期刊文献+

考虑植被生理生态特征变化的生态水文过程模拟 被引量:5

Modeling Ecohydrological Processes under Influence of Dynamic Variations of Vegetation Physiology and Ecology
下载PDF
导出
摘要 基于分布式水文-土壤-植被模型(DHSVM),考虑气候干湿条件下植被水分胁迫作用及水分利用适应性,提出了植物最小气孔阻力r smin随降雨量变化的蒸散发计算模式.根据枯期退水特征分析,提出了反映径流退水特征的两段式土壤渗透性衰减系数,实现了对DHSVM的改进.根据东江红壤丘陵区植被分布特征,选取星丰流域,采用现场观测、室内分析,结合遥感反演技术,确定研究区植被及土壤特征参数.利用2003—2008年实测气象、水文资料进行参数率定和模型验证.采用扰动分析方法分析土壤和植被参数变化对径流及蒸散发量影响的灵敏度.结果表明:改进的模型能较好地模拟植被生理特征随环境变化的生态水文过程,提高了流域水文过程模拟精度,为分析下垫面变化的生态水文效应提供科学依据. Based on the Distributed Hydrology-Soil-Vegetation Model(DHSVM),the evapotrmspiration model was improved by adjusting the minimum resistance of vegetation rsmin in relation to precipitation amount.This improvement enables the model to reflect the plant water stress and adaptive mechanism under dry and wet climate conditions.Two values of soil permeability decrease coefficients were adopted to reflect the basin flow recession characteristics according to the analysis of low flow recessions.Thus DHSVM was improved.A small basin of Xingfeng in Dongjiang hilly region with red-soil was selected as a study area.Model parameters related to vegetation and soil were determined on the basis of both remote sensing(RS) data and field and laboratory experiments.Hydrological and meteorological observation data during 2003 and 2008 was used for parameter calibration and model verification.Perturbation analysis method was used for analyzing sensitivity of parameters to runoff and evapotranspiration.The simulated results demonstrated that the improved model well captures ecohydrological processes under influences of vegetation physiologic and ecologic variations,and increases simulation accuracy for hydrological processes.This study offers a scientific basis for analyzing effects of land use and land cover changes on ecohydrology.
出处 《应用基础与工程科学学报》 EI CSCD 北大核心 2013年第6期1027-1036,共10页 Journal of Basic Science and Engineering
基金 国家自然科学基金(51079038 51190090 40930635) 江苏省高校自然科学研究项目(13KJB170018) 江苏高校优势学科建设工程资助项目(PAPD) 国家级大学生创新训练计划资助项目(201210300035)
关键词 植被 分布式水文模型 DHSVM 生态水文过程 遥感 vegetation distributed hydrological model DHSVM ecohydrological process remote sensing
  • 相关文献

参考文献27

  • 1Zhang L,Dawes W R,Walker G R. Predicting the effect of vegetation changes on catchment average water balance[ R]. Clayton, Victoria, Australia: Cooperative Research Centre for Catchment Hydrology, 1999.
  • 2Liu X, Ren L, Yuan F,et al. Quantifying the effect of land use and land cover changes on green water and blue water in northern part of China[ J]. Hydrology Earth and System Science,2009,13:735-747.
  • 3Li Zhi, Liu Wenzhao, Zhang Xunchang, et al. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China [ J ]. Journal of Hydrology,2009,377 ( 1-2 ) :35-42.
  • 4Stisea S,Jensen K H,Sandholt I,et al. A remote sensing driven distributed hydrological model of the Senegal River basin [J]. Journal of Hydrology,2008,354 : 131-148.
  • 5Wang Jiahu, Hang Yang, Li Li, et al. The coupled routing and excess storage (CREST)distributed hydrological model [ J]. Hydrological Sciences Journal,2011,56 ( 1 ) :84-98.
  • 6王蕾,倪广恒,胡和平.沁河流域地表水与地下水转换的模拟[J].清华大学学报(自然科学版),2006,46(12):1978-1981. 被引量:13
  • 7Cong Zhentao, Yang Dawen, Gao Bing, et al. Hydrological trend analysis in Yellow River basin using distributed hydrological model[ J]. Water Resources Research,2009,45, W0013 ,doi:10. 1029/2008 WR006852.
  • 8叶爱中,夏军,乔云峰,王纲胜.分布式小流域侵蚀模型及应用[J].应用基础与工程科学学报,2008,16(3):328-340. 被引量:10
  • 9Wigmosta M S, Lettenmaier D P, Vail L W. A distributed hydrology vegetation model for complex terrain [ J ]. Water Resources Research, 1994,30 ( 6 ) : 1665-1679.
  • 10Jost G, Moore R D,WeiIer M, et al. Use of distributed snow measurements to test and improve a snowmeh mode]for predicting the effect of forest clear-cutting[ J]. Journal of Hydrology,2009,376:94-106.

二级参考文献65

共引文献58

同被引文献61

引证文献5

二级引证文献22

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