Characteristics of animal-related motor vehicle crashes in select National Park Service units—United States, 1990–2013

Objectives: Nationally, animal–motor vehicle crashes (AVCs) account for 4.4% of all types of motor vehicle crashes (MVCs). AVCs are a safety risk for drivers and animals and many National Park Service (NPS) units (e.g., national park, national monument, or national parkway) have known AVC risk factors, including rural locations and substantial animal densities. We sought to describe conditions and circumstances involving AVCs to guide traffic and wildlife management for prevention of AVCs in select NPS units.

Methods: We conducted an analysis using NPS law enforcement MVC data. An MVC is a collision involving an in-transit motor vehicle that occurred or began on a public roadway. An AVC is characterized as a collision between a motor vehicle and an animal. A non-AVC is a crash between a motor vehicle and any object other than an animal or noncollision event (e.g., rollover crash). The final data for analysis included 54,068 records from 51 NPS units during 1990–2013. Counts and proportions were calculated for categorical variables and medians and ranges were calculated for continuous variables. We used Pearson’s chi-square to compare circumstances of AVCs and non-AVCs. Data were compiled at the park regional level; NPS parks are assigned to 1 of 7 regions based on the park’s location.

Results: AVCs accounted for 10.4% (5,643 of 54,068) of all MVCs from 51 NPS units. The Northeast (2,021 of 5,643; 35.8%) and Intermountain (1,180 of 5,643; 20.9%) regions had the largest percentage of the total AVC burden. November was the peak month for AVCs across all regions (881 of 5,643; 15.6%); however, seasonality varied by park geographic regions. The highest counts of AVCs were reported during fall for the National Capital, Northeast/Southeast, and Northeast regions; winter for the Southeast region; and summer for Intermountain and Pacific West regions.

Conclusions: AVCs represent a public health and wildlife safety concern for NPS units. AVCs in select NPS units were approximately 2-fold higher than the national percentage for AVCs. The peak season for AVCs varied by NPS region. Knowledge of region-specific seasonality patterns for AVCs can help NPS staff develop mitigation strategies for use primarily during peak AVC months. Improving AVC data collection might provide NPS with a more complete understanding of risk factors and seasonal trends for specific NPS units. By collecting information concerning the animal species hit, park managers can better understand the impacts of AVC to wildlife population health.     

新形势下环境质量综合分析思路探讨

随着中国共产党第十九次全国代表大会的顺利召开,环保"大部制"改革、环境监测垂直管理制度改革以及国家"大气十条""水十条""土十条"的全面实施均对生态环境保护、环境监测乃至环境质量综合分析工作提出了新要求。新形势下,环境质量综合分析应与时俱进、开拓创新,进一步优化工作机制,加强系统分析,增强综合分析报告的科学性、规范性、时效性、精准性、客观性等,强化技术与能力支撑,更好发挥环境监测对环境管理和决策的引领作用。     

"十三五"国家自然科学基金对能源环境管理领域的资助状况和趋势

能源环境管理是各界关注的热点话题,也是科学研究的重要方向.以国家自然科学基金资助能源环境管理领域的科研项目为基础数据信息,本文重点分析了"十三五"期间国家自然科学基金在该领域资助项目的总体特征、研究主题和热点变化,并结合新时代科学基金资助导向提出了可能的发展趋势.主要结论包括:①能源环境管理领域面上、青年、地区等自由探索类项目的立项绝对数和学科占比均呈上升趋势,并更多向青年学者倾斜,资助强度保持稳定;②碳、能源和环境是自由探索项目中出现频率最高的热词,与之相关的研究主题随着政策等调整具有动态变化特征;③能源环境管理领域重点、重大等引导类项目和优青、杰青、创新研究群体等人才类项目不断实现突破,增速明显,学科占比优势突出;④问题导向与本土情景、理论体系和一般规律、学科交叉融合,以及市场和微观主体作用是研究选题确立与项目申请时可能需要重点关注的方向.     

面向北京冬奥会的态势感知与指挥体系研究*

为全面掌控北京冬奥会运行情况，结合冬奥会概况构建具有全局全过程态势感知能力与指挥体系的运行保障系统。系统阐述冬奥会指挥体系构建的出发点、特点和要求，分析冬奥会态势感知构建基础框架，包括所需数据类型、层级体系和态势汇总共享技术要求。研究表明:体系充分考虑冬奥会及城市运行特点，是冬奥会顺利举办的重要保障，可为冬奥会提供系统构建指导，并为未来大型活动与城市运行态势感知体系构建提供理论支持。     

基于新常态下环境监察执法的难点和重点分析

随着社会经济的发展和人民生活水平的日益提高,广大人民对环境的要求也达到了一个新的高度。在新常态下,如何加强环境监察执法力度与效率、高效解决环境问题、改善生态环境,成为普遍关注的问题。本文从当下环境监察执法工作中的重点与难点出发,分析了新常态下的环境局势,并给出了几点新常态背景下高效开展环境监察执法工作的措施,以期能够改进环境监察执法现状,促进环境问题的早日解决。     

阿什河干流(道外香坊段)防洪及河道生态治理工程生态影响分析简述

通过分析阿什河干流生态环境现状,进行工程建设对生态环境的影响分析,并提出了相应的生态保护措施和建议。     

齐齐哈尔市建华区餐饮业噪声污染特点及防治对策

近年来城区餐饮业发展迅速,引发了一系列的环境问题。阐述了餐饮业噪声污染现状,产生污染的原因,并就如何解决这些问题提出了意见。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.     

新形势下污染源监督性监测工作存在的问题及应对措施

"十二五"以来,国家不断完善总量减排和污染源监测管理制度,出台了一系列新的文件和办法,强化了监测信息公开,严格了总量减排监测体系建设和运行管理考核。新形势下,对污染源监督性监测工作提出了新的工作要求,针对当前监督性监测工作中存在的一些问题,从标准核实、规范监测、信息公布、软件升级等方面提出了相应的措施和建议。     

锂电池正极材料Li2FeS2的充放电机理与热稳定性

随着移动电子设备的飞速发展,锂电池作为新型的能源载体也取得了巨大的进步。与嵌入式氧化物正极材料相比,Li2FeS2不仅具有理想的循环性能,而且其理论容量达到400mAh／g,约为嵌入式氧化物正极材料的2倍。因此,本文从晶体结构、电化学性能、充放电机制、充放电过程中的离子电导率变化以及热稳定性等方面对Li2FeS2正极材料进行了详细的阐述。