Industrial Scientific Research Research Articles

Maximizing Waste-to-Energy Potential: Optimizing Batch Torrefaction Reactor of Refused-Derived Fuel for Efficient Gasification

Abstract Refuse-derived fuel (RDF) from municipal solid waste (MSW) is a promising alternative to fossil fuels, but its varied composition can impede direct gasification. This industrial research project conducted a series of batch experiments to assess four key parameters: energy yield, mass yield, energy density, and combustion characteristics in the context of RDF torrefaction. The batch reactor processed RDF samples at temperatures of 250°C, 300°C, and 350°C, each with a 30- minute residence time under an inert atmosphere. In addition, Combustion TGA experiments, involving heating torrefied RDF up to 1000°C at a rate of 20°C/min, provided further insights into the robust combustion properties of the torrefied material. Unlocking the secrets of torrefaction magic, we've achieved remarkable energy content boosts. Torrefaction at 250°C, 300°C, and 350°C led to energy content enhancements of 22%, 29%, and 37%, respectively, compared to the original RDF. Notably, the most favorable energy yield was achieved during torrefaction at 250°C, attributed to both its relatively high energy content and mass yield. At a torrefaction temperature of 250 °C and above, the torrefied RDF samples exhibited heating values comparable to standard coal ranges between 25-35 MJ/kg. It is suggested that torrefaction of RDF is an effective pre-treatment process to be used in entrained flow gasifier due to the improved higher heating value, higher energy density, and superior combustion characteristics, proved by the ignition index, flammability index, and burnout index, highlight the effectiveness of the torrefaction process.

Collaboration in Decarbonisation Research: Comparing the UK and European Funding Landscape

Industrial decarbonisation has become an increasingly important policy issue in recent years, as governments and nations aim to tackle the climate crisis. This study makes use of UK research council and Horizon 2020 data to map the research landscape for industrial decarbonisation. This includes an analysis of 435 projects funded by various UK research councils, and 239 projects funded under Horizon 2020 linked to industrial decarbonisation. This study finds in the UK case, University–Industry–Government links are critical elements of the decarbonisation research landscape. Universities playing key roles in the UK system are often members of the prestigious Russell Group. In the case of the European industrial decarbonisation landscape (as captured by projects funded under Horizon 2020), private firms play a crucial role. This study also maps a country-to-country collaboration network based on industrial decarbonisation research projects funded under Horizon 2020. This study examines the link between country position in the network and share of electricity consumption that comes from coal; no significant relationship is identified.

Application of PISA method for monopile design in layered soil

The foundation design for offshore wind turbines (OWTs) is critical to ensuring their structural integrity and long-term stability. Large-diameter monopiles are widely used for OWTs owing to their proven effectiveness. The conventional design approach, derived from the oil and gas industry’s p-y model, has limitations when applied to monopiles for OWTs. Consequently, a novel design method based on the PISA joint industry research project was developed, which extends beyond the traditional lateral soil resistance (p-y curves) and incorporates additional soil reaction components from shaft friction, pile base shear, and base moment. Unlike the simplistic rule-based conventional approaches, the proposed method necessitates site-specific 3D finite element (FE) simulations for precise calibration of soil reaction curves. Although successfully applied in European offshore wind farms, the PISA method’s performance in regions with distinct seabed compositions, such as China, remains to be verified. Therefore, this paper presents a comprehensive case study conducted at the Xiangshan wind farm, a representative site characterized by layered soil. The study employed in-situ investigations (cone penetration test, borehole) and laboratory tests (direct simple shear, bender element) to delineate the seabed soil profile and derive essential soil parameters for accurate foundation design. To facilitate the design, an Abaqus-based design tool was developed, which automated the extraction of soil reaction curves from the 3D FE simulations, calibration of PISA springs, and execution of one-dimensional beam-spring analyses employing Timoshenko beam theory. Comparative analyses were performed on the computed responses of piles, encompassing load-deflection curves, pile deflections, and bending moment profiles. The outcomes from the 3D FE simulations, uncalibrated rule-based PISA model, and calibrated PISA model were compared to validate the PISA method for monopile design in layered soil conditions.

