Impact Analysis Method Research Articles

PSF toolkit: an R package for pathway curation and topology-aware analysis.

Most high throughput genomic data analysis pipelines currently rely on over-representation or gene set enrichment analysis (ORA/GSEA) approaches for functional analysis. In contrast, topology-based pathway analysis methods, which offer a more biologically informed perspective by incorporating interaction and topology information, have remained underutilized and inaccessible due to various limiting factors. These methods heavily rely on the quality of pathway topologies and often utilize predefined topologies from databases without assessing their correctness. To address these issues and make topology-aware pathway analysis more accessible and flexible, we introduce the PSF (Pathway Signal Flow) toolkit R package. Our toolkit integrates pathway curation and topology-based analysis, providing interactive and command-line tools that facilitate pathway importation, correction, and modification from diverse sources. This enables users to perform topology-based pathway signal flow analysis in both interactive and command-line modes. To showcase the toolkit's usability, we curated 36 KEGG signaling pathways and conducted several use-case studies, comparing our method with ORA and the topology-based signaling pathway impact analysis (SPIA) method. The results demonstrate that the algorithm can effectively identify ORA enriched pathways while providing more detailed branch-level information. Moreover, in contrast to the SPIA method, it offers the advantage of being cut-off free and less susceptible to the variability caused by selection thresholds. By combining pathway curation and topology-based analysis, the PSF toolkit enhances the quality, flexibility, and accessibility of topology-aware pathway analysis. Researchers can now easily import pathways from various sources, correct and modify them as needed, and perform detailed topology-based pathway signal flow analysis. In summary, our PSF toolkit offers an integrated solution that addresses the limitations of current topology-based pathway analysis methods. By providing interactive and command-line tools for pathway curation and topology-based analysis, we empower researchers to conduct comprehensive pathway analyses across a wide range of applications.

An unsupervised root cause analysis method for satellite on-orbit anomalies based on causal discovery

For a modern satellite, there are usually thousands of telemetry parameters. How to find the root cause of the satellite anomalies using telemetry data is an important but difficult task. This paper proposes an unsupervised root cause analysis method for satellite on-orbit anomalies based on causal discovery. The method includes a component impact analysis method based on multivariate-to-one transfer entropy, which can quickly identify components that cause system anomalies; and a pruning strategy based on the change of causality are proposed to screen and identify the parameters of the components to determine the root cause of the anomalies. Simulation experiments and real case verification show that the accuracy, recall, and F1-score of the method in this paper all reach more than 80%, which is greatly improved compared with the existing methods. The case study also shows that when anomalies occur, the root cause analysis method can detect the root cause using only 4 min of anomalous information, which helps to stop the spread of anomalies more effectively.

A novel process-level carbon contribution analysis (PCCA) method for carbon minimization of chemical processes: Exergy mapping to carbon emissions

A well-known method for the environmental impact analysis of the chemical processes, life cycle assessment (LCA) has several limitations to apply to the process design and optimization stages. To overcome these limitations, this study proposed a novel carbon analysis and reduction method at the process level. The proposed LCA-free framework consists of four steps: process simulation, thermodynamic analysis, process-level carbon contribution analysis (PCCA), and carbon optimization. PCCA allows a detailed analysis of the CO2 contribution of each component by mapping exergy information to the CO2 emission. By applying the proposed method to the naphtha cracking center to minimize CO2 emissions, CO2 from utilities can be reduced by 8.72%. Compare to energy optimization, carbon optimization under the PCCA framework shows there is an optimal operating condition that emits less CO2 even though requires more utility duty. The proposed framework has four clear advantages: (i) it can estimate tailored emission factors for target processes at the process level, instead of relying on average values in conventional inventory, (ii) optimize the usage of utilities by type at the process design stage from a carbon perspective, (iii) provide a direction for economic optimization by giving information on the relationship between carbon emissions and energy consumption, and (iv) quantify the reduction in carbon emissions compared to existing processes when designing newly designed carbon reduction processes. Consequently, this study establishes a powerful methodology for the rigorous carbon emission analysis for chemical processes and offers guidelines for carbon reduction at the process level.

