环境监测数据质量的影响因素与改进措施研究

提高环境监测数据公信力和权威性,可促进环境管理水平提升、加快推进生态文明建设,对打赢污染防治攻坚战、推动经济社会高质量发展都具有重要意义。本文通过环境监测分布点、采样质量、环境监测仪器、环境监测测试分析方法及环境监测工作人员等几方面因素分析对监测数据质量的影响,根据在实际工作中出现的情况,提出了相应的、有针对性的改进措施,主要从环境监测点位的确定应科学合理、加强实验材料及实验设备的管理、样品的采集与保存应规范明确、环境监测质量分析方法应充分合理及综合提高环境监测工作人员的综合素质等方面进行了阐述。     

Energy Efficiency and Emissions Reduction Potential of China＇s Industrial Sector

Based on the total-factor energy efficiency framework,this paper calculates China’s industrial energy efficiency and CO2 emissions reduction potential from 2000 to 2009 by utilizing the directional distance function and data envelopment analysis.The empirical results show that:China’s industrial overall energy efficiency is relatively lower while the emis-sions reduction potential is relatively greater,given the optimum production frontier.Significant indus-trial disparities of energy efficiency and emissions reduction potential exist.Energy efficiency and emis-sions reduction potential significantly show different tendencies of industrial dynamic variation.This paper suggests the Chinese government impose differential carbon taxes,flexibly utilize carbon market mecha-nism,strengthen energy-saving technological R&D,promote the utilization of renewable energy,and strengthen environmental supervision and regulation,so as to improve China’s industrial energy efficiency and reduce CO2 emissions.     

考虑环境因素的资源型城市转型效率分析——基于DEA方法和面板数据

当前资源型城市成功转型已成为构建和谐社会、实践科学发展观的关键问题，而对资源型城市当前转型状况的正确评价是制定资源型城市转型战略的基础，同时相对普通城市污染更为严重的资源型城市在转型过程中更应注重环境保护问题。运用数据包络分析方法结合熵值法对2000～2007年21个地级资源型城市转型效率进行分析，其中熵值法的运用是将“工业六废”统一转换为环境污染指数作为DEA模型的产出指标。分析结果表明：我国资源型城市转型效率基本呈上升趋势，分区域分析东部资源型城市转型效率最高，西部其次，中部最低，根据资源型城市类型分析，黑色金属加工类资源型城市转型效率最高     

新时期生态环境监测数据产品内涵和发展建议

简述了新时期环境监测数据产品内涵,分析了当前数据产品在信息化程度、深度开发、数据质量和信息公开等方面存在的问题;提出,要不断提高数据产品的信息化水平,推进其深度开发,要立足于服务社会和管控需求,加强数据产品可追溯能力建设,针对现各部门存在的"数据孤岛"问题,增强各部门间监测数据的可比性,推进区域污染物排放、空气环境质量、水环境质量等信息公开,为政府决策提供准确的技术支持,为公众、企业提供优质服务。     

Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects

Objective: Most of the extensive research dedicated to identifying the influential factors of hit-and-run (HR) crashes has utilized typical maximum likelihood estimation binary logit models, and none have employed real-time traffic data. To fill this gap, this study focused on investigating factors contributing to HR crashes, as well as the severity levels of HR.

Methods: This study analyzed 4-year crash and real-time loop detector data by employing hierarchical Bayesian models with random effects within a sequential logit structure. In addition to evaluation of the impact of random effects on model fitness and complexity, the prediction capability of the models was examined. Stepwise incremental sensitivity and specificity were calculated and receiver operating characteristic (ROC) curves were utilized to graphically illustrate the predictive performance of the model.

Results: Among the real-time flow variables, the average occupancy and speed from the upstream detector were observed to be positively correlated with HR crash possibility. The average upstream speed and speed difference between upstream and downstream speeds were correlated with the occurrence of severe HR crashes. In addition to real-time factors, other variables found influential for HR and severe HR crashes were length of segment, adverse weather conditions, dark lighting conditions with malfunctioning street lights, driving under the influence of alcohol, width of inner shoulder, and nighttime.

