, Giménez R, et al. Evaluation of the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre(Spain)[J]. Agricultural Water Management, 2014,134(4):24-37.
Das S, Rudra R P, Gharabaghi B, et al. Applicability of AnnAGNPS for Ontario conditions[J]. Canadian Biosystems Engineering, 2008,50(1):1-11.
Lenhart T, Eckhardt K, Fohrer N, et al. Comparison of two different approaches of sensitivity analysis[J]. Physics and Chemistry of the Earth, Parts A/B/C,2002,27(9):645-654.
Moriasi D N, Arnold J G, Van Liew M W, et al, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations[J]. Transactions of the Asabe, 2007,50(3):885-900.
Runoff Variations in Jihe River Watershed of Loess Plateau from 1962 to 2008
Modelling Forest Soil Moisture and Temperature in Three Gorges Reservoir Area with CoupModel and Sensitivity Analysis of Parameters
Spatiotemporal evolution and influencing mechanisms of coupling coordination of carbon reduction-pollution reduction-green expansion-economic growth in urban agglomeration in middle reaches of Yangtze River
Spatiotemporal evolution and multi-scenario simulation of carbon storage in Pingxiang City, Jiangxi Province based on PLUS-InVEST model
Influence of soluble salt content on strength of Ili loess under wet-dry cycle conditions
Related Author
LI Qing-yun
YU Xin-xiao
ZHANG Lu
XIN Zhong-bao
JIA Guo-dong
WANG You-sheng
ZHENG Jiang-kun
WANG Xian
Related Institution
School of Soil and Water Conservation, Beijing Forestry University, and Key Laboratory of Soil and Water Conservation &Desertification Combating of the Ministry of Education
North China University of Water Resources and Electric Power, Resources and Environment Institute
College of Soil and Water Conservation, Beijing Forestry University Beijing China
Chongqing Forestry Bureau Chongqing 41011417 China
Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences & Ministry of Education Yangling Shaanxi China