g 辐照预处理促进剩余污泥发酵产氢的研究

为降低能耗,提高辐照技术的经济性,探讨了在0~9.5kGy范围内,γ辐照剂量对生活污水处理厂二沉池剩余污泥中耗氢菌的抑制效果和对发酵产氢的影响,建立了描述发酵产氢过程及辐照影响的动力学模型.结果表明,γ辐照剂量从0增加至9.5kGy时,污泥溶解率从0增加至4%,上清液中可检测出一定的蛋白质和多糖等物质,其中蛋白质中的氮素占溶出总氮素的90%,表明较低剂量辐照即对污泥菌体造成较明显的破解,这可在一定程度上抑制无法形成芽孢的耗氢菌活性;与之相对应的是污泥发酵产氢能力的明显提升,以葡萄糖为底物(1.0g/L),在35℃和初始pH值为7.0时,当辐射剂量仅为0.5kGy时,累积产氢量即比未辐照时有70%的提升,进一步增加辐照剂量至5kGy,累计产氢量和产氢得率均继续增长且达到最大值,分别为240mL/g葡萄糖和1.93mLH2/mol葡萄糖(发酵液的污泥量达2.0g VSS/L);此后,污泥发酵产氢能力随辐射剂量的增加而降低.修正的Logistic模型能很好地描述本研究中累积产氢量随时间的变化规律,而修正的Han-Levenspiel模型能很好地描述辐照剂量对平均产氢速率的影响.     

1种改进的流变模型在层状覆盖层坝基上的应用*

为了深入剖析深厚覆盖层中各层岩土体的流变性对大坝安全稳定的影响机理。探索新的流变元件模型H-KS以适应层状覆盖层坝基,借助Comsol建立数值模型,计算青湾坝安全稳定指标,分析坝基流变对大坝整体的影响。研究结果表明:对于岩性、物理力学性质差异较大的层状覆盖层坝基,采用H-KS流变模型能较好反应大坝应力、变形和渗流实际情况,与监测值对比,误差在5%以内;相比不考虑流变的模型而言,应力、变形分别增大了10%和15.7%,部分增量会影响大坝结构的安全稳定,应予以重视;流变导致大坝整体渗透性降低,粗细粒层孔隙水压力分别减小了约50%和2.5%,加速了流固耦合过程,对于重新评估大坝的渗透性有重要参考意义;由于流变性不同,深厚覆盖层中粗粒土层在变形、应力和渗流方面影响最大,细粒土的贡献相对较小,除了与岩性相关之外,还与土层所处位置、厚度等相关。研究结果可为层状覆盖层上的大坝安全稳定体系的建立提供理论支持。     

Statistical regression modeling for energy consumption in wastewater treatment

Wastewater treatment is one of critical issues faced by water utilities, and receives more and more attentions recently. The energy consumption modeling in biochemical wastewater treatment was investigated in the study via a general and robust approach based on Bayesian semi-parametric quantile regression. The dataset was derived from a municipal wastewater treatment plant, where the energy consumption of unit chemical oxygen demand (COD) reduction was the response variable of interest. Via the proposed approach, the comprehensive regression pictures of the energy consumption and truly influencing factors, i.e., the regression relationships at lower, median and higher energy consumption levels were characterized respectively. Meanwhile, the proposals for energy saving in different cases were also facilitated specifically. First, the lower level of energy consumption was closely associated with the temperature of influent wastewater, and the chroma-rich wastewater also showed helpful in the execution of energy saving. Second, at median energy consumption level, the COD-rich wastewater played a determinative role in the reduction of energy consumption, while the higher quality of treated water led to slightly energy intensive. Third, the higher level of energy consumption was most likely to be attributed to the relatively high temperature of wastewater and total nitrogen (TN)-rich wastewater, and both of the factors were preferably to be avoided to alleviate the burden of energy consumption. The study provided an efficient approach to controlling the energy consumption of wastewater treatment in the perspective of statistical regression modeling, and offered valuable suggestions for the future energy saving.     

小风和静风状态下TSP大气扩散模式的理论推导

以移动烟团积分模式为基础,采用数学模型分析法,从理论上导出了小风和静风状态下的TSP大气扩散模式。该模式描述了重力沉降和地面不完全反射对颗粒物大气扩散过程的影响;与现有的大气扩散模式体系完全相容,可以方便地应用于小风和静风状态下TSP地面浓度的预测计算     

复杂火工系统可靠性预计方法及软件研究

目的 解决在进行复杂系统的可靠性建模以及预计时,计算效率低、容易出错的问题。方法 开展基于GO(Goal Oriented)法的复杂火工系统可靠性预计方法研究。建立不同种类火工组件的可靠性模型和算法,结合火工系统的GO图模型,对系统的可靠性进行预计以及定量分析。依据建立的可靠性模型以及算法,开发一套火工系统可靠性建模以及预计的软件,运用该软件对典型座椅弹射火工系统的可靠性进行预计,并且将软件计算结果与蒙特卡洛仿真方法得到的结果进行比较。结果 软件计算结果与蒙特卡洛仿真方法所得结果的最大相对误差不超过0.004 8%。结论 基于GO法的复杂火工系统可靠性预计方法是合理可行的,而且运用GO法开发的软件可以提高可靠性预计的计算效率,同时也为后续的 GO 图分析计算提供了技术支持。     