Measuring the short-term economic impacts of ecological restoration

Increasing demand for ecological restoration has resulted in the development of a “restoration economy” in the United States. Often, the implementation phase of restoration efforts involves substantial capital and labor investments, the short-term economic impacts of which should not be ignored when evaluating the outcomes of restoration efforts. This publication describes the relevant economic impact analysis methods and summarizes a case study application of these methods for the restoration of the Lone Cabbage Reef (LCR) Complex, a recently restored oyster reef in Florida. It should be useful to local governments, outreach and Extension agents, and management agency personnel who want to better understand the economic impacts of restoration actions.

Analysis of Delayed Notification of Acquisition of Shares by Business Players Using the Cost Benefit Analysis and Regulatory Impact Analysis Methods

Business Competition Law in Indonesia adheres to a post-notification system which is carried out after the effective date in the process of taking over (mergers and acquisitions) of a company. Based on data on the KPPU's website, during the period from 2012 – 2022 there were 45 cases of fines for late notification in the merger and acquisition process with a total fine of Rp. 118,765,000,000. Data on company acquisition case decisions from 11 February 2020 to 11 April 2021, found delays in notifications of mergers and acquisitions with delays ranging from 2 (two) days to more than 8 (eight) years. One of the mitigating reasons in the KPPU's decision was the ignorance of business actors regarding the obligation to submit post-notification of company takeover to KPPU. In order to avoid this problem, in the future, it is expected that KPPU or the Government can amend the provisions concerning post-notification obligations to become pre-notification obligations.

Life cycle assessment of multiple dispensing systems used for cosmetic product packaging

AbstractWorldwide, the packaging industry for consumer product goods, including personal care and beauty products, generates over $25 billion in sales. An extremely high environmental impact follows the large demand in the industry. Almost 70% of the plastic waste generated in the cosmetics market is not recyclable. Sustainability in the beauty industry is complex and multifaceted, requiring an evaluation of all factors. Packaging plays an important role in the cosmetics market, and considering the amount of waste it generates, it is essential to understand packaging dispensing systems from an environmental perspective. This study investigated the environmental impacts of three dispensing systems commonly used for cosmetic product packaging: the general dip‐tube pump, the airless pump and the bag‐in‐bottle format. A cradle‐to‐grave life cycle assessment (LCA) was performed to quantitatively analyse the environmental burden of those three different dispensing systems, using a facial cream as a test case. The LCA analysed the environmental impacts generated by the packaging materials and incorporated the environmental impacts created by the facial cream residue left behind in each dispensing system. The system boundary of this LCA included the material production, intermediate processes, distribution, use and end‐of‐life phases of the packaged facial cream products. The LCA complied with the ISO standards, 14,040:2006 and 14,044:2006, and LCA software SimaPro v 9.0 was used to analyse the results. The life cycle inventories used in this LCA included US‐EI 2.2, USLCI and Ecoinvent 3. TRACI 2.1, including ten mid‐point life cycle impact categories, was chosen as the life cycle impact analysis method. Comparative and contribution analyses were conducted to interpret the LCA data. The comparative analysis demonstrated that the airless pump packaging system had less environmental burden than the other two packaging systems for all the life cycle impact categories. The bag‐in‐bottle alternative had the highest environmental impact for eight of the ten impact categories. The contribution analysis results revealed that the packaging material production phase most contributed to the environmental burden of all three packaging formats, followed by the lotion residue.

