Urban Flood Disaster Risk Assessment and Planning Response: A Case Study of Handan, Hebei Province

Flood disaster is a serious threat to urban security,and flood control and drainage planning is an important measure to ensure urban security.This paper takes planning guidance to empirical research as the main axis.On the basis of meteorological data and spatial data,through the analysis on the risk of disaster-causing factors of flood disasters,the sensitivity of disaster-pregnant environment,the vulnerability of disaster-bearing bodies and the ability of disaster prevention and mitigation,12 indicators are selected to construct a comprehensive evaluation index system for flood disaster risk.Handan City is taken as an example to study the spatial distribution characteristics of flood disaster risk.Based on AHP,weights are assigned to the evaluation indicators of flood disasters in the system,and the risk visualization is carried out in GIS.According to comprehensive risk assessment results,it could put forward corresponding disaster prevention planning strategy for defending flood disaster in Handan City.

Study on Quantitative Assessment for the Social Risk of Major Geological Disasters

Based on the analysis of social risk of geological disasters,the index system of social risk evaluation was established. To assess the social risk quantitatively,a quantitative evaluation model of the social risk was established based on AHP,and the social risk of geological disasters was graded. Finally,the evaluation model was applied in a case.

Discussion on Common Problems in Risk Assessment of Lightning Disaster

The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.

COMMUNAL VULNERABILITY ASSESSMENT FOR NATURAL DISASTERS

An integral part of risk assessment for natural hazards, communal vulnerability assessment (CVA) is now receiving considerable attention, with the on-going International Decade of Natural Disaster Reduction (IDNDR). This article expounds the definition of the CVA concept and its implication. In addition, it offers a brief discussion of the reasons why CVA has been neglected and its relationship with socio-economic and physical vulnerability assessment. The article also gives an explorative exposition of the methodology and application of communal vulnerability analysis in risk reduction.

THE TYPHOON DISASTERS AND RELATED EFFECTS IN CHINA

China is one of the countries which were affected very seriously by tropical cyclones. In this paper, the active features of tropical cyclones which affected and landfell over China, the distinguishing characteristics of typhoon disasters and related formation laws have been studied, and the impact of trphoon disasters on China's socio-economic development have been discussed. The study reveals that typhoon disasters which affected China are characterized by high freqency in occurrence, violent in sudden occurrence, remarkable effects in China,widescope in impact and severe intensities in disasters, and this type of disaster was caused by huge gales, rainstorms, storm surges and reatal chain-disasters.Typhoon disasters have not only caused great casualties but also exerted severe effects on every economic departments in China. There is an annual increasing tendency in direct economic loss caused by taphoon disasters and since 1990, the annual average economic loss has totalled up to over lo billion RMB yuan.

基于GIS的湛江水产养殖台风灾害危险性评估研究(英文)

According to the historical typhoon disaster's data and the influence on the aquiculture,three risk factors were selected as the assessment indexes of typhoon disaster's fatalness.The corresponding risk assessment model was established.Meanwhile,combined with the GIS (Geographic Information System) space visualization technology,the disaster data's functions which included the statistics,analysis,searching,etc.were realized,and the special topic image of typhoon disaster's fatalness was drawn.

Comprehensive Evaluation of Flood and Flood in the Yellow River Basin Based on Gray Correlation Analysis

Due to the concentrated rainfall and serious soil erosion in July and August in the Yellow River Basin, the flood discharge is not timely leading to serious floods. Therefore, a reasonable assessment of the flood-affected areas, advance arrangements for the deployment of the Yellow River basin flood disaster prevention and control plays a decisive role. For this purpose, this paper proposes a level assessment method based on the flood which analyzes three factors related to flooding disaster (disaster impact range, social index, and property index) through the gray correlation analysis method, to evaluate the level of flood disaster. Different from the traditional assessment method, which evaluates the nature of flood from the perspective of indicators such as frequency, duration, and magnitude, or indirect factors such as rainfall and soil loss, this paper conducts qualitative calculation of macro-scale indicators from the perspective of post-disaster losses in previous years. This study provides a new way of thinking and method for the classification of the flood disaster, which has certain practical application value under the condition of conforming to its own use.

