Importance of field data in stream water quality modeling using QUAL2E-UNCAS

被引:14
作者
Barnwell, TO
Brown, LC
Whittemore, RC
机构
[1] US EPA, Natl Ctr Environm Res, Washington, DC 20460 USA
[2] Tufts Univ, Dept Civil Engn, Medford, MA 02155 USA
来源
JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE | 2004年 / 130卷 / 06期
关键词
water quality; streams; simulation models; field investigations; model verification; error analysis; Monte Carlo method;
D O I
10.1061/(ASCE)0733-9372(2004)130:6(643)
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Stream Water Quality Model QUAL2E-UNCAS is widely used to simulate the dissolved oxygen of streams under steady flow conditions. It is the latest version of a series of water quality models that have a long history in systems analysis in water quality management, and has been applied to a number of streams and rivers around the world. This paper summarizes the conceptual representation of the computer model, briefly reviews a number of applications of the model that have been published in open literature, describes the included uncertainty analysis capability, and discusses the importance of field data in model predictions. Experience with the QUAL2E model has proven the importance of site-specific data to model predictions. An accurate representation of the properties of the system significantly contributes to simulation success.
引用
收藏
页码:643 / 647
页数:5
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