Impact of Soil Conservation on Household Income in East Wollega, H/G/ Wollaga and West Shawa Zones of Oromia Region

Land degradation in many third world countries threatens the livelihood of millions of people and constrains the ability of countries to develop a healthy agricultural and natural resource base. This study was conducted to explore Impact of Soil Conservation on Household Income in East Wollega, H/G/ Wollaga and West Shawa Zones of Oromia Region. In this study, three-stage sampling procedure was used to select six districts, tuwelve kebeles and 252 specific sample farm households. Descriptive and econometric analyses were employed. This study has been designed with objective of to assess the impacts of the SWC on yields and farmers’ income, to assess community perception towards the ongoing SWC interventions. and to identify constraints and opportunities on SWC practices in the study area. The analysis is based on the data collected from randomly selected 252 farm households in western Ethiopia. a propensity score matching method for impact analysis to avoid bias arising from possible self-selection. The descriptive analysis showed that, out of the 252 household heads, in the study area the average farm size of the respondents was fragmented into 3.36 parcel, each with average 2.26 hectares. In the sampled area, 13.3%, 57.8%, 14.8%, and 14.1% of the interviewed farmers has been built SWC structures on cultivated land by SLM programme, by campaign, with their family and through both (campaign and family) respectively. The results obtained through a propensity score matching method was 7931.3 Ethiopian Birr net on household income of farmers increase for adopters as compared to non-adopters.

Improving Loops that Matter

AbstractThe Loops that Matter (LTM) approach to understanding behavior has proven easy to use and broadly applicable, but it has a shortcoming in its original formulation. This is because the original formulation treats the impact of a flow on a stock relative to the net flow, so that all scores tend to get very large in magnitude as a stock approaches equilibrium, but how big depends strongly on how the flows are specified. By reformulating the link scores from a flow to a stock, this topological dependency is removed. The mathematics behind this approach makes clear the relationship of LTM to the Pathway Participation and Loop Impact analysis methods. The result of this, when applying the analysis to a variety of models, is that the determination of the structure responsible for behavior is clearer, and more clearly tied to work already documented using other techniques. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Estimating energy savings from HVAC controls fault correction through inverse greybox model-based virtual metering

Fault impact analysis is an important phase of fault detection and diagnosis (FDD), enabling prioritization of the faults detected and allocation of resources to procure services and materials. However, many existing fault impact analysis workflows rely on building performance simulation (BPS) models with high engineering cost, limiting their use in FDD software. To this end, this paper introduces an inverse greybox model-based fault impact analysis method using building automation system (BAS) trend data from variable air volume (VAV) air handling unit (AHU) systems to quantify the heating and cooling energy impact of control system faults. It trains inverse models of a VAV AHU system by employing a sequential parameter estimation algorithm, formulates virtual meters quantifying the sensible heat transfer rate from AHU heating and cooling coils and the perimeter heating devices, and employs the virtual meters to estimate heating and cooling energy use of an existing VAV AHU system and the same system after fault correction. The method was used with a synthetic BAS dataset generated by using an EnergyPlus model of a 26-zone VAV AHU system in Ottawa, Canada. The results indicate that the virtual meters could estimate the monthly energy use for heating and cooling at a coefficient of variation of the root mean squared error (CV(RMSE)) of 4–6%. The method was demonstrated with measured BAS data from a 72-zone VAV AHU system, revealing an energy savings potential of 43% for heating and 22% for cooling through fault correction.

