Bridging gaps in demographic analysis with phylogenetic imputation

Phylogenetically informed imputation methods have rarely been applied to estimate missing values in demographic data but may be a powerful tool for reconstructing vital rates of survival, maturation, and fecundity for species of conservation concern. Imputed vital rates could be used to parameterize demographic models to explore how populations respond when vital rates are perturbed. We used standardized vital rate estimates for 50 bird species to assess the use of phylogenetic imputation to fill gaps in demographic data. We calculated imputation accuracy for vital rates of focal species excluded from the data set either singly or in combination and with and without phylogeny, body mass, and life-history trait data. We used imputed vital rates to calculate demographic metrics, including generation time, to validate the use of imputation in demographic analyses. Covariance among vital rates and other trait data provided a strong basis to guide imputation of missing vital rates in birds, even in the absence of phylogenetic information. Mean NRMSE for null and phylogenetic models differed by <0.01 except when no vital rates were available or for vital rates with high phylogenetic signal (Pagel's λ > 0.8). In these cases, including body mass and life-history trait data compensated for lack of phylogenetic information: mean normalized root mean square error (NRMSE) for null and phylogenetic models differed by <0.01 for adult survival and <0.04 for maturation rate. Estimates of demographic metrics were sensitive to the accuracy of imputed vital rates. For example, mean error in generation time doubled in response to inaccurate estimates of maturation time. Accurate demographic data and metrics, such as generation time, are needed to inform conservation planning processes, for example through International Union for Conservation of Nature Red List assessments and population viability analysis. Imputed vital rates could be useful in this context but, as for any estimated model parameters, awareness of the sensitivities of demographic model outputs to the imputed vital rates is essential.     

基于爆破损伤的强制放顶爆破参数设计与应用

通过总结综采工作面坚硬顶板深孔爆破强制放顶成功案例,得出以爆破裂隙区半径为强制放顶爆破参数设计的不合理性,提出以爆破损伤范围为依据进行爆破参数计算。研究以国投新集二矿210108工作面为依托,通过爆破振动监测,回归得到综采面深孔爆破振动速度传播衰减规律,由此导出炮孔周围岩体内的质点振动峰值速度衰减规律。计算结果表明,炮孔直径75mm、装药直径63mm的深孔爆破可以在周围岩体中形成半径为7.631m重度损伤区,解释了炮孔间距大于10m仍能有着良好爆破效果的原因;设计最大孔底间距15.2m的爆破参数,并成功进行了现场应用,验证了计算方法的可靠性,为类似工程爆破参数设计提供了一个新方法。     

污水厂曝气节能智能优化控制系统

针对国内大部分污水厂现有曝气控制中存在着溶解氧浓度波动大、曝气量冗余大、曝气单元能耗高等问题,提出曝气节能智能优化系统,该系统通过获得A/O工艺实时的在线数据不断进行模拟计算,然后按照生化池进水的污染物负荷状况,以曝气能耗最小为目标函数来获取最优的DO设定值及其PI控制器的参数Kp、Ki。该智能优化系统在沥滘污水厂的实际应用情况表明:该系统在盫こ鏊实那榭鱿拢唤鎏岣吡讼低车目垢汉沙寤髂芰Γ苯档土?曝气能耗。     

Temporal scaling behavior of human-caused fires and their connection to relative humidity of the atmosphere

It has been found that many natural systems are characterized by scaling behavior. In such systems natural factors dominate the event dynamics. But in countries with high population density such as China and Japan, more than 95% of the forest fire disasters are caused by human activities. Furthermore, with the development of society, the wildland-urban interface (WUI) area is becoming more and more populated, and the forest fire is much connected with urban fire. Therefore exploring the scaling behavior of fires dominated by human-related factors is very challenging. The present paper explores the temporal scaling behavior of forest fires and urban fires in Japan. Our findings point out that although the human factors are the main cause, both the forest fires and urban fires exhibit time-scaling behavior. Similar distribution law characterizes the relative humidity.     

