Socio-Environmental Systems Modelling最新文献_第3页

Building trust in SWAT model scenarios through a multi-institutional approach in Uruguay 在乌拉圭通过多机构方法建立对SWAT模型情景的信任

Socio-Environmental Systems Modelling Pub Date : 2020-12-15 DOI: 10.18174/sesmo.2020a17892

Flora Mer, R. Vervoort, W. Baethgen

{"title":"Building trust in SWAT model scenarios through a multi-institutional approach in Uruguay","authors":"Flora Mer, R. Vervoort, W. Baethgen","doi":"10.18174/sesmo.2020a17892","DOIUrl":"https://doi.org/10.18174/sesmo.2020a17892","url":null,"abstract":"The inherent complexity of numerical models and the diversity of stakeholders in integrated water resources management (IWRM) create challenges in achieving credibility, salience and legitimacy to develop trust in model-based scenarios. In Uruguay, there has been significant debate on increasing agricultural production while managing agriculture’s environmental impacts (e.g., on water quality and environmental flows). This paper reports on the evolution of a stakeholder process in a case study with a multi-institutional participatory modelling group, supported by researchers. This specific participatory modelling (PM) project is unique in that the active stakeholders are the actual hydrological modellers, and the role of “experts” is mainly in facilitation and capacity building. The results highlight the different bottlenecks and the factors that enabled effective collaboration in this PM project. The main bottlenecks were related to: different views on representation of the watershed, the quality and usability of different input data, the public information for the technical implementation of the model, and the priority of output scenarios. The factors that enhanced collaboration were: a focus on a single basin problem, strong support from upper management, and support from experts in coordination and capacity building. The detailed documentation provided with this project can inspire similar approaches in the future.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122161107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Formalising theories of human decision-making for agent-based modelling of social-ecological systems: practical lessons learned and ways forward 社会生态系统基于主体建模的人类决策理论的形式化:实践经验教训和前进方向

Socio-Environmental Systems Modelling Pub Date : 2020-12-08 DOI: 10.18174/sesmo.2020a16340

Nina Schwarz, G. Dressler, K. Frank, W. Jager, M. Janssen, B. Müller, Maja Schlüter, Nanda Wijermans, J. Groeneveld

{"title":"Formalising theories of human decision-making for agent-based modelling of social-ecological systems: practical lessons learned and ways forward","authors":"Nina Schwarz, G. Dressler, K. Frank, W. Jager, M. Janssen, B. Müller, Maja Schlüter, Nanda Wijermans, J. Groeneveld","doi":"10.18174/sesmo.2020a16340","DOIUrl":"https://doi.org/10.18174/sesmo.2020a16340","url":null,"abstract":"Incorporating representations of human decision-making that are based on social science theories into social-ecological models is considered increasingly important – yet choosing and formalising a theory for a particular modelling context remains challenging. Here, we reflect on our experiences of selecting, formalising and documenting psychological and economic theories of human decision-making for inclusion in different agent-based models (ABMs) of natural resource use. We discuss the challenges related to four critical tasks: How to select a theory? How to formalise a theory and how to translate it into code? How to document the formalisation? In this way, we present a systematic overview of the choices researchers face when including theories of human decision-making in their ABMs, reflect on the choices we made in our own modelling projects and provide guidance for those new to the field. Also, we highlight further challenges regarding the parameterisation and analysis of such ABMs and suggest that a systematic overview of how to tackle these challenges contributes to an effective collaboration in interdisciplinary teams addressing socio-ecological dynamics using models.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126977206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Tracing resilience, social dynamics and behavioral change: a review of agent-based flood risk models 追踪复原力、社会动态和行为变化:基于主体的洪水风险模型综述

Socio-Environmental Systems Modelling Pub Date : 2020-12-08 DOI: 10.18174/sesmo.2020a17938