Comparative study on the deviation characteristics of post-earthquake intensity evaluation based on two intensity attenuation relationship models

We collect the isoseismal data of 488 earthquakes in western China and 182 earthquakes in eastern China after 1900.The least square method is used to establish two models of the seismic intensity attenuation relationship partitions in China,based on the major and minor axis ellipse models,and the area and the major axis radius,respectively.The two models are applied to the calculation of the intensity circle of the earthquake events with a magnitude M_(S)≥5.0 from 2008 to 2019,and the actual intensity is compared with the model intensity value as an indicator to verify the consistency between the actual intensity and the value from the empirical statistical model.Three real earthquake results are selected to calculate the major and minor axis and area of the ellipse using the two intensity attenuation relationship models.After comparison,we summarize the deviation characteristics of the intensity value,and put forward corresponding improvement suggestions.

A Deep Learning Application for Building Damage Assessment Using Ultra-High-Resolution Remote Sensing Imagery in Turkey Earthquake

Rapid building damage assessment following an earthquake is important for humanitarian relief and disaster emergency responses.In February 2023,two magnitude-7.8 earthquakes struck Turkey in quick succession,impacting over 30 major cities across nearly 300 km.A quick and comprehensive understanding of the distribution of building damage is essential for e fficiently deploying rescue forces during critical rescue periods.This article presents the training of a two-stage convolutional neural network called BDANet that integrated image features captured before and after the disaster to evaluate the extent of building damage in Islahiye.Based on high-resolution remote sensing data from WorldView2,BDANet used predisaster imagery to extract building outlines;the image features before and after the disaster were then combined to conduct building damage assessment.We optimized these results to improve the accuracy of building edges and analyzed the damage to each building,and used population distribution information to estimate the population count and urgency of rescue at different disaster levels.The results indicate that the building area in the Islahiye region was 156.92 ha,with an affected area of 26.60 ha.Severely damaged buildings accounted for 15.67%of the total building area in the affected areas.WorldPop population distribution data indicated approximately 253,297,and 1,246 people in the collapsed,severely damaged,and lightly damaged areas,respectively.Accuracy verification showed that the BDANet model exhibited good performance in handling high-resolution images and can be used to directly assess building damage and provide rapid information for rescue operations in future disasters using model weights.

Community-based scenario modelling and disaster risk assessment of urban rainstorm waterlogging

Scenario modelling and the risk assessment of natural disasters is one of the hotspots in disaster research. However, up until now, urban natural disaster risk assessments lack common procedures and programmes. This paper selects rainstorm waterlogging as a disaster to research, which is one of the most frequently occurring hazards for most cities in China. As an example, we used a small-scale integrated methodology to assess risks relating to rainstorm waterlogging hazards in the Jing＇an District of Shanghai. Based on the basic concept of disaster risk, this paper applies scenario modelling to express the risk of small-scale urban rainstorm waterlogging disasters in different return periods. Through this analysis of vulnerability and exposure, we simulate different disaster scenarios and propose a comprehensive analysis method and procedure for small-scale urban storm waterlogging disaster risk assessments. A grid-based Geographical Information System （GIS） approach, including an urban terrain model, an urban rainfall model and an urban drainage model, was applied to simulate inundation area and depth. Stage-damage curves for residential buildings and contents were then generated by the loss data of waterlogging from field surveys, which were further applied to analyse vulnerability, exposure and loss assessment. Finally, the exceedance probability curve for disaster damage was constructed using the damage of each simulated event and the respective exceedance probabilities. A framework was also developed for coupling the waterlogging risk with the risk planning and management through the exceedance probability curve and annual average waterlogging loss. This is a new exploration for small-scale urban natural disaster scenario simulation and risk assessment.

