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Evaluation Model of Regional Comprehensive Disaster Reduction Capacity under Complex Environment. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2022; 2022:1593536. [PMID: 36105508 PMCID: PMC9467729 DOI: 10.1155/2022/1593536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/03/2022] [Accepted: 08/10/2022] [Indexed: 11/18/2022]
Abstract
In order to realize the evaluation of regional comprehensive disaster reduction capacity in a complex environment, an evaluation model of regional comprehensive disaster reduction capacity in a complex environment based on remote sensing monitoring and data image feature analysis is proposed. According to the geographical location and scale of disaster spots and the parameter analysis of the model of disaster-bearing bodies around the disaster spots, the remote sensing monitoring method is adopted to extract the geographical remote sensing images of regional disaster spots in a complex environment. The collected geographical remote sensing images of regional disaster points under the complex environmental background are filtered and preprocessed, and the texture parameters of the geographical remote sensing images of regional disaster points under the complex environmental background are recognized by combining the method of image texture feature extraction. Based on the method of tone mapping, the rapid filtering and feature analysis of the geographical remote sensing images of regional disaster points under the complex environmental background are carried out, and the time, position, damage, and so on in the geographical remote sensing images of regional disaster points under the complex environmental background are analyzed. By using the method of parameter analysis and gradient operator operation, a comparison model of geographical remote sensing images of regional disaster points under the complex environmental background is established, and the reliability evaluation of regional comprehensive disaster reduction ability under the complex environmental background is realized according to the method of contrast and detail significance enhancement. The test shows that this method has high accuracy in evaluating regional comprehensive disaster reduction capability under a complex environment, high accuracy in marking the geographical location of regional disaster points under a complex environment, and good fusion performance and reliability of regional comprehensive disaster reduction capability evaluation parameters.
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Policy Recommendations for Integrating Resilience into the Management of Cultural Landscapes. SUSTAINABILITY 2022. [DOI: 10.3390/su14148500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The perspectives of resilience and cultural landscape share common interests in planning, managing, and protecting socio-ecological systems. Although the principles of the Yokohama, Hyogo, and Sendai frameworks may be used in a variety of geographical contexts due to their general design, the implementation of these frameworks in cultural landscapes is seldom discussed. Our theoretical research is the first step in an ongoing effort to explore how urban governance and policy may provide room for enhancing cultural heritage resilience against natural hazards. A meta-synthesis of international guidelines on cultural landscapes, resilience, and disaster risk reduction serves as the foundation for the research methodology used in this study. The research findings highlight that cultural landscapes must be managed with political, social, and economic support to stay resilient, and therefore, the first step towards this goal is to integrate cultural heritage into the disaster risk reduction plan at a national level. Furthermore, cultural landscapes need a bottom-up participatory framework and more internship opportunities to bring together the government, first responders, site managers, and the local community.
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