Industrial Research Project Report Recruitment and Selection

The project report delves into the Recruitment and Selection Process at Sysmind Tech Pvt. Ltd., offering a detailed analysis rooted in real-world corporate experience. It highlights the HR department's structure, functions, and decision- making procedures related to recruitment and selection. Recognizing human resources as a vital corporate asset, the report underscores the importance of recruiting individuals with the requisite skills, qualifications, and experience to achieve company objectives. Successful recruitment hinges on meticulous job and labor market analysis. Recruitment is integral to effective management, with failures in this process posing risks to a company's profitability and staffing levels. Recruitment is not merely a selection process but involves strategic decision- making and thorough planning to onboard the most suitable talent. Intensified competition among businesses has sharpened the focus on innovation, prompting recruiters to seek candidates aligned with the organization's culture, ethics, and climate. Furthermore, the report elucidates the significance of recruitment within the broader management context, highlighting the potential ramifications of recruitment failures, such as adverse effects on profitability and inadequate staffing or skill levels. It stresses that recruitment is not merely a selection process but entails strategic decision-making and meticulous planning to ensure the acquisition of the most suitable talent. Moreover, the report sheds light on the evolving landscape of recruitment, characterized by heightened competition among businesses. Recruiters are increasingly focusing on innovation and aligning candidates with the organization's culture, ethics, and climate. This necessitates a nuanced approach to recruitment characterized by astute management decision-making and a keen understanding of organizational dynamics.

Mechanical analysis of a carbon fibre composite woven composite laminate for ultra-light applications in aeronautics

Carbon fiber composites have emerged as a transformative technology, offering a fascinating alternative to traditional materials like aluminum and steel. Their unique combination of high strength, stiffness, and reduced density makes them an ideal choice for lightweight structural components, an attribute that aligns with the pursuit of fuel-efficient and eco-friendly aircraft designs. With the continuous race between countries and research organizations to find new materials that satisfies the above-mentioned characteristics, this article highlights the utilization of a new Ultra-Light Carbon-based Composite (ULCC) in the aeronautical sector developed within the industrial research project TERSA (Radar technologies for autonomus flying vehicles or TEcnologie Radar per Sistemi aerei a pilotaggio remoto (SAPR) Autonomi in italian). The composite material has been developed with the aim of achieving superior performance and efficiency compared to existing products on the market. To evaluate its effectiveness, first, the mechanical properties of the ULCC have been compared to T300/Epoxy and T1000/Epoxy, two of the materials commonly used in aeronautical industry and unmanned aerial vehicle (UAV). Second, finite element models were employed to verify and analyze the dynamic properties of aeronautical structural components made of ULCC. The results indicate that the new carbon-based composite exhibits remarkable strength-to-weight ratio, enhanced durability, and offering significant advantages in terms of weight reduction and overall performance. These findings validate its potential as a viable alternative in aeronautical industry.

Assessment of the most energy consuming items in professional espresso coffee machines

This paper discusses the first development of the industrial PhD project research project sponsored by Simonelli Group at Politecnico di Milano, aimed to develop and patent a heating system technology that enhances the energy efficiency of professional coffee machines. This paper crosses the issue of the sustainable design of products through a qualitative life cycle assessment on three professional coffee machines of Simonelli Group. The LCA analysis considers the manufacturing, use, and disposal phases. The analysis was performed using the Simapro software that integrates the Ecoinvent3 database. The life cycle impact assessment is carried out in accordance with other case studies in the literature, relying on the parameter "GWP" in accordance with the IPCC method. Laboratory tests are used to assess the kWh of energy consumed during the use phase of professional coffee machines. Following that,” use phase scenarios" were created for the life cycle impact assessment, based on existing scenarios in the literature, and elaborated with the company's marketing support. The findings indicate that the most critical environmental phase is the use phase and that the heating elements are the most energy-consuming items in professional coffee machines. Click here and insert your abstract text.

