Incorporating detectability of threatened species into environmental impact assessment

Environmental impact assessment (EIA) is a key mechanism for protecting threatened plant and animal species. Many species are not perfectly detectable and, even when present, may remain undetected during EIA surveys, increasing the risk of site‐level loss or extinction of species. Numerous methods now exist for estimating detectability of plants and animals. Despite this, regulations concerning survey protocol and effort during EIAs fail to adequately address issues of detectability. Probability of detection is intrinsically linked to survey effort; thus, minimum survey effort requirements are a useful way to address the risks of false absences. We utilized 2 methods for determining appropriate survey effort requirements during EIA surveys. One method determined the survey effort required to achieve a probability of detection of 0.95 when the species is present. The second method estimated the survey effort required to either detect the species or reduce the probability of presence to 0.05. We applied these methods to Pimelea spinscens subsp. spinescens, a critically endangered grassland plant species in Melbourne, Australia. We detected P. spinescens in only half of the surveys undertaken at sites where it was known to exist. Estimates of the survey effort required to detect the species or demonstrate its absence with any confidence were much higher than the effort traditionally invested in EIA surveys for this species. We argue that minimum survey requirements be established for all species listed under threatened species legislation and hope that our findings will provide an impetus for collecting, compiling, and synthesizing quantitative detectability estimates for a broad range of plant and animal species. Incorporación de la Capacidad de Detectar una Especie Amenazada a la Evaluación de Impacto Ambiental     

Predicting and setting conservation priorities for Bolivian mammals based on biological correlates of the risk of decline

The recognition that growing proportions of species worldwide are endangered has led to the development of comparative analyses to elucidate why some species are more prone to extinction than others. Understanding factors and patterns of species vulnerability might provide an opportunity to develop proactive conservation strategies. Such comparative analyses are of special concern at national scales because this is the scale at which most conservation initiatives take place. We applied powerful ensemble learning models to test for biological correlates of the risk of decline among the Bolivian mammals to understand species vulnerability at a national scale and to predict the population trend for poorly known species. Risk of decline was nonrandomly distributed: higher proportions of large‐sized taxa were under decline, whereas small‐sized taxa were less vulnerable. Body mass, mode of life (i.e., aquatic, terrestrial, volant), geographic range size, litter size, home range, niche specialization, and reproductive potential were strongly associated with species vulnerability. Moreover, we found interacting and nonlinear effects of key traits on the risk of decline of mammals at a national scale. Our model predicted 35 data‐deficient species in decline on the basis of their biological vulnerability, which should receive more attention in order to prevent their decline. Our results highlight the relevance of comparative analysis at relatively narrow geographical scales, reveal previously unknown factors related to species vulnerability, and offer species‐by‐species outcomes that can be used to identify targets for conservation, especially for insufficiently known species. Predección y Definición de Prioridades de Conservación para Mamíferos de Bolivia con Base en Correlaciones Biológicas del Riesgo de Declinación     

国外有害废物管理的动向与指南

简要介绍了德国、荷兰和美国等工业化国家的有害废物管理的新动向,以及由工业化国家在有害废物管理中取得的成功经验中,适用于发展中国家的有害废物的基本管理方法和可以作为借鉴的实用措施的指南性环境管理框架。     

GOALS AND DATA COLLECTION DESIGNS FOR WATER QUALITY MONITORING1

ABSTRACT: Water quality monitoring cannot address every information need through one data collection procedure. This paper discusses the goals and related procedures for designing water quality monitoring programs. The discussion focuses on the broad information needs of those agencies operating water quality networks. These information needs include the ability to assess trends and environmental impacts, determine compliance with objectives or standards, estimate mass transport, and perform general surveillance. Each of these information needs has different data requirements. This paper outlines these goals and discusses factors to consider in developing a monitoring plan on a site by site basis.     

GENERATING STREAMFLOW SEQUENCES WITH TREND AND CYCLICAL MOVEMENTS1

ABSTRACT: A first-order autoregressive model had been modified with the trend and cyclical movements to generate the streamflow sequences. Three main portions were involved in this modified model, i.e., six-year cycle with trend changing; six-year cycle without trend changing; and both annual and six-year cycles with trend changing. The synthetic sequences of monthly streamflow sequences were compared with the historical records obtained from the Kissimmee River basin by using the Chi-Square test for goodness-of-fit. The results indicated that the newly proposed model has a better solution than the original model because the trend and cyclical movements involved in generating sequences are much closer to the historical records.     

钻井过程人员异常行为视频智能识别系统

针对钻井现场视频监控人工值守工作量大、异常行为识别不及时、海量视频数据缺乏实时报警等问题,结合钻井作业操作规程建立井控坐岗监测、起下钻、甩钻具等钻井作业场景典型异常行为判别规则,在基于卷积神经网络的目标检测方法基础上,引入SIFT方法和基于强化学习的困难样本筛选策略,提高了算法识别的准确率与鲁棒性。测试结果表明,在像素分辨率1 920×1 080的情况下,该方法整体识别准确率达到85%以上,平均识别速度为135 ms/帧。在此基础上,开发了钻井过程人员异常行为智能识别系统,试点应用结果表明,该系统能够对接入的视频流进行实时检测,及时、准确识别出坐岗人员擅自离岗、起下钻及甩钻具过程人员危险站位等异常行为,有效提升钻井现场安全管理水平。     

达里诺尔湿地水化学特征与发展态势

本文对达里诺尔湿地水环境１９７５年以来的监测数据进行了研究，结果表明：水环境以含盐量高、碱度强为主要化学特征。而且随着含势量和总碱度的增加，湿地水质有恶化趋势。     

曲江流域水环境发展趋势分析

曲江流域水环境污染重点是域镇生活污水，其次是非点源污染，工业污染则影响不大。经预测，2005年和2010年流域工业和生活污水排放量将比2000年分别增加21％和37％。由于环保力度加强等原因，河流水污染趋势会有所改善，但仍难以达到玉溪市水功能区划的要求。     

ICP-MS法测定饮用水中金属元素

利用ICP-MS法对饮用水中的多种元素进行全定量分析,结果表明,ICP-MS法可同时测定饮用水中的多种元素;快速,一个样品仅需3～5 分钟;灵敏度和准确度高;精密度好,相对标准偏差一般小于3%;检出限低,达到ng/L-ug/L级;线性范围宽,达到8～9 个数量级.     

Cytogenetic prenatal diagnosis and its relative effectiveness in the mersey region and North Wales

The relative effectiveness of cytogenetic prenatal diagnosis in the Mersey Region and North Wales is presented by estimating the percentage detection rates of Down's syndrome annually following amniocentesis from 1978–1984 inclusive. Tables indicating the percentage of screened pregnancies, types of chromosomal aberrations detected and the occurrence of Down's syndrome in mothers in age groups of five-year intervals are also presented. The average prenatal detection rate for Down's syndrome (estimated at the time of birth) was 15–15 per cent over the years 1978–1984 and was above 22 per cent for the last two years when 44–13 per cent of all pregnancies to mothers of 35 years and over were investigated.