农业机械学报2017，Vol.48Issue(3)：261-269,9.DOI:10.6041/j.issn.1000-1298.2017.03.033
潜在蒸散量对SWAT模型寒区典型流域径流模拟的影响
Influence of Potential Evapotranspiration on Runoff Simulation using SWAT Model in Alpine Typical Watershed Region
摘要
Abstract
In order to study the influence of potential evapotranspiration on daily flow simulation results for hydrological models in the northeast alpine region,the widely applied SWAT model was chosen as an example,through comparative study on Ougen River Basin,using Penman-Monteith model,PriestleyTaylor model,Hargreaves model,Shuttleworth-Wallace model and modified 20 cm evaporating dish observed data to compute the potential evapotranspiration (PET),then the influence of SWAT models on the simulation results was studied by different PET drivers.Research results showed that adopting subbasin scale for SWAT model to PET interpolation was quiet rough,and the calculated results cannot reflect the spatial distribution of PET specifically,the average temperature of alpine forest areas was less than 17.8C from January to February and also in December every year,including March sometimes.In different subbasins covered by large forest,the change of monthly average PET was little with the variation of forest species types and distribution areas,although differences of terrain on SWAT model were considered,it didnot show a high daily flow precision.Penman-Monteith model without consideration of terrain pattern,and Hargreaves model and Shuttleworth-Wallace model considered terrain pattern had good simulation results,while Penman-Monteith model fitted the best with Ens values of 0.65 1 and 0.686 in calibration and validation periods,respectively,which showed that the Penman-Monteith model suited better in alpine forest areas to calculate the potential evapotranspiration.关键词
SWAT模型/潜在蒸散量/Penman-Monteith模型/地形/高寒森林地区Key words
SWAT model/potential evapotranspiration/Penman-Monteith model/terrain/alpine forest areas分类
天文与地球科学引用本文复制引用
徐淑琴,丁星臣,王斌,彭莉..潜在蒸散量对SWAT模型寒区典型流域径流模拟的影响[J].农业机械学报,2017,48(3):261-269,9.基金项目
国家自然科学基金项目(51009026)、黑龙江省教育厅科学技术研究项目(12531024)、农业部农业水资源高效利用重点实验室开放课题项目(2015002)和东北农业大学农业水土工程创新团队项目 （51009026）
