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.     

Effects of planned expansion of waste incineration in the Swedish district heating systems

Recent targets for reduced amounts of waste to landfills in Sweden will result in a large increase in waste incineration with recovery of energy, used primarily for district heating. The aim of this study is to investigate what changes in the usage of other fuels and technologies for district heat production would be caused by this increase. A questionnaire was sent out to the largest district heating companies, and simulations in an energy systems model were carried out. The analysis shows that increased waste incineration reduces the demand for other fuels, especially biomass, for district heat production. The effects include reductions in operating hours as well as the avoidance or postponement of investments in new plants for district heat production. Increased waste incineration will also lead to a greater use of district heating in Sweden.     

工业点源大气污染扩散空间信息系统

开发了一个基于高斯扩散的大气污染扩散空间信息系统,用于模拟工业点源污染对区域大气质量的影响。该工业点源污染模型包括工业点源数据库、扩散参数、气象条件和大气质量评价4个主要数据库。用该模型计算上海市主要工业区的SO2排放,结果表明,该模型为模拟SO2污染扩散提供了一个有效便捷的方法。     

垃圾场渗出污水厌氧处理的可行性研究

采用血清瓶静态试验法研究了垃圾渗出污水的厌氧处理的可行性。试验表明:垃圾渗出污水对厌氧发酵微生物无抑制作用,有良好的厌氧降解性,产气率为0.321/g·COD,污水中的大部份有机物都能被厌氧消化,COD_cr去除率为78.2%,发酵过程中还能获得能源——沼气。具有良好的应用前景。     

不同共代谢基质对四氯乙烯的厌氧生物降解研究

用驯化好的厌氧污泥对葡萄糖、乳酸盐和醋酸盐作为电子供体时四氯乙烯(PCE)的降解进行研究。实验结果表明,PCE是通过还原脱氯发生生物降解的。实验的回归结果表明,反应均符合一级动力学反应速率,常数的大小依次为k乳酸>k葡萄糖>k醋酸。表明乳酸盐作为电子供体时PCE的降解速率较快,说明在实验条件下乳酸盐是最合适的电子供体。并且在整个实验过程中由共代谢基质提供的电子供体不是PCE降解的限制因素。     

污泥厌氧消化反应器CFD数值模拟研究进展

污泥作为典型的不透明非牛顿流体,在厌氧消化反应器内的流场具有复杂性,难以直接进行流场测试分析。结合计算流体力学（CFD）技术,分析污泥厌氧消化反应器内的流场分布情况,探讨污泥在反应器内混合效果和对消化过程的影响,以验证校核反应器优化设计和运行,改善污泥在消化反应器内的流动和混合性能并最终提高反应器性能。在综合文献及前期研究工作的基础上,系统分析并重点关注了CFD数值模拟过程当中多相流模型和湍流模型的选取、污泥流变特性应用、反应器流场评估优化及耦合生化模型等的研究现状及进展,最后总结了目前污泥厌氧消化反应器CFD数值模拟过程存在的问题。并指出在考量污泥流变学特性的基础上,利用传质模型将反应器流场和生化过程相耦合,构建流场-生化耦合模型,获取基质转化规律,为优化污泥厌氧消化反应器设计运行提供理论依据,是CFD应用于厌氧消化反应器数值模拟的发展方向。     

生活污泥与煤混烧及热解特性

采用热重分析法,对生活污泥与煤以1∶1质量比混合的试样进行燃烧及热解实验研究,重点分析了升温速率对其热解及燃烧特性的影响,为煤泥混烧及热解技术的工业化应用提供理论支持。结果表明：煤泥混合样燃烧失重分为4个阶段,混燃过程中污泥与煤共同影响着混合试样的燃烧特性,随着升温速率从15 ℃·min-1增加到50 ℃·min-1,其可燃性指数C增幅达60%和综合燃烧特性指数S提高了4倍多,燃烧性能得到明显提高;煤泥混合样的热解失重分为2个阶段,各阶段热解的挥发份最大析出速率（dw/dt）max及挥发分析出特性指数D均随升温速率的升高而大幅增大,且试样总的挥发综合释放指数D从0.081 7×10-8K-3·min-2增大到5.868×10-8K-3·min-2,可见升温速率越高,煤泥混合物的热解性能越好。     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

九孔鲍摄食江蓠与人工配合饵料的能量收支比较

通过投喂江蓠 (Gracilariaceaelicheniodes)和配合饵料对九孔鲍 (Haliotisdiversicoloraquatilis)的能量收支进行了比较研究 .结果表明 :两种饲料组的九孔鲍耗氧率在昼夜之间均并没有明显差异 (P >0 .0 5 ) ,九孔鲍摄食两种饵料的吸收率也没有显著差异 (P >0 .0 5 ) ,而饵料系数、蛋白质效率、总生长效率则有显著的差异 (P <0 .0 5 ) .配合饵料组的排泄能显著高于江篱组的 (P <0 .0 5 ) ,而代谢能和粘液能却显著低于江篱组的 (P <0 .0 5 ) ,两组饲料的排粪能和壳能没有显著差异 (P >0 .0 5 ) .因壳能很少 ,在测定中可以忽略 .配合饵料组的软体部生长能显著高于江篱组的 (P <0 .0 5 ) .摄食江蓠和配合饵料的九孔鲍能量收支方程分别为 :江蓠组10 0C =(12 .76± 1.2 2 )F (76 .4 7± 5 .33)R (2 .74± 0 .4 0 )U (6 .75± 0 .4 6 )M (2 .78± 0 .4 8)Pg (0 .0 3±0 .0 1)Psh- (1.5 3± 4 .19)配合饵料组10 0C =(12 .15± 1.6 9)F (5 4 .94± 5 .10 )R (4.5 0± 0 .70 )U (3.99± 0 .0 7)M (2 9.79± 4 .77)Pg (0 .0 3±0 .0 1)Psh- (5 .4 0± 7.4 3)     

Stochastic bycatch, informational asymmetry, and discarding

The existing literature (i) examines bycatch and discard behavior in a static framework and (ii) treats bycatch as a deterministic process uniform across vessels. Using a dynamic representative agent model in a two-stock resource, this paper explores strategic interactions between a social planner and two groups of harvesters, one of which imposes a stochastic “technological externality” (bycatch) on the other. In addition to limitations on entry and the number of trips taken in each industry, three bycatch control instruments are compared to the unconstrained case: taxes, trip limits, and value-based quotas. Implementation and enforcement costs aside, taxes dominate both types of quota, and value limits outperform trip limits by eliminating one type of discarding. In simulations, relative performance depends upon variance in the bycatch process, differences in the ex vessel prices of stocks, relative efficiency of the harvester types, and fixed costs on the trip and industry margins.