台灣地區溫泉旅遊之生態承載量分析－以高雄縣寶來、不老溫泉區為例

CNU IR > College of Sustainable Environment and Recreation > Dept. of Environmental Engineering and Science (including master's program) > Dissertations and Theses > Item 310902800/9708

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/9708

Title:	台灣地區溫泉旅遊之生態承載量分析－以高雄縣寶來、不老溫泉區為例 Analysis of the Ecological Carrying Capacity on Hot Spring Tourist Spot in Taiwan: A Case of Baolai and Bulao Hot Spring Area in Kaohsiung County
Authors:	張淑美 Shu-Mei Chang
Contributors:	張翊峰嘉南藥理科技大學：環境工程與科學系所
Keywords:	寶來不老 ARIMA模式生態承載量 Ecological Carryi Baolai and Bulao ARIMA model
Date:	2008
Issue Date:	2008-12-29 15:21:47 (UTC+8)
Abstract:	台灣地區近年來國人隨著工商服務業的快速發展、所得及休閒機會增加，使得遊憩人數正逐年大幅成長，因此民眾利用周休二日及假日從事國內外觀光遊旅活動，已成為日常生活中常態性之行為，尤其是溫泉泡湯，因為它既可達到遊憩旅遊目的，又有紓解工作及生活壓力並達到醫療健身之效果。而為了避免過多的遊客量對溫泉區產生破壞，建立一適當之生態承載量評估模式，對於瞭解溫泉水是否超限使用及如何維持溫泉區之遊憩品質以達到永續經營之目標，實為重要的課題。本研究以高雄縣寶來、不老溫泉區為例，探討該區之遊客量成長趨勢及生態承載量。首先利用時間序列ARIMA模式(ARIMA; Auto-Regressive Integrated Moving Average Model)來推估寶來、不老溫泉區未來遊客量之成長，再擬合該區之生態承載量來推估未來之最適遊客量。文中並對台灣溫泉現況及環境敏感區一併分析。研究結果顯示，寶來、不老溫泉區之未來遊客量呈現正成長的趨勢，推估到2013年的遊客量將到達94萬人次，而此區之發展限制因素主要是在可用溫泉水量的部份，並以此推估寶來、不老溫泉區之最佳生態承載量約為每日5,020-10,040人次，將可維持溫泉區之遊憩品質及生態環境的維護。 The importance of the roles that recreation and entertainment play in our life couldn’t be emphasized too much in this century. People need to take a rest and relax by participating in outdoor activities when they feel tried or under too much pressure. Most popular spots now are the hot spring areas. After taking a hot spring SPA, people feel recovered and spirited. However, too many visitors could do serious harm to the precious natural resources. Which means, not only how to evaluate if the hot spring water has been over-used, but the issue about how to maintain the touring quality in hot spring area are also important matters as worth studying. In this paper, we will take A case of the Environmental Sensitive Area of Baolai and Bulao Hot Spring Area in Kaohsiung County, particularly discussing the tendency on the variety of the number of the tourists and the ecological carrying capacity in this area. We are going to use “ARIMA”, Auto-Regressive Integrated Moving Average Model, to predict the number of future tourists in this area. In combination with the analysis of the ecological carrying capacity, we can find out the most proper number of future tourists in Baolai and Bulao Area. It turns out that the number of the tourists in Baolai and Bulao Hot Spring Area tends to be increasing. The predicted number of the tourists amounts to 940,000 in the year 2013. The main reason that limited the development of this area lies in the available quantity of spring water. The most proper capacity in Baolai and Bulao Area is predicted about 5,020-10,040 people per day. In other words, if we keep the number of tourists 5,020-10,040 per day, then we could probably maintain the touring quality and keep the balance of the ecological environment at the same time in Guanziling Hot Spring Area.
Relation:	校內一年後公開，校外永不公開
Appears in Collections:	[Dept. of Environmental Engineering and Science (including master's program)] Dissertations and Theses

Files in This Item:

File	Size	Format
	0Kb	Unknown	2277	View/Open

Loading...