Modeling Human Interferences to Hydrologic Systems

However, current data availability of human activities is limited and water use data involve considerable uncertainties. Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Wang, Dingbao

Contributors dc:contributor

• Cai, Ximing

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI3395528

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83415