프랑스 입법영향분석의 발전과 사례

The present paper attempts to deal with the effects of a given legislation in practical as well as academic perspectives, commonly called as legislative impact analysis, or legislative assessment as in case of pilot works in Korea. Yet the law and practice in this particular area differs from nation to nation, as the case of France exemplifies in this article.
 It is to be noted that various works on the works relating to the legislative impacts were largely incorporated in an act of the National Assembly in March 2021. That is the Framework Act on Administration which targets the current laws and regulations if necessary to improve the legal system in the administrative field, obviously including the subject matter. On the other hand, France has been conducting legislative evaluation in a reserved manner by stipulating the subject in a broad way, that is in the revised constitution in 2008.
 Thus the writer proposes in the present paper to focus on the following two points : First, considering French legislation, legislative procedures, and the relationship between the government and the National Assembly, attempts were made to pinpoint the characteristics and meaning of the impact analysis system and the possible significance. The French impact analysis is limited to the government-submitted legislation.
 Therefore it is characterized by the fact that it is prepared directly by the relevant department of the Government that submitted the bill. Criticism has always been targeted for lack of fairness. However, the impact analysis system should be understood not only in the form of government but also in the context of legal system and legislative procedures. In other words, horizontal comparison of the two systems, France and Korea for that matter, is difficult because it has a structural difference from the post-legislative impact analysis, as specified in the Framework Act on Administration in case of Korea.
 Second, among the points raised in the discussions on the French impact analysis, frequently pointed areas concern the so-called “Youth Impact Clause” introduced in 2016. In addition to the existing impact analysis method, special attentions were given to young people, and to the basis of the legislative analysis. At the beginning of the implementation of the Youth Impact Assessment System, the Ministry of Youth Affairs did not put forward active an opinion as expected. Above all, the issue was preempted rather by the general observation, such as “today’s youth-future generation” than the specific and technical points in legislation.

Assessing the Financial Sustainability of High-Fidelity and Virtual Reality Simulation for Nursing Education: A Retrospective Case Analysis.

To stimulate classroom discussion and collaboration amid the COVID-19 pandemic, increasingly creative pedological methods for nursing education are necessary. Traditionally, high-fidelity simulation has been the standard for nursing education, but the use of virtual reality simulation is increasing. One of the major evaluative measures of simulation clinical training is the cost associated with each modality. In this retrospective case analysis, budget impact analysis methods were employed to compare high-fidelity simulation with virtual reality simulation. The components of each simulation pedagogy were compared in categorized cost buckets. Overall, virtual reality simulation education was determined to require 22% less time than high-fidelity simulation education. The cost associated with the virtual reality simulation was found to be 40% less expensive than the high-fidelity simulation. Our results demonstrate that virtual reality simulation is a financially advantageous, resource conscious pedagogical option for nursing education.

A Method to Increase and Document the Impact of Astrobiology Education and Public Outreach.

Astrobiology education and public outreach (E/PO) efforts vary widely in terms of audience, content focus, duration, intensity, and numerous other characteristics. To identify best practices and gauge impact, an evaluation model is needed that functions across a variety of activities. In 2013, the NASA Astrobiology Institute (NAI) convened 19 astrobiology E/PO specialists for 2 days in Phoenix, AZ, with a professional evaluator to develop an evaluation model. The resulting model, termed the impact analysis method (IAM), is a series of evaluation-based practices that are tied to each phase in the "life cycle" of an E/PO project: beginning with needs assessment, which leads to the articulation of clear measurable objectives, from which design criteria for the project are developed, followed by examining the fidelity of the implementation and measuring the impacts. Data from those measurements were then used by astrobiology E/PO specialists to refine future implementation, collect evidence of impact, and support subsequent program decisions. A rubric was developed to show increasing levels of rigor of the evaluation practices in each phase of the project. Eleven astrobiology E/PO specialists who used the IAM reported increases in their understanding of evaluation and improvements in their programs.

Pharmacoeconomic analysis of using benralizumab for treatment of severe asthma in inpatient and outpatient settings

Objective: evaluation of the pharmacoeconomic feasibility of using benralizumab in the form of autoinjector (pen-injector device) in outpatient facilities compared with its use in the form of a syringe in hospital settings for the treatment of severe asthma (SA).Material and methods. The cost minimization and budget impact analysis methods were used. The current practice of treating patients with SA with benralizumab in hospital settings at the expense of compulsory medical insurance funds was compared with the simulated practice. The simulated price was calculated as half patients receiving benralizumab in the hospital transferred to outpatient facilities at the expense of regional funds for 3 years. Direct medical costs included drug cost and outpatient patient monitoring services cost.Results. The direct medical costs associated with benralizumab therapy in outpatient facilities were lower than the costs required for benralizumab therapy in the hospital settings and amounted to 0.99 million rubles versus 1.17 million rubles per one patient per year, respectively. Thus, the use of benralizumab in outpatient facilities leads to savings of 185 thousand rubles (16%). In 2021, 93 patients were prescribed benralizumab in hospital settings. The expansion of the application of benralizumab use in outpatient facilities will lead to a reduction in medical costs in the first year of therapy (when switching 16.7% of patients) by 5.9 million rubles (4,9%). The consistent expansion of the practice of benralizumab use in outpatient facilities over a 3-year horizon (when switching 50% of patients) will lead to a reduction in medical costs by 46.6 million rubles (12.1%).Conclusion. Expansion of benralizumab use in outpatient facilities with a new form of autoinjector (pen-injector device) will lead to savings in medical costs and reduce the burden on the health care system, thus it is economically feasible.

