A review of criteria for evaluating natural areas

Environmental Management - Methods for evaluating natural areas have evolved in the last couple of decades to assess the importance of natural areas for the purposes of land-use planning,...     

Evaluating the speed camera sites selection criteria in the UK

Introduction: Speed cameras have been implemented to improve road safety over recent decades in the UK. Although the safety impacts of the speed camera have been estimated thoroughly, the criteria for selecting camera sites have rarely been studied. This paper evaluates the current speed camera sites selection criteria in the UK based on safety performance. Method: A total of 332 speed cameras and 2,513 control sites with road traffic accident data are observed from 2002 to 2010. Propensity score matching method and empirical Bayes method are employed and compared to estimate the safety effects of speed cameras under different scenarios. Results: First, the main characteristics of speed cameras meeting and not meeting the selection criteria are identified. The results indicate that the proximity to school zones and residential neighborhoods, as well as population density, are the main considerations when selecting speed camera sites. Then the official criteria used for selecting camera sites are evaluated, including site length (a stretch of road that has a fixed speed camera or has had one in the past), previous accident history, and risk value (a numerical scale of the risk level). The results suggest that a site length of 500 m should be used to achieve the optimum safety effects of speed cameras. Furthermore, speed cameras are most effective in reducing crashes when the requirement of minimum number of historical killed and seriously injured collisions (KSIs) is met. In terms of the risk value, it is found that the speed cameras can obtain optimal effectiveness with a risk value greater than or equal to 30, rather than the recommended risk value of 22.     

On the use of criteria based on the SMART acronym to assess quality of performance indicators for safety management in process industries

Management of safety, and barriers in particular, includes using information expressing performance, i.e. use of safety performance indicators. For this information to be useful, the indicators should demonstrate adequate quality. In other words, they should satisfy some predefined set of quality criteria. Without showing adequate quality, the indicators are generally unable to provide sufficient support for barrier management, which could result in poor decisions. In this article, the use of the SMART criteria is considered to assess the quality of safety performance indicators in process industries. SMART being an acronym for ‘specificity’, ‘measurability’ or ‘manageability’, ‘achievability’, ‘relevancy’ and ‘time-based’, covering five key aspects and criteria for assessing the quality of an indicator. A discussion on whether the indicators are able to demonstrate adequate quality by satisfying these criteria has been conducted. The finding is that all of the SMART criteria should be satisfied for a safety performance indicator to demonstrate acceptable quality and to be regarded as useful to support barrier management decision-making. However, it has also been observed that including the ‘M’ criterion in the assessment of quality is not needed. When all the other criteria are satisfied there is no way the conclusions could be misleading as a result of measurability or manageability aspects. Hence, for safety performance indicator quality, only four of the criteria are assessed and suggested for such situations to shorten the acronym to ‘STAR’. A key safety indicator used in downstream process facilities, i.e. ‘dangerous fluid overfilling events’, motivated from the 2005 Texas City refinery accident, is used to illustrate the situation. The indicator is also applied to another incident, the Buncefield oil storage depot's accident in 2005, to provide a broader context for using it. The findings in this article could also be applied beyond the context studied. This means that, despite focusing on safety indicators in the process industries, the findings are considered as relevant and applicable to other types of performance indicators and to other energy industries.     

Major air pollutants in Bursa,Turkey: their levels,temporal changes,interactions, and sources

Bursa is one of the largest cities of Turkey and it hosts 17 organized industrial zones. Parallel to the increase in population, rapidly growing energy consumption, and increased numbers of transport vehicles have impacts on the air quality of the city. In this study, regularly calibrated automatic samplers were employed to get the levels of air pollution in Bursa. The concentrations of CH₄ and N-CH₄ as well as the major air pollutants including PM₁₀, PM_2.5, NO, NO₂, NO_x, SO₂, CO, and O₃, were determined for 2016 and 2017 calendar years. Their levels were 1641.62?±?718.25, 33.11?±?5.45, 42.10?±?10.09, 26.41?±?9.01, 19.47?±?16.51, 46.73?±?16.56, 66.23?±?32.265, 7.60?±?3.43, 659.397?±?192.73, and 51.92?±?25.63 µg/m³ for 2016, respectively. Except for O₃, seasonal concentrations were higher in winter and autumn for both years. O₃, CO, and SO₂ had never exceeded the limit values specified in the regulations yet PM₁₀, PM_2.5, and NO₂ had violated the limits in some days. The ratios of CO/NO_x, SO₂/NO_x, and PM_2.5/PM₁₀ were examined to characterize the emission sources. Generally, domestic and industrial emissions were dominated in the fall and winter seasons, yet traffic emissions were effective in spring and summer seasons. As a result of the correlation process between O_x and NO_x, it was concluded that the most important source of O_x concentrations in winter was NO_x and O₃ was in summer.     

