洛阳市旅游资源的空间结构及其演化模式

通过对洛阳市旅游景点体系的集聚度、通达度和分异度指标分析,认为洛阳市旅游资源空间分布呈现整体均匀、中部集聚态势,景点网络的通达度有待提高。基于洛阳市旅游资源的密度和品位度空间分布等高线图,将洛阳市旅游资源化为3个核心-边缘单元:即洛阳——文化旅游资源体系、栾(川)嵩(县)——山岳旅游资源体系和新安——山水旅游资源体系。根据区域发展的离散阶段、成长阶段和成熟阶段,讨论了3个资源体系目前所处的阶段和边缘地区可能的发展趋势。     

青藏高原江河源区近40年来气候变化特征及其对区域环境的影响

以江河源区12个气象台站1971-2008年间的逐月气温、风速和降水资料为基础,对该区气候变化特征进行了分析,结果表明:近40年来,江河源区气候持续变暖,年均气温的增温率为0.37℃/(10 a),1987年和1998年气温由低向高突变;年均风速显著降低,每10 a降幅为0.24 m/s,1981年和1992年风速由高向低突变,年均风速与年均气温间呈负相关关系;1980年代降水偏多,1970和1990年代偏少,21世纪以来降水量有所回升,增幅因区域而异;年陆面蒸发量整体显著增加.结合前人研究,探讨了气候变化对环境的影响:持续升温导致江河源区内冰川退缩、多年冻土退化;1980年代气候相对暖湿,水资源量较丰;气候暖干化、水资源量减少、生态环境恶化是该区在1990年代和21世纪最初几年的显著特征;2004年左右以来,江河源区气候转湿,水资源量增加,生态环境有所好转.     

试论未来极端气候事件发展趋势的不确定性

极端气候事件是在一定时间尺度上发生的不同于气候系统平均状态的气候突变.早第三纪的最热事件（PETM）,第四纪中国黄土高原古土壤S4、S5记录的暖湿事件,砂黄土L9、L15记录的干冷事件等都是在轨道时间尺度上发生的极端气候事件.末次冰消期的YD冷事件、全新世9次冷事件是在千—百年尺度上发生的极端气候事件.这些极端气候事件出现于地球气候系统不同的冷暖背景下,它们的成因机制和表现形式有很多不确定性.20世纪以来发生的干旱、洪水、飓风、雪灾、沙尘暴等极端气候事件,无法用持续增加的温室气体的变化来解释.关于极端气候事件发生频率和强度随＂全球变暖＂而增加的结论也存在一定程度的不确定性.因此,简单地将现代极端气候事件统统归因于＂气候变暖＂既不科学也不合理.深入研究各个时间尺度上发生的极端气候事件的波动性、周期性和不确定性特征,有助于科学预测未来气候变化背景下极端气候事件的发展趋势.     

中国中世纪暖期气候变化的基本特征

对中世纪暖期（MWP）的时空分异和区域影响进行综合分析,关系到对近百年来全球气候变暖驱动力的正确认识,也有助于客观地解析20世纪气候变化增暖的历史地位.本研究对中国疆域内各个地区MWP的一些成果进行梳理和再思考,表明MWP在中国疆域内的存在是毋庸置疑的,但不同地区MWP表现出明显的时空差异.中国中东部地区在800—1300 AD存在明显温暖期,各种地质记录和文献记载都有较明显反映;虽然西北部MWP表现不很明显,但是众多石笋、湖泊沉积和风沙沉积也记录了500—1500 AD间呈现温暖湿润的气候特征;青藏高原各地MWP的表现差异明显,其中800—1100 AD暖期是高原东北部最暖的时期,而南部和西部最暖期分别出现于1150—1400 AD和1250—1500 AD.太阳辐射变化和火山活动可能是形成MWP的基本原因,而中国三大自然区下垫面条件的复杂多样性造成MWP发生过程和表现形式的时空分异.     