Characteristics and risk assessment of agricultural meteorological disasters based on 30 years’disaster data from Heilongjiang Province of China

To determine the influence of agricultural meteorological disasters on agriculture in Heilongjiang Province,the disaster areas associated with different types of disasters and their variation characteristics were analyzed based on the statistical data of agricultural disasters from 1983 to 2013 in Heilongjiang Province,China.The moving average and the Mann-Kendall test were applied to identify the variation trends of drought,flooding,hailstorms and freezing(based on the disaster ratio and the disaster intensity index).Then,the Morlet wavelet analysis method was used to identify the periodicity of these four kinds of agricultural meteorological disasters.Finally,a fuzzy comprehensive evaluation method was adopted to analyze the degrees of agricultural loss induced by these disasters.The following results were obtained:1)The disaster ratio and disaster intensity index for drought exhibited increasing trends;the disaster ratio and disaster intensity index for flooding exhibited decreasing trends;for hailstorms,the disaster ratio exhibited no obvious trend of change,whereas the disaster intensity index exhibited an increasing trend;and for freezing,the disaster ratio also exhibited no obvious trend of change,whereas the disaster intensity index exhibited a decreasing trend.2)Mutation points were observed in the disaster ratio series for drought,flooding and hailstorms,whereas no mutation point was evident in the disaster ratio series for freezing.3)Multiple time-scale characteristics were observed in the disaster ratio series for all four types of agricultural meteorological disasters.Furthermore,the disaster ratio series for the different types of disasters had different main periodicities.4)From the perspective of the degree of agricultural loss induced by each type of disaster,drought was identified as the most severe type of agricultural meteorological disaster,followed by flooding,freezing,and hailstorms.The degree of agricultural loss caused by each type of disaster was different during different periods.Finally,based on the results,several strategies were identified for mitigating the effect of agricultural meteorological disasters in Heilongjiang Province.

Climate Change Community-Based and Ecosystem-Based Adaptation Strategies in Selected Coastal Barangays in Masinloc, Zambales, Philippines

Climate change continues to intensify existing disaster risks and vulnerabilities in the Philippines. Thus, implementation of climate change adaptation strategies is vital to counter the effects of climate change. It is in this context that this study was undertaken to analyze the need or urgency to adopt community and ecosystem-based adaptation strategies among selected coastal barangays (villages) of Masinloc, Zambales, Philippines. Various methods of data collection were utilized such as secondary data collection, primary data collection through household survey, key informant interviews, and focus group. Results of the study indicate that in terms of community-based adaptation strategies, all of the seven barangays in Masinloc have moderate necessity. However, only Barangays Bani and Collat have high adaptation capacity in terms of infrastructure and disaster preparedness. The execution of several community-based adaptation strategies helps these barangays to respond immediately and appropriately to the moderate risk posed by floods and storm surges. On the other hand, in terms of ecosystem-based adaptation strategies, all of the seven barangays have moderate necessity which implies that they have moderate vulnerability and risk to flood and storm surge but have high adaptation capacity in terms of the conservation and protection of coastal resources (mangroves and sea grasses). The barangays implemented the necessary ecosystem-based adaptation mechanisms that they might need in the future. This only means that when they are faced with disaster, the local communities are prepared to respond appropriately and to cope up with the effects of extreme weather events which lead to floods and storm surge. Even though most of the ecosystem-based adaptation strategies are conducted by the seven barangays, there are several community-based adaptation strategies that are still lacking which will protect them from the effect of floods and storm surges. Hence, carrying out the missing adaptation strategies, both community-based and ecosystem-based, will help in improving the adaptive capacity of the affected barangays and will help them become more resilient to the amplified effects of climate change.

REVIEW OF RESEARCH ON DISASTER MONITORING AND ASSESSMENT AT LREIS AND DGIS

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Application of oblique photogrammetry technique in geological hazard identification and decision management

With the continuous development of the oblique photography technique, it has been used more and more widely in the field of geological disasters. It can quickly obtain the three-dimensional(3D) real scene model of dangerous mountainous areas under the premise of ensuring the safety of personnel while restoring the real geographic information as much as possible. However, geological disaster areas are often accompanied by many adverse factors such as cliffs and dense vegetation. Based on this, the paper introduced the flight line design of oblique photogrammetry, analyzed the multi-platform data fusion processing, studied the multi-period data dynamic evaluation technology and proposed the application methods of data acquisition, early warning, disaster assessment and decision management suitable for geological disaster identification through the analysis of actual cases, which will help geologists to plan and control geological work more scientifically and rationally, improve work efficiency and reduce the potential personnel safety hazards in the process of geological survey, to offer technical support to the application of oblique photogrammetry in geological disaster identification and decision making and provide the scientific basis for personal and property safety protection and later-stage geological disaster management in disaster areas.