Conclusions: This study suggests the potential traffic conditions of HR and severe HR occurrence, which refer to relatively congested upstream traffic conditions with high upstream speed and significant speed deviations on long segments. The above findings suggest that traffic enforcement should be directed toward mitigating risky driving under the aforementioned traffic conditions. Moreover, enforcement agencies may employ alcohol checkpoints to counter driving under the influence (DUI) at night. With regard to engineering improvements, wider inner shoulders may be constructed to potentially reduce HR cases and street lights should be installed and maintained in working condition to make roads less prone to such crashes.     

卫星遥感数据在林火排放模型中的应用

火对大气中的温室气体和气溶胶的增加有显著影响,也是植被的一个主要干扰因子.利用精确卫星火产品对中国林火排放量进行量化计算,对于制定正确的减排战略具有参考意义.采用GBA2000的研究结果,分析了不同植被区的过火区分布情况.2000年中国林地上共有8 587个过火斑块,总面积为10 773 212 hm2,其中阔叶落叶林过火面积最大,为3 674 404 hm2;其次为阔叶常绿林,过火面积为1 141 402 hm2.林火排放计算模型采用各植被带平均生物量和燃烧系数估计火烧消耗的生物量和计算森林燃烧释放的温室气体量.我国2000年林火释放CO2 688 Tg,CO和CH4分别为57 Tg和4 Tg.计算精度取决于森林火灾面积、土地类型图、燃烧效率和排放因子.由于采用的卫星火产品没有对中国区域进行精度评估,据此统计的森林过火区有误差.如果采用更精确的卫星遥感数据,将提高林火释放模型的计算精度.     

采油厂生产巡检在线信息管理系统

介绍了采油厂生产巡检在线信息管理系统的依托技术、管理网络、硬件构成、软件组成、试验情况和应用效果.该系统依托GPS和GIS等技术,采用了B/S结构、JAVA/JSP技术,能够准确及时显示巡检员的巡检路径,巡检结果从网上数据报表和电子地图及时看到,实现了实时监控,保障了油(水)井安全生产.     

浅析进口原油安全技术说明书

以原油这一具有危险品属性的战略物资作为研究对象,分析各国对原油进行MSDS登记的现状,对多种进口原油安全技术说明书进行分类归纳.介绍各国在危险品分类、健康环保、职业防护等多方面开展的工作,对照比较国内相应法规和标准体系,以期对我国石油产品安全技术说明书的编写工作有所助益.对进口原油中的有害物质组分依照职业卫生标准,进行了归纳,实现健康危险限值的快速核定.为我国进一步推行GHS制度,完善构建合理的危险化学品管理、法规、执行体系,在安全技术说观书这一领域提出相关建议.     

小型岸边站技术在水质自动监测中稳定性和可靠性分析

以苏州河水质自动监测岸边站为例,根据近3年实际运行情况,从实样验收比对、连续运行比对等方面系统比较自动监测和实验室分析数据,深入探讨小型岸边站技术的稳定性和可靠性。结果表明:岸边站在线监测数据总体较为稳定,水温、溶解氧、p H、氨氮等监测结果和变化规律与实验室数据具有较好的相关性和一致性,其中,水温、p H、氨氮等指标均不存在明显差异,苏州河水质自动在线岸边站测定的数据真实可靠。加强自动站运维管理等可以进一步提高自动站数据质量。     

公路突发交通事件应急资源配置效率研究*

为合理有效配置公路突发事件下的应急资源，从资源投入与产出角度建立3级评价指标体系，在此基础上将应急资源投入与产出比作为目标函数，引入数据包络分析法构建应急资源配置效率模型，采用TOPSIS法对应急资源配置方案效率进行排序。以新疆10个公路局应急资源配置效率为例，分析其资源投入与产出的冗余度，并对有效决策单元进行排序。结果表明:该模型能获得应急资源配置冗余度，并对其进行资源配置效率分析，从而为公路局进行有效资源配置提供参考。