1961-2008年中国西南地区极端气候变化幅度的海拔效应(英文)

A total of 12 indices of temperature extremes and 11 indices of precipitation ex-tremes at 111 stations in southwestern China at altitudes of 285-4700 m were examined for the period 1961-2008. Significant correlations of temperature extremes and elevation in-cluded the trends of diurnal temperature range, frost days, ice days, cold night frequency and cold day frequency. Regional trends of growing season length, warm night frequency, coldest night and warmest night displayed a statistically significant positive correlation with altitude. These characteristics indicated the obvious warming with altitude. For precipitation extreme indices, only the trends of consecutive dry days, consecutive wet days, wet day precipitation and the number of heavy precipitation days had significant correlations with increasing alti-tude owing to the complex influence of atmospheric circulation. It also indicated the increased precipitation mainly at higher altitude areas, whereas the increase of extreme precipitation events mainly at lowers altitude. In addition, the clearly local influences are also crucial on climate extremes. The analysis revealed an enhanced sensitivity of climate extremes to ele-vation in southwestern China in the context of recent warming.     

20世纪90年代中期以来中国县域旅游研究进展与展望

采用Pearson Correlation分析法对1995-2010年我国县域旅游研究重要文献进行系统评述,初步构建了我国县域旅游理论体系;研究内容主要包括发展、规划、开发、资源、市场、形象、产品和方法研究8个领域21个视角,研究方法以现象描述和数理统计方法为主,但仍存在着理论研究视角、实证研究对象和研究方法选择较单一等问题;今后应分别从发展、规划、开发、要素和研究方法等方面的28个重要方向拓宽和延伸我国县域旅游的理论与实证研究。     

旅游网站信息流距离衰减形态分异特征及其与网站功能的关系

应用10个样本旅游网站日均访问量的空间分布数据及网站功能资料,对样本旅游网站日均访问量与实际距离进行空间关系逆曲线拟合,进行距离衰减形态分异及其与网站功能相关性的研究。结果发现:1)旅游网站信息流距离衰减形态具有显著的波动性分异特征和地方性分异特征,随着旅游网站信息流距离衰减波动性分异特征从显著性到不显著性的变化,其距离衰减程度依次增强,其逆曲线衰减的符合程度依次上升;而随着旅游网站信息流距离衰减地方性分异特征由显著性到不显著性的变化,其距离衰减程度依次减弱,其逆曲线衰减的符合程度依次下降。表明不同网站间信息流距离衰减存在多样性变化。2)旅游网站信息流距离衰减形态的分异特征与旅游网站的主要功能之间关系密切:信息发布为主兼有预订功能的旅游网站距离衰减形态较为复杂;预订为主兼有信息发布的旅游网站和论坛为主的旅游网站距离衰减形态基本一致,波动性较小、地方性显著;政务为主的旅游网站距离衰减形态表现为波动性较大、地方性不显著的特征。依据旅游网站信息流距离衰减形态的规律,可指导旅游网站服务功能的建设和组织不同距离上的旅游流。     

关于旅游学几个基础问题的探讨

依据权威工具书中关于相关概念的界定,对旅游学的学科属性及旅游学方法论等重要的基础问题逐一进行分析,认为旅游学具备成为科学的条件,属于交叉学科中的综合学科;辨析了旅游学与相关学科关于研究对象、研究方法、理论内容的关系,最后就旅游学方法论的问题展开讨论。     

Adaptation models of mountain glacier tourism to climate change: a case study of Mt. Yulong Snow scenic area

Mountain glaciers have an obvious location advantage and tourist market condition over polar and high latitude glaciers. Due to the enormous economic benefit and heritage value, some mountain glaciers will always receive higher attention from commercial media, government departments and mountain tourists in China and abroad. At present, more than 100 glaciers have been developed successfully as famous tourist destinations all over the world. However, global climate change seriously affects mountain glaciers and its surrounding environment. According to the current accelerated retreat trend, natural and cultural landscapes of some glaciers will be weakened, even disappear in the future. Climate change will also inevitably affect mountain ecosystems, and tourism routes under ice and glacier experience activities in these ecosystems. Simultaneously, the disappearance of mountain glaciers will also lead to a clear reduction of tourism and local economic benefits. Based on these reasons, this paper took Mt. Yulong Snow scenic area as an example and analyzed the retreat trend of a typical glacier. We then put forward some scientific and rational response mechanisms and adaptation models based on climate change in order to help future sustainable development of mountain glacier tourism.     

Validation of the effects of temperature simulated by multi-model ensemble and prediction of mean temperature changes for the next three decades in China

Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation, we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi- model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of 1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C.