期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 92, 期 -, 页码 213-228出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2017.02.021
关键词
Stream temperature; Matlab; Sensitivity analysis; Distributed temperature sensing
类别
资金
- National Science Foundation CAREER program [EAR-0901480]
Process-based models of fluid flow and heat transport in fluvial systems can be used to quantify unknown spatial and temporal patterns of hydrologic fluxes and to predict system response to change. In this study, a deterministic stream heat budget model, the HFLUX Stream Temperature Solver (HFLUX), is developed and evaluated using field studies. Field studies are conducted across two sites with different streamflow rates (0.07 vs 1.4 m(3)/s), and point sources versus diffuse sources of groundwater discharge, to demonstrate model transferability. A winter versus summer comparison at one site suggests latent heat flux should be derived using energy-based methods in summer and mass transfer approaches during winter. For each field study, HFLUX successfully modeled stream temperatures through space and time with normalized root mean square errors of 3.0-6.2%. Model calibration to observed temperature data in order to quantify groundwater contributions and a sensitivity analysis are demonstrated using HFLUX. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据