长期秸秆还田对潮土真菌群落、酶活性和小麦产量的影响

为了研究秸秆还田对黄淮海平原潮土真菌群落的影响,开展连续10 a田间定位试验,设置不施肥（NF）、单施化肥（NPK）和秸秆还田配施化肥（NPKS）这3个处理,通过网络分析和结构方程模型,揭示真菌群落对土壤肥力、酶活性和小麦产量的影响机制.结果发现,NPKS处理土壤有机质（SOM）较NPK处理和NF处理分别升高9.20%和34.75%,碱解氮（AN）升高12.03%和39.17%,脱氢酶（DHA）升高37.21%和50.91%,β-葡糖苷酶（β-GC）升高17.29%和73.48%,小麦增产16.22%和125.53%.不同施肥处理真菌α-多样性并未发生显著变化,却导致β-多样性出现明显分异.冗余分析表明,速效磷（AP）、SOM和AN是潮土真菌群落组成变化的主要调控因素.差异物种分析表明,NF处理富集了Mortierella、Aspergillus、Ceriporia和Acremonium等具有溶磷/解钾功能的物种,以及Leohumicola和Hyalodendriella等植物共生菌;NPK处理中Sarocladium、Fusarium和Fusicolla等植物病原菌丰度显著升高;NPKS处理则激发了Pseudogymnoascus和Schizothecium等抑病菌生长,并提高Trichocladium和Lobulomyces等秸秆降解物种丰度.网络分析发现整个网络由4个主要模块组成,其中模块2物种累积丰度在NPKS处理显著升高,且与DHA和β-GC呈线性正相关关系.结构方程模型结果进一步表明小麦产量主要受SOM直接正向调控,而模块2物种可通过正向调节DHA和β-GC,间接影响SOM和小麦产量.综上所述,黄淮海平原潮土区秸秆还田可通过调节真菌种间互作关系,刺激特定物种集群生长,抑制病原菌活性,提高土壤酶活性,促进SOM累积,最终获得作物高产.     

地下水环境监测井评估体系构建研究

为科学开展监测井评估,选择井口保护装置/井口状况、井管内径、上部井管保存状态、是否串层、井结构保存状态、井的连通性6个指标,建立监测井维护评估和监测井功能评估方法,构建地下水环境监测井评估体系。监测井维护评估最终的评估结果分为无需修复、修复和报废,用于指导地下水环境监测井维护管理,使之满足长期监测要求;监测井功能评估最终的评估结果分为监测功能良好、监测功能一般和不具有监测功能,用于判定监测井的监测功能状况,是否可以执行当前监测任务。研究可为健全地下水环境监测网络,规范开展地下水环境监测提供技术支撑。     

基于毕达哥拉斯模糊贝叶斯网络的海底管道泄漏风险分析*

为分析海底管道运行中存在的泄漏风险,提出1种基于毕达哥拉斯模糊数与贝叶斯网络的风险评估模型。首先,通过毕达哥拉斯模糊数转换专家定性评价,拓展专家意见模糊范围;然后,结合主客观组合赋权法,利用毕达哥拉斯梯形爱因斯坦混合几何算子（PTFEHG）实现专家意见的聚合;最后,通过贝叶斯网络的推理与敏感性分析,计算海底管道泄漏风险的失效概率,并辨识关键风险因素。研究结果表明:该方法可以结合专家意见对海底管道泄漏风险进行定量分析,并识别导致泄漏事故的关键风险因素,对海底管道安全管理具有指导意义。     

基于CNN_LSTM模型的复杂支路故障电弧检测*

在低压交流配电系统中,当多支路并联的复杂系统的某1支路中出现串联电弧故障时,识别难度大幅提升。为了预防此类情况引发的电气火灾,提出1种卷积神经网络(CNN)与长短时记忆网络(LSTM)结合的串联故障电弧检测方法。首先,搭建实验平台用以采集不同负载在不同支路下发生故障时和正常工作时的干路电流数据;然后,构建CNN_LSTM模型并做出相应改进,将电流数据直接输入到模型中,由模型自主提取波形特征并进行分类。研究结果表明:该方法可以快速、准确地识别出电弧故障,准确率达99.04%以上,且能够较为准确地检测出是哪类负载所在的支路发生电弧故障,准确率达97.90%,可为复杂支路下的电弧故障识别研究提供参考。     

东部平原矿区复垦土壤微生物群落特征及其组装过程

复垦对恢复矿区土壤生产力极为重要,但复垦土壤生产力重建的微生物学机制尚不清晰.为此,采集复垦8 a、复垦11 a、复垦14 a和复垦17 a这4个复垦时长和1个未复垦对照共75个表层土样进行16S rRNA扩增子高通量测序,分析微生物群落组成、潜在功能及其组装机制.结果表明：(1)群落丰富度随复垦时间增加而增加,且高于对照样.但群落多样性和均匀度却随复垦时间增加而降低(P<0.05);(2)复垦土壤中酸杆菌门(Acidobacteria)、绿弯菌门(Chloroflexi)、变形菌门(Proteobacteria)和拟杆菌门(Bacteroidetes)占主导地位,且前两者相对丰度显著高于对照样(P<0.05),后两者则相反(P<0.05);(3)复垦土壤中辅酶转运与代谢、翻译、核糖体结构与生物发生等8种功能呈正向演替,随复垦时长不断增强;(4)平原矿区微生物群落生态网络模块性良好,且关键类群多属酸杆菌门和拟杆菌门.群落组装以确定性过程为主导,同质性选择贡献最大,主要受当地特殊环境操控.这些发现为改善复垦土壤生产力和生态服务提供了理论依据.     

