Development of Groundwater Modeling Support System Based on Service-oriented Architecture

碩士 === 國立交通大學 === 土木工程系所 === 103 === Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre and post processing software packages to alleviate the model simulation loading, but the stand-alone software do not conside...

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Bibliographic Details
Main Authors: Wang, Yu-Tien, 王又田
Other Authors: Cheng, Liang-Chang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/y7cb66
Description
Summary:碩士 === 國立交通大學 === 土木工程系所 === 103 === Groundwater simulation has become an essential step on the groundwater resources management and assessment. There are many stand-alone pre and post processing software packages to alleviate the model simulation loading, but the stand-alone software do not consider centralized management of data and simulation results neither do they provide network sharing function. The model buildings are still implemented independently case to case when using these packages. Hence, it is difficult to share and reuse the data and knowledge (simulation cases) systematically within or across companies. Therefore, this study develops a centralized and network based groundwater model developing system to assist model simulation. The system is based on service-oriented architecture and allows remote user to develop their modeling cases on internet. The data and cases (knowledge) are thus easy to manage centralized. MODFLOW is the modeling engine of the system, which is the most popular groundwater model in the world. The system provides groundwater observations data warehouse, MODFLOW Support Service, MODFLOW Input File &; Shapefile Convert Service, MODFLOW Service, and Expert System Service to assist researchers to build models. Since the system architecture is service-oriented, it is scalable and flexible. The system can be easily extended to include the scenarios analysis and knowledge management to facilitate the reuse of groundwater modeling knowledge.