| 艾丁湖北景区旅游环境容量预测研究 |
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| 引用本文： | 冯晓华,阎顺,杨海英,刘文翰.艾丁湖北景区旅游环境容量预测研究[J].干旱区地理,2007,30(6):974-980. |
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| 作者姓名： | 冯晓华 阎顺 杨海英 刘文翰 |
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| 作者单位： | 1. 河南理工大学经管学院,河南,焦作,454000
2. 中国科学院新疆生态与地理研究所,新疆,乌鲁木齐,830011 |
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| 基金项目： | 中科院知识创新方向性项目(KZCXR-YW-127) |
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| 摘 要： | 随着旅游业的迅猛发展,近年来干旱区平原湖泊的旅游开发越来越多,其旅游环境容量的研究也成为一个重要的课题。以干旱区典型的艾丁湖旅游区为研究案例,利用旅游环境容量静态模型(包括旅游资源空间容量、旅游生态容量、旅游经济承载容量以及旅游地居民心理承载容量等测算模型)以及"木桶原理"理论对艾丁湖北景区环境容量进行定量预测。最终得出结论:艾丁湖北景区最终的旅游环境容量主要取决于旅游资源空间容量;而依据"木桶原理",滨水景点作为旅游资源空间容量的瓶颈,成为整个旅游景区发展的关键因素,为艾丁湖生态旅游的建设规划和持续开发提供了科学依据,提出了初步的旅游容量测算标准,为干旱区平原湖泊的生态旅游持续开发提供了一定的参考模式。
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| 关 键 词： | 艾丁湖 旅游环境容量 预测 |
Tourism environmental capacity of the northern scenic area in Aiding Lake |
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| FENG Xiao-hua,YAN Shun,YANG Hai-ying,LIU Han-wen.Tourism environmental capacity of the northern scenic area in Aiding Lake[J].Arid Land Geography,2007,30(6):974-980. |
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| Authors: | FENG Xiao-hua YAN Shun YANG Hai-ying LIU Han-wen |
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| Abstract: | More and more lakes in plains of arid region have been developed as travel sites during last years with the rapid development of the tourism in China,so it is necessary to research the tourism environmental carrying capacity.This paper took Aiding Lake as a typical case in arid land,made quantitatively evaluation to the tourism environmental capacity of the Aiding Lake,which based on the Static Model of tourism environmental capacity including the tourism resource capacity,the tourism ecology capacity,the tourism economy capacity and the mentality capacity of dwellers,and also including the principle of wood barrel.The results are as follows:the ultimate tourism environmental capacity in Aiding Lake mostly depended on the tourism resource capacity;but according to the theorem of wood barrel,the Binshui scenic spot became the crucial factor because it was the key barrier of the tourism resource capacity.It offered scientific evidence for the planning and sustainable development of the Aiding Lake,set the preliminary criterion for the environmental capacity and provided a reference pattern in other comparable lakes of the arid zone. |
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| Keywords: | Aiding Lake tourism carrying capacity predict |
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