密闭受限空间搜救训练废墟功能设计

地针对建筑物在地震中的倒塌后形成的小空间和黑暗环境,借鉴国际先进地震搜索救援经验、理念,以国家陆地搜寻与救护(兰州)基地为例,进行了在黑暗狭小空间的废墟中搜索、救援的训练功能设计以及模拟体验黑暗狭小空间中逃生、互救自救、特定环境避险及黑暗环境下心里训练的功能设计。     

Prediction of dissolved gases content in power transformer oil using BASA-based mixed kernel RVR model

In this paper, beetle antennae search algorithm-based mixed kernel relevance vector regression (BASA-MkRVR) model is presented and applied to predict the dissolved gases content in power transformer, and beetle antennae search algorithm (BASA) is used to select the appropriate kernel parameters and controlled parameter. The RVR model with RBF kernel (RBFRVR) and the RVR model with Sigmoid kernel (SigmoidRVR) are, respectively, used to compare with the proposed BASA-MkRVR model in order to testify the superiority of BASA-MkRVR compared with RBFRVR and SigmoidRVR. The experimental results indicate that BASA-MkRVR has more excellent prediction ability for the dissolved gases content in power transformer oil than RBFRVR and SigmoidRVR.     

Do people have a negative impression of government on polluted days? Evidence from Chinese Cities

Chinese governments play a key role in providing environmental public goods. Urban air quality is a significant indicator with which people evaluate the effects of governments’ environmental regulations and investments. This study aims to investigate how people's impression of government varies with air pollution in Chinese cities. Using the Baidu online search index on the specific keyword ‘corruption’ to represent public attitude toward the government, our estimations show that an increase in air pollution level yields a significant increase in online searches on this word. Such an effect is more significant on heavily polluted or severely polluted days. In further estimations, we find that people will not pay more attention to the polluters themselves on polluted days. These results are consistent with previous studies that air pollution causes people to be more depressed, selfish and sensitive to fairness. We conclude that efforts on air quality improvement will create a positive impression of government.     

环境保护图书网络管理系统的开发及应用

在多年环保图书管理工作的基础上，自主研发了一套图书网络管理系统，该系统基于ASP VBScript语言开发，采用B／S结构设计模型，适合于中小型企事业单位局域网的图书自动化管理。     

如何在Internet上进行环境信息检索

在分析归类网上检索工具的基础上，介绍了如何从Internet网络上检索环境信息资料，并给出了一些有用的网址。     

城市降雨径流对桂林四湖水质的影响

摘要：为了研究城市降雨径流对桂林四湖水质的影响,在某场强降雨的前后,对桂林四湖湖水的氨氮、总磷、高锰酸盐指数和浊度进行了监测与比较,结果显示降雨中各指标农度高于降雨前。其中变化最明显的是氨氮和高锰酸盐指数。在雨后60min,由于湖水的自净作用,湖水的高锰酸盐指数和浊度明显下降,而氨氮和总磷浓度的值下降不明显。总的来说,城市雨水径流对湖水具有一定程度的影响。     

国家陆地搜救基地训练设施设计原则及构成分析

＂科学施救＂是公安消防部队进行应急救援任务的核心理念,而专业化、模拟化训练则是实现＂科学施救＂的必要手段。如何构建高仿真、动态化的模拟训练设施,进一步提高公安消防部队应急救援水平,已成为公安消防部队面临的一个重要课题。文章对部分发达国家应急救援训练设施建设情况进行了分析,从实战救援的角度,提出了国家陆地搜寻与救护基地模拟训练设施的设计原则,并结合实战需要,给出了模拟训练设施的基本构成和功能介绍,供各地在规划和建设模拟训练设施时参考、借鉴。     

位移反分析的PSA-ANFIS方法研究

地下工程中,通常采用位移反分析方法来确定围岩的力学参数,而现有的位移反分析方法均存在诸多不足之处,为此,采用模式搜索算法、自适应神经模糊推理系统以及正交试验设计方法,建立了位移反分析的PSA-ANFIS方法;同时还对一标准弹塑性问题进行了解析计算,得到了相应的训练数据对、检测数据对和预测数据对;最后采用此方法对该弹塑性问题的力学参数进行了反演。反演结果表明,所建立的位移反分析的PSA-ANFIS方法除了能够充分发挥ANFIS的各种优点外,还能有效地减少模型建立和参数调节过程中的人为干预,因此是一种优异的位移反分析方法。     

烟花爆竹安全生产核心问题研究

烟花爆竹生产作为高危行业,具有很高的风险性和危险性。烟花爆竹安全事故频繁发生,重大事故也时有发生。为改变这种局面,降低烟花爆竹安全事故发生的机率及后果的严重性,本文根据我国当前烟花爆竹的生产和管理现状,对我国烟花爆竹安全生产的核心问题进行了研究,分析了烟花爆竹的危险性和事故发生的原因,结合黑龙江伊春"8.16"特别重大烟花爆竹爆炸事故调查的经历,从技术和管理两个层面提出了有针对性的安全保障措施和建议,对我国烟花爆竹行业的安全生产和监管提供指导和参考。     

Effect of IUCN Red List category on public attention to mammals

Cultural data is a powerful tool to analyze public awareness of key societal issues, including the conservation of nature. I used two publicly available repositories of cultural data, Google Trends and Google Ngram, to quantify the effect of the International Union for the Conservation of Nature (IUCN) Red List conservation status on public attention toward 4539 mammal species. With Google Trends, I calculated whether Google searches for their common and scientific names have been increasing or decreasing over time. I also ran an anomaly detection analysis to investigate whether a change in red-list status directly results in an increase in Google searches. Additionally, I quantified the mentions of species’ common and scientific names in English texts with Google Ngram. Overall, Google searches for most mammal species remained at similar levels or increased since 2008. The severity of species’ IUCN Red List status was a significant predictor of increasing Google searches, although the effect size was relatively small. Red-list status seemed strongly confounded with mammal body size. Species that moved to a higher-risk category spiked significantly in Google searches directly after the new designation. The mention of species’ common names in the Google Ngram's English 2019 corpus significantly increased as the red-list category increased. These results provide valuable insight into the importance of the IUCN Red List for increasing public awareness and the usefulness of publicly available cultural data on examining the effectiveness of specific conservation efforts and thus evaluating targets for support and funding.