论公司的环境责任

现代公司在以营利最大化为目标的前提下,必须承担一定的环境责任。公司承担环境责任与其营利性从长期看是互相促进的,但从短期看可能是相互冲突的。从公司的经济力量、公司作为社会之一员、环境问题的严重性、社区居民环境利益分析,承担环境责任是现代公司不可回避的义务。我国应建立健全公司承担环境责任的机制,强化公司的环境责任。     

聚丙烯车间12m3釜聚合岗危险分析及安全措施

聚合岗位是石油化工厂聚丙烯车间重要且非常危险的岗位,一旦发生意外事故,将会导致人员的重大伤亡和巨大的经济损失。笔者依据聚丙烯车间生产现状,详细地介绍了12m3 釜聚合岗位工艺流程,用“系统安全”的理论和方法对其主要物质、生产工艺、操作过程的危险性进行了辨识,且绘制了主要危险点分布图;通过危险源辨识可知,聚合釜具有的超温、超压特点是该岗位众多危险源中最为严重的潜在危险,应用“事故树法”对聚合釜超温、超压爆炸事故进行了危险分析,找出其爆炸潜在的危险因素有2 4种,该事故树的最小割集共有6 6个,表明聚合釜爆炸可能性是很大的。依据分析结果,针对聚合釜爆炸可能性最大的危险因素,提出了安全对策与措施,以避免或减少爆炸事故的发生     

移动通信信息系统安全风险评估研究

为了保障移动通信信息系统的安全,制定有效的、可操作性的、科学的安全风险评估体系是当务之急。通过对国内外移动通信信息系统安全风险评估研究的现状,结合其他行业诸如铁路系统、地理信息系统等的信息安全风险评估的经验,笔者首先从一个移动通信信息安全系统风险评估的基本概念入手,给出了诸如风险、脆弱性、威胁、残余风险等一系列定义,提出了移动通信信息系统安全风险评估工作的模型和方案,以及风险评估工作中应该考虑的要素和工作细节,旨在为风险评估工作提供理论指导,使风险评估的过程和结果更具有逻辑性、系统性和可操作性,从而提高风险评估的质量和效果。实践证明了模型和方案是行之有效的。     

Literary and economic impact of the Bhopal gas tragedy

The 1984 Bhopal disaster is widely regarded as a watershed event in the field of process-safety and has been largely responsible for a paradigm shift in the outlook of both industry and the public towards risk management within the processing industries. The Bhopal disaster has led to increased regulations and awareness for process-safety related activities across the globe. This paper reports the effect of the infamous Bhopal incident on the research community and examines the performance of manufacturing industries following the disaster.

For this paper, databases of scientific publications were used to investigate research trends in the safety area following the 1984 Bhopal disaster. Our analysis focuses on prominent safety-related research fields that have emerged following the gas tragedy as well as economic indicators of the processing industries. The study reveals that the process industry has consistently progressed over the years, in spite of added regulations and a worsened public image following the Bhopal disaster, and promises to be a stable economy in the future.     

Pesticide Impact Rating Index – A Pesticide Risk Indicator for Water Quality

Pesticide users, natural resource managers, regulators, government agencies and many others are concerned about the off-site impact of pesticides on the environment. Systematic methods of the assessment of potential risk of pesticides to environmental components can serve as valuable tools in decision making and policy formulation. Simple risk indicators have been developed which cover a range of scenarios such as toxicity to organisms, health of farm workers, consumer health, and residues in harvested produce. The authors have developed a software package named Pesticide Impact Rating Index (PIRI) that outputs an improved pesticide risk indicator for water quality. PIRI is a standalone, user-friendly, platform-independent program. It can be used to (i) rank pesticides in terms of their relative pollution potential to groundwater or surface water, and (ii) to compare different land uses in a catchment or at a regional scale in terms of their relative impact on water quality. It is based on pesticides use; the pathway through which the pesticides are released to the water resources (drift, runoff, erosion, leaching) and the value of the water resources threatened. Each component is quantified using pesticide characteristics (including toxicity to organisms at different trophic levels, i.e. fish, daphnia, algae, etc.), environmental and site conditions (e.g. organic carbon content of soil, water input, slope of land, soil loss, recharge rate, depth of water table, etc.). This paper describes two case studies of the application of PIRI in Australia. The comparison of the risk assessment by PIRI on these revealed that PIRI correctly estimated the pollution potential of pesticides in greater than 80% of cases. A GIS version of PIRI is described in a companion paper in this volume. An erratum to this article is available at .     

ARE RURAL RESIDENTS WILLING TO PAY ENOUGH TO IMPROVE DRINKING WATER QUALITY?1

ABSTRACT: The concentrations of iron and sulfate in community water supplies are a concern for a number of areas in southwestern Minnesota. This study used the contingent valuation method to determine how much consumers would be willing to pay to improve their drinking water quality. On average, individuals were willing to pay US$5.25 per month (in 1995 U.S. dollars) to reduce the level of iron and US$4.33 per month to reduce the level of sulfate in their water to the USEPA's secondary standards for drinking water quality. Respondents with negative perceptions of their drinking water quality were willing to pay more to improve water quality. The aggregate annual willingness to pay (WTP) for all consumers in community water systems in southwestern Minnesota that were out of compliance with water quality standards were estimated to be US$2.4 million and US$2.0 million (in 1995 dollars) for reducing the levels of iron and sulfate, respectively. Yet the total WTP of consumers who use small community water systems may not be enough to pay the full cost of providing improved water in those systems. Economies of scale in water treatment and difficulties in financing improvements mean that technical innovation, government assistance, or institutional changes may be needed to improve water quality in these areas.     

