柔性时间约束突发事件交通疏散规划研究

柔性时间约束突发事件是对疏散时间强制程度较小的突发事件。为有效处理城市中这类突发事件下的人员疏散问题,在分析柔性时间约束突发事件特点的基础上,提出完整的突发事件交通疏散规划框架。根据我国现阶段国情,以总的疏散时间最少为决策目标,同时面向私人汽车和公共汽车2种方式,综合考虑成本费用、车辆保有量、道路容量等资源约束条件,建立求解突发事件交通疏散方案的整数线性规划(ILP)模型,并给出有效的求解算法。最后通过算例,演示应用模型及算法求解交通疏散规划方案的详细过程。结果表明,应用研究成果求解得到疏散交通工具选择及其路线安排方案,可以实现在一定资源约束下总的疏散时间最少。     

Supply chain and logistics competencies in humanitarian aid

The continuing incidence of disasters and their associated challenges has increased the demand for humanitarian logisticians. However, there is a dearth of research on their essential competencies. This paper proposes, therefore, a humanitarian logistics competency framework (HlCF) to assist with the professional development of humanitarian logisticians. In creating the HlCF, nine competency domains containing 29 specific competencies across four levels (entry to senior management) were identified. This study makes two key contributions to the literature: (i) it extends the discussion of competency frameworks in humanitarian logistics; and (ii) it presents a framework designed to support the human resource plans and practices of aid agencies. The HlCF allows not only individual humanitarian logisticians to develop the competencies necessary for career success, but also humanitarian organisations to map their own competency frameworks to a common standard. This will, in turn, facilitate workforce mobility and support the overall concept of a certified humanitarian logistics professional.     

Iron-doped copper 1,4-benzenedicarboxylate as photo-Fenton catalyst for degradation of methylene blue

Abstract

A metal-organic framework of iron-doped copper 1,4-benzenedicarboxylate was synthesized and, for the first time, utilized as a heterogeneous photo-Fenton catalyst for degradation of methylene blue dye in aqueous solution under visible light irradiation. The synthesized materials were characterized by scanning electron microscopy, Fourier-transform infrared spectroscopy, X-ray diffraction and energy-dispersive X-ray spectroscopy. The influence factors, kinetics, and stability of the synthesized catalysts were investigated in detail. Iron-doped copper 1,4-benzenedicarboxylate showed higher degradation efficiency than pure copper 1,4-benzenedicarboxylate. An almost complete degradation was achieved within 70?min under visible light irradiation at a solution pH of 6, a catalyst loading of 1?g?L^?1, a H₂O₂ dosage of 0.05?mol L^?1 and methylene blue concentration of 50?mg?L^?1. Recycling studies demonstrated that the iron-doped copper 1,4-benzenedicarboxylate is a promising heterogeneous photo-Fenton catalyst for long-term removal of methylene blue dye from industrial wastewater.     

A concise review of ecological risk assessment for urban ecosystem application associated with rapid urbanization processes

ABSTRACT

Urban ecological risk (UER) caused by rapid urbanization means potential threat to urban ecosystem structure, pattern and services. The scales of ecological risk assessment (ERA) have been expanded from individual organisms to watersheds and regions. The types of stressor range from chemical to physical, biological and natural events. However, the application of ERA in urban ecosystems is relatively new. Here, we summarize the progress of urban ERA and propose an explicit framework to illumine future ERA based on UER identification, analysis, characterization, modeling, projection and early warning and management. The summary includes six urban ERA-relevant methods: weight-of-evidence (WoE), procedure for ecological tiered assessment of risks (PETAR), relative risk model (RRM), multimedia, multi-pathway, multi-receptor risk assessment (3MRA), landscape analysis and ecological models. Furthermore, we review critical cases of urban ERA in landscape ecology, soil, air, water and solid waste. Based on the Internet of Things (IoT) and cloud computing, an urban ERA management platform integrates various urban ERA methodologies that can be developed to provide better implementation strategies of UER for urban ecosystem managers and stakeholders. We develop a conceptual model of urban ERA based on the urban characteristics in China. The future applications of urban ERA include uncertainty analysis using Monte Carlo techniques on the basis of geospatial techniques and comprehensive urban ERA using nonlinear models or process models.     