Enabling Industry 4.0 Transformation in Calabria region: Framework, Machine Interconnection and ERP Synergy

The work describes some peculiar aspects of industrial research project mainly based on the implementation of technologies enabling Industry 4.0 paradigm in the region Calabria, Italy. In particular, the focus is on the I4.0 Framework, machine interconnection and the role of Enterprise Resource Planning (ERP) systems. Since Calabria is a less developed Region, the adoption of Industry 4.0 technologies can be a greater opportunity for local small and medium enterprises (SMEs) to boost their manufacturing processes and, consequently, economic development. The Framework 4.0 offers a structured approach to integrate various industrial components, optimising production lines and supply chains. Machine interconnection is a crucial aspect of Industry 4.0, creating intelligent networks that enable real-time data analysis and autonomous decision-making. By incorporating Internet of Things (IoT) sensors and data analytics, Calabrian industries can achieve enhanced productivity and predictive maintenance. Integration with the Framework 4.0 provides end-to-end visibility, supporting better planning, informed decision-making and improved collaboration. However, the adoption of Industry 4.0 in Calabria presents challenges, including the need for substantial investments in technology and infrastructure, upskilling the workforce and addressing cybersecurity vulnerabilities. In conclusion, Industry 4.0 holds transformative potential for Calabria's industries and the ones belonging to other less developer European regions; leveraging the Framework 4.0, machine interconnection, and ERP systems, the regions can achieve increased competitiveness and sustainable economic growth in the Fourth Industrial Revolution.

A Hybrid-Cryptography Engine for Securing Intra-Vehicle Communications

While technological advancements and their deep integration in connected and automated vehicles is a central aspect in the evolving trend of automotive industry, they also depict a growing size attack surface for malicious actors: the latter ones typically aim at exploiting known and unknown security vulnerabilities, with potentially disastrous consequences on the safety of vehicles, people, and infrastructures. In recent years, remarkable efforts have been spent to mitigate security vulnerabilities in intelligent and connected vehicles, in particular in the inside of vehicles, the so-called intra-vehicle networks. Despite those efforts, securing intra-vehicle networks remains a non-trivial task due to their heterogeneous and increasingly complex context. Starting from the above remarks and motivated by the industrial research and innovation project EMERGE, in this paper we report on a novel cryptographic hardware-software solution that we have designed and developed for securing the intra-vehicle network of intelligent connected vehicles: the Crypto-Engine. The Crypto-Engine relies on a lightweight hybrid-key cryptographic scheme to provide confidentiality and authentication without compromising the normal communication performance. We tested the Crypto-Engine and demonstrated that, once configured according to application-defined performance requirements, it can authenticate parties and secure the communications with a negligible overhead.

A flow cytometry method for safe detection of bacterial viability.

Flow cytometry is a relevant tool to meet the requirements of academic and industrial research projects aimed at estimating the features of a bacterial population (e.g., quantity, viability, activity). One of the remaining challenges is now the safe assessment of bacterial viability while minimizing the risks inherent to existing protocols. In our core facility at the Paris-Saclay University, we have addressed this issue with two objectives: measuring bacterial viability in biological samples and preventing bacterial contamination and chemical exposure of the staff and cytometers used on the platform. Here, we report the development of a protocol achieving these two objectives, including a viability labeling step before bacteria fixation, which removes the risk of biological exposure, and the decrease of the use of reagents such as propidium iodide (PI), which are dangerous for health (CMR: carcinogenic, mutagenic, and reprotoxic). For this purpose, we looked for a non-CMR viability dye that can irreversibly label dead bacteria before fixation procedures and maintain intense fluorescence after further staining. We decided to test on the bacteria, eFluor Fixable Viability dyes, which are usually used on eukaryotic cells. Since the bacteria had size and granularity characteristics very similar to those associated with flow cytometry background signals, a step of bacterial DNA labeling with SYTO or DRAQ5 was necessarily added to differentiate them from the background. Three marker combinations (viability-DNA) were tested on LSR Fortessa and validated on pure bacterial populations (Gram+ , Gram- ) and polybacterial cultures. Any of the three methods can be used and adapted to the needs of each project and allow users to adapt the combination according to the configuration of their cytometer. Having been tested on six bacterial populations, validated on two cytometers, and repeated at least two times in each evaluated condition, we consider this method reliable in the context of these conditions. The reliability of the results obtained in flow cytometry was successfully validated by applying this protocol to confocal microscopy, permeabilization, and also to follow cultures over time. This flow cytometry protocol for measuring bacterial viability under safer conditions also opens the prospect of its use for further bacterial characterization.