Alessandro Taberna, T. Filatova, Debraj Roy, Brayton Noll

{"title":"Tracing resilience, social dynamics and behavioral change: a review of agent-based flood risk models","authors":"Alessandro Taberna, T. Filatova, Debraj Roy, Brayton Noll","doi":"10.18174/sesmo.2020a17938","DOIUrl":"https://doi.org/10.18174/sesmo.2020a17938","url":null,"abstract":"Climate change and rapid urbanization exacerbate flood risks worldwide. The recognition of the crucial role that human actors play in altering risks and resilience of flood-prone cities triggers a paradigm shift in climate risks assessments and drives the proliferation of computational models that include societal dynamics. Yet, replacing a representative rational actor dominant in climate policy models with a variety of behaviorally-rich agents that interact, learn, and adapt is not straightforward. Focusing on the costliest climate-exacerbated hazard, flooding, we review computational agent-based models that include behavioral change and societal dynamics. We distinguish between two streams of literature: one stemming from economics & behavioral sciences and another from hydrology. Our findings show that most studies focus on households while representing decisions of other agents (government, insurance, urban developers) simplistically and entirely overlooking firms' choices in the face of risks. The two communities vary in the extent they ground agents' rules in social theories and behavioral data when modeling boundedly-rational decisions. While both aspire to trace feedbacks that agents collectively instigate, they employ different learning and interactions when computing societal dynamics in the face of climate risks. Dynamics of hazard, exposure, and vulnerability components of flood risks driven by incremental adaptation of agents are well represented. We highlight that applying a complex adaptive system perspective to trace the evolution of resilience can lead to a better understanding of transformational adaptation. The methodological advances in computational models with heterogeneous behaviorally-rich adaptive agents are relevant for adaptation to different climate-driven hazards beyond flooding.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124821927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Contrasting stakeholder and scientist conceptual models of food-energy-water systems: a case study in Magic Valley, Southern Idaho 对比利益相关者和科学家的食物-能源-水系统概念模型:爱达荷州南部魔谷的案例研究

Socio-Environmental Systems Modelling Pub Date : 2019-10-22 DOI: 10.18174/sesmo.2020a16312

G. Villamor, D. Griffith, A. Kliskey, L. Alessa

{"title":"Contrasting stakeholder and scientist conceptual models of food-energy-water systems: a case study in Magic Valley, Southern Idaho","authors":"G. Villamor, D. Griffith, A. Kliskey, L. Alessa","doi":"10.18174/sesmo.2020a16312","DOIUrl":"https://doi.org/10.18174/sesmo.2020a16312","url":null,"abstract":"One of the factors for the success of simulation studies is close collaboration with stakeholders in developing a conceptual model. Conceptual models are a useful tool for communicating and understanding how real systems work. However, models or frameworks that are not aligned with the perceptions and understanding of local stakeholders can induce uncertainties in the model outcomes. We focus on two sources of epistemic uncertainty in building conceptual models of food-energy-water systems (FEWS): (1) context and framing; and (2) model structure uncertainty. To address these uncertainties, we co-produced a FEWS conceptual model with key stakeholders using the Actor-Resources-Dynamics-Interaction (ARDI) method. The method was adopted to specifically integrate public (and local) knowledge of stakeholders in the Magic Valley region of Southern Idaho into a FEWS model. We first used the ARDI method with scientists and modellers (from various disciplines) conducting research in the system, and then repeated the process with local stakeholders. We compared results from the two cohorts and refined the conceptual model to align with local stakeholders’ understanding of the FEWS. This co-development of a conceptual model with local stakeholders ensured the incorporation of different perspectives and types of knowledge of key actors within the socio-ecological systems models.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123568479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru 牲畜应该在哪里吃草?综合建模与优化指导秘鲁Cañete流域放牧管理

Socio-Environmental Systems Modelling Pub Date : 2019-08-29 DOI: 10.18174/sesmo.2019a16125

P. Hamel, Genowefa Blundo-Canto, V. Kowal, B. Bryant, P. Hawthorne, R. Chaplin‐Kramer

{"title":"Where should livestock graze? Integrated modeling and optimization to guide grazing management in the Cañete basin, Peru","authors":"P. Hamel, Genowefa Blundo-Canto, V. Kowal, B. Bryant, P. Hawthorne, R. Chaplin‐Kramer","doi":"10.18174/sesmo.2019a16125","DOIUrl":"https://doi.org/10.18174/sesmo.2019a16125","url":null,"abstract":"Integrated watershed management allows decision-makers to balance competing objectives, for example agricultural production and protection of water resources. Here, we developed a spatially-explicit approach to support such management in the Cañete watershed, Peru. We modeled the effect of grazing management on three services – livestock production, erosion control, and baseflow provision – and used an optimization routine to simulate landscapes providing the highest level of services. Over the entire watershed, there was a trade-off between livestock productivity and hydrologic services and we identified locations that minimized this trade-off for a given set of preferences. Given the knowledge gaps in ecohydrology and practical constraints not represented in the optimizer, we assessed the robustness of spatial recommendations, i.e. revealing areas most often selected by the optimizer. We conclude with a discussion of the practical decisions involved in using optimization frameworks to inform watershed management programs, and the research needs to better inform the design of such programs.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132755772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A retrospective assessment of marine biodiversity: a critical analysis of integration and aggregation rules 海洋生物多样性的回顾性评估:对整合和聚集规则的批判性分析