Scaling up of biomass simulation for Eucalyptus plantations based on landsenses ecology

ABSTRACT

Sustainable forest management on a regional scale requires accurate biomass estimation. At present, technologically comprehensive forecasting estimates are generated using process-based ecological models. However, isolation of the ecological factors that cause uncertainty in model behavior is difficult. To solve this problem, this study aimed to construct a meliorization model evaluation framework to explain uncertainty in model behavior with respect to both the mechanisms and algorithms involved in ecological forecasting based on the principle of landsenses ecology. We introduce a complicated ecological driving mechanism to the process-based ecological model using analytical software and algorithms. Subsequently, as a case study, we apply the meliorization model evaluation framework to detect Eucalyptus biomass forest patches at a regional scale (196,158 ha) using the 3PG2 (Physiological Principles in Predicting Growth) model. Our results show that this technique improves the accuracy of ecological simulation for ecological forecasting and prevents new uncertainties from being produced by adding a new driving mechanism to the original model structure. This result was supported by our Eucalyptus biomass simulation using the 3PG2 model, in which ecological factors caused 21.83% and 9.05% uncertainty in model behavior temporal and spatial forecasting, respectively. In conclusion, the systematic meliorization model evaluation framework reported here provides a new method that could be applied to research requiring comprehensive ecological forecasting. Sustainable forest management on regional scales contributes to accurate forest biomass simulation through the principle of landsenses ecology, in which mix-marching data and a meliorization model are combined.     

气相置换合成Zn-Cu-BTC及其吸附脱硫性能

采用气相置换法制备了Zn-Cu-BTC双金属有机骨架化合物,运用XRD,SEM-EDS,BET等技术对材料进行了分析表征,并以二苯并噻吩-正辛烷为模拟油（硫含量450 μg/g）,通过吸附脱除二苯并噻吩评价了材料的吸附脱硫性能。表征结果显示,Zn的引入改变了Cu-BTC特有的八面体结构。实验结果表明：在模拟油与吸附剂的质量比100∶1、吸附温度30 ℃的条件下,吸附90 min后Zn-Cu-BTC对硫的吸附达到平衡,吸附量可达38.8 mg/g,脱硫率为94.20%,而Cu-BTC吸附120 min后达到平衡,吸附量仅为26.6 mg/g;Langmuir等温吸附模型可有效描述Zn-Cu-BTC对硫的吸附过程。     

用循环经济理念构建包钢生态工业园区

以包钢(包头钢铁集团公司)为例,对包钢及周边地区存在的主要环境问题进行了分析.在此基础上,从园区系统结构、生态工业模式、生态产业链的设计以及行业网络耦合方面构建了包钢生态工业园区的规划框架,以体现"资源-产品-废物再资源化"的物质循环利用的循环经济理念.提出了运用清洁生产管理手段加快包钢以及整个园区的生态转型.      

Hierarchical methodological framework to improve Policy Environmental Assessment: Based on policy layer research

This study explores the current implementation challenges of the Policy Environmental Assessment (PEA), including the implementation of a far richer, more diverse (at macro level), and better understanding of PEA and integration with decision making. The results contribute to the analysis of PEA through different hierarchies of assessment. Stemming from the theory and practice of policy, a concept of PEA hierarchies is proposed including the uppermost PEA, upper-lower PEA, and lowermost PEA. Afterward, the differences of the three hierarchies are interpreted, in terms of aims, principles, processes, and methods. The evaluation of the policy environmental impacts from different lens helps solve the complexities of policies and identify opportunities for improvement of PEA.