碩士 / 嘉南藥理大學 / 觀光事業管理系 / 105 / Hot spring is one of the most important natural resource in Taiwan. It is necessary to monitor water level and temperature of hot springs to ensure that there will be enough hot water for sustainable usage. There are 9 hot spring areas among a total of 25 hot spring areas in Taiwan had setup a system of long-term monitoring wells. Those systems provide a large amount of monitoring data and the database is steadily growing. How to process the monitoring data automatically and uncover the trend for water resource management is a real challenge. In this study I create computer programs to analyze those big data to basic statistics, short-term index, long-term index and demonstrate the procedure via data from the Jiasi hot spring.
I suggest 4 types of index for water resource management. The short term index include: (1) This quarter's Quarter Water Level (QWL) comparing with the last year same quarter's QWL. (2) This quarter's QWL comparing with the last QWL. The long term index include: (3) This quarter's QWL comparing with the average, the highest, the lowest QWL of recorded data. (4) The Mann-Kendal trend of the QWL of recorded data. The short term indexes indicate the latest water level which mostly influenced by season raining but not by pumping of water and the long term indexes reflect the long term trend of water level mostly induced by withdraw of thermal water.
| Identifer | oai:union.ndltd.org:TW/105CNUP0517014 |
| Date | January 2017 |
| Creators | Kao,Chi-Fu, 高祈福 |
| Contributors | Chen,Wen-Fu, 陳文福 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 102 |
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