Self-consistent kinetic theory with nonlinear wave-particle resonances

We have developed, based on the oscillating-center transformation, a general theoretical approach for self-consistent plasma dynamics including, explicitly, effects of nonlinear(higherorder) wave-particle resonances. A specific example is then given for low-frequency responses of trapped particles in axisymmetric tokamaks. Possible applications to transport as well as nonlinear wave growth/damping are also briefly discussed.     

透视中国综合防灾减灾的主要进展及其挑战和战略对策

系统总结中国自然灾害风险主要特点和综合防灾减灾工作的现状特征,全面梳理综合防灾减灾工作的发展趋势,分析综合防灾减灾面临的三大挑战,提出有针对性和可实施性的五大战略对策。一方面,未来100年中国的气候变暖趋势将进一步加剧,极端天气事件发生的频率将增大,荒漠化、海平面上升、冰川退缩趋势将进一步加重,全球气候变化所引发的各类巨灾和由此触发的各类自然灾害的突发性、并发性、群发性、异常性日益凸显。另一方面,中国能源结构以煤为主,同时是世界上进口石油资源的大国,随着中国经济的发展,未来能源消费和二氧化碳排放量还将持续增长,经济社会发展对能源安全、粮食安全、生态安全提出了更高要求。为适应气候变化背景下的各类灾害带来的不利影响,中国应全面提高监测预警水平,建立综合防灾减灾体系,全面提高应对突发灾害和巨灾的应急能力;推动建立区域综合防灾减灾范式,系统实施绿色经济战略,大力推进节能减排,转变经济发展方式。     

Ten complementary measures to assist with environmental watering programs in the Murray–Darling river system,Australia

Restoration programmes for degraded aquatic ecosystems frequently focus on flow restoration or reinstatement, including recovery targets for volumes of water to be used for environmental benefit. Australia's Murray–Darling Basin is an example of a major system undergoing substantial water reform to balance the needs of competing users, including the environment, within the constraints of an arid climate. This reform revolves around accounting for finite volumes of water that have been shared amongst water users. We argue that while recovering water will provide good outcomes, as a sole intervention, it is not enough to deliver the desired environmental benefits of the reform given the significantly altered state of the catchment. Here, we present 10 measures that could be used to complement planned water recovery actions. These “complementary measures” integrate recovery actions, which when strategically combined with water delivery would significantly enhance water reform efforts to generate environmental outcomes in a highly modified system.     

Adaptation options for wheat in Europe will be limited by increased adverse weather events under climate change

Ways of increasing the production of wheat, the most widely grown cereal crop, will need to be found to meet the increasing demand caused by human population growth in the coming decades. This increase must occur despite the decrease in yield gains now being reported in some regions, increased price volatility and the expected increase in the frequency of adverse weather events that can reduce yields. However, if and how the frequency of adverse weather events will change over Europe, the most important wheat-growing area, has not yet been analysed. Here, we show that the accumulated probability of 11 adverse weather events with the potential to significantly reduce yield will increase markedly across all of Europe. We found that by the end of the century, the exposure of the key European wheat-growing areas, where most wheat production is currently concentrated, may increase more than twofold. However, if we consider the entire arable land area of Europe, a greater than threefold increase in risk was predicted. Therefore, shifting wheat production to new producing regions to reduce the risk might not be possible as the risk of adverse events beyond the key wheat-growing areas increases even more. Furthermore, we found a marked increase in wheat exposure to high temperatures, severe droughts and field inaccessibility compared with other types of adverse events. Our results also showed the limitations of some of the presently debated adaptation options and demonstrated the need for development of region-specific strategies. Other regions of the world could be affected by adverse weather events in the future in a way different from that considered here for Europe. This observation emphasizes the importance of conducting similar analyses for other major wheat regions.     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

Limitations,challenges, and solution approaches in grid-connected renewable energy systems

In the modern world, only conventional energy resources cannot fulfil the growing energy demand. Electricity is a fundamental building block of a technological revolution. Today, most of the electricity demand is met by the burning of fossil fuels but at the cost of adverse environmental impact. In order to bridge the gap between electricity demand and supply, nonconventional and eco-friendly means of energy generation are considered. Renewable energy systems (RESs) offer an adequate solution to mitigate the challenges originated due to greenhouse gasses (GHG). However, they have an unpredictable power generation with specific site requirements. Grid integration of RESs may lead to new challenges related to power quality, reliability, power system stability, harmonics, subsynchronous oscillations (SSOs), power quality, and reactive power compensation. The integration with energy storage systems (ESSs) can reduce these complexities that arise due to the intermittent nature of RESs. In this paper, a comprehensive review of renewable energy sources has been presented. Application of ESSs in RESs and their development phase has been discussed. Role of ESSs in increasing lifetime, efficiency, and energy density of power system having RESs has been reviewed. Moreover, different techniques to solve the critical issues like low efficiency, harmonics, and inertia reduction in photovoltaic (PV) systems have been presented. Unlike most of the available review papers, this article also investigates the impact of FACTS technology in RESs-based power system using multitype flexible AC transmission system (FACTS) controllers. Three simulation models have been developed in MATLAB/Simulink. The results show that FACTS devices help to maintain the stability of RESs integrated power system. This review paper is believed to be of potential benefit for researchers from both the industry and academia to develop better understanding of challenges and solution techniques for REs-based power systems and future research dimensions in this area.     

