Disaster Risk Reduction Knowledge Service: A Paradigm Shift from Disaster Data Towards Knowledge Services

Wang, Juanle; Bu, Kun; Yuan, Yu; Wang, Yujie; Han, Xuehua; Wei, Haishuo

doi:10.1007/s00024-019-02229-w

Cited by 16 publications

(4 citation statements)

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“…The research data were derived from the Disaster Risk Reduction Knowledge Service (DRRKS, http://drr.ikcest.org/, accessed on 1 March 2022), which was launched in 2016 by UNESCO with a disaster prevention and reduction mission and relies on the International Engineering Science and Technology Knowledge Center (IKCEST) of the Chinese Academy of Engineering, a UNESCO Category II Center. It is a knowledge service designed to provide resources for disaster data to facilitate knowledge discovery [27,28]. The DRR scholar module of the DRRKS contains various English-language studies related to natural hazards, which are derived from the Web of Science (WOS) database, the world's largest comprehensive academic platform.…”

Section: Data Acquisitionmentioning

confidence: 99%

Global Flood Disaster Research Graph Analysis Based on Literature Mining

Zhang

Wang

2022

Applied Sciences

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Floods are the most frequent and highest-impact among the natural disasters caused by global climate change. A large number of flood disaster knowledge were buried in the scientific literature. This study mines research trends and hotspots on flood disasters and identifies their quantitative and spatial distribution features using natural language process technology. The abstracts of 14,076 studies related to flood disasters from 1990 to 2020 were used for text mining. The study used logistic regression to classify themes, adopted the dictionary matching method to analyze flood disaster subcategories, analyzed the spatial distribution characteristics of research institutions, and used Stanford named entity recognition to identify hot research areas. Finally, the disaster information was integrated and visualized as a knowledge graph. The main findings are as follows. (1) The research hotspots are concentrated on flood disaster risks and prediction. Rainfall, coastal floods, and flash floods are the most-studied flood disaster sub-categories. (2) There are some connections and differences between the physical occurrence and research frequency of flood disasters. Occurrence frequency and research frequency of flood disasters are correlated. However, the spatial distribution at the global and intercontinental scales is geographically imbalanced. (3) The study’s flood disaster knowledge graph contains 39,679 nodes and 64,908 edges, reflecting the literature distribution and field information on the research themes. Future research will extract more disaster information from the full texts of the studies to enrich the flood disaster knowledge graph and obtain more knowledge on flood disaster risk and reduction.

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Section: Data Acquisitionmentioning

confidence: 99%

Global Flood Disaster Research Graph Analysis Based on Literature Mining

Zhang

Wang

2022

Applied Sciences

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“…Risk assessment is the core link of disaster risk research (Peng et al, 2017;Wang et al, 2019). Currently, most scholars agree with the risk concept given by the Department of Humanitarian Affairs of the United Nations, that is, Risk = Hazard×Vulnerability (Birkmann, 2015;H and S, 2019).…”

Section: Risk Assessment and Applicationmentioning

confidence: 99%

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

Liu¹,

Tang²,

Wang³

et al. 2021

Preprint

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In terms of the dynamic dependence between icing-inducing factors, this study is to explore the risk distribution of highways when icing events occur in the study area. A joint distribution considering the dynamic correlation of inducing factors was first constructed employing the Copula theory, which then yielded the possibility of icing events. Meanwhile, hazard zones and intensities of icing were proposed under different exceeding probabilities. After finishing the vulnerability analysis of highways, the risk matrix was used to conduct the icing risk for the highway, which was then applied to the construction of the risk zoning map. The results showed that there was an upper-tail dependence between extreme precipitation and temperature in the study area in winter, which could be well captured by the Gumbel Copula function. Indeed, the constructed joint distribution can express the possibility of icing under different intensities of precipitation and temperature. Besides, the highway with the tallest vulnerability in the study area was the Hegang-Yichun line. The case application showed that during March 2020, the traffic lines with a high icing risk were distributed around Fujin, Jiamusi, Hegang, and Qitaihe cities, and the Hegang section of the Hegang-Yichun line was at the highest icing risk. The low-risk lines were concentrated in the western part of the study area. This study is of great significance for the prevention and control of ice-snow disasters on the highway in cold regions.

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“…Based on this, this paper proposes a map service function model based on Constructivism according to the four elements of "situation, cooperation, communication and meaning construction" advocated by constructivism cognitive theory, as shown in figure 3. The feature of the model is to divide the existing map service functions into scenario building module and collaboration and communication module under the guidance of constructivism theory [14][15]. Using the basic functions, auxiliary functions and virtual geographic environment construction technology of map to construct a "Scene" which is beneficial for map users to recognize geospatial environment knowledge; Using the map interaction function and social platform interaction to build a "cooperation and communication" environment, the user can complete the construction of geospatial environment cognition in the cooperation and communication environment.…”

Section: Map Service Model From the Perspective Of Constructivismmentioning

confidence: 99%

Cartography Theory and Map Service Model Based on Constructivism

Tian-lin¹,

Zhang²

2021

Computer Methods in Medicine and Health Care

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Map is not only the result of geospatial environment cognition, but also a tool for geospatial environment cognition. The new concept advocated by Constructivist cognitive theory is highly consistent with the concept of map service in the era of Internet plus space-time big data. This paper analyzes the geographic information transmission process from the perspective of constructivism, and constructs the geographic information transmission process model. Based on the traditional map cognitive process model, a map cognitive process model based on constructivism is constructed. According to the four elements of “situation, cooperation, communication and meaning construction” advocated by Constructivist cognitive theory, a map service function model based on constructivism is constructed.

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Disaster Risk Reduction Knowledge Service: A Paradigm Shift from Disaster Data Towards Knowledge Services

Cited by 16 publications

References 0 publications

Global Flood Disaster Research Graph Analysis Based on Literature Mining

Global Flood Disaster Research Graph Analysis Based on Literature Mining

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

Cartography Theory and Map Service Model Based on Constructivism

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