武器装备验证环境因素确定模型及其应用研究

从系统的角度,分析了与武器装备环境紧密相联的4个因素,从武器装备的产品分解结构、环境分解结构、功能分解结构、状态集构建了武器装备系统、分系统、部件的试验验证环境因素确定模型,分析了模型的应用,给出了模型的工作流程。描述了基于上述模型的信息管理系统的构建思路与功能。     

废物水泥窑共处置产品中重金属释放量研究

通过模拟煅烧实验制取水泥熟料,并采用国标GB/T 17671-1999制取混凝土样品.选用EA NEN7371和EA NEN7375浸出方法,利用基于菲克扩散第二定律的一维扩散模型对废物水泥窑共处置产品（混凝土）中重金属长期累积释放量进行了研究.结果表明,混凝土中重金属的最大释放量低于总量;各种重金属在混凝土中的扩散系数不同,且Cr>As>Ni>Cd; Cr、As、Ni和Cd 30a的累积释放量分别为4.43、 0.46、 1.50和0.02 mg/kg,释放率（累积释放量/最大释放量）分别为27.0%、 18.0%、 3.0%和0.2%;扩散系数是影响重金属累积释放量的重要因素,且两者表现出较好的相关性;Cr和As的扩散系数较大（分别为1.15E-15 m²/s和6.42E-16 m²/s）,应重点控制其进入水泥窑处置过程的总量.     

深圳市郊区大气中PM2.5的特征分析

为了确定深圳市郊区大气中PM2.5的污染特征,本研究分析了2009年和2010年夏季和冬季PM2.5样品中的水溶性离子和多环芳烃成分.结果表明,深圳市郊区大气中PM2.5的质量浓度很高,夏季53.9%和冬季100%的样品超过了WHO的大气质量准则浓度.PM2.5中,冬季最主要的3种离子是SO24-、NO3-和NH4＋.在夏季,这3种离子在PM2.5中的含量都会减少,而Cl-、Na＋、K＋、Ca2＋和Mg2＋的含量会增多.另外,冬季是多环芳烃浓度较高的季节,其中萘、苊烯、苊和苯并荧蒽是冬季PM2.5中多环芳烃的主要成分.本研究还通过比值法和特征化合物法对深圳市郊区大气中的PM2.5进行了源解析,确定了PM2.5的可能来源.     

基于损伤检测的腐蚀疲劳寿命预测概率模型

建立了飞机结构腐蚀疲劳寿命预测的4阶段概率模型,结合腐蚀疲劳损伤检测结果,通过检测的灵敏度和准确度2个随机变量来描述检测技术的可靠性;建立了检测后的修正腐蚀疲劳寿命预测概率模型,通过对比分析修正前后的腐蚀疲劳寿命分布,得出腐蚀损伤尺寸的检测结果。对腐蚀疲劳寿命的评估影响很大,并且检测技术越可靠,寿命评估越准确。     

我国水源污染事故风险点定量识别方法

水源事故的频发会对城市供水系统产生威胁,有必要针对供水系统风险进行评估和防控。针对水源事故频发及高发因素定量甄别研究,筛选统计了国内近20年来1 900多起水质突发事故案例,梳理了触发水源水质污染的多种因素,通过构建水源水质安全事故树和贝叶斯网络进行了相互验证分析。结果表明：我国水源污染事故主要因素贡献为依次突然排放(0.466)、污染长期累积(0.242)、交通事故(0.109)等;采用贝叶斯网络计算进行验证,其结果与事故树方法一致性较好。该方法有助于水源污染防控工作中风险点甄别和排序,可为我国饮用水安全保障水平的提升提供支撑。     

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.     

兰州市废旧手机产生量预测分析研究

手机普及率日益提高,随之产生的废弃量也日益增多,分别采用时间梯度模型、市场供给A模型、斯坦福(stanford)模型对兰州市2013年-2022年废旧手机的产生量进行了预测.结果显示,不同模型预测结果之间存在较大差异,市场供给A模型和斯坦福(Stanford)模型的预测结果比较接近,均大于时间梯度模型的预测结果,三种模型预测的兰州市2022年废旧手机的产生量分别为40.40万、46.67万和21.04万部.总体上看,兰州市废旧手机的产生量增长趋势较快.     

厌氧-准好氧联合型生物反应器填埋场产气规律的研究

通过将厌氧型生物反应器填埋场（ANBL）和准好氧矿化垃圾生物反应床（SAARB）串联,组成新型的厌氧-准好氧联合型生物反应器填埋场（AN-SABL）,研究其产气速率、产气量以及产气组分的变化规律,以期为填埋气体的收集、利用和处理提供理论依据.实验表明,AN-SABL中的厌氧填埋单元的产气受到了抑制,其中ANBL2号单元和ANBL3号单元的产气率分别为49 L.kg-1和39 L.kg-1,仅占ANBL1号的94.2%和75.0%,但提高回灌频率,能促进厌氧填埋单元的产气,其甲烷含量最大值可达到62.67%;ANBL夏季产气速率和产气量明显高于冬季,并以12 h为周期交替出现产气高峰;此外,AN-SABL能够促进其厌氧单元的硝化和反硝化作用,N2O的含量受季节和填埋场类型影响显著,其变化范围在0.001 7%～4.017 9%之间.ANBL的累积产气量在初始调整阶段呈对数增长,过渡酸化阶段呈线性增长,酸化产甲烷阶段呈指数增长.     

HSPF水文水质模型应用研究综述

HSPF(Hydrological Simulation Program-Fortran)模型采用FORTRAN语言编写,以Stanford水文模型为基础,能够综合模拟径流、土壤流失、污染物传输、河道水力等过程,并大量应用于气候变化与土地利用变化的流域水环境效应情景模拟.该模型是半分布式水文水质模型的优秀代表,在国外得到广泛的应用.HSPF模型包括PERLND、IMPLND与RCHRES等3个主要模块,分别实现对透水地段、不透水地段与地表水体的水文水质模拟.总体来看,HSPF模型在国外水文、水质过程模拟,以及涉及气候变化和土地利用影响的情景分析中发挥重要作用,但是国内该模型的应用非常有限.HSPF模型存在的主要问题包括:①模型中某些方案和算法还有改进和完善的空间;②模型对数据输入要求较高,模拟的精度受到空间和属性等数据的限制;③模型只限于均匀混合的河流、水库和一维水体模拟,对于复杂流域或水体的模拟研究,需要与其它模型整合以解决更加综合的问题.目前,针对发展与完善HSPF模型的研究仍在继续,包括模型平台开发、模型功能扩展、模型校正方法研究、参数敏感性研究等方面.随着我国基础数据的积累及共享程度的提高,HSPF模型在我国的应用也将更加广泛.