基于驾驶员模型参数辨识的疲劳驾驶研究

提出一种利用驾驶员模型反演方法来进行驾驶员疲劳诊断研究的新方法。首先利用预瞄神经网络建立适应于复杂路况条件下的驾驶员-汽车-道路闭环模型,然后定义特定行驶轨迹内理论数据与试验数据的近似度为目标函数,将驾驶员参数的反演问题转化为多目标优化问题,采用基于实数编码混沌变异量子遗传算法的优化方法,获得全局最优解。试验中采用脑电和主观疲劳心理评测结合的方法确定被试者的疲劳状况。在每种疲劳状况下对驾驶员参数进行辨识,对结果进行统计分析表明,在考虑到车型、道路曲率等因素条件下驾驶员参数分布与驾驶员的疲劳状况有很强的相关性。     

3池交替运行活性污泥法生物除磷脱氮的探讨

介绍了 3池交替运行活性污泥法进行生物除磷脱氮的运行模式 ,从理论上探讨了溶解氧、污泥龄等运行参数的确定与控制及碳源、硝酸盐对工艺生物除磷脱氮的影响。     

气候环境试验设备温度参数数据处理方法的分析与探讨

不同的温度参数数据处理方法有不同的计算结果,本文针对检测与评定气候环境试验设备的技术性能中存在的问题,分析了三个标准(GB 11158-89、GB/T 5170.1-1995、JTM K 05-1991)的温度参数数据处理方法,比对了二组实际检测数据的计算结果,说明"绝对极值法"科学准确、简捷实用.     

基于风险修正的城市安全风险评估方法及应用*

为推动实现城市安全风险的系统化、信息化管理,基于我国城市安全风险管理的要求与特点,总结城市安全风险评估的分层分类原则、突出固有风险原则和合理修正原则等基本原则;提出“点位-行业-区域”逐层展开的城市安全风险评估程序,明确各层级的评估要点;提出城市安全风险评估方法,分别制定点位、行业风险修正规则,结合风险参数与情景构建开展基于风险矩阵法的点位风险评估和行业风险评估,采用加权计算法由行业风险评估结果叠加评估区域风险。结果表明:该方法能够从不同角度有效评估城市的风险状态,为不同层级的城市安全管理者明确风险管控重点提供决策依据。     

独塔自锚式悬索桥吊索力影响参数敏感性分析*

为了解成桥吊索力对构件刚度、索鞍位置、温度、吊索张拉力等参数的敏感性,保证自锚式悬索桥体系转换能够安全顺利地完成,以天水市罗家沟大桥为工程背景,采用解析法修正空缆线形、有限元法模拟施工过程,分析张拉前参数和张拉过程参数变化对成桥吊索力的影响。结果表明:刚性吊索索力对吊索抗拉刚度变化敏感,在实际施工前可根据实测数据对吊索张拉力进行适当调整;中、长吊索索力对张拉时环境温度比较敏感,中、长吊索临近的吊索索力对第1轮吊索的张拉力偏差比较敏感,在实际施工时应采取相应的措施对张拉力予以精确控制;吊索力对散索鞍沿滑动面滑动的边界处理较敏感,应在有限元建模和施工时予以重视。     

工业废水污泥的热解及升温速率对热解的影响

利用热重分析法对印染、中药和废水处理厂3种典型工业废水污泥进行了热解动力学实验研究。结果表明,工业污泥是一种高挥发分、低固定碳和低热值的劣质燃料。经过消化处理的污泥灰分含量较高,挥发分含量变小。热解过程中有3个失重速率较高的阶段,以挥发分的析出为主。升温速率对热解的最终失重率有重要影响。升温速率增加,热解更剧烈,但最终失重率的变化趋势与污泥种类有关;为使热解效果更好,不同种类的污泥应选择不同的升温速率。不同种类的污泥具有不同的热解特性,印染污泥挥发分析出阶段有2次热解。中药污泥活化能最小,印染污泥挥发分第2次热解的活化能比第1次大幅增加。