基于MIKE 21的长江江山制药排污口水环境影响分析——以江山制药公司污水处理站为例

为分析长江沿岸入河排污口设置对水环境的影响,采用MIKE 21建立了长江马鞍山-高桥段二维非稳态水量水质模型,并以江山制药公司污水处理站为例,对其排污口迁址改建前后的水环境影响进行模拟.结果 表明,较于原排污口排放,拟设排污口在执行新排放标准情况下,对九圩港入江断面水质有改善作用,COD、NH3-N、TP的改善率分别为...     

多泥沙河流水质模型研究

针对黄河泥沙含量大、泥沙对河流CODMn浓度影响大的突出特点,运用模拟实验方法,探讨了泥沙对CODMn浓度的影响,揭示了浑水、清水中CODMn浓度与含沙量间的关系.研究表明,黄河浑水中CODMn浓度随含沙量增大呈显著上升趋势,而去除泥沙后清水CODMn浓度测定值随其原含沙量增大呈微上升趋势.依据质量平衡原理,建立了充分考虑泥沙影响的CODMn衰减经验模型.清水中CODMn浓度的变化采用完全混合反应器概念来模拟,浑水中CODMn浓度通过清水中CODMn浓度与泥沙中CODMn浓度之和来量化.模型基本方程的求解采用稳态解析解.模型中的参数通过利用实际监测数据及室内实验结果与优化结合的方法确定.同时,利用实际监测数据对参数和模型进行检验.结果表明,模型结构合理,参数取值可靠,模型精度较好.模型既能揭示汇流区间人为污染对河段水质的影响,又可以反映作为面污染源的黄河泥沙对污染的影响,可作为水质预测的实用工具及规划管理的依据.     

TA-FTIR/MS用于硝酸铵及其混合物的热化学行为研究

为评价物料混合对危险化学品热化学行为的影响,采用热分析-红外/质谱联用技术(TA-FTIR/MS)研究硝酸铵、柠檬酸和蔗糖的混合物的热化学行为。通过对硝酸铵及其混合物的分解温度和分解过程中逸出气体的分析,发现硝酸铵、柠檬酸和蔗糖的混合物热分解温度分别降低至135℃和153℃,而硝酸铵与甲基纤维素的混合物分解温度与硝酸铵基本相同为201℃,且各混合体系的气相分解产物均有氮氧化物(NOX),H2O和CO2。结果表明,混合物受热后其中的硝酸铵首先分解为硝酸和氨气;酸性物质和还原性物质由于对硝酸的分解反应有催化作用,使得混合物的热稳定性下降。     

不同运行规则下区间列车运行安全性及效率研究

列车区间运行安全是列车运行安全中极为重要的部分,而列车在区间运行的安全性及效率与运行规则密切相关。将闭塞分区及与其配套的通过色灯信号机结合在一起,建立区间模型,给出列车在区间运行的安全性要求,定义列车在区间连续追踪运行的安全度,介绍列车在区间运行的全部3种运行规则及相应的区间阻塞状态。在此基础上,定量计算3种规则的安全度。基于安全性和效率,对列车运行规则进行深入研究,结果表明,3种规则效率相当,规则1安全性最优。     

系统安全态势的马尔科夫预测模型建立及应用

基于马尔科夫链预测理论,分析研究了系统安全态势的定性与定量预测问题,建立了系统安全态势预测模型.定性预测侧重安全态势的升、降趋势分析,定量预测以系统万人死亡率为依据,划分四个安全状态,从而实现系统安全状态定量预测.定性与定量预测相互检验、相互补充.实例研究表明,马尔科夫定性与定量相结合的预测模型结构简单,计算方便,符合系统安全态势预测特征要求,是系统安全宏观管理的重要参考依据之一.     

应用动态模型确定酸沉降临界负荷的探讨

任何一个天然生态系统都是一个稳定系统.在一定酸沉降量的作用下,生态系统最终会平衡在一个新的稳定状态.动态模型可以模拟不同酸沉降量下生态系统化学状态的变化趋势.根据信号与系统理论,这种趋势可以用一阶指数衰减函数进行模拟,以得到系统达到稳定状态时的化学指标值.根据不同酸沉降量和所对应的稳态化学指标值之间的剂量-响应曲线,可以求出当系统稳态化学指标值达到临界化学值时的酸沉降量,即为系统的酸沉降临界负荷.应用这种方法,以MAGIC模型为例,计算了四川峨眉山顶水和重庆南山湖泊的硫沉降临界负荷,分别为1.54和6.5     