Sustainable pattern analysis of a publicly owned Material Recovery Facility in a fast-growing urban setting under uncertainty

Sustainable development goals are achievable through the installation of Material Recovery Facilities (MRFs) in certain solid waste management systems, especially those in rapidly expanding multi-district urban areas. MRFs are a cost-effective alternative when curbside recycling does not demonstrate long-term success. Previous capacity planning uses mixed integer programming optimization for the urban center of the city of San Antonio, Texas to establish that a publicly owned material recovery facility is preferable to a privatized facility. As a companion study, this analysis demonstrates that a MRF alleviates economic, political, and social pressures facing solid waste management under uncertainty. It explores the impact of uncertainty in decision alternatives in an urban environmental system. From this unique angle, waste generation, incidence of recyclables in the waste stream, routing distances, recycling participation, and other planning components are taken as intervals to expand upon previous deterministic integer-programming models. The information incorporated into the optimization objectives includes economic impacts for recycling income and cost components in waste management. The constraint set consists of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening restrictions. Due to the fragmented data set, a grey integer programming modeling approach quantifies the consequences of inexact information as it propagates through the final solutions in the optimization process. The grey algorithm screens optimal shipping patterns and an ideal MRF location and capacity. Two case settings compare MRF selection policies where optimal solutions exemplify the value of grey programming in the context of integrated solid waste management.     

Selection of failure frequency and its impact on risk assessment – A case study from plot plan optimisation

Facility Siting is an important phase of project development. A critical stage is plot plan optimisation, where significant potential hazards are eliminated due to equipment spacing. In addition to ensuring appropriate compliance with minimum spacing requirements, occupied building studies to achieve compliance with the requirements of API 752 and API 753 could also be undertaken to optimise safety outcomes. The studies are done in three stages, where the first stage is hazard identification, second stage is consequence assessment and the third stage is risk assessment. Third stage assessments are only carried, if the consequence based siting recommendations are not practical to implement.This paper presents the challenges in estimating risk due to process hazards with a focus on selecting right event likelihood data. A comparison is presented on the variation in predicted risk levels based on equipment failure rates and leak frequencies.Case study of a plot plan optimisation study is undertaken with DNVGL Phast Risk and the variation in risk levels up to two orders of magnitude are recorded. Challenges such as adaption of data for local conditions, consistent definitions of failure, sample size of data, applicability of data play a significant role in identifying and correctly quantifying the risk levels. Such challenges and its impact on risk quantification are presented in this paper as well as its impact on facility siting.     

基于BDD考虑共因失效的接触网系统可靠性分析

为分析共因失效对高速铁路接触网系统的影响，将二元决策图(Binary Decision Diagram，BDD)与共因失效理论引入到接触网系统可靠性分析中。利用逻辑相邻优先组合法(Logic Neighbor Priority Connect，LNPC)将高速铁路接触网系统的故障树模型转化为BDD模型并求取其可靠度表达式，利用隐式方法对考虑了共因失效的接触网系统可靠度进行计算，利用MATLAB绘制考虑共因失效和不考虑共因失效情况下接触网系统可靠度变化曲线。研究结果表明:提出的分析方法适用于接触网系统的可靠性分析，为接触网系统的可靠性分析提供了一定的理论依据。     

When and how to use Q methodology to understand perspectives in conservation research

Understanding human perspectives is critical in a range of conservation contexts, for example, in overcoming conflicts or developing projects that are acceptable to relevant stakeholders. The Q methodology is a unique semiquantitative technique used to explore human perspectives. It has been applied for decades in other disciplines and recently gained traction in conservation. This paper helps researchers assess when Q is useful for a given conservation question and what its use involves. To do so, we explained the steps necessary to conduct a Q study, from the research design to the interpretation of results. We provided recommendations to minimize biases in conducting a Q study, which can affect mostly when designing the study and collecting the data. We conducted a structured literature review of 52 studies to examine in what empirical conservation contexts Q has been used. Most studies were subnational or national cases, but some also address multinational or global questions. We found that Q has been applied to 4 broad types of conservation goals: addressing conflict, devising management alternatives, understanding policy acceptability, and critically reflecting on the values that implicitly influence research and practice. Through these applications, researchers found hidden views, understood opinions in depth and discovered points of consensus that facilitated unlocking difficult disagreements. The Q methodology has a clear procedure but is also flexible, allowing researchers explore long‐term views, or views about items other than statements, such as landscape images. We also found some inconsistencies in applying and, mainly, in reporting Q studies, whereby it was not possible to fully understand how the research was conducted or why some atypical research decisions had been taken in some studies. Accordingly, we suggest a reporting checklist.