美国制定水质基准的方法概要

水质基准保护对象不同可分为保护水生生物的水质基准和保护人体健康的水质基准。概要介绍了美国推导这两种水质基准的方法及其数据要求。     

我国水质基准现状及发展趋势研究

水质基准是制定水质标准限值的重要依据,是科学的水质管理体系的重要组成部分。我国水体污染形势严峻,区域环境差异明显,亟需建立适合我国水环境特征的水质基准作为水质控制和管理的理论依据。文章对我国水质基准的概况、水质基准方法学、水质基准研究进展、存在问题及发展趋势进行了系统论述,以期为我国水质基准的研究提供参考与支撑。     

Preparation and Validation of Gridded Emission Inventory of Criteria Air Pollutants and Identification of Emission Hotspots for Megacity Delhi

Delhi is one of the many megacities struggling with punishing levels of pollution from industrial, residential, and transportation sources. Over the years, pollution abatement in Delhi has become an important constituent of state policies. In the past one decade a lot of policies and regulations have been implemented which have had a noticeable effect on pollution levels. In this context, air quality models provide a powerful tool to study the impact of development plans on the expected air pollution levels and thus aid the regulating and planning authorities in decision-making process. In air quality modeling, emissions in the modeling domain at regular interval are one of the most important inputs. From the annual emission data of over a decade (1990–2000), emission inventory is prepared for the megacity Delhi. Four criteria pollutants namely, CO, SO₂, PM, and NO _x are considered and a gridded emission inventory over Delhi has been prepared taking into account land use pattern, population density, traffic density, industrial areas, etc. A top down approach is used for this purpose. Emission isopleths are drawn and annual emission patterns are discussed mainly for the years 1990, 1996 and 2000. Primary and secondary areas of emission hotspots are identified and emission variations discussed during the study period. Validation of estimated values is desired from the available data. There is a direct relationship of pollution levels and emission strength in a given area. Hence, an attempt has been made to validate the emission inventory for all criteria pollutants by analyzing emissions in various sampling zones with the ambient pollution levels. For validation purpose, the geographical region encompassing the study area (Delhi) has been divided into seven emission zones as per the air quality monitoring stations using Voronoi polygon concept. Dispersion modeling is also used for continuous elevated sources to have the contributing emissions at the ground level to facilitate validation. A good correlation between emission estimates and concentration has been found. Correlation coefficient of 0.82, 0.77, 0.58 and 0.68 for CO, SO₂, PM and NO _x respectively shows a reasonably satisfactory performance of the present estimates.     

中国光环境质量管理体系研究

介绍了光环境及光污染的特点、危害,并对我国现行的光环境管理标准和技术规范进行了研究,在分析美国、英国等光环境管理体系的基础上对我国光环境管理体系中的标准和技术规范构建的必要性和原则进行了探讨,并提出了存在的问题和建议,以期为今后的光环境管理体系的完善提供一定的参考。     

韩国地表水水质标准研究与启示

韩国现行地表水水质标准由保护人体健康的水质标准和保护生态环境的水质标准两部分组成。采用风险评价的方法制定有毒物质的水质标准,并根据美国EPA推导环境水质基准的公式,对制定水质基准的方法进行了改进。韩国环境部计划于2015年将水质标准扩展到30种化学物质,同时将推导得出的生态风险基准纳入水质标准,旨在推进我国地表水水质标准的制订与完善。     

Propagation Characteristics of Gas Explosion in Linked Vessels Based on DDT Criteria

To study the occurrence conditions and propagation characteristics of deflagration to detonation transition (DDT) in linked vessels, two typical linked vessels were investigated in this study. The DDT of the methane–air mixture under different pipe lengths and inner diameters was studied. Results showed that the CJ detonation pressure of the methane–air mixture was 1.86 MPa, and the CJ detonation velocity was 1987.4 m/s. Compared with a single pipe, the induced distance of DDT is relatively short in the linked vessels. With the increase in pipeline length, DDT is more likely to occur. Under the same pipe diameter, the DDT induction distance in the vessel–pipe–vessel structure is shorter than that in the vessel–pipe structure. With the increase in pipeline diameter, the length of the pipe required to form the DDT is reduced. For linked vessels in which detonation formed, four stages, namely, slow combustion, deflagration, deflagration to detonation, and stable detonation, occurred in the vessels. Moreover, for a pipe diameter of 60 mm and a length of 8 m, overdriven detonation occurred in the vessel–pipe–vessel structure.