E-waste issues and measures in the Philippines

The continuous dependence on electronic equipment at home and in the workplace has given rise to a new environmental challenge: electronic waste. Electronic waste, or e-waste, refers to electronic products that no longer satisfy the needs of the initial purchaser. These can include a wide variety of goods, such as computers, cellular phones, TVs, refrigerators, air conditioners, washing machines, and video cameras. These pieces of equipment contain hazardous materials such as lead, beryllium, mercury, cadmium, and chromium that pose both an occupational and environmental health threat. Although electronic equipment is considered safe during use, the potential for release of the toxic constituents increases during storage or disposal. Because of the growing number of discarded electronic devices resulting from rapid product obsolescence, this type of waste is an emerging concern among developing countries. This study estimates the current and future quantity of e-waste in the Philippines, with a focus on televisions, refrigerators, air conditioners, washing machines, and radios. Data from the National Statistics Office (NSO) serve as the input to a simple end-of-life model for each type of electronic device. Mathematical equations are derived incorporating other factors, such as the number of electronic devices in use, current end-of-life management practices, serviceable years of the product, and disposal behavior of consumers. An accurate estimation of e-waste generation would be useful in policy making as well as in designing an effective management scheme to avoid the potential threats of health impacts or environmental pollution. Preliminary estimates show that at the end of 2005, approximately 2.7 million units became obsolete and about 1.8 million units required landfilling. Over a 10-year period from 1995 to 2005, approximately 25 million units became obsolete. An additional 14 million units are projected to become obsolete in the next 5 years.     

利用遗传算法进行软件可靠性增长模型参数估计

为解决利用传统数值方法估计软件可靠性增长模型参数值时存在的问题 ,笔者讨论了利用遗传算法进行求解的相关策略 ;提出了一种新的编码方式及变异算子 ;通过涉及多个模型的实验 ;采用实际数据 ,对所提出算法的效果与传统数值方法进行了对比。实验与对比分析结果显示 :该算法针对这些模型表现出了良好的普适性。     

生态毒理学研究中分子构效相关的应用

分子定量构效相关(QSAR)理论方法是当前生态毒理学研究领域发展的重要方向和前沿,QSAR法运用多种数学模式和化合物特征表示参数,系统地探究化合物的生态毒理学机制,进行分子水平的综合研究。笔者系统阐述并应用目前生态毒理学研究中采用的分子构效新方法,对取代芳烃类等典型有机物的生态毒理学效应进行了举证性预测研究。      

Use of Multispecies Occupancy Models to Evaluate the Response of Bird Communities to Forest Degradation Associated with Logging

Forest degradation is arguably the greatest threat to biodiversity, ecosystem services, and rural livelihoods. Therefore, increasing understanding of how organisms respond to degradation is essential for management and conservation planning. We were motivated by the need for rapid and practical analytical tools to assess the influence of management and degradation on biodiversity and system state in areas subject to rapid environmental change. We compared bird community composition and size in managed (ejido, i.e., communally owned lands) and unmanaged (national park) forests in the Sierra Tarahumara region, Mexico, using multispecies occupancy models and data from a 2‐year breeding bird survey. Unmanaged sites had on average higher species occupancy and richness than managed sites. Most species were present in low numbers as indicated by lower values of detection and occupancy associated with logging‐induced degradation. Less than 10% of species had occupancy probabilities >0.5, and degradation had no positive effects on occupancy. The estimated metacommunity size of 125 exceeded previous estimates for the region, and sites with mature trees and uneven‐aged forest stand characteristics contained the highest species richness. Higher estimation uncertainty and decreases in richness and occupancy for all species, including habitat generalists, were associated with degraded young, even‐aged stands. Our findings show that multispecies occupancy methods provide tractable measures of biodiversity and system state and valuable decision support for landholders and managers. These techniques can be used to rapidly address gaps in biodiversity information, threats to biodiversity, and vulnerabilities of species of interest on a landscape level, even in degraded or fast‐changing environments. Moreover, such tools may be particularly relevant in the assessment of species richness and distribution in a wide array of habitats. Uso de Modelos de Ocupación para Múltiples Especies para Evaluar la Respuesta de las Comunidades de Aves a la Degradación de Bosques Asociada con la Tala     

Dynamics of a low‐density tiger population in Southeast Asia in the context of improved law enforcement

