The Environmental Impact of Expositions: A Study of Some Contributing Factors

Since the Great Exhibition of 1851, the exhibition industry has grown steadily in significance. As a result, this thesis argues that associated large environmental impacts have emerged invisibly. Because they are invisible, these impacts have not been paid adequate attention. Few relevant studies have attempted to investigate the consequence of the impacts of expositions and especially current “sustainable” expositions. This thesis investigates the whole life cycle energy use, carbon footprint and ecological footprint of large-scale exhibitions in terms of the contributing factors, including exhibition buildings, visitor-related transportation, and exhibition-related economic aspects. The aim of this research is to determine, within this scope, the environmental impact of large-scale exhibitions and define what a real sustainable exposition and sustainable exhibition building might be. More specially, it creates an appropriate and specific methodology for assessing the environmental impacts generated from exhibition-related factors. A mixed methods research approach through integration of Life Cycle Analysis and Ecological Footprint Analysis is used. This is to account for whole life cycle energy and resource use and the resulting environmental impacts generated from exhibition buildings (over the construction, operation, maintenance, and demolition phases), different transport modes for visitor travel, and the exhibition-related economic aspect of four case studies. These are the Great Exhibition of 1851 in London, the National Exhibition in Shanghai, Expo 2000 in Hannover, and Expo 2010 in Shanghai. The results of comparative analysis confirm that the total energy and resource consumption of large-scale exhibitions is increasing. The exhibition-related economic aspects consumed most energy and resources, and these rise in relation to the number of visitors, especially visitors from outside the host city. For visitor travel, the choice of visitor transport modes can significantly affect the overall environmental impact. Foreign visitors going to expos by airplane lead to more energy usage than the average travel energy consumption for an expo. For local travelling, using public transport modes can effectively help to reduce energy and resource usage in host cities. For buildings, using the hightech approach currently does little to mitigate the energy and resource usage of large expo pavilions. Due to the short useful life, current sustainable exhibition buildings do not perform as well as their designers imagined. Therefore, the energy flow of sustainable exhibition buildings as influenced by actual useful life needs to be paid more attention in the process of environmental assessment. Furthermore, it is proposed that the assessment method developed in this research can be used to evaluate the impacts of large-scale events, similar to expositions, on the environment in terms of their energy and resource consumption. The results suggest that the analysis boundary for assessment of event-related environmental impacts needs to be the “whole life cycle” and it needs to be broadened for the environmental assessment of large-scale exhibitions to include not just exhibition buildings, but visitor travel (local and international travel), and event-related economic aspects

Study on the application of oligomers in paper reinforcement protection

In order to improve the strength of paper, solve the problem of poor permeability of traditional resins to paper, the low molecular weight hexamethylenediisocyanate (HDI) trimer was investigated, and the chemical and physical properties of paper samples were tested in this work. Results showed the paper treated by HDI trimer had good mechanical property, the tensile strength was increased from 1105 to 4151 N/m, the folding endurance was increased from 20.8 to 275; and had good glossiness and brightness. Therefore, the prepared HDI trimer has great application prospects in the protection of paper

Wasserstein Generative Regression

In this paper, we propose a new and unified approach for nonparametric regression and conditional distribution learning. Our approach simultaneously estimates a regression function and a conditional generator using a generative learning framework, where a conditional generator is a function that can generate samples from a conditional distribution. The main idea is to estimate a conditional generator that satisfies the constraint that it produces a good regression function estimator. We use deep neural networks to model the conditional generator. Our approach can handle problems with multivariate outcomes and covariates, and can be used to construct prediction intervals. We provide theoretical guarantees by deriving non-asymptotic error bounds and the distributional consistency of our approach under suitable assumptions. We also perform numerical experiments with simulated and real data to demonstrate the effectiveness and superiority of our approach over some existing approaches in various scenarios.Comment: 50 pages, including appendix. 5 figures and 6 tables in the main text. 1 figure and 7 tables in the appendi

Indoor Particulate Matter Transfer in CNC Machining Workshop and The Influence of Ventilation Strategies—A Case Study

Particulate matter in Computer Numerical Control (CNC) machining workshop is harmful to workers’ health. This paper studies particulate matter transfer and the performance of various ventilation strategies in a CNC machining workshop. To obtain the boundary condition of the particle field, instruments were installed to obtain the particle size attenuation characteristics and source strength, respectively. The results show that the 99% cumulative mass concentration of particles is distributed within 1.5 μm, and the release rate of particles from the full enclosure. Next, the indoor flow field and particle field were simulated by numerical simulation with the measured boundary conditions. The working area’s age of air, particle concentration, and ventilation efficiency were compared between four displacement ventilation methods and one mixed ventilation method. The results show that the working area’s mean particle concentration and ventilation efficiency under longitudinal displacement ventilation is better than other methods. At the same time, the mean age of air is slightly worse. In addition, mixed ventilation can obtain lower mean age of air, but the particle concentration is higher in the working area. The bilateral longitudinal ventilation can be improved by placing axial circulation fans with vertical upward outlets in the center of the workshop