基于CLUE-S和灰色线性规划的嘉兴北部土地利用优化配置研究

构建基于CLUE-S与灰色线性规划混合模型的土地利用优化配置方法,在导入区域政策、社会经济、生态目标和土地利用现状等条件下,进行土地利用数量结构与空间布局的统一优化,并以嘉兴北部地区为例进行实证研究,共设置现状趋势情景、规划目标情景和规划可持续情景这3种模拟情景.规划可持续情景侧重社会经济环境效益,故对建设用地快速增长和农用地持续减少起到明显调控作用,可实现生态敏感区环境和粮食安全的双重保护,是理想的土地利用优化方案.CLUE-S模型与灰色线性规划的耦合能够兼顾现状条件和区域发展目标,模拟土地利用的数量和空间变化,是解决土地资源优化配置问题的有效方法.     

The growing role of web‐based geospatial technology in disaster response and support

This paper examines changes in disaster response and relief efforts and recent web‐based geospatial technological developments through an evaluation of the experiences of the Center for Geographic Analysis, Harvard University, of the Sichuan (2008) and Haiti (2010) earthquake responses. This paper outlines how conventional GIS (geographic information systems) disaster responses by governmental agencies and relief response organisations and the means for geospatial data‐sharing have been transformed into a more dynamic, more transparent, and decentralised form with a wide participation. It begins by reviewing briefly at historical changes in the employment of geospatial technologies in major devastating disasters, including the Sichuan and Haiti earthquakes (case studies for our geospatial portal project). It goes on to assess changes in the available dataset type and in geospatial disaster responders, as well as the impact of geospatial technological changes on disaster relief effort. Finally, the paper discusses lessons learned from recent responses and offers some thoughts for future development.     

突发事件下城市群应急医疗床位共享建模

为给突发事件下城市群应急医疗床位共享提供理论依据,针对突发事件下城市群应急医疗床位共享问题,阐述突发事件下城市群应急医疗床位共享的必要性和可行性,并运用Multi-Hub理论,建立应急医疗床位在城市群集中的优化网络模型,并分析其内涵。在此基础上,采用基于层次分析法的线性回归方法,对多出救点、单个资源、多受灾点的应急医疗床位共享进行优化与讨论,并采用排队分配原则进行应急医疗床位具体去向的落实。研究结果表明:基于Multi-Hub理论的应急医疗床位区域集中优化模型与基于层次分析法的线性规划应急医疗床位调配优化模型,对突发事件下城市群应急医疗床位的共享具有优化和指导作用,能够提高突发事件下城市群应急医疗床位共享的效率,排队分配法能够在不超过医院容纳限度的前提下,保障应急救援的有序性和及时性。     

多目标规划在应急物流中的应用综述

为充分提高突发事件的应急救援效率,应急物流系统的建设至关重要。围绕应急物流系统,从应急物资管理、设施建立以及物流路径规划等方面入手开展相关研究工作的梳理和讨论,结果表明:目前相关研究受限于应急物流的应急体制建设不完善、多目标联系不紧密、信息化程度低、应急物资需求的动态性把握不准确等方面,而根据多目标规划方法提出的相应改进建议,能够实现救援线路最优化、救援时间最短化以及应急投入最小化等多个目标。     

线性规划法计算工业区大气承载力的探讨

分析了目前我国常用的模拟法、线性规划法和A-P值法三种大气承载力计算方法各自的缺点和局限性,探讨了线性规划法在工业园区规划环评大气承载力计算中的应用。以福建省某石化工业园区为实例,采用线性规划法计算了大气环境对SO2的承载力并用模拟法进行验证,计算结果10846t/a与模拟法结果13141t/a吻合性较好,表明线性规划法是计算区域大气承载力的科学可行的方法。     

亚铁离子对混合接种污泥淋滤的影响

通过对污水污泥加富培养和驯化制成污泥生物淋滤的混合接种物。用混合接种物接种,固定能源物质硫粉质量浓度为2g／L,研究FeSO4·7H2O的投加量对污泥中重金属Cu,Zn,Pb,Cd生物淋滤的影响。实验结果表明,FeS04·7H20的加入量为5-10g／L时淋滤效果最为合适。在28℃,180r／min的条件下淋滤15d,Cu,Zn,Pb和Cd的溶出率可分别达到81、09％,81．40％,67、55％和56、59％。通过比较发现,采用混合接种物进行生物淋滤,与采用纯种茵相比在重金属溶出和营养物质保存方面都有较好的效果。     

