检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]厦门理工学院环境科学与工程学院,福建厦门361024 [2]山地表生过程与生态调控重点实验室,中国科学院成都山地灾害与环境研究所,四川成都610041
出 处:《长江流域资源与环境》2015年第2期319-326,共8页Resources and Environment in the Yangtze Basin
基 金:国家自然科学基金项目(40925002);厦门理工学院高层次人才引进项目(YKJ12018R);厦门市科技局项目(3502Z20130039)联合资助
摘 要:长江源多年冻土区土壤水热传输过程机理与模拟,是广泛关系到高原生态环境保护恢复和区域水文过程的关键科学问题。因此,以GEOtop模型为研究平台,以长江源不同植被盖度下(裸地、30%、65%和92%)高寒草甸的观测数据为基础,检验模型对土壤水热迁移过程的描述与模拟精度。总体而言,GEOtop模型需要率定的参数较少,从而减少模型模拟的不确定性,提高了模拟精度。对不同植被盖度下土壤温度、水分和实际蒸散发模拟的NSE系数基本达到0.8,表明模型能准确模拟高寒生态系统土壤的水热传输过程,可以作为长江源区土壤水热过程的有效模拟工具。The water and energy balance transmission mechanism and process simulation of Yangtze River Headwater region (YRHR), are widely related to land surface process, ecological environment protection, frozen soil engineering, and regional hydrological processes. Due to the great sensitivity to climate change in source area, YRHR is regarded as a hot climate change research area. GEOtop model is a distributed hydrological model with coupled water and energy budget. The model domain consists of a soil profile of specified depth to the ground surface, the heat and subsurface water flow equations are then solved with finite differences schemes. The heat equation is solved as a one-dimensional form, while the equation describing the water flow in the soil is solved with a fully three-dimensional way. GEOtop model allows a complete coupled description of vertical and lateral flow. The determination of heat flux exchanged from the atmosphere to the ground surface is very important, which constitutes the upper boundary condition of the heat equation. Therefore, GEOtop model is used to model the water and heat transfer processes under bare land, 30°, 65° and 92°vegetation coverage. The model was calibrated using data in situ observations at local scale for. soil temperature profiles, soil moisture profiles, and evapotranspiration under different vegetation coverage. The results show that, the simulation of soil temperature under different vegetation coverage at different depth was ideal, especially for ground surface soil temperature of bare land. The Nash-Sutcliffe (NSE) coefficients of soil temperature were all larger than 0.9. Compared with soil completely melted periods, the modeling deviation of soil temperature in soil completely frozen periods was larger. Long-term field monitoring found that snow cover in the study area was thinner and melt in fast time, therefore snow module was not contained in our modeling. However, the snow melt and cover for a short time will cause soil temperature fluctuation. In addit
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.69