A Synthetic Analysis on the Effective Protection and Management of World Heritage Sites in the Geological Disaster Area: A Case Study of Sichuan, China

2012 ◽  
Vol 524-527 ◽  
pp. 2702-2711
Author(s):  
Wen Jing Fan ◽  
Jian Hua Sun ◽  
Ke Qin Sun

In recent years, natural disasters occur frequently all around the world. Earthquakes and other geological disasters not only are destructive but also lead to serious secondary disasters. In south China’s Sichuan Province, on May the 12th 2008, an earthquake struck Wenchuan area followed by avalanches, landslides and debris flows, threatening the very existence of the 5 world heritage sites, designated by UNESCO, and reducing them to a vulnerable state. In this paper a summary is presented to show the characteristics of the geological disasters such as short duration, strong chain reactions, clear patterns, etc. Based on geological principles and methods and with the application of GIS and fuzzy comprehensive evaluation method, the potential damage and threats will be evaluated and analyzed together with the experience of heritage restoration and protection. With the ample analysis, this present thesis attempts to provide theoretical and practical basis for heritage conservation and management of geological disaster areas.

2013 ◽  
Vol 444-445 ◽  
pp. 1751-1755
Author(s):  
Qing Hua Zhan ◽  
Shi Mei Wang

This paper first introduces the meaning and mission of the economic evaluation of geological disasters,as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.


2019 ◽  
Vol 11 (17) ◽  
pp. 4732 ◽  
Author(s):  
Chengcai Tang ◽  
Qianqian Zheng ◽  
Pin Ng

Tourism at China’s cultural heritage sites has developed rapidly in recent years. These sites have encountered many challenging problems such as poor tourist experience, over-commercialization, and loss of cultural authenticity. This study took the coordinative green development of tourist experience and commercialization of tourism (CGDTECT) at cultural heritage sites as the research objective, using two UNESCO World Heritage Sites—the Ancient City of Pingyao and West Lake Cultural Landscape of Hangzhou—and the Confucius Temple in the historic district of Nanjing as case studies. As such, we attempted to construct an indicator system for CGDTECT at cultural heritage sites. We adopted a fuzzy comprehensive evaluation method and importance-performance analysis (IPA) method to analyze the importance and performance of CGDTECT from a tourist’s perspective. Our findings show that tourists thought the coordinative green development and experience at the three cultural heritage sites were more important; they were basically satisfied with CGDTECT at the three case studies, so a continuous promotion strategy could be taken. The findings of this study can provide scientific theoretical guidance and practical reference for CGDTECT at cultural heritage sites, and contribute to the scientific protection of cultural heritage sites and the sustainable development of tourism.


2020 ◽  
Author(s):  
Xiaoqing Chen ◽  
Jiangang Chen ◽  
Wanyu Zhao

<p>UNESCO designated 1121 properties with outstanding universal value, including 869 cultural sites, 213 natural sites and 39 mixed sites, from 167 states parties as world heritage sites at the end of 2019. Some of them are threatened by geological disasters, especially, the landslides and debris flows become the most frequent hazard type at world heritage sites. Until 2019, China has 55 world heritage sites and ranks first in the world, with 24 places under threat from different types of geological disasters and these disasters directly or indirectly threaten the security of heritage points. The forest coverage rate in Jiuzhaigou valley is more than 80%, and the collapse, rock fall, landslide and other disasters induced by the Jiuzhaigou earthquake on August 8, 2017 have caused extensive forest destruction. We found that there are a lot of large wood (LW) in Jiuzhaigou valley that can be transported. According to previous study results, the process of blocking-outburst in gullies will appear with a large number of LW when transported along with debris flows. Compared with the discharge amplification effect of the debris flow in natural gully, the blocking-outburst effect of LW also intensifies the damage. The process of blockage and outburst with LW movement causes the discharge amplification of debris flow, while the discharge amplification coefficient determines the accuracy of discharge calculation, in further it affects the accuracy of engineering design parameters. Moreover, the LW carried in the debris flow may cause strong impact damage to check dams and other engineering measures. Therefore, we take the debris flow occurred in the Jiuzhaigou valley as an example to investigate the characteristics of the magnitude amplification ratio.</p>


2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.


2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.


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