日本、韩国的土壤污染防治法及其对我国的借鉴

在东亚地区,日本、韩国的土壤污染防治立法最为活跃,先后制定了专门的土壤污染防治法及其配套法规.本文从立法背景、立法模式、主要内容及制度设置、土壤污染防治的管理体制等方面,对日本、韩国的土壤污染防治立法进行了比较分析.这些立法实践及其施行经验,对我国正在进行的土壤污染防治立法有实际借鉴意义.     

生态环境空间分级管控策略研究

生态环境空间分级管控是为了确保各级尺度下的生态环境空间充分发挥其生态服务功能所采取的管理控制手段与途径,同时给城市生态环境空间的管控提供依据,在不同尺度下,生态环境空间需按照不同精细度的管控方法和不同的土地空间单位进行分级,生态环境空间分级管控主要包括:省域尺度生态环境空间的管控、市域尺度生态环境空间管控和在主城区尺度下生态环境空间管控。通过3种尺度不同管控方法和策略的有效衔接,从宏观、中观和微观3个层次保证了生态规划的完整性和连续性,使生态系统服务真正发挥其价值。     

主观性在环境侵权案件证据和证明中的作用研究

法院在审理环境侵权案件时,往往依赖于专业鉴定、行政标准、专家意见等等客观依据来确定案件事实.但因为环境问题的复杂性,以及民事主体自身举证能力的限制,经常出现双方举证均不充分,法院无法基于现有事实和证据得出结论的情况.此时,法官应当发挥自身能动性,主动应用主观的、甚至是非科学性的因素和手段,包括容忍义务、经验法则、自由心证等等,这些因素无法被赋予客观的标准,它需要法官基于自身的理性以及经验,结合社会一般观念、习惯等因素进行判断.     

A method for simplifying the analysis of traffic accidents injury severity on two-lane highways using Bayesian networks

Introduction

This study describes a method for reducing the number of variables frequently considered in modeling the severity of traffic accidents. The method's efficiency is assessed by constructing Bayesian networks (BN).

Method

It is based on a two stage selection process. Several variable selection algorithms, commonly used in data mining, are applied in order to select subsets of variables. BNs are built using the selected subsets and their performance is compared with the original BN (with all the variables) using five indicators. The BNs that improve the indicators’ values are further analyzed for identifying the most significant variables (accident type, age, atmospheric factors, gender, lighting, number of injured, and occupant involved). A new BN is built using these variables, where the results of the indicators indicate, in most of the cases, a statistically significant improvement with respect to the original BN.

Conclusions

It is possible to reduce the number of variables used to model traffic accidents injury severity through BNs without reducing the performance of the model.

Impact on Industry

The study provides the safety analysts a methodology that could be used to minimize the number of variables used in order to determine efficiently the injury severity of traffic accidents without reducing the performance of the model.     

基于模糊逻辑系统的管道风险评估

为了合理地对管道风险进行评估,提出了一种基于模糊逻辑系统的管道风险评估方法.根据模糊逻辑系统的基本原理,建立了管道风险评估的模糊逻辑方法模型,根据模糊风险矩阵及模糊规则库等理论研究成果,对管道风险进行模糊推理,并得出给定管道系统的模糊风险指标值.以某段天然气管道的风险评估为实例,证实该方法能够合理地评估出给定管道系统的...     

Using classification trees to analyze the impact of exotic species on the ecological assessment of polder lakes in Flanders, Belgium

Polder lakes in Flanders are stagnant waters that were flooded by the sea in the past. Several of these systems are colonized by exotic species, but have hardly been studied until present. The aim of the present study was: (1) to assess the influence of exotic macrobenthic species on the outcome of the Multimetric Macroinvertebrate Index Flanders (MMIF) and (2) to use classification trees for evaluating to what extent physical-chemical characteristics affect the presence of exotic species.In total, 27 mollusc and 10 macro-crustacean species were present in the monitored lakes of which respectively five and four were exotic. The exclusion of the exotic species from the MMIF resulted in a significant decline of this ecological index (−0.03 ± 0.04; p = 0.00). This elimination often resulted into a lower ecological water quality class and more samples were classified into the bad and poor ecological water quality classes.Single-target classification trees for Gammarus tigrinus and Potamopyrgus antipodarum were constructed, relating environmental parameters and ecological status (MMIF) to the occurrence of both exotic invasive species. The major advantages of using single-target classification trees are the transparency of the rule sets and the possibility to use relatively small datasets. However, this classification technique only predicts a single-target attribute and the trees of the different species are often hard to integrate and use for water managers. As a solution, a multi-target approach was used in the present study. Exotic molluscs and crustaceans communities were modelled based on environmental parameters and the ecological status (MMIF) using multi-target classification trees. Multi-target classification trees can be used in management planning and investment decisions as they can lead to integrated decisions for the whole set of exotic species and avoid the construction of many models for each individual species. These trees provide general insights concerning the occurrence patterns of individual crustaceans and molluscs in an integrated way.     

