养生小镇旅游产品开发研究——以昆明市永定镇为例

养生旅游作为一种旅游新业态,是旅游业发展到一定阶段的一种新型旅游模式。昆明市永定镇具有优越的环境条件、资源条件和市场条件,适合打造成为发展养生旅游的养生小镇。永定镇养生旅游产品开发主要以"医疗昆明市养生"和"休闲养生"为核心产品,其产品价值表现为构筑核心竞争力;以"运动养生"、"农事养生"和"佛教养生"为重点产品,其产品价值表现为丰富养生旅游产品;以观光农业、康体运动和健康科普为配套产品,其产品价值表现为搭建养生旅游的基础平台。     

土地政策参与宏观调控手段的完善

土地政策参与宏观调控是在特定经济背景下提出的.随着时间的推移和经济环境的变化,土地政策在h参与宏观调控的过程中也应做出相应的调整.列举了新经济背景下土地调控手段存在主次错位、刚性不强、缺乏有效配合等一系列问题,针对这些问题提出了在土地政策参与宏观调控的过程中要增加地土经济手段的运用、推动土地政策法律化和增强部门间协调配合等相关对策与建议.     

西部地区工业发展的比较优势分析

西部大开发实施以来,西部地区经济发展迅速,在产业结构升级和优化上取得了较大成绩.对西部地区1997-2006年的相关工业数据进行了分析,从总量、结构以及比较优势等方面加以把握,归纳出西部地区工业发展的几个显著特点以及成因,提出一些对策思路,主要包括:培育国家政策扶持机制,强化科技投入增长的保障机制,建设具有西部特色和优势的区域创新体系,健全金融体系等.     

新休假制度下长沙市城郊旅游市场分析

在我国新休假制度下,城郊游短线旅游受到越来越多旅游者的青睐。通过问卷调查,采用SPSS分析方法,得出长沙市城郊旅游市场在人口学和市场结构方面的一些特征。在市场分析的基础上,选择长沙市城郊旅游的目标市场,并针对相关问题对城郊旅游开发提出了一些建议,如以创造旅游者体验为核心提升景点价值;针对不同类型的消费者采取差异化的价格,宜采用多样化的促销方式和以直接营销渠道为主。     

人口学特征和动机偏好双重视角的入境游客市场细分研究——西安市的实证研究

基于SPSS16.0社会科学统计软件,采用单因素方差分析法和均值比较法,从9项内驱力指标和9项吸引力指标入手,对游客性别、年龄、学历水平等人口学特征与旅游动机之间的差异关系进行了定量分析。作为实证研究,以国家自然科学基金项目组在西安市开展市场调查获取的第一手数据为依据,从人口学特征和旅游动机双重视角,细分了西安市的入境客源市场,并据此提出针对性的客源市场开发方案,旨在为入境旅游市场的开发拓展提供理论借鉴和技术支持。     

凤山国家地质公园地质遗迹特征与旅游开发价值

广西凤山岩溶国家地质公园地质遗迹资源丰富、规模宏大、特征鲜明,共有15类岩溶为主的地质遗迹类型,其中岩溶洞穴、天生桥、天坑和天窗地质遗迹景观资源最具典型性和稀有性,拥有世界级景观、科学研究和旅游开发价值。但地质遗迹资源自身价值的优势并不能完全代表旅游开发的价值。衡量其旅游开发价值,必须从旅游者消费需求角度出发,考虑旅游安全、交通、服务、体验、经济等方面。     

完善公众参与环境决策机制的法制探讨

公众参与环境决策是一项重要的公众民主权利。我国已经将环境公众参与作为一项重要的环境保护法律制度,但是由于目前我国环保法律制度的不完善,在实施公众参与环境决策机制上存在着诸多问题,本文从法制的角度探讨了公众参与环境决策的理论依据,分析和论证建立适合我国国情的公众参与环境决策制度的主要方式,并提出完善公众参与环境决策制度的建议。     

Solid phase extraction with pyrenebutyric acid-bonded silica for analysis of polychlorinated biphenyls in sewage water by gas chromatography-mass spectrometry

A solid phase extraction (SPE) method using pyrenebutyric acid-bonded silica (PYB) as sorbent was developed to determine 23 polychlorinated biphenyls (PCBs) in sewage water by gas chromatography-mass spectrometry (GC-MS). Factors were optimized in SPE procedures including elution solvent, pH, and cartridge burden. The recoveries of 23 PCB congeners were 69.44-111.91% under optimized conditions. Comparisons were also conducted among PYB-SPE, C(18)-SPE and United States Environmental Protection Agency 608 (USEPA608) methods in the analysis of PCBs in sewage water samples. The results showed that the performance of PYB-SPE method was similar with USEPA608 method and better than C(18)-SPE method. Both PYB-SPE and USEPA608 methods were then employed to analyze PCBs in real spiked sewage water samples. The recoveries of PCB congeners determined by PYB-SPE method ranged from 70.6% to 92.4% in real spiked sewage water samples which were identified to be in accordance with USEPA608 method. Limits of detection (LOD) were in the range of 0.06-0.22ngL(-1) for PCB congeners. The optimized PYB-SPE method was successfully applied to the determination of PCBs in sewage water samples.     

维生素和酮苷生产废水中难降解污染物的溯源研究

研究了维生素和酮苷生产过程中各生产工段排水的生物降解特性,评价了各生产工段对生产废水中难降解有机物的贡献率,追溯了可能的难降解特征污染物。结果表明,维生素生产废水中的难降解物质主要来自W1-1、W1-3、W1-5和W1-6生产工段,甲醛、丁烯酮、醛酮聚合物和吡啶可能是导致生产废水难降解的重要原因;酮苷生产废水中的难降解物质主要来自W2-1、W2-3和W2-7生产工段,氯代有机溶剂和苯环类物质可能是导致生产废水难降解的重要原因。建议根据具体生产工段排水的水质特征,有针对性地进行物化处理,提高废水可生化性。     

Source apportionment of wintertime secondary organic aerosol during the California regional PM10/PM2.5 air quality study

The UCD/CIT air quality model with the Caltech Atmospheric Chemistry Mechanism (CACM) was used to predict source contributions to secondary organic aerosol (SOA) formation in the San Joaquin Valley (SJV) from December 15, 2000 to January 7, 2001. The predicted 24-day average SOA concentration had a maximum value of 4.26 μg m^?3 50 km southwest of Fresno. Predicted SOA concentrations at Fresno, Angiola, and Bakersfield were 2.46 μg m^?3, 1.68 μg m^?3, and 2.28 μg m^?3, respectively, accounting for 6%, 37%, and 4% of the total predicted organic aerosol. The average SOA concentration across the entire SJV was 1.35 μg m^?3, which accounts for approximately 20% of the total predicted organic aerosol. Averaged over the entire SJV, the major SOA sources were solvent use (28% of SOA), catalyst gasoline engines (25% of SOA), wood smoke (16% of SOA), non-catalyst gasoline engines (13% of SOA), and other anthropogenic sources (11% of SOA). Diesel engines were predicted to only account for approximately 2% of the total SOA formation in the SJV because they emit a small amount of volatile organic compounds relative to other sources. In terms of SOA precursors within the SJV, long-chain alkanes were predicted to be the largest SOA contributor, followed by aromatic compounds. The current study identifies the major known contributors to the SOA burden during a winter pollution episode in the SJV, with further enhancements possible as additional formation pathways are discovered.