Towards Industry 5.0: Developing Knowledge and Skills in a Research and Innovation Lab

The challenging global environmental, economic, and societal transformations urge Norwegian industry to capitalize on all value creation from the manufacturing processes. For many companies, this implies taking manufacturing back to Norway. However, high labour costs do not allow Norway to compete in the global market, and therefore industry needs to take advantage of state-of-the-art technologies. Norwegian society is experiencing a steep learning curve: the acquisition of new knowledge and skills for engineers and managers in companies, while simultaneously transforming and aligning educational programs in universities with Industry 4.0 and Industry 5.0. This research presents a knowledge management perspective of the Industry 5.0 competence platform from the viewpoint of Manulab, a research and innovation lab specializing in Industry 4.0 technologies for the small-scale production of customized products. Located at the Norwegian University of Science and Technology in Ålesund, Manulab collaborates closely with regional industries, including marine, maritime, furniture, and food production, as well as suppliers to these sectors. While Industry 4.0 concepts developed in Manulab have significant potential for value creation, companies and stakeholders have yet to fully capitalize on them. To address this issue, the research adopts Nonaka and Takeuchi's organizational knowledge creation model and applies it to the competence building processes in Manulab, investigating the contribution from different knowledge workers to each phase. The term "knowledge workers" refers to individuals with specialized knowledge and expertise who create value for their organization. The study shows that involving additional knowledge workers in various phases of the Manulab competence building process is crucial for successful implementation of research projects in industry. Furthermore, this human-centric approach can assist companies in transitioning to the Industry 5.0 paradigm. The research is a collaborative effort among researchers, students, and employees holding various positions within industrial companies.

Additive Manufacturing Through 3D Printing FDM-Fused Deposit Modeling of Lubrication Ring

It presents an element of absolute novelty for industrial scientific research in Romania, the fact that the housing of the washing head and other landmarks of the washing head from the FA100 water well drilling installations. FA125, FH150 and FG40 were made by additive manufacturing by 3D printing with PETG and ABS+ filament.

Towards a sense of urgency for innovation realization: a case study on complacency asymmetries in interorganizational relations

This paper seeks to explore the concept of complacency as a barrier to the sense of urgency within product innovation, by investigating the concept on behalf of interfirm project partners. More specifically, the study aims to understand complacency within the context of an industrial research project in Norway subject to material substitution of an energy transmission tower. As such, the study seeks to give a contextual understanding of complacency for innovation realization (e.g., innovation speed) from a single case study. The study identified different complacency mechanism asymmetries on behalf of the actors, as well as the varying reasons (drivers) to why urgency gaps may occur among actors. The urgency gaps were found to impact a sense of urgency and thus innovation speed negatively. The asymmetries are presented from the drivers: role understanding, competence, project intent, risk and trust. Moreover, the urgency gaps’ implications for interorganizational project collaboration, and how they contribute to theory on industrial product innovation, are explained. The findings contribute with new insights on important mechanisms for how a sense of urgency may be enhanced in research projects subject to interorganizational innovation. Theoretical contributions thus relate to enhanced understanding of complacency asymmetry in product innovation collaboration, and how trust is an important dimension for urgency creation.