Recovering small populations of threatened species is an important global conservation strategy. Monitoring the anticipated recovery, however, often relies on uncertain abundance indices rather than on rigorous demographic estimates. To counter the severe threat from poaching of wild tigers (Panthera tigris), the Government of Thailand established an intensive patrolling system in 2005 to protect and recover its largest source population in Huai Kha Khaeng Wildlife Sanctuary. Concurrently, we assessed the dynamics of this tiger population over the next 8 years with rigorous photographic capture‐recapture methods. From 2006 to 2012, we sampled across 624–1026 km² with 137–200 camera traps. Cameras deployed for 21,359 trap days yielded photographic records of 90 distinct individuals. We used closed model Bayesian spatial capture‐recapture methods to estimate tiger abundances annually. Abundance estimates were integrated with likelihood‐based open model analyses to estimate rates of annual and overall rates of survival, recruitment, and changes in abundance. Estimates of demographic parameters fluctuated widely: annual density ranged from 1.25 to 2.01 tigers/100 km², abundance from 35 to 58 tigers, survival from 79.6% to 95.5%, and annual recruitment from 0 to 25 tigers. The number of distinct individuals photographed demonstrates the value of photographic capture–recapture methods for assessments of population dynamics in rare and elusive species that are identifiable from natural markings. Possibly because of poaching pressure, overall tiger densities at Huai Kha Khaeng were 82–90% lower than in ecologically comparable sites in India. However, intensified patrolling after 2006 appeared to reduce poaching and was correlated with marginal improvement in tiger survival and recruitment. Our results suggest that population recovery of low‐density tiger populations may be slower than anticipated by current global strategies aimed at doubling the number of wild tigers in a decade.     

突发型大气污染源位置识别反演问题的数值模拟

在突发型大气污染事件中,能否根据临时监测数据对污染源的位置进行快速识别,对于城市大气污染源的控制管理以及改善城市空气质量意义重大.为了构建突发型大气污染源位置识别的空间反演算法,本文通过分析大气应急污染监测的临时采样数据,结合污染物浓度扩散模型,随机生成污染源和计算污染物浓度的空间分布,对突发型大气污染源进行定位并与实际测量结果进行对比分析,采用蒙特卡洛模拟(Monte Carlo simulation)对相关参数进行讨论,最终构建能对突发型大气污染源进行快速估计定位的空间反演算法.研究结果表明,本文构建的空间反演算法输出的污染源坐标与实际情况相符.因此,该算法可用于突发型大气污染源位置的快速识别.     

中国矿产资源基地划定指标体系构建与应用——以铁矿为例

矿产资源基地是优化中国矿产资源勘查开发布局、保障国内资源有效供应的战略核心区域。在分析基地布局影响因素的基础上,从资源基础、开发条件、市场需求和国家战略等方面构建了矿产资源基地划定指标体系。其中资源基础包括预测资源量、查明资源储量和设计开采规模,开发条件包括缺水程度和交通优势度,市场需求包括后续冶炼加工企业布局与产值,国家战略主要体现为区域协调发展战略对矿产资源基地布局的要求。在此基础上,以铁矿为例开展了实证研究,采用聚类分析、核密度估计等方法对各单项指标进行了分析评价,在全国识别了辽宁鞍山—本溪等12个铁矿资源基地。研究结果可以为“十四五”时期中国矿产资源基地调整优化提供参考,对其他矿产资源空间政策区的划定具有一定借鉴意义。     

基于Bayes的导弹加速贮存试验参数估计

目的研究导弹加速贮存寿命试验中的参数估计问题。方法拟在小子样的情况下,设计一系列反复连续的导弹加速贮存仿真试验,将前一试验的结果作为之后试验的先验分布,基于Bayes方法建立导弹加速贮存寿命模型,给出贮存寿命参数估计算法,探讨导弹贮存可靠性评估方法。结果算例给出贮存寿命参数的极大似然估计,利用RBA方法对参数估计值进行降偏修正,得出参数的修正似然估计值,给出导弹贮存可靠度。给出的参数估计在均方误差意义下结果较优。结论序列试验Bayes算法易行、精度高,可有效对导弹贮存可靠性进行评估。     

重特大事故的离散幂律分布——以煤矿事故为例

研究近年来我国每起煤矿重大和特别重大事故死亡人数统计数据,建立其概率分布模型。基于极大似然法和柯尔莫哥洛夫一斯米尔诺夫检验方法（K-S方法）估计我国煤矿重大和特别重大事故离散幂律分布的参数,并采用MonteCarlo方法随机生成大量的检验样本,对其进行K-S方法拟合优度检验。结果表明在统计学意义上我国煤矿重大和特别重大事故死亡人数比高斯分布的值大得多,服从标度指数为2．72的离散幂律分布。     

Algorithms for Increasing the Efficiency of Precision Production Operator’s Activities

To assess and plan future risk-analysis research projects, 275 documents describing methods and tools for assessing the risks associated with industrial machines or with other sectors such as the military, and the nuclear and aeronautics industries, etc., were collected. These documents were in the format of published books or papers, standards, technical guides and company procedures collected throughout industry. From the collected documents, 112 documents were selected for analysis; 108 methods applied or potentially applicable for assessing the risks associated with industrial machines were analyzed and classified. This paper presents the main quantitative results of the analysis of the methods and tools.