中国湿地现状综述

湿地是重要的自然资源,对人类生存起着重要作用。本文综述了湿地的含义、功能与 价值、中国湿地的特点与现状,以促进中国湿地的可持续发展与利用。     

欠发达地区县域经济可持续发展障碍与对策--以云南省凤庆县为例

通过对区位优势不明显,社会、经济和文化落后,但资源丰富的典型的欠发达县域凤庆县的实证研究,从思想观念、所有制结构、产业结构、基础建设、社会文化和经济,以及生态环境和农业基础等方面剖析了凤庆县经济不可持续发展的主要症结及原因,提出了该县经济可持续发展的总体思路,并作了对策探讨.     

民族生态系统的可持续发展模式--以哈尼梯田为例

从民族生态学的角度分析哈尼梯田民族生态学实践,阐述了哈尼梯田民族生态系统可持续发展的限制性因素.从认识论、方法论和技术三个层面构建了哈尼梯田民族生态系统的可持续发展模式,旨在为民族生态系统的可持续发展和新的文化生态伦理观的确立提供有益借鉴.     

生态示范区可持续发展灰色评估系统设计应用

介绍了如何在国家级生态示范区的可持续发展评估中运用灰色系统理论构建定量评估系统模型,并给出了关系型指标表、量纲模型、多元灰色预测模型和发展系数模型以及应用实例.根据该评估系统模型所开发的灰色评估系统由数学模型、计算机软件和硬件组成,可自动完成量纲统一、指标预测、相关分析、综合评估和趋势图表的运算和输出.     

经济欠发达山区矿泉水资源的开发利用--以梅州市为例

基于矿泉水与人体健康的关系、在社会经济发展中的作用,以及对梅州市矿泉水资源条件及其开发利用现状的调研,探讨了经济欠发达山区矿泉水资源的开发利用对策和前景.认为应统一资源管理,加强质量监督力度,打造优质品牌,提高市场竞争能力,争取与食品、旅游等部门联营,使矿泉水产品多样化、系列化;结合地方工业建设和梅州旅游市场需求,培育矿泉水消费市场.     

红外和热分析联用在化工产品研究中的应用

运用实例论述了红外光谱分析与热分析联用在化工产品的产品开发和检测方面的应用。     

实施循环经济推动大型煤炭企业可持续发展

经济发展与环境保护之间的矛盾,一直是困扰国有大型煤炭企业发展的大问题,循环经济模式能够从根本上解决这一矛盾.本文以龙口矿业集团公司为例,论述了发展循环经济是实现煤炭企业可持续展的必由之路.     

新疆发展有机食品生产与可持续发展

从地域优势、农产品特征、生态条件等方面,论述了新疆发展有机食品生产的适宜性和重要意义.认为新疆发展有机食品生产可以利用得天独厚的气候、水土等自然资源,以及工业污染环境影响较小的有利条件,保护和改善农村生态环境,充分发挥独特的农产品资源优势,提高农产品附加值,变资源优势为经济优势,并结合新疆区情,从多方面提出了新疆发展有机食品的思路和措施.     

Relationship Between Tourism Development and Vegetated Landscapes in Luya Mountain Nature Reserve, Shanxi, China

The relationship between tourism development and vegetated landscapes is analyzed for the Luya Mountain Nature Reserve (LMNR), Shanxi, China, in this study. Indices such as Sensitive Level (SL), Landscape Importance Value (LIV), information index of biodiversity (H’), Shade-tolerant Species Proportion (SSP), and Tourism Influencing Index (TII) are used to characterize vegetated landscapes, the impact of tourism, and their relationship. Their relationship is studied by Two-Way Indicator Species Analysis (TWINSPAN) and Detrended Correspondence Analysis (DCA). TWINSPAN gives correct and rapid partition to the classification, and DCA ordination shows the changing tendency of all vegetation types based on tourism development. These results reflect the ecological relationship between tourism development and vegetated landscapes. In Luya Mountain Nature Reserve, most plant communities are in good or medium condition, which shows that these vegetated landscapes can support more tourism. However, the occurrence of the bad condition shows that there is a severe contradiction between tourism development and vegetated landscapes.     

Sustainable pattern analysis of a publicly owned Material Recovery Facility in a fast-growing urban setting under uncertainty

Sustainable development goals are achievable through the installation of Material Recovery Facilities (MRFs) in certain solid waste management systems, especially those in rapidly expanding multi-district urban areas. MRFs are a cost-effective alternative when curbside recycling does not demonstrate long-term success. Previous capacity planning uses mixed integer programming optimization for the urban center of the city of San Antonio, Texas to establish that a publicly owned material recovery facility is preferable to a privatized facility. As a companion study, this analysis demonstrates that a MRF alleviates economic, political, and social pressures facing solid waste management under uncertainty. It explores the impact of uncertainty in decision alternatives in an urban environmental system. From this unique angle, waste generation, incidence of recyclables in the waste stream, routing distances, recycling participation, and other planning components are taken as intervals to expand upon previous deterministic integer-programming models. The information incorporated into the optimization objectives includes economic impacts for recycling income and cost components in waste management. The constraint set consists of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening restrictions. Due to the fragmented data set, a grey integer programming modeling approach quantifies the consequences of inexact information as it propagates through the final solutions in the optimization process. The grey algorithm screens optimal shipping patterns and an ideal MRF location and capacity. Two case settings compare MRF selection policies where optimal solutions exemplify the value of grey programming in the context of integrated solid waste management.