Classification of fracture characteristics and fracture mechanisms using deep learning and topography data

Abstract In failure analysis, micro-fractographic analysis of fracture surfaces is usually performed based on practical knowledge which is gained from available studies, own comparative tests, from the literature, as well as online databases. Based on comparisons with already existing images, fracture mechanisms are determined qualitatively. These images are mostly two-dimensional and obtained by light optical and scanning electron imaging techniques. So far, quantitative assessments have been limited to macroscopically determined percentages of fracture types or to the manual measurement of fatigue striations, for example. Recently, more and more approaches relying on computer algorithms have been taken, with algorithms capable of finding and classifying differently structured fracture characteristics. For the Industrial Collective Research (Industrielle Gemeinschaftsforschung, IGF) project “iFrakto” presented in this paper, electron-optical images are obtained, from which topographic information is calculated. This topographic information is analyzed together with the conventional 2D images. Analytical algorithms and deep learning are used to analyze and evaluate fracture characteristics and are linked to information from a fractography database. The most important aim is to provide software aiding in the application of fractography for failure analysis. This paper will present some first results of the project.

On the Cusp of a Wave: Experiences in Designing a Usability Test Experiment in an Industrial Design PhD Research Project Involving Vulnerable Participants during the COVID-19 Pandemic

On the Cusp of a Wave: Experiences in Designing a Usability Test Experiment in an Industrial Design PhD Research Project Involving Vulnerable Participants during the COVID-19 Pandemic

Investigations on design limits and improved material utilization of press-fit connections using elastic-plastic design

Today, there are a number of analytical and numerical calculation methods for the elastic-plastic design of press-fit connections. However, these are largely constrained by their restriction to elastic-ideal-plastic material behavior. In addition, recommendations for limiting the plasticized hub cross section that have been provided to date do not exploit the full potential of the materials, with the result that opportunities for lightweight design and improved transmission capacity have remained unused so far. Yet, no experimental validations exist to this end, which is why the existing design method could not be validated until today. In addition, there is still a lack of research on how to evaluate the potential for increasing the force and torque transmission under consideration of the strain hardening of the material during plastic deformation. The lack of knowledge today prevents a targeted design and thereby the industrial application of this type of connection; the transmission capacity and lightweight design potentials have thus remained unused until now (Kröger and Binz, 2020). This article presents the actual design and joining limits of hubs made of EN AW-5083 (AlMg4,5Mn), which were determined as part of an Industrial Collective Research (IGF) project. This allows the hub materials to be better utilized, which leads to a reduction in mass and/or an increase in the force and torque transmission. In addition, the experimental validation of the numerical investigations helps to establish the design method in industrial practice.

INSPIRE PROJECT: INTEGRATED TECHNOLOGIES FOR SMART BUILDINGS AND PREDICTIVE MAINTENANCE

Abstract. Applying integrated digital technologies for the management and maintenance of the existing built heritage appears to be one of the main current challenges for the definition and application of digitisation protocols for the construction supply chain. Key enabling technologies, collaborative platforms, Big Data management and information integration in a BIM environment are areas of increasing experimentation. In the field of intervention on the built heritage, it is the boundaries and opportunities offered by the integration of many different information sources that constitutes the main challenge. Furthermore, the study of the accessibility and usability of data and information from sources such as the three-dimensional terrestrial survey, existing databases, sensor networks, and satellite technologies make it possible to investigate both different ways of data modelling, even with a view to the development of predictive algorithms, and of visualisation and information management. The study illustrates part of the results of the InSPiRE project, an industrial research project financed with European structural funds and carried out in a public-private partnership by four universities and public research bodies, an innovation centre and six companies, SMEs, large enterprises, and start-ups. Specifically, the project highlights the growing importance of BIM-based modelling as a tool to lead users, both experts and non-experts, through the multiple information paths resulting from the relation between data and metadata.

