论树生之脉设计理念在项目中的体现——记博望城一九龙半岛板块项目规划设计

文章根据生态旅游型的综合项目规划的内容目标,结合博望城一九龙半岛板块规划项目,在项目规划设计中引入树生之脉设计理念,因地势、顺地形,力图探索打造一个山水灵动的都市乐园、清雅寄合的怡养居所。     

浅析城市保障性住区的低碳规划--基于智慧低碳城市的研究

低碳发展是世界经济社会的潮流和趋势。“十二五”期间,我国制定了3600万套保障性住房建设的目标。我国正处于社会主义经济转型关键时期,我们如何实现经济增长与环境保护的共赢？本文就此进行思考,探索保障性住区的生态建设在法律法规、政策引导、生态规划以及居民自身等各方面的低碳策略,希冀对相关研究提供借鉴。     

基于生态-文化空间关联的乡土景观区划方法研究

迄今为止,在中国的城镇化进程中,乡土景观资源的保护与利用仍然是个未受到足够重视的薄弱环节。在社会格局剧变和文化高度融合的大背景下,隔离区域生态与文化特征的规划管理模式已无法适应人民对生活质量及其可持续性的更高追求。实现生态与文化视角的融合既是社会实践的要求也是学科发展的趋势。以福建北部地区为研究对象,在实施研究区生态与文化区划的基础上,以空间统计与地理信息技术为手段,验证了研究区生态与文化类型区的空间关联性,并据此构建了乡土景观分类及区划方法体系。对乡土景观区划成果在区域风景道规划及旅游资源空间管制等领域的应用途径做了初步探讨。本研究可视为是区域可持续发展战略中的有关乡土景观资源整合保护的一次有价值的实践探索。     

景观的发现与重构——南宁园博园 采石场花园设计

采石场伴随着人类文明而产生,也将伴随着人类社会的发展而长期存在。采石遗留的岩壁、岩石,以及地下水和雨水汇集形成的湖面水潭等构成了采石场景观的基础。采石场修复应当遵循自然规律,同时体现中国传统山水美学。南宁园博园7个采石场花园的设计,通过对场地景观特征的挖掘和恰当的人工介入,建立了融合于场地而又具有鲜明艺术特征的新景观体系。     

基于生产性景观的城市节地生态补偿策略研究

通过对以往紧凑高密度、立体化以及地下空间开发等城市节地策略进行梳理与剖析,结合当前生产性景观的发展趋势,提出城市节地的3项新策略:农业、新能源和复合型生产性景观的生态补偿,其实施方法包括填空、置换、叠加和重构。以城市屋顶为例,对3项新策略的节地与生产潜力进行估算,初步验证其有效性。基于城市生产性景观的生态补偿节地策略兼具经济、生态和社会价值,是未来景观与城市可持续发展领域的新课题。     

当代中国城市对荒野审美的呼唤

当今的城市化进程面临诸多问题,在生态文明的时代背景下,城市替代了乡村成为国人的主要人居环境。生态文明旨在倡导重构人与自然的关系。那么,荒野景观作为最本真的生态自然,理应成为人们市居生活的重要体验对象与审美对象。荒野哲学以其对人类生存家园损毁的忧患意识以及对当下生产生活方式的深刻反思逐渐成为哲学思考的重要组成部分。在当今城市中,荒野的价值应该得以重估,荒野景观应当得以复魅。城市对荒野的呼唤、城市审美对荒野的悦纳,是当今中国城乡可持续建设的重大使命。在生态文明的当今社会,人们在市居生活中需要倡导一种审美观念,即荒野审美。荒野审美观的构建正逐渐趋向成熟。     

生态环境绿化建设中苗木适应性探讨

生态环境绿化工作已经深入人心,各地都在进行各自的“山水林田湖草”项目的绿化种植工作,并且投入了很大的精力。但是在实际执行过程中,绿化种植经常会遇到种植苗木对立地条件的适应性问题,如果处理不善,将造成周边环境受到一定的伤害,进而影响了经济的发展。文章通过分析各种植物的习性,研究了各种苗木的生物特性与当地治理环境的立地条件之间的联系,得出有益的苗木种植适应性的结论。     

发挥绿地系统的生态效应--邯郸市生态绿化系统研究

城市绿地系统生态效应的充分发挥，具有非常重要的意义。为此，论文在分析了邯郸市自然条件及生态绿化系统规划建设的基础上，提出了增加有效“绿量”；保护城市绿地生物的多样性；开放专用绿地；溶解公园；构筑多功能的防护林体系等五点新思路。     

A robust mixed integer linear programming framework for underground cut-and-fill mining production scheduling

ABSTRACT

A review of general optimization studies that have been proposed for underground mining shows that previous works lack flexibility, operability and practicality in relation to cut-and-fill mining production scheduling. This paper presents a robust mixed integer linear programming (MILP) formulation for underground cut-and-fill mining. The objective function of the model is to maximize the net present value (NPV) of the operation while meeting all mining and processing operational and technical constraints. The MILP model features stope development and extraction sequencing constraints, mining and processing tonnage fluctuation constraints, and extraction duration and active levels control constraints. These features make the model more practical and expandable. The MILP model is verified and validated with two case studies from an existing mine and the results are compared with the actual mining strategy. The comparison shows a 9% to 17% improved NPV in both case studies resulting from mining higher grades and processing less tonnes thereby generating a better cash flow.     

Production scheduling under uncertainty of an open-pit mine using Lagrangian relaxation and branch-and-cut algorithm

ABSTRACT

The life-of-mine optimization of open pit mine production scheduling under geological uncertainty is a computationally intensive process. Production scheduling determines the optimal extraction sequence by maximizing net present value (NPV). In this paper, an algorithm is proposed to schedule an open pit mine under geological uncertainty, where instead of solving the whole problem at once, the production schedule is generated by sequentially solving sub-problems. The sub-gradient method is used to generate the upper bound solution of a Lagrangian relaxed sub-problem. If the upper bound relaxed solution is infeasible, a mixed integer programming is applied to the latter solution. The algorithm is validated by solving six problems and is compared to the linear relaxation of the original production scheduling problem. The results show that the proposed algorithm generates a solution that is very close to optimal, with less than a 3% optimality gap. An application at a copper mine, where geological uncertainty is quantified with geostatistical simulations of the related orebody, shows that all constraints are satisfied and an 11% higher NPV is generated when compared to the corresponding deterministic equivalent of the proposed approach, while a 26% higher NPV is generated compared to a common conventional industry approach.