期刊文献+

基于SWAT东北黑土区乌裕尔河流域径流模型模拟 被引量:7

SWAT Model-Based Runoff Simulation of Wuyuer River Basin in the Black Soil Region of Northeast China
下载PDF
导出
摘要 黑土区是我国的粮食主产区之一,在该区研究径流特征,对东北水资源调控、侵蚀产沙治理和粮食安全,都有非常重要的意义。以乌裕尔河流域为研究对象,利用SWAT模型对乌裕尔河流域水文过程进行模拟,通过SWATCUP程序的SUFI-2算法进行模型参数敏感性和不确定性分析,结合手动参数调整,得到了较为理想的模拟结果。结果表明:年径流及月径流在校准期和验证期的相关系数R2均达到0.8,Nash Suttcliff效率系数大于0.75,相对误差小于15%。SWAT模型可较准确地模拟流域径流过程,该模型在东北地区的水文模拟具有一定的适用性。研究发现,模型对某些降雨突增月份径流模拟较差,并且对春汛和夏汛双峰型径流模拟效果也不尽人意,春季径流量模拟普遍偏低,夏季径流量普遍偏高。因此,尽管东北地区产流结构较为复杂,一些地方如模型土壤属性数据库建设、融雪过程还需要深入研究。就目前研究来看,SWAT模型对于该地区的径流模拟总体效果可以接受,这可为该地及类似地区径流乃至侵蚀产沙模拟,为水资源的开发利用与流域的综合管理提供科学依据。 The black soil region is the major grain production areas.Runoff modeling for this region is meaningful to support the studies of water resources and sediment yield.In this study,the hydrological processes at monthly and annual scales were simulated using the SWAT(Soil and Water Assessment Tools)model in the Wuyuer River Basin,northeast China,and some results were obtained.The monthly recorded and simulated discharges match well for calibration period and the validation period.Nash-Sutcliffe coefficients as well as correlation coefficients between recorded and simulated discharge for both calibration period and the validation period are all above 0.75 while relative errors are less than 15%.But model simulating runoff under some increasing rainfall processes is poorer,and the spring and summer flood peak runoff simulation results are also unsatisfactory.The runoff of northeast China is relatively complex,which requires to further improve the adaptability of the SWAT model,so as to provide a scientific basis for the development of water resources.
出处 《水土保持研究》 CSCD 北大核心 2016年第4期43-47,54,共6页 Research of Soil and Water Conservation
基金 国家自然科学基金(41271305 41571271)
关键词 SWAT模型 东北黑土区 乌裕尔河流域 径流模拟 SWAT model northeast China Wuyuer river basin runoff simulation
  • 相关文献

参考文献24

  • 1姚苏红,朱仲元,张圣微,张苏鲁,李杨.基于SWAT模型的内蒙古闪电河流域径流模拟研究[J].干旱区资源与环境,2013,27(1):175-180. 被引量:29
  • 2李凤欢,罗潋葱,翟海涛,孙莹蓓,李慧赟.SWAT对大沙河水库流域径流模拟研究[J].水土保持研究,2014,21(2):87-93. 被引量:5
  • 3Asres M T, Awulachew S B. SWAT based runoff and sediment yield modelling: A ease study of the Gumera watershed in the Blue Nile basin[J]. Eeohydrology Hydrobiology, 2010,10 (2) : 191-199.
  • 4Ghoraba S M. Hydrological modeling of the simly dam watershed (Pakistan) using GIS and SWAT model[J]. Alexandria Engineering Journal, 2015,54(3) :583-594.
  • 5Wellen C, Arhonditsis G B, Long T, et al. Quantifying the uncertainty of nonpoint source attribution in distrib- uted water quality models: A Bayesian assessment of SWAT's sediment export predictions[J]. Journal of Hy- drology, 2014,519 : 3353-3368.
  • 6Niazi M, Obropta C, Miskewitz R. Pathogen transport and fate modeling in the Upper Salem River Watershed using SWAT model[J]. Journal of environmental man- agement, 2015,151:167-177.
  • 7Napoli M, Orlandini S. Evaluating the Arc-SWAT2009 in predicting runoff, sediment, and nutrient yields from a vineyard and an olive orchard in Central Italy[J]. Ag- ricultural Water Management, 2015,153 : 51-62.
  • 8Bannwarth M A, Sangchan W, Hugenschmidt C, et al. Pesticide transport simulation in a tropical catchment by SWAT[J]. Environmental Pollution, 2014,191 : 70-79.
  • 9Wellen C, Arhonditsis G B, Long T, et al. Quantifying the uncertainty of nonpoint source attribution in distrib- uted water quality models: A Bayesian assessment of SWATs sediment export predictions[J]. Journal of Hy- drology, 2014,519 : 3353-3368.
  • 10夏智宏,周月华,许红梅.基于SWAT模型的汉江流域径流模拟[J].气象,2009,35(9):59-67. 被引量:21

二级参考文献247

共引文献307

同被引文献131

引证文献7

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部