Socio-Environmental Systems Modelling Pub Date : 2019-07-05 DOI: 10.18174/SESMO.2019A16128

Susanna Jernberg, H. Nygård, A. Auniņš, A. Lappalainen, A. Heiskanen, J. Olsson, P. Kauppila, S. Korpinen, K. Kostamo, L. Uusitalo

{"title":"A retrospective assessment of marine biodiversity: a critical analysis of integration and aggregation rules","authors":"Susanna Jernberg, H. Nygård, A. Auniņš, A. Lappalainen, A. Heiskanen, J. Olsson, P. Kauppila, S. Korpinen, K. Kostamo, L. Uusitalo","doi":"10.18174/SESMO.2019A16128","DOIUrl":"https://doi.org/10.18174/SESMO.2019A16128","url":null,"abstract":"Oceans around the world are threatened by human pressures. Ecological indicators are useful tools in understanding complex systems and their changes caused by human pressures, and the information they offer is also needed for ecosystem-based management. Integrated assessments combine information produced by several indicators at different spatial scales and thus offer a more holistic view of the status of the ecosystem. In this study, we evaluate the integration of biodiversity indicators at different spatial scales in two study areas in the Baltic Sea: Gulf of Finland and Bothnian Sea. By producing time series of the indicators and integrated assessments, we study the historical changes in the overall marine biodiversity status, and the impact of data availability, indicator selection, and choice of spatial assessment units on the status assessment. The integrated assessments are produced using the Biodiversity Assessment Tool (BEAT 3.0) and following the procedure of the HELCOM integrated assessment of biodiversity. The analysis shows that the results of the integrated assessment depend strongly on which indicators are available for the assessment, and on the chosen spatial assessment units. While the integrated assessments are a strong communication tool, their interpretation needs to be accompanied by information of indicators to avoid misleading conclusions about the marine ecosystem status.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123584695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system 为提高对里约热内卢Grande/Río Bravo社会环境系统的理解而建立的概念模型

Socio-Environmental Systems Modelling Pub Date : 2019-07-02 DOI: 10.18174/SESMO.2019A16127

J. Koch, J. Friedman, Stephanie Paladino, Sophie Plassin, Kyndra Spencer

{"title":"Conceptual modeling for improved understanding of the Rio Grande/Río Bravo socio-environmental system","authors":"J. Koch, J. Friedman, Stephanie Paladino, Sophie Plassin, Kyndra Spencer","doi":"10.18174/SESMO.2019A16127","DOIUrl":"https://doi.org/10.18174/SESMO.2019A16127","url":null,"abstract":"Social processes are essential components of human-environment systems and their dynamics. However, modeling a tightly coupled socio-environmental system over a large area and across wide social and environmental diversity presents several challenges, given the complexity of the interactions and their spatial heterogeneity. The transboundary Rio Grande/Río Bravo (RGB) Basin is an excellent case study to address these challenges. Water scarcity and over-allocation of water are present in a highly engineered system with extensive damming and a complex structure of agreements and compacts that govern the distribution of hydrological resources among users. Since no basin-wide approaches to modeling the RGB as a socio-environmental system exist, we attempt to close this gap. Building on data collected through extensive ethnographic fieldwork, we used a structured, collaborative, and integrative approach for documenting existing knowledge on and modeling of the RGB socio-environmental system. We assess different models for conceptualizing human behavior applied in the RGB, identify a need to redefine the (spatial) boundaries of the system and produce inductively generated knowledge about the interlinkages of social processes with environmental system components in the form of a semi-quantitative conceptual model. Our research demonstrates an alternative to ad-hoc approaches to defining “the social” in socio-environmental models and is a first step towards the development of a basin-wide computer simulation model of the RGB socio-environmental system.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129648832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Spatially-explicit simulation of two-way coupling of complex socio-environmental systems: Socio-hydrological risk and decision making in Mexico City 复杂社会环境系统双向耦合的空间显式模拟:墨西哥城的社会水文风险和决策

Socio-Environmental Systems Modelling Pub Date : 2019-05-14 DOI: 10.18174/SESMO.2019A16129