Sporting Nature(s): Wildness,the Primitive,and Naturalizing Imagery in MMA and Sports Advertisements

This essay examines two Nike commercials, a TapOut commercial, and the proliferation of mixed martial arts (MMA) t-shirt visual culture, all of which symbolically link wildness and “nature” as primitivity to their particular sport contexts. MMA in particular, it is argued, is more symbolically available to symbolic discourses of the “natural” and the “primitive” because of the sport's technological minimalism. The MMA t-shirt is posited as a safe, masculine primitive performance, functioning as an expressive personal substitute (or supplement) to the analogous tattoos “worn” by many fighters and fans. Additionally, this paper reviews and connects several disparate bodies of literature, moving from a discussion of eco-critical principles for critiquing the cultural production of nature / the natural, to an assessment of “nature” as primitivity, and finally to highlight how critical analyses of sport and MMA implicate related categories. While environmental communication has addressed the place of “nature” in advertising, little has been written about how discourses of nature, gender, and the environment intersect with the highly mediatized culture of sports. This article adds to the subfield by initiating just such a critical discussion. Finally, I contend that one of the main ideological functions of the employment of nature imagery here is to implicitly authorize notions of wildness or the “primitive” in close association with a male animal ideology, and also to symbolically reinforce existing narratives which naturalize aggression. These advertisements posit, I argue, a metaphysical rather than realist ecological discourse, enabling an unsustainable narrative of the naturalness of human-on-human violence and aggression.     

Developing a fuzzy linear programming model for locating recovery facility in a closed loop supply chain

In this research a closed loop supply chain is designed which incorporates reverse logistics and forward logistic system simultaneously. In the design of reverse logistic system, recovery options are embedded in traditional supply chain for treating returned products. The recovery system includes collection centres, remanufacturing plants and disposal centres. Since the product return is supply driven, there is an uncertainty about it. In the proposed configuration for closed loop supply chain, the optimised configuration for supply chain in terms of locating recovery plants is developed. Accordingly, a fuzzy mixed integer linear programming model develops to deal with the uncertainty of returning products by customers. A general-purpose solver (LINGO 8.0) and a Meta heuristic approach (genetics algorithm) are implemented to solve the proposed model. The answers are compared by defining indexes and then the optimal answer, configuration and variables are identified. This solution will suggest a new design of supply chain network in which waste of materials is minimised and the new raw materials are necessary only when the used products may not be recovered by recovery options.     

Multi-objective Programming and Social Welfare Analysis of Rural–urban Land Conversion Decision-making

Abstract

Rural–urban land conversion is an inevitable phenomenon in urbanization and industrialization. And the decision-making issue about this conversion is multi-objective because the social decision maker (the whole of central government and local authority) has to integrate the requirements of different interest groups (rural collective economic organizations, peasants, urban land users and the ones affected indirectly) and harmonize the sub-objects (economic, social and ecological outcomes) of this land allocation process. This paper established a multi-objective programming model for rural–urban land conversion decision-making and made some social welfare analysis correspondingly. Result shows that the general object of rural–urban land conversion decision-making is to reach the optimal level of social welfare in a certain state of resources allocation, while the preference of social decision makers and the value judgment of interest groups are two crucial factors which determine the realization of the rural–urban land conversion decision-making objects.     

FSILP: fuzzy-stochastic-interval linear programming for supporting municipal solid waste management

Although many studies on municipal solid waste management (MSW management) were conducted under uncertain conditions of fuzzy, stochastic, and interval coexistence, the solution to the conventional linear programming problems of integrating fuzzy method with the other two was inefficient. In this study, a fuzzy-stochastic-interval linear programming (FSILP) method is developed by integrating Nguyen's method with conventional linear programming for supporting municipal solid waste management. The Nguyen's method was used to convert the fuzzy and fuzzy-stochastic linear programming problems into the conventional linear programs, by measuring the attainment values of fuzzy numbers and/or fuzzy random variables, as well as superiority and inferiority between triangular fuzzy numbers/triangular fuzzy-stochastic variables. The developed method can effectively tackle uncertainties described in terms of probability density functions, fuzzy membership functions, and discrete intervals. Moreover, the method can also improve upon the conventional interval fuzzy programming and two-stage stochastic programming approaches, with advantageous capabilities that are easily achieved with fewer constraints and significantly reduces consumption time. The developed model was applied to a case study of municipal solid waste management system in a city. The results indicated that reasonable solutions had been generated. The solution can help quantify the relationship between the change of system cost and the uncertainties, which could support further analysis of tradeoffs between the waste management cost and the system failure risk.