地铁施工灾害关键警兆监测指标研究

为实现地铁施工灾害警兆的实时监测和重点跟踪,预防和减少地铁施工灾害的发生,应用WBS-RBS及关联规则对地铁施工灾害关键警兆监测指标进行科学选取。通过分析以往地铁施工事故,针对基坑工程采用WBS-RBS方法,全面识别施工过程中的风险源,并运用基坑工程警兆监测指标关联规则模型对"地墙渗漏"警兆的20组样本数据进行计算分析,得到警兆与监测指标的频繁项集,从而甄选出关键警兆监测指标。结果表明,由于关联规则的存在,当警兆监测指标组合中某个指标超过阈值时,组合中可能存在其他指标同时超过其指标阈值,因此这时应加强对其他指标的监测。     

Assessment of nitrogen leaching from arable land in large river basins: Part II: regionalisation using fuzzy rule based modelling

This study deals with fuzzy rule based modelling of nitrogen (N)-leaching from arable land. Main purpose is the elaboration of a method, which allows dynamical regionalisation of results from process-based models for large regions and can be efficiently included in metamodels or decision support systems for rapid integrated assessment of water resources. The paper is the second part of a two-part paper. In the first paper the distributed ecohydrological model SWIM had been applied to calculate and analyse nitrogen dynamics in arable soils for a set of representative natural and management conditions in the Saale River basin (Ecol. Model. (in press)). Here, in the second paper the results from those simulation experiments are used to define, train and validate fuzzy rule systems for the estimation of N-leaching. Nine fuzzy rule systems, specific for nine soil classes, were created from the simulation experiments, representing the conditions for the whole Saale River basin. The fuzzy rule systems operate on monthly time steps and consist of 15 rules and seven input variables each, which are compiled from time series of precipitation, percolation and evapotranspiration as well as from information about fertilizer and crop specific nitrogen uptake. Simulated annealing as a non-linear discrete optimisation method is used for automatic rule assessment. Validation of the fuzzy rule systems, carried out by split sampling of 30-year simulation period, shows satisfactory performance on an annual basis and good performance on the long-term basis with average correlation between SWIM-simulated and fuzzy rule-estimated N-leaching values of 0.78 and 0.94, respectively.     

基于模糊规则和BFS算法的行人疏散模型研究*

为建立更加真实的行人疏散模型,基于模糊规则和广度优先搜索（BFS）算法,利用元胞自动机,提出1种优化的行人疏散模型。引入动态模糊速度规则,建立移动速度与周边环境的模糊对应关系,从而模拟行人在不同环境下的运动速度;通过设定危险度规则,使用基于双端队列的BFS算法快速计算每个格子距离安全出口的“静态危险度”,并与出口处人群密度的“动态危险度”耦合,使元胞自发地向“总危险度”更低的方向移动;结合动态速度规则建立1种基于排队理论的出口疏散机制。结果表明:所建模型能够再现行人流自组织现象,真实地反应行人不同的移动方式以及疏散的具体过程;模型考虑了出口排队疏散机制对疏散时间的影响,使疏散效率得到提高,为行人疏散模型的建立以及公共场所的设施布局等应急疏散预案提供有效参考。     

Risk factors affecting crash injury severity for different groups of e-bike riders: A classification tree-based logistic regression model

IntroductionAs a convenient and affordable means of transportation, the e-bike is widely used by different age rider groups and for different travel purposes. The underlying reasons for e-bike riders suffering from severe injury may be different in each case.MethodThis study aims to examine the underlying risk factors of severe injury for different groups of e-bike riders by using a combined method, integration of a classification tree and a logistic regression model. Three-year of e-bike crashes occurring in Hunan province are extracted, and risk factor including rider’s attribute, opponent vehicle and driver’s attribute, improper behaviors of riders and drivers, road, and environment characteristics are considered for this analysis.ResultsE-bike riders are segmented into five groups based on the classification tree analysis, and the group of non-occupational riders aged over 55 in urban regions is associated with the highest likelihood of severe injury among the five groups. The logistics analysis for each group shows that several risk factors such as high-speed roads have commonly significant effects on injury severity for different groups; while major factors only have significant effects for specific groups.Practical applicationBased on model results, policy implications to alleviate the crash injury for different e-bike riders groups are recommended, which mainly include enhanced education and enforcement for e-bike risky behaviors, and traffic engineering to regulate the use of e-bikes on high speed roads.