The impact of global warming on winter tourism and skiing: a regionalised model for Austrian snow conditions

Possible climate change will modify snow-cover depth and change the characteristics of winter tourism and skiing districts. Our model describes seasonal snow-cover depth related to altitude in six Alpine climate regions as the best fit of all snow stations. Data cover 30 winter seasons (November to April values) from 1965 to 1995. We modified the data according to a scenario of temperature and precipitation change (2 °C warming, no precipitation change) and achieve a new simulated snow-cover depth. The indicators MARP (mean altitude of resident population) and MASPSL (mean altitude of starting point of ski lifts) serve as references for “critical altitudes” of Austrian districts. A warming implies a reduction of snow in all districts, but the loss is overproportional in lower altitudes. The direction of economic impacts is clear – income losses and adaptation costs – but magnitude and time frames remain uncertain. Received: 24 February 1999 · Accepted: 15 May 1999     

我国区域大气污染防治协作历程与展望

建立横向跨区域大气治理的联防联控协调机制是解决区域性大气污染的重要手段。我国自20世纪90年代开始探索通过区域协作解决区域性大气污染问题，经过30多年的发展，区域大气协作取得阶段性成效，但是区域协作的内在动力和持续性不足，难以满足未来区域大气环境管理需求。本文从理念形成、实践探索、机制完善等层面系统回顾了我国区域大气污染防治协作发展历程，结合“大气十条”以来重点区域联防联控工作重点和机制创新，总结了空气质量改善、统一标准体系建设、重污染天气应急体系建设、环境监管模式创新、科技支撑等方面取得的主要成效。基于未来我国区域大气环境管理需求，从综合管理体系、立法保障、规划统筹、信息共享等方面提出进一步完善的对策建议。     

"开放型"区域资源策略探析--以浙江省为例

本文从区域资源安全的内涵出发,以浙江省为研究对象,在分析了省域资源条件及供给现状的基础上,提出了构建“开放型”区域资源安全体系的总体思路。     

徐州红色旅游资源开发探讨

市场调查与分析显示,红色旅游资源在徐州市旅游资源开发中占据重要地位。徐州红色旅游资源的开发必须坚持高标准与高质量建设、区域合作、政府投资和市场化运作相结合、旅游产品活化四大原则。在徐州红色旅游资源开发战略举措上,建议采取坚持打造精品、加大宣传促销力度和整合徐州文化旅游资源、适时建设“军事文化大观园”三大战略举措。     

湖北省区域可持续发展能力综合评价

从区域可持续发展的观点出发，根据湖北省具体区域特征，通过构建湖北省区域可持续发展指标体系和评估方法，得出湖北省12个地市人口、资源、环境、经济和社会5个系统的可持续发展指数以及区域综合可持续发展指数。从总体上看，湖北省区域可持续发展水平处于偏低水平，其中武汉市是唯一具有强可持续发展能力的城市，但优势地位不明显；其它城市可持续发展5个系统均存在发展不平衡状况，且城市特色不突出。     

论区域开发中的环境规划

在分析区域开发中的环境规划所存在问题的基础上,阐述了区域环境规划的主要内容、规划目标和程序,提出了编制区域环境规划的建议.     

Water Network Synthesis Using Mutation-Enhanced Particle Swarm Optimization

Different techniques for the synthesis of industrial water reuse/recycle networks have been developed in recent process integration research. These tools range from graphical pinch analysis approaches to mathematical programming models. The latter have the advantage of being flexible enough to incorporate various water network constraints, but in many cases these are often non-linear, thus making the identification of global optima difficult. Recent work has demonstrated the effectiveness of metaheuristic algorithms such as particle swarm optimization (PSO), for finding good solutions these problems. This work describes the use of a modified PSO for solving mixed integer non-linear programming (MINLP) models for water network synthesis. By incorporating a mutation operator for the binary variables in the model, the algorithm is able to escape sub-optimal network topologies and proceed towards better solutions than can be found with ordinary PSO. Two case studies involving water recycle/reuse are used to demonstrate the new design methodology.     

A MULTIOBJECTIVE MODEL FOR REGIONAL WATER QUALITY MANAGEMENT1

ABSTRACT: Linear programming is the simplest of all the optimization techniques used in regional water quality management studies; but the technique can optimize only one goal. When there are multiple goals with the same or different priorities, goal programming is a useful decisionmaking tool. This paper illustrates the application of goal programming to a regional water quality management problem where the following two goals are considered: (1) minimize the total cost of waste treatment, and (2) maintain the water quality goals (dissolved oxygen) close to the minimum level stated in the stream standards.     

MANY RESOURCES,MANY USES: A SYSTEM ANALYSIS APPROACH TO RENEWABLE RESOURCE DEVELOPMENT1

ABSTRACT: Decisionmaking associated with the Nation's 1.7 billion acres of forest and range land has become increasingly complicated because of the rise in competition for resource use and in the awareness of environmental and social effects. This system analysis approach uses four models to synthesize pertinent masses of information into measures of economic, environmental, and social impacts. The system results can be used to help evaluate alternative national programs. The models are:

相似文献