Analysis of Strategic Variabel for Development of the Indonesia – Papua New Guinea Border Area

The Republic of Indonesia (RI) - Papua New Guinea (PNG) is one of the national borders on the island of Papua and is located very strategically from a cultural, social, economic and political perspective. This region is an underdeveloped area with various complexities of problems in it. Nevertheless, in the context of improving people's welfare and maintaining states overeignty. This study aims to analyze strategic variables in the development of the RI-PNG border area with a prospective analysis approach using the MICMAC (Matrix of Cross Impact Analysis) method. The results showed that the key variables that have a strong influence and little dependence on the development of the RI-PNG border area are customary leadership, regulation, border governance, budget support and public infrastructure. These variables are also the driving variables that affect the overall development system.

A Study on Changes in Air Pollutant Generation Trends after Integrated Permit in Coal-fired Power Plants

Objectives : The Environmental Pollution Facility Act was implemented to effectively reduce pollutants that could be generated in the business establishment, centering on emission facilities, from the Media Act, which had been managed in the aspect of follow-up management. Accordingly, the change in the generation of air pollutants after the integrated permit in coal-fired power plants was examined.Methods : Air pollutant emission standards were analyzed for business establishment that use coal, a solid fuel, as fuel among power plants that have completed integrated permits.Results and Discussion : The standards suggested by the Act on the Integrated Control of Pollutant-Discharging Facilities have numerically higher values than the existing Clean Air Conservation Act Standards, but there is a limit to evaluating only with simple standards because permit standards are given through emission impact analysis. As a result of a comparison through the emission impact analysis, it was found that 10 plants were given stricter permit standards for sulfur oxides and nitrogen oxides by 22% and for dust by 10% at 8 business establishment.Conclusion : The level of pollution on the surrounding location status is evaluated, and permission standards are granted. It was confirmed that the emission impact analysis method under the Act On The Integrated Control of Pollutant-Discharging Facilities can be applied as a more strictly manageable means than the existing standards under the Clean Air Conservation Act.

Impact of Unbalanced Classification on the Performance of Software Defect Prediction Models

Objectives: To propose a suitable imbalanced data classification model to split the dataset into two new datasets and to test the created imbalanced dataset by the prediction models. Methods: The imbalance defect data sets are taken from the PROMISE library and used for the performance evaluation. The results clearly demonstrate that the performance of three existing prediction classifier models, K-Nearest Neighbor (KNN), Naive Bayes (NB), and Back Propagation (BPN), is very susceptible in terms of unbalance of classification, while Support Vector Machine (SVM) and Extreme Learning Machine (ELM) are more stable. Findings: The outcome of this research reveals that applied SVM and ELM machine learning models improves the performance in defect prediction and records 29% more than KNN, and 19% more than NB and BPN. Novelty: According to the findings of a comprehensive study, the proposed machine learning new classification imbalance impact analysis method outperforms the existing ones in order to transform the original imbalance data set into a new data set with an increasing imbalance rate and be able to select models to evaluate different predictions on the new data set. Keywords: Software Fault Prediction Model; Imbalance Problem Classification; Artificial Intelligence; Smart Debugging; Unbalanced Classification