Research-driven education: An introductory course to systems and synthetic biology

Systems and Synthetic Biology are complementary fields emerging side-by-side into mainstream scientific research. Whilst systems biologists focus on understanding natural systems, synthetic biologists wish to modify, adapt and re-purpose biological systems towards certain desired goals, for example enhancing efficiency and robustness of desired biological traits. In both fields, data analysis, predictive mathematical modelling, experimental design, and controlled experimentation are crucial to obtain reproducible results and understand how applications can be scaled to larger systems and processes. As such, students from Life Sciences, Engineering, and Mathematics backgrounds must be taught fundamentals in biological systems, experimental techniques, mathematics, and data analysis/statistics. In addition, students must be trained for future multidisciplinary careers, where the interaction and communication between experimental and modelling researchers is fundamental. With the acceleration of technological developments (both computational and experimental) continuing unabated, educators need to bridge the increasing gap between fundamentally-required knowledge and skills that students need to pursue future academic or industrial research projects. In this paper, we will discuss how we have re-designed an introductory course in Systems and Synthetic Biology at Wageningen University and Research (Netherlands) that is targeted simultaneously to mathematical/computational students with an interest in biology and experimental methods, and to Life Science students interested in learning how biological systems can be mathematically analysed and modelled. The course highlights the links between fundamental methodologies and recently developed technologies within the Systems and Synthetic Biology fields. The course was re-designed for the 2021/22 academic year, we report that students from biology and biotechnology programmes graded their satisfaction of the course as 4.4 out of 5. We discuss how the course can act as a gateway to advanced courses in Systems Biology-oriented curricula (comprising: data infrastructure, modelling, and experimental synthetic biology), and towards future research projects.

Energy-efficient double belt press with integrated inductive heating system

At the Aachen Centre for Integrative Lightweight Production (AZL) of RWTH Aachen University a new double belt press with inductive heating and elastomer-coated pressure rollers has been developed and optimised within industrial AZL joint partner research projects. This machine system is patented by the AZL and available for industrial trials and also as commercial product in license. This new machine concept enables an efficient, continuous pressing process in a small installation space. The induction allows for a rapid heating of the steel belt material up to 300 °C and the elastomer pressure rollers enable surface contact during pressure application. The double belt press differs from conventional systems as it uses closed-loop controlled inductive heat input and high-temperature resistant elastomer-coated rollers for applying specific pressures up to 23 bar at maximum process temperatures up to 300 °C (current development for up to 400 °C). In extensive trials with several partners from the AZL partner network and external companies, the machine has proven to be efficient for consolidating thermoplastic composite laminates as well as for impregnating both thermoset and thermoplastic composite laminates.

Durability Aspects of Chloride-Affected Cracked Concrete Structures Reinforced with 1.4003 Rebars

The protection of reinforced concrete components exposed to chlorides is often ensured by coating systems, which are usually associated with high maintenance costs over the service life. A possible alternative is the use of high-alloy, stainless steel reinforcement. Through smart selection in areas subject to particularly high stresses and the possibility of using mixed reinforcement with black steel, this type of reinforcement can also be used for economical construction. In many areas, it is sufficient to use significantly cheaper chromium steel rebars instead of very expensive, highly corrosion-resistant austenitic chromium-nickel steels. An industrial research project was carried out at Munich University of Applied Sciences in which the resistance of a chromium steel reinforcement with material number 1.4003 in chloride-exposed separation cracks of RC-specimens was investigated. The results obtained formed the basis for the development of design variants for underground parking garages. Structural tests on a large number of existing structures show how a long service life can be achieved with such reinforcement even under high chloride loads.

