Natural Disaster Risk Monitoring for Immovable Cultural Relics Based on Digital Twin

Natural disaster risk monitoring is an important task for disaster prevention and reduction.In the case of immovable cultural relics,however,the feedback mechanism,risk factors,monitoring logic,and monitoring indicators of natural disaster risk monitoring are complex.How to achieve intelligent perception and monitoring of natural disaster risk for immovable cultural relics has always been a focus and a challenge for researchers.Based on the analysis of the concepts and issues related to the natural disaster risk of immovable cultural relics,this paper proposes a framework for natural disaster risk monitoring for immovable cultural relics based on the digital twin.This framework focuses on risk monitoring,including the physical entities of natural disaster risk for immovable cultural relics,monitoring indicators,and virtual entity construction.A platform for monitoring the natural disaster risk of immovable cultural relics is proposed.Using the Puzhou Ancient City Site as a test bed,the proposed concept can be used for monitoring the natural disaster risk of immovable cultural relics at different scales.

Investment Risks of Agricultural Listed Companies from Visual Angle of Natural Disasters

The essential feature of agriculture is the interweave- ment of natural reproduction and economic reproduction.In recent years,the natural disasters have become more frequent and badly affect the production management and investment benefits.This problem has been an important risk in managing agricultural listed companies and cannot be ignored.It is of great importance to evaluate and prevent the risks of the natural disasters to enhance the competitive ability and increase the profits of those listed companies,thereby keeping the sustainable development of agri- cultural companies.

Areas vulnerable to natural disasters and damage estimation of infrastructure in Busan, Korea

Since the damages caused by disasters associated with climate anomalies and the diversification of the social structure increase every year, an efficient management system associated with a damage assessment of the areas vulnerable to disasters is demanded to prevent or mitigate the damages to infrastructure. The areas vulnerable to disasters in Busan, located at southeastern part of Korea, were estimated based on historical records of damages and a risk assessment of the infrastructure was performed to provide fundamental information prior to the establishment of the real-time monitoring system for infrastructure and establish disaster management system. The results are illustrated by using geographical information system(GIS) and provide the importance of the roadmap for comprehensive and specific strategy to manage natural disasters.

Exploring natural and anthropogenic risk for cultural heritage in Cyprus using remote sensing and GIS

On site observation is the most common way of monitoring cultural heritage sites and monuments in Cyprus.However,this procedure that includes data collection,periodical observations,and multivariate risk assessment analysis is difficult to accomplish with the traditional practices and methods since it is time consuming and expensive.Furthermore,many archaeological sites and monuments are located at inaccessible areas,far away from the main road network and urban areas.Satellite remote sensing and Geographical Information Systems(GIS)can successfully confront this problem by providing the scientists with integrated monitoring of the study areas and the unique advantage to store and manipulate a large amount of spatial and attribute data simultaneously.Actually the monitoring and identification of several natural and anthropogenic hazards in the vicinity of the cultural heritage sites in Cyprus,seems to be one of the main priorities of its governmental and municipal authorities.This study aims to integrate both satellite remote sensing techniques and GIS in a multidisciplinary approach,for monitoring anthropogenic and natural hazards with the use of archived and up-to-date multitemporal remotely sensed images in the study area,namely in areas nearby cultural heritage sites and monuments in Cyprus.In this study anthropogenic hazards include urbanisation and extended land use changes in the surroundings of archaeological sites and natural hazards concern seismicity and sea erosion.

Operationalizing Iterative Risk Management under Limited Information:Fiscal and Economic Risks Due to Natural Disasters in Cambodia

Iterative risk management and risk-sensitive public investment planning are increasingly seen as essential elements of natural disaster resilience. This article assesses the disaster risk facing the hazard-prone Southeast Asian country of Cambodia and discusses its fiscal preparedness and need for proactive disaster risk management.The study provides a bottom-up assessment of flood and cyclone risks to public and private buildings including educational structures, health facilities, and housing and estimates the total direct economic damage to range from approximately USD 304 million for a 5-year return period event to USD 2.26 billion for a 1000-year return period event. These estimates were further analyzed using the fiscal risk due to disasters, which indicates that Cambodia will likely face a resource gap whenever a hazard as large as that of a 28-year return period event strikes. Given the frequent occurrence of disasters and rapid accumulation of capital assets taking place, proactive risk reduction is highly advisable. But interviews with national policymakers also revealed that there are a number of barriers to effective risk reduction and management in Cambodia. The general lack of awareness regarding risk-based concepts and the limited availability of local risk information necessitate a continued and sustained effort to build iterative risk management in Cambodia.

New Framework Based on Fusion Information from Multiple Landslide Data Sources and 3D Visualization

Recent monitoring techniques employ multiple sources of information for the characterization of the phenomenon to be studied, being the coupling and adjustment of multi-source data one of the first challenges to consider and solve. The authors propose a new framework of the multi-source and multi-temporal data-oriented fusion for the characterization of landslide events. The main objective is to generate 3D virtual models(in the form of dense point clouds) and feed them back with the characteristic of soil and subsoil information. The scheme consists of three main steps. The first one is on-site data collection(geological characterization, geophysical measurements, GPS measurements, and UAV/drone mapping). The second step is generation of a high-resolution 3D virtual model(~1-inch spatial resolution) from the frames acquired through the UAV using the structure of motion(SfM) processing;the developed virtual model is optimized with GPS measurements to minimize geolocation error and eliminate distortions. The last step is assembling of the acquired data in the field and densified point cloud considering the different nature of the data, re-escalating procedure and the information stacking layer.