A visual framework for software requirements traceability

Requirement traceability supports several activities of software development processes such as impact analysis, requirement changes, maintenance, verification, and validation of a software system. For its effective use in those activities, the graphical representation of traceability data plays an important role. However, several traceability tools lack an excellent visual representation to present these type of data. Therefore, this paper presents a visual framework which has been designed and proposed as a prototype tool that can visualize traceability data. The framework applies data visualization techniques to represent requirements and its artefacts relationships as colour-coded symbols on a node-link diagram; users can traverse the graph with an impact analysis method to understand data and make decisions. The evaluation result shows that the proposed tool is useful and easy enough in terms of improving user interaction and to better understand requirement traceability data.

Quantitative and qualitative analysis of the dimensions of farmers' adaptive capacity in the face of water scarcity

Previous studies have shown that enhancing adaptive capacity can reduce vulnerability of farmers to water scarcity and improve their resiliency against environmental changes in the Social-Ecological Systems (SES). The present study aims to evaluate, measure, and compare the dimensions of farmers’ adaptive capacity in rural areas in west of Iran facing escalating water scarcity in the recent years. Since that adaptive capacity is a key factor in community resilience, the relationship between considered adaptive capacity dimensions with increasing resilience of the study area was also investigated. Furthermore, the influence and dependency of each item of the dimensions of adaptive capacity has been measured by the Cross Impact Analysis (CIA) method. For this purpose, 175 farmers in 6 villages in Borujerd County, Lorestan province, Iran were selected for examining the content, structure, and important dimensions of their adaptive capacity. Adopting the survey methodology, this study used the whole network approach to identify the agricultural water users in the ecologic boundaries of the selected villages. The t-values for the most important dimensions with highest effects on the adaptive capacity of the rural communities in the study area including “water governance”, “innovation” and “information, and awareness” were 5.56, 5.49 and 4.15, respectively confirming the Structural Equations Modeling (SEM) and Friedman statistical test results. The t-values less than 1.96 for “Local networks”, “trust in government”, “financial sources and infrastructures”, as well as “adaptive management” showed insignificance of these dimensions in the adaptive capacity of farmers in the study area. Based on the results of the adaptive capacity analysis, suggestions for enhancing resilience of the farmer communities against water scarcity were provided.