Characterizing Uncertainty in City-Wide Disaster Recovery through Geospatial Multi-Lifeline Restoration Modeling of Earthquake Impact in the District of North Vancouver

Restoring lifeline services to an urban neighborhood impacted by a large disaster is critical to the recovery of the city as a whole.Since cities are comprised of many dependent lifeline systems,the pattern of the restoration of each lifeline system can have an impact on one or more others.Due to the often uncertain and complex interactions between dense lifeline systems and their individual operations at the urban scale,it is typically unclear how different patterns of restoration will impact the overall recovery of lifeline system functioning.A difficulty in addressing this problem is the siloed nature of the knowledge and operations of different types of lifelines.Here,a city-wide,multi-lifeline restoration model and simulation are provided to address this issue.The approach uses the Graph Model for Operational Resilience,a data-driven discrete event simulator that can model the spatial and functional cascade of hazard effects and the pattern of restoration over time.A novel case study model of the District of North Vancouver is constructed and simulated for a reference magnitude 7.3 earthquake.The model comprises municipal water and wastewater,power distribution,and transport systems.The model includes 1725 entities from within these sectors,connected through 6456 dependency relationships.Simulation of the model shows that water distribution and wastewater treatment systems recover more quickly and with less uncertainty than electric power and road networks.Understanding this uncertainty will provide the opportunity to improve data collection,modeling,and collaboration with stakeholders in the future.

The impact of Typhoon Lekima (2019) on East China: a postevent survey in Wenzhou City and Taizhou City

Typhoon Lekima(2019)struck Zhejiang Province on 10 August 2019 as a supertyphoon,which severely impacted Zhejiang Province.The typhoon killed 45 people and left three others missing,and the total economic loss reached 40.71 billion yuan.This paper reports a postdisaster survey that focuses on the storm precipitation,flooding,landslides,and weather services associated with Typhoon Lekima(2019)along the southeastern coastline of Zhejiang Province.The survey was conducted by a joint survey team from the Shanghai Typhoon Institute and local meteorological bureaus from 26 to 28 August,2019,approximately two weeks after the disaster.Based on this survey and subsequent analyses of the results,we hope to develop countermeasures to prevent future tragedies.

Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data

Location-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses.It is not clear how human activities collectively respond to a disaster.In this study,we examined the collective human activities in response to Typhoon Hato at multi spatial scales using aggregated location request data.We proposed a Multilevel Abrupt Changes Detection(MACD)methodological framework to detect and characterize the abrupt changes in location requests in response to Typhoon Hato.Results show that,at the grid level,most anomaly grids were located within a radius of 53 km around the typhoon trajectory.At the city level,there are significant spatial difference in terms of the human activity recovery duration(230 h on average).At the subnational level,the absolute magnitude of abrupt location request changes is strongly correlated with the typhoon-induced economic losses and the population affected.

Seismic Policy, Operations, and Research Uses for a Building Inventory in an Earthquake-Prone City

After the 2016 New Zealand Kaikoura Earthquake,the absence of information about the state of buildings in Wellington proved to be a source of significant policy uncertainty.Authorities did not know what damages to expect and therefore how to react,and policies needed to be formulated without a clear quantification of the risks.Moreover,without detailed knowledge of the existing buildings,it was difficult to assess what the available legal and regulatory tools can achieve and choose among them.We describe the creation of a building inventory database for Wellington initiated by the authors.This database aims to assist the generation of research on the risks,impacts,and viable solutions for reducing future seismic risk in Wellington’s central business district(CBD).The database includes structural,economic,and market information on virtually every significant building in the CBD.Its primary purposes are:to collate and provide the best available information about the expected seismic performance of the existing building stock;to assess the impact of possible multiple building failures due to a seismic event;to describe a viable cost-effective path for seismic retrofitting;and to inform the design of a regulatory structure that can facilitate this resilience-building agenda.