筇竹构件生物量积累分配特征及其与土壤物理性质的关系

PDF HTML阅读 XML下载 导出引用 引用提醒 筇竹构件生物量积累分配特征及其与土壤物理性质的关系 DOI: 10.5846/stxb202103290815 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家林业公益性行业科研专项(201204103);中央财政林业科技推广示范资金项目([2018]TG14号);中央财政林业科技推广示范资金项目([2019]TG14号);江苏省研究生科研创新计划(NO.KYCX21-0925) Biomass of accumulation and allocation characteristics of Qiongzhuea tumidinoda components and its relationship with soil physical properties Author: Affiliation: Fund Project: National forestry public welfare industry scientific research project (201204103); Forestry science and technology promotion demonstration fund project of the central government ([2018] No. tg14); Jiangsu graduate scientific research innovation program (no.kycx21-0925) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:以大关县3种土层深度0-40 cm、0-80 cm和0-120 cm的天然筇竹林为研究对象,在个体水平上研究了竹子构件生物量分配特征及其与土壤物理性质的相关关系,以期为筇竹林适宜立地条件选择、适地适竹及定向培育提供的理论指导。结果表明:(1)同一土层深度,土壤含水量、最大持水量、毛管持水量、毛管孔隙度和总孔隙度均呈现出随土层增加而增加的趋势,而土壤容重和非毛管孔隙度则呈现出随土层增加而减少的趋势,且薄土层和厚土层各土壤物理因子差异显著(P＜0.05)。(2)随着土层厚度的增加,筇竹总生物量以及构件秆、枝、叶、蔸、鞭和根生物量表现出增加的趋势,且不同土层厚度差异显著(P＜0.05)。(3)随着土层厚度的增加,筇竹构件枝、叶、蔸、鞭、根生物量分配相应增加,秆生物量分配则相应减少,但各处理间差异并不显著(P＞0.05)。(4)土壤物理因子对筇竹构件生物量分配有着显著影响(P＜0.05),单一土壤物理因子对筇竹构件生物量分配特征的重要性大小排序为土壤含水量＞总孔隙度＞最大持水量＞容重＞毛管孔隙度＞毛管持水量＞非毛管孔隙度。结论:土壤物理因子沿土层厚度的变化对筇竹构件生物量分配产生了重要影响,在土壤物理性质较差的生境中,筇竹会优先将生物量分配给秆,并通过减少叶生物量来响应水分缺失的不利环境,这对筇竹林立地条件选择有指导意义,即筇竹宜选择较深厚土层经营,以促进生物量积累和种群生长。 Abstract:The depth of three types of soil layers (0-40 cm, 0-80 cm, and 0-120 cm) in Daguan County, Yunna Province were chosen as the research object to analyze the biomass allocation characteristics of Q. tumidinoda components at the individual level and their relationship with soil physical properties. This study provided a theoretical guidance for the selection of suitable site conditions, the suitable sites of bamboo and directional cultivation. The results showed that: (1) at the same soil depth, soil water content, maximum water holding capacity, capillary water holding capacity, capillary porosity and total porosity increased with the increasing of soil layer, while soil bulk density and non-capillary porosity decreased with the increasing of soil layer. There were significant differences in soil physical factors between thin and thick soil layers (P<0.05). (2) With the increasing of soil layer thickness, the total biomass and biomass of culm, branch, leaf, stump, rhizome and root of Q. tumidinoda presented increasing trends, and there was significant difference among the thickness of different soil layers (P＜0.05). (3) With the increasing of soil thickness, the biomass allocation of branch, leave, stump, rhizome and root increased, while the biomass allocation of culms decreased, but there was no significant difference among the treatments (P＞0.05). (4) Soil physical factors had significant effects on biomass allocation of Q. tumidinoda components (P＜0.05). The order of importance of single soil physical factor to biomass allocation characteristics of Q. tumidinoda components was soil water content＞total porosity＞maximum water holding capacity＞bulk density＞capillary porosity＞capillary water holding capacity＞non capillary porosity. In conclusion, the changes of soil physical factors along the soil thickness had an important influence on the biomass distribution of Q. tumidinoda components. In the environment with poor soil physical properties, Q. tumidinoda would preferentially allocate the biomass to the culm and reduce the leaf biomass to respond to the adverse environment of water loss. This was of guiding significance to the selection of site conditions of Q. tumidinoda forest, that was, Phyllostachys pubescens should choose deeper soil layer for management, so as to promote biomass accumulation and population growth. 参考文献 相似文献 引证文献