弹上电子部件加速因子估计方法研究

目的 针对高可靠长寿命的弹上电子部件在实际贮存环境温度起伏变化的情况,研究基于等效温度的加速因子估计方法。方法 首先剖析弹上电子部件失效机理,然后基于阿伦尼斯模型,分析加速应力与实际环境温度的对应关系,求解实际环境等效温度,进而估计加速因子,最后通过某型导弹综合控制器中的时序控制电路板,验证该方法的工程适用性。结果 该方法能够真实反映环境温度情况,且与传统加权平均温度计算方法相比,加速因子估计和加速试验时间预测更准确,且随着实际环境温度起伏的增大,优势更加明显。结论 该方法在实际贮存环境温度起伏变化的情况下,能够有效提高加速因子估计和加速寿命试验时间预测的准确性,为弹上电子部件加速寿命试验方案设计提供可靠依据,对其他高可靠长寿命产品的加速因子估计也具有一定的参考价值。     

基于CREAM和贝叶斯网络的空管人误概率预测方法

针对研究管制人因可靠性时存在的模糊性和片面性问题,采用认知可靠性与失误分析方法（CREAM）中的扩展预测法,计算10项管制通用任务的人误概率;在此基础上,以管制行为形成因子作为根节点构建贝叶斯网络,建立其与情景控制模式的不确定关系模型,对管制员在多任务中的人误概率进行预测。研究结果表明:在由相同评判者给出行为形成因子影响效应的前提下,由CREAM扩展预测法和构建贝叶斯网络的方法预测得到的多数任务的人误概率差异较大,从方法的客观性、合理性和适用性角度分析,贝叶斯网络在研究该问题时更具优势。     

矿井热宽温度环境人体热健康分区热调节模型*

为评价矿井热环境中工人职业健康安全状况,提出矿井热宽温度环境人体热健康状态的基本特征与生理要求,分析热宽温度环境人体分区热调节规律与热健康状态的对应关系。基于生物控制论的观点,提出热宽温度范围内不同热应力作用下人体分区热调节机制,建立人体分区热调节模型。结果表明:模型能实现对环境热应力作用下人体物理热平衡状态与生理状态的参数化描述,揭示多因素作用下人体热健康状态的热应力边界与变化规律。分区热调节模型提供了人体热健康状态定量模拟平台,通过参数调整可使模型适应研究需求,模型为井下热环境工人职业健康安全状况分析与评价提供了可参考的思路与方法。     

Using empirical models of species colonization under multiple threatening processes to identify complementary threat‐mitigation strategies

Approaches to prioritize conservation actions are gaining popularity. However, limited empirical evidence exists on which species might benefit most from threat mitigation and on what combination of threats, if mitigated simultaneously, would result in the best outcomes for biodiversity. We devised a way to prioritize threat mitigation at a regional scale with empirical evidence based on predicted changes to population dynamics—information that is lacking in most threat‐management prioritization frameworks that rely on expert elicitation. We used dynamic occupancy models to investigate the effects of multiple threats (tree cover, grazing, and presence of an hyperaggressive competitor, the Noisy Miner (Manorina melanocephala) on bird‐population dynamics in an endangered woodland community in southeastern Australia. The 3 threatening processes had different effects on different species. We used predicted patch‐colonization probabilities to estimate the benefit to each species of removing one or more threats. We then determined the complementary set of threat‐mitigation strategies that maximized colonization of all species while ensuring that redundant actions with little benefit were avoided. The single action that resulted in the highest colonization was increasing tree cover, which increased patch colonization by 5% and 11% on average across all species and for declining species, respectively. Combining Noisy Miner control with increasing tree cover increased species colonization by 10% and 19% on average for all species and for declining species respectively, and was a higher priority than changing grazing regimes. Guidance for prioritizing threat mitigation is critical in the face of cumulative threatening processes. By incorporating population dynamics in prioritization of threat management, our approach helps ensure funding is not wasted on ineffective management programs that target the wrong threats or species.     

The Value of Using Feasibility Models in Systematic Conservation Planning to Predict Landholder Management Uptake

Understanding the social dimensions of conservation opportunity is crucial for conservation planning in multiple‐use landscapes. However, factors that influence the feasibility of implementing conservation actions, such as the history of landscape management, and landholders’ willingness to engage are often difficult or time consuming to quantify and rarely incorporated into planning. We examined how conservation agencies could reduce costs of acquiring such data by developing predictive models of management feasibility parameterized with social and biophysical factors likely to influence landholders’ decisions to engage in management. To test the utility of our best‐supported model, we developed 4 alternative investment scenarios based on different input data for conservation planning: social data only; biological data only; potential conservation opportunity derived from modeled feasibility that incurs no social data collection costs; and existing conservation opportunity derived from feasibility data that incurred collection costs. Using spatially explicit information on biodiversity values, feasibility, and management costs, we prioritized locations in southwest Australia to control an invasive predator that is detrimental to both agriculture and natural ecosystems: the red fox (Vulpes vulpes). When social data collection costs were moderate to high, the most cost‐effective investment scenario resulted from a predictive model of feasibility. Combining empirical feasibility data with biological data was more cost‐effective for prioritizing management when social data collection costs were low (<4% of the total budget). Calls for more data to inform conservation planning should take into account the costs and benefits of collecting and using social data to ensure that limited funding for conservation is spent in the most cost‐efficient and effective manner.