Author Type

Graduate Student

Date of Award

2014

Document Type

Dissertation

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Shankar, Ravi

Abstract

This research proposes an Infrastructure to model complex systems for hydrological modeling. Currently, the three main hydrological packages are: i) SEAWAT (modeling groundwater flow); ii) HECRAS (modeling surface water flow); iii) HEC-HMS (modeling atmospheric water flow). Each of these models is self-contained and has a different timescale and simulation speed. Consequently, any integrated model will only run as fast as the slowest of the models. This makes it difficult to provide reliable and dynamic information on water levels and water availability for a given geographical region in a timely manner. The goal of this research is to facilitate the integration of multiple hydrological models from different hydrological packages by applying Electronic Design Automation (EDA) methodologies, including System Level Design (SLD) methodology, SystemC-AMS language, Python language and libraries (numpy, Statsmodels, and ctypes). The EDA methodology brings in the additional advantage of significantly improved simulation speed. The Infrastructure to Model Complex Systems applications is demonstrated using the following SEAWAT benchmark problems: i) Case 1; ii) Henry; iii) Elder problem. Simulation results from the aforementioned benchmarks are analyzed and discussed. Lastly, future research work is presented.

Extent

183 p.

Comments

Includes bibliography.|Dissertation (Ph.D.)--Florida Atlantic University, 2014.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.

Identifier

FA00004338

Format

pdf

Download

Share

COinS