大型煤电基地开发生态累积效应及定量分析方法研究

PDF HTML阅读 XML下载 导出引用 引用提醒 大型煤电基地开发生态累积效应及定量分析方法研究 DOI: 10.5846/stxb202101150155 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目东部草原区大型煤电基地生态修复与综合整治技术及示范（2016YFC0501100）；国家重点研发计划课题（2016YFC0501101） Ecological cumulative effect and quantitative analysis method of developing large-scale coal and electricity bases Author: Affiliation: Fund Project: 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:大型煤电基地（CEBs）是我国煤基能源和材料集中开发区域和国家能源战略安全重要支撑，合理评价CEBs开发生态影响是CEBs可持续协调开发、科学管理中的难点问题。研究将CEBs开发视为系统工程，与自然生态系统（NES）相关联，深入研究大型煤电基地生态系统（CEBES）的驱动行为、内在结构及主要关系、生态影响途径、生态累积过程和生态累积效应及阈值分析方法。基于CEBs空间和功能定位提出CEBs的概念、内涵和特点，融合构建的CEBES涵盖到自然资源、能源开发行为（煤、电等）、其他人类活动（农、牧、城）和大气、水、土壤及生物域；研究表明CEBES的生态累积状态受三种行为驱动和影响（自然行为、能源开发行为和其他人类活动），通过融合、传导和辐射耦合作用，表现为生态要素损伤、系统结构变化和系统状态失衡三级状态，生态累积具有影响多态性、空间多尺度和过程渐变性特点；明确了生态累积过程、累积效应和阈值及其相互关系，引入反映生态影响累积程度的生态损伤系数，提出四类生态阈值（生态要素、内部结构、系统状态和行为调控）；基于系统性和实用性筛选反映生态累积相对状态的60项指标，构建具有"三力"驱动、分区要素耦合和系统评价的生态累积状态指标体系和生态综合影响指数；建立基于单位空间体的生态累积状态核心函数、生态要素、子系统及系统的生态累积函数，提出生态损伤程度、生态效应阈值的分析模型和基于多层次生态损伤耦合关系的CEBs开发生态累积影响分析方法。该方法可为我国CEBs开发区域生态影响评价、区域生态安全调控和"碳中和"发展提供理论支撑。 Abstract:Large-scale coal and electricity bases (CEBs) are essentially important to China's coal-based energy and material centralized development areas as well as national energy security strategy. Hence, it is difficult to reasonably evaluate the ecological impacts of CEBs development in the sustainable and coordinated development and scientific management of CEBs. In response to this, this paper attempted to intensively study the driving behavior, internal structure, primary relationship, ecological influence path, ecological cumulative process and ecological cumulative effect and threshold analysis method of the large-scale coal and electricity base ecosystems (CEBES) through associating the development of CEBs with NES (natural ecology system) as systems engineering. The concept, connotation, and characteristics of CEBs were proposed in accordance with spatial and functional positioning of the CEBs. Then, the amalgamation constructing CEBES were comprised of natural resources, energy development behavior (coal, and electricity, etc.), other human activities (agriculture, animal husbandry, and urban activities), atmosphere, water, soil, and ecosphere. According to the research, the ecological accumulation state of CEBES was driven and influenced by three behaviors, including natural behaviors, energy development behaviors, and other human activities. These three behaviors were manifested as damages to ecological elements, changed in system structure, and imbalance of system state through integration, conduction, and radiation coupling. More precisely, ecological cumulation had the characteristics of affecting polymorphism, spatial multi-scale, and process gradual change. Moreover, by defining the ecological cumulation process, the cumulative effect, thresholds and their mutual relations, ecological damage coefficients were introduced to reflect the cumulative degree of ecological influence. Based on this, four ecological thresholds, including ecological elements, internal structure, system state, and behavior regulation were proposed. Furthermore, an ecological accumulation state indicator system and ecologic comprehensive influencing indexes featuring the drive of "three powers", zoning element coupling, and system evaluation were constructed as 60 indicators screened from the systematic and practical properties for showing the relative status of ecological cumulation. Also, core functions of ecological cumulative state based on unit space body, ecological elements, and ecological cumulative functions of subsystems and systems were constructed. Meanwhile, the analysis models of ecological damage degree and ecological effect threshold as well as the impact analysis method of ecological cumulation of CEBs development were based on the coupling relationship of multi-level ecological damage. The proposed method can provide a theoretical support for ecological impact assessment, ecological security regulation in the developing areas of CEBs,as well as for the development of carbon neutral in China. 参考文献 相似文献 引证文献

The Impact of Resource Optimization on the Economic Development of the Marine Industry

The traditional impact analysis method for the economic development of marine industries does not consider the impact weight of different marine industries, which leads to an unsatisfactory effect on sustainable development after the optimized management of resources. Therefore, a new method is designed to solve the above problems; by analyzing the scale, hierarchical system, and optimizing the spatial resource framework of the marine industry, the influence of different marine industries is comprehensively measured, and the final demand dependency of the marine industry economy is obtained. The comprehensive index system is designed to evaluate the economic development of the marine industry, and the linear weighted sum method is used to calculate the sustainable development degree of marine industry economy in different regions. The results show that the final evaluation score of the marine biological industry in Shandong Province is 64.97, which is affected by comprehensive factors. The scores of capital and environmental governance are between 84.03 and 82.87, respectively, which are the main factors to achieve sustainable development. After the optimization of this method, the demand dependence of relevant regions is reduced, and the sustainable development level is effectively improved, indicating that the sustainable state of this method is better. The resource optimization path given by the research can be further applied to the construction process of marine and industrial economic development in other provinces and cities so as to comprehensively improve the quality and effect of marine economic growth.