L. Bojórquez-Tapia, M. Janssen, H. Eakin, Andrés Baeza, Fidel Serrano-Candela, Paola Gómez-Priego, Y. Miquelajauregui

{"title":"Spatially-explicit simulation of two-way coupling of complex socio-environmental systems: Socio-hydrological risk and decision making in Mexico City","authors":"L. Bojórquez-Tapia, M. Janssen, H. Eakin, Andrés Baeza, Fidel Serrano-Candela, Paola Gómez-Priego, Y. Miquelajauregui","doi":"10.18174/SESMO.2019A16129","DOIUrl":"https://doi.org/10.18174/SESMO.2019A16129","url":null,"abstract":"We present here MEGADAPT (MEGAcity-ADAPTation), a hybrid, dynamic, spatially-explicit, integrated modeling approach to simulate the vulnerability of urban coupled socio-environmental systems – in our case, the vulnerability of Mexico City to socio-hydrological risk. Although vulnerability is widely understood to be influenced by human decision-making, these decisions are rarely captured as endogenous to dynamic vulnerability models. The objective of this paper is to use MEGADAPT to demonstrate a methodological approach that allows vulnerability to be simulated as a reflexive process: the result of the interplay between mental models held by influential actors and the response of the biophysical and social world to the realization of decisions based on these mental models. MEGADAPT represents Mexico City as a self-organizing system. Hence, its computational framework involves the implementation of a suite of system models, geographic information system-multicriteria decision analysis, and geosimulation. A novel contribution of this approach is the use of the Analytic Network Process to synthesize the dynamic feedback between mental models and conditions of geographic automata. In this way, MEGADAPT depicts the shift in the behavior of socio-environmental systems from one-way coupling/single-loop learning to two-way coupling/double-loop learning, with the decision-making process as an endogenous system driver.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125981067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers 适应性资源管理信息共享系统的计算机分析:以牡蛎养殖户为例

Socio-Environmental Systems Modelling Pub Date : 2019-05-14 DOI: 10.18174/SESMO.2019A16166

Nicolas Paget, B. Bonté, O. Barreteau, G. Pigozzi, P. Maurel

{"title":"An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers","authors":"Nicolas Paget, B. Bonté, O. Barreteau, G. Pigozzi, P. Maurel","doi":"10.18174/SESMO.2019A16166","DOIUrl":"https://doi.org/10.18174/SESMO.2019A16166","url":null,"abstract":"Information sharing systems are often viewed as a potential way of increasing scrutiny by actors of their interactions with natural resources. Scrutiny is then seen as encouraging sustainable and adaptable management of the resource. We tackle this claim by using an agent-based model to focus on the specific issue of oyster farmers dealing with the deadly OsHV-1 virus by sharing information about their own experience (practices and outcomes) via their social network and/or an information sharing system. We followed closely what access to such information sharing means for the environment (production), agents (beliefs) and interactions between the environment and agents (practices). In the model, introducing information sharing leads to a decrease in mortality rates and a convergence in agents’ beliefs. Agents stop changing their practices earlier when they share information, but heterogeneity in agent decision-making models leads to wider exploration of possible strategies and increased production. Agent-based modelling proved a suitable method for studying the impacts of information sharing.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

What are the merits of endogenising land-use change dynamics into model-based climate adaptation planning? 将土地利用变化动态内源性纳入基于模型的气候适应规划的优点是什么?

Socio-Environmental Systems Modelling Pub Date : 2019-02-13 DOI: 10.18174/SESMO.2019A16126

B. A. Jafino, M. Haasnoot, J. Kwakkel

{"title":"What are the merits of endogenising land-use change dynamics into model-based climate adaptation planning?","authors":"B. A. Jafino, M. Haasnoot, J. Kwakkel","doi":"10.18174/SESMO.2019A16126","DOIUrl":"https://doi.org/10.18174/SESMO.2019A16126","url":null,"abstract":"Integrated assessment models often treat land-use change as an external driving force. In reality, land-use is influenced by environmental conditions. This paper explores the merits of endogenising land-use change, i.e. making the land-use change a dynamic internal process, in models used for supporting climate adaptation planning. For this purpose, we extend the Waas model, a hypothetical case study used before for testing new model-based climate adaptation approaches. We use a utility-based land-use change model for endogenising the land-use dynamics, evaluate its implications, and identify the conditions under which it becomes important. We find that endogenising land-use dynamics changes the performance of the policies, allows for assessing policies that affect land-use, and widens the outcomes of interest that can be considered. The relevancy of endogenising land-use dynamics depends on (i) the expected severity of future climate change, (ii) the society’s sensitivity to climate events, and (iii) the types of policy options that decision makers want to evaluate. Ignoring the interaction between the environment and the society (in this case land-use) can result in both under- and overestimation of the impacts of adaptation and might limit the adaptation options that are considered.","PeriodicalId":166291,"journal":{"name":"Socio-Environmental Systems Modelling","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10