Environmental contours for circular‐linear variables based on the direct sampling method

Environmental contours are often used in the design of engineering structures to identify extreme environmental conditions that may give rise to extreme loads and responses. The perhaps most common application of environmental contours is for wave climate variables such as significant wave height and wave period. However, for the design of wind energy installations, the joint distribution of wind speed and wind direction may be equally important. In this case, joint modelling of linear (wind speed) and circular (wind direction) variables are needed, and methods for establishing environmental contours for circular‐linear variables will be required. In this paper, different ways of establishing environmental contours for circular‐linear variables will be presented and applied to a joint distribution model for wind speed and wind direction. In particular, the direct sampling approach to environmental contours will be modified to the case where one of the variables is cyclic. In addition, contours based on exceedance planes in polar coordinates will be established, and circular‐linear contours will also be calculated based on the inverse FORM (I‐FORM) approach.     

CMIP5气候模式对未来30年太阳辐射变化的预估研究

使用CMIP5中33个全球气候模式的模拟数据,选择中位数集合方案,分别在RCP4.5和RCP8.5情景下对2006~2050年全球所有天气条件下地表接收到的太阳辐射、无云条件下地表接收到的太阳辐射、相对湿度、近地层风速、近地层气温和云量的变化进行预估研究。结果表明:1)在RCP8.5情景下,气温的增温率在50°N以北地区最大,达0.12 K/a。同时北半球增温率大于南半球,陆表气温的增温率大于海表气温;2)在RCP4.5和RCP8.5情景下,中国东南部和欧洲中东部地区的地表太阳直接辐射呈现较大正趋势;3)在所选3个区域中,不同RCP情景下地表太阳辐射均呈现正趋势,其中在RCP8.5情景下法国波尔多地表太阳辐射呈现最大正趋势。     

Identification of factors that accelerate hydrogen production by Clostridium butyricum RAK25832 using casamino acids as a nitrogen source

The ability of Clostridium butyricum RAK25832 to use casamino acids as a nitrogen source was investigated. Strain RAK25832 showed the capacity to utilize different types of carbon sources. With glucose as a carbon source (10 g/L), the preferred final concentration of casamino acids was 26.67 g/L, with a cumulative hydrogen production, production rate, and yield of 2505 mL H₂/L, 160 mL/h, and 1.81 mol H₂/mol glucose, respectively. Eighteen metal elements were screened to identify the most important metals for biohydrogen production, and four elements were optimized. The optimal medium composition was MgCl₂·6H₂O (0.1 g/L), K₂HPO₄·3H₂O (6.67 g/L), NaHCO₃ (2.6 g/L), and FeCl₂·4H₂O (0.002 g/L). Vitamin supplementation of the medium showed no significant effect on hydrogen production. Under the optimized conditions, cumulative hydrogen production reached 3074 mL H₂/L. This is the first study to demonstrate the use of casamino acids as a nitrogen source by C. butyricum.     

银额盆地路井凹陷下白垩统巴一段储层特征及其影响因素

近年来,银额盆地路井凹陷的油气勘探取得了一些成果,但其勘探程度低且地质条件复杂,储层特征及其影响因素尚不明确。本文从储层岩石学特征着手,运用常规物性分析、岩石薄片及铸体薄片等资料分析了储层特征,从沉积相、压实作用、岩屑组分和粒度等方面探讨了储层的影响因素。巴一段储层岩性主要为岩屑砂岩和长石岩屑砂岩,砂岩多呈粗粒砂状结构,磨圆度差到中等,分选中到差。胶结类型主要为孔隙式胶结,成分成熟度较低。平均孔隙度5.2%,平均渗透率0.58×10^-3μm^2。储层孔隙类型主要有粒间孔和粒间溶孔,次生孔隙构成较主要的储集空间。储集层主要分布在扇三角洲前缘。储层物性随着深度的增加而变差,但局部存在高渗带,可能与酸溶作用有关,随着勘探的进一步深入,需要进一步研究。