Humanitarian governance and the consequences of the state‐fragility discourse in the Democratic Republic of Congo's health sector

This paper examines how the discourse on state fragility affects the preferences of key actors in humanitarian governance for different types of health‐sector interventions in the Democratic Republic of Congo. It argues that, instead of focusing on the actual meaning of state fragility, attention should be paid to interactive processes around the discourse among stakeholders in the health sector. The lack of consensus on state fragility influences humanitarian governance, especially the perceptions of and interactions between the host government, donors, and international non‐governmental organisations. The latter have legitimised the persistence of vertical, emergency‐based interventions by emphasising state fragility, whereas state officials have preferred to assert political statehood and a higher degree of control. Nevertheless, they agree that donors’ financial contributions ensure the survival of the public health sector. Looking ahead, a policy coalition based on harmonised views about addressing fragility is necessary for effective engagement and the sustainability of interventions, but this is unlikely to happen any time soon.     

A Bayesian hierarchical approach to quantifying stakeholder attitudes toward conservation in the presence of reporting error

Stakeholder support is vital for achieving conservation success, yet there are few reliable mechanisms to monitor stakeholder attitudes toward conservation. Approaches used to assess attitudes rarely account for bias arising from reporting error, which can lead to falsely reporting a positive attitude toward conservation (false-positive error) or not reporting a positive attitude when the respondent has a positive attitude toward conservation (false-negative error). Borrowing from developments in applied conservation science, we used a Bayesian hierarchical model to quantify stakeholder attitudes as the probability of having a positive attitude toward wildlife notionally (or in abstract terms) and at localized scales while accounting for reporting error. We compared estimates from our model, Likert scores, and naïve estimates (i.e., proportion of respondents reporting a positive attitude in at least 1 question that was only susceptible to false-negative error) with true stakeholder attitudes through simulations. We then applied the model in a survey of tea estate staff on their attitudes toward Asian elephants (Elephas maximus) in the Kaziranga–Karbi Anglong landscape of northeast India. In simulations, Bayesian model estimates of stakeholder attitudes toward wildlife were less biased than naïve estimates or Likert scores. After accounting for reporting errors, we estimated the probability of having a positive attitude toward elephants notionally as 0.85 in the Kaziranga landscape, whereas the proportion of respondents who had positive attitudes toward elephants at a localized scale was 0.50. In comparison, without accounting for reporting errors, naïve estimates of proportions of respondents with positive attitudes toward elephants were 0.69 and 0.23 notionally and at local scales, respectively. False (positive and negative) reporting probabilities were consistently not 0 (0.22–0.68). Regular and reliable assessment of stakeholder attitudes–combined with inference on drivers of positive attitudes–can help assess the success of initiatives aimed at facilitating human behavioral change and inform conservation decision making.     

Shifting elasmobranch community assemblage at Cocos Island—an isolated marine protected area

Fishing pressure has increased the extinction risk of many elasmobranch (shark and ray) species. Although many countries have established no‐take marine reserves, a paucity of monitoring data means it is still unclear if reserves are effectively protecting these species. We examined data collected by a small group of divers over the past 21 years at one of the world's oldest marine protected areas (MPAs), Cocos Island National Park, Costa Rica. We used mixed effects models to determine trends in relative abundance, or probability of occurrence, of 12 monitored elasmobranch species while accounting for variation among observers and from abiotic factors. Eight of 12 species declined significantly over the past 2 decades. We documented decreases in relative abundance for 6 species, including the iconic scalloped hammerhead shark (Sphyrna lewini) (?45%), whitetip reef shark (Triaenodon obesus) (?77%), mobula ray (Mobula spp.) (?78%), and manta ray (Manta birostris) (?89%), and decreases in the probability of occurrence for 2 other species. Several of these species have small home ranges and should be better protected by an MPA, which underscores the notion that declines of marine megafauna will continue unabated in MPAs unless there is adequate enforcement effort to control fishing. In addition, probability of occurrence at Cocos Island of tiger (Galeocerdo cuvier), Galapagos (Carcharhinus galapagensis), blacktip (Carcharhinus limbatus), and whale (Rhincodon typus) sharks increased significantly. The effectiveness of MPAs cannot be evaluated by examining single species because population responses can vary depending on life history traits and vulnerability to fishing pressure.