Assessing Spatial Scale Effects on Hydrometric Network Design Using Entropy and Multi‐objective Methods

In order to facilitate water resources decisions, it is important that accurate and informative hydrometric data are collected. Combining information theory with multi‐objective optimization has led to methods of optimizing the information content provided by hydrometric networks; however, there is no available study on the effects of spatial scale and data limitation on these methods. Herein, a dual entropy multi‐objective optimization (DEMO) and a transinformation (TI) analysis were done to recommend optimal locations for additional hydrometric stations in the Madawaska Watershed. This analysis was designed to be comparative to a similar study conducted on the Ottawa River Basin which encompasses the Madawaska Watershed to allow for an investigation of the spatial scale effects in this type of network design. This study concludes that TI analysis is not adversely affected by scaling; however, the DEMO analysis is sensitive to the placement of potential station locations and the size of the study area. This study also examines the benefit of including nearby stations when the area of interest does not have a sufficient number of existing hydrometric stations for analysis. It is shown that these stations can provide useful information because their inclusion in the analysis increased the average TI in the watershed. Recommendations were made as to the ideal locations of additional stations in the Madawaska Watershed hydrometric network.     

Les Reciproqueteurs: post-regulatory corporatism

ABSTRACT

Reflexive governance can be understood as an emergent encapsulated trust-building corporatism where network participants are neither state functionaries nor market entrepreneurs but network reciproqueteurs. This paper argues that such reflexive network governance results in a post-regulatory corporatism (PRC)—a more adaptable, less formalized, and flexible mode of interest intermediation, policy-making, and policy-implementation than previous modes of corporatist intermediation. Functional differentiation processes engender ‘negotiated connected contracts' in rescaled space in between inter-regional assemblages, a mode of structurally coupling new social partners in the emergent transnational knowledge-based economy. This involves the building of new social capital of network trust-building manifested in the norms of reciprocity and reflexive law constituted as a new mode of protocolism: one associated with the social learning and policy designing necessary for ecological systems' autopoeisis, resilience, and sustainability. This paper conceptualizes reflexive network governance as protocolism in constellations of PRC and discusses examples from the area of environmental policy-making. PRC is understood as a new mode of negotiated rule-making: as a recursive protocolism of multi-stakeholder social pacts constituted by frame agreements and negotiated connected network contracts.     

Is Learning without teaching possible? The productive tension between network governance and reflexivity

ABSTRACT

Theories of reflexive governance are closely linked with the claim that more traditional modes of coordination have been replaced by networked structures, allowing reflexivity to emerge and reflexive learning to function as a steering mechanism in rapidly changing policy contexts. This paper explores this connection between reflexivity, governance, learning and networks in societal transitions, focusing particularly on the claim that networks will deliver reflexive learning. Using network theories from both policy networks and network governance and a case study of the Canadian agricultural biotechnology (agbiotech) policy network, it suggests that the kind of learning produced in networks will be a function of network structure. In particular, higher order reflexive learning will be compromised by the inevitability of the political struggle for nodality or central place in networks and the ensuing distribution of opportunities for bridging and bonding activities. Networks such as the Canadian agbiotech policy network that may promote learning but not necessarily reflexive learning are increasingly disadvantaged in contemporary policy settings.     

Design and optimization of new La1−xCexNi1−yFeyO3 (x,y = 0–0.4) nano catalysts in dry reforming of methane

The paper reports the production of syngas from dry reforming of methane (DRM) over La_1?xCe_xNi_1?yFe_yO₃ (x, y = 0–0.4) perovskites. A series of La_1?xCe_xNi_1?yFe_yO₃ were designed by central composite design (CCD) and synthesized by a sol–gel auto combustion method. Artificial neural network (ANN) approach was used to determine the relationship between preparation and operational parameters on the performance of the catalysts in the DRM process. Nickel mole fraction, lanthanum mole fraction, calcination temperature, and reaction temperature were considered as input variables, and conversion of methane was considered as the output variable. An ANN model with nine neurons in the hidden layer was the suitable in predicting conversion of methane. The genetic algorithm (GA) was subsequently used to determine the optimal preparation condition for enhancing the conversion of methane. La_0.6Ce_0.4Ni_0.99Fe_0.01O₃ catalyst, calcined at 756°C was obtained to be the most active catalyst owing to the optimal composition of nickel and lanthanum in the catalyst formulation.     

基于步降应力加速贮存试验的电缆网贮存寿命评估

目的针对某型电缆网开展加速贮存试验设计,并通过试验预测产品贮存寿命。方法基于步降应力加速贮存试验方法,结合Arrhenius模型,利用对数正态分布的极大似然估计法,对试验结果进行评估。结果根据加速贮存试验结果,在较短时间内评估得到电缆网的贮存寿命,评估得到电缆网在25℃下的平均寿命点估计值在20年以上,并获得其加速模型和加速因子。结论为电缆网贮存寿命的定量评估提供了一种参考方法,为武器装备延寿整修提供依据。