The perceptions of social responsibility for community resilience to flooding: the impact of past experience,age, gender and ethnicity

Community resilience to flooding depends, to a large extent, on the participation of community members to take more responsibility for enhancing their own resilience. The perception of social responsibility (SR) which is argued to be one of the antecedents influencing individual’s willingness to undertake resilient behaviours can significantly contribute to community resilience through individual and collective actions. Understanding of factors influencing the perceptions of SR of individuals within community might help with developing strategies to increase the perceptions of SR. This research explores perceptions of SR in relation to flooding for householders and local businesses and establishes their relationships with experience of flooding and demographic factors of age, gender and ethnicity. The data were obtained via a questionnaire survey of three communities in Birmingham and one community in South East London, UK, three with experience of flooding and one without. A total of 414 responses were received and used in the multiple regression analysis. The analysis identified ‘experience of flooding’, ‘age’ and ‘South Asian’ ethnic group as significant variables, suggesting that older individuals from South Asian ethnic groups with previous experience of flooding are likely to be more socially responsible than others without these attributes.     

A review of the community flood risk management literature in the USA: lessons for improving community resilience to floods

Natural Hazards - This study systematically reviews the diverse body of research on community flood risk management in the USA to identify knowledge gaps and develop innovative and practical...     

Disaster community resilience assessment method: a consensus-based Delphi and AHP approach

Natural Hazards - Several studies have highlighted the importance of community resilience in disaster management. The paper focuses on Saudi Arabia and proposes a ‘community resilience to...     

Livelihood and vulnerability in the wake of Typhoon Yolanda: lessons of community and resilience

Natural Hazards - Livelihood strategies that are crafted in ‘extra-ordinary’ post-disaster conditions should also be able to function once some semblance of normalcy has resumed. This...     

Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China

With the accelerating progress of industrialization, urbanization and population growth in recent decades, community resilience, the ability of communities to function effectively and recover successfully in the aftermath of disasters and shocks, has received great attentions. A number of studies had been conducted focusing on community resilience. This article applied community resilience framework to the coastal areas of China, which are the most densely populated and economically developed areas in China with the most frequent marine disasters. City-level social and economic data were used to construct a community resilience index (CRI). Using factor analysis and the global principal component analysis method, 55 city-level indexes were reduced into 15 factors that explain 73.99% of the variance. Getis–Ord G* Statistics were used to depict the high-value clusters and low-value clusters of the CRI. Clearly identified spatial and temporal variations of the CRI showed that both the overall level and regional differences of the CRI increased from 2003 to 2013; the overall spatial agglomeration characteristic of community resilience was not significant. Our findings also highlighted the key elements to improving community resilience: a robust and developed economic system; excellent education programs and training to improve consciousness on disaster prevention and mitigation; adequate investment on critical infrastructure, especially transportation and communication; proper environmental policies to protect ecosystems and water rouses; and extra attention and disaster risk budgets for vulnerable populations.     

VEC model of water infrastructure in Los Angeles: implications for community resilience and recovery

Natural Hazards - Intense precipitation events are projected to rise across the southeast USA. The field of meteorology has expanded knowledge of urban precipitation, yet the uneven impacts of...     

Assessing the resilience of Delhi to climate-related disasters: a comprehensive approach

The study addresses disaster risks in Delhi through a resilience approach. It utilizes the Climate Disaster Resilience Index (CDRI) tool, which assesses disaster resilience from five dimensions: physical, social, economic, institutional, and natural. Each dimension comprises 5 parameters, and each parameter consists of 5 variables. The study is carried out in the nine revenue districts of Delhi and reveals that East Delhi is least resilient and New Delhi is most resilient. The CDRI analysis in East Delhi points out the urgent need to focus on key parameters such as housing and land use, population, intensity and frequency of natural hazards, ecosystem services, and land use in natural terms. On the other hand, New Delhi is the most resilient due to all five dimensions, where most significant parameters responsible for its high resilience are housing and land use, population, income, employment, intensity and frequency of natural hazards, ecosystem services, and land use in natural terms. In addition, the overall results of all nine districts show an inverse relationship between resilience score and population density. For example, districts with higher population density show low resilience and vice versa. Moreover, districts located on hazard-prone areas show low resilience. For example, East Delhi and North East Delhi scored low resilience because they both are situated on the Yamuna flood catchment areas. The study further develops key suggestions that are required to address disaster risk in all nine districts of Delhi and discusses future implications of CDRI to address city??s vulnerability. The approach??s distinctness is reflected through its consideration of micro-level diversities and presents some implications to resilience.     

Disaster prevention,disaster preparedness and local community resilience within the context of disaster risk management in Cameroon

This paper presents a simulation of three components of near-field ground shaking recorded during the main shock at three stations of the September 16, 1978, Tabas (M _w = 7.4), Iran, earthquake, close to the causative fault. A hybrid method composed of a discrete wavenumber method developed by Bouchon (Bouchon in Bull Seismol Soc Am 71:959–971, 1981; Cotton and Coutant in Geophys J Int 128:676–688, 1997) and a stochastic finite-fault modeling based on a dynamic corner frequency proposed by Motazedian and Atkinson (Bull Seismol Soc Am 95:995–1010, 2005), modified by Assatourians and Atkinson (Bull Seismol Soc Am 97:935–1949, 2007), is used for generating the seismograms at low (0.1–1.0 Hz) and high frequencies (1.0–20.0 Hz), respectively. The results are validated by comparing the simulated peak acceleration, peak velocity, peak displacement, Arias intensity, the integral of velocity squared, Fourier spectrum and acceleration response spectrum on a frequency-by-frequency basis, the shape of the normalized integrals of acceleration and velocity squared, and the cross-correlation with the observed time-series data. Each characteristic is compared on a scale from 0 to 10, with 10 being perfect agreement. Also, the results are validated by comparing the simulated ground motions with the modified Mercalli intensity observations reported by reconnaissance teams and showed reasonable agreement. The results of the present study imply that the damage distribution pattern of the 1978 Tabas earthquake can be explained by the source directivity effect.     

Investment incentives and distorted development: Industrial decentralization in the Cskei

For nearly twenty years the South African government has engaged in a policy of attracting industry to its internal ‘black states’, the bantustans. This case study of the Ciskei bantustan seeks to show that this politically motivated programme has been costly and ineffectual, both as regards its political objectives and economic development, however broadly defined.     

Resilience,vulnerability and adaptive capacity of an inland rural town prone to flooding: a climate change adaptation case study of Charleville,Queensland, Australia

Australia is currently experiencing climate change effects in the form of higher temperatures and more frequent extreme events, such as floods. Floods are its costliest form of natural disaster accounting for losses estimated at over $300 million per annum. This article presents an historical case study of climate adaptation of an Australian town that is subject to frequent flooding. Charleville is a small, inland rural town in Queensland situated on an extensive flood plain, with no significant elevated areas available for relocation. The study aimed to gain an understanding of the vulnerability, resilience and adaptive capacity of this community by studying the 2008 flood event. Structured questionnaires were administered in personal interviews in February 2010 to householders and businesses affected by the 2008 flood, and to institutional personnel servicing the region (n = 91). Data were analysed using appropriate quantitative and qualitative techniques. Charleville was found to be staunchly resilient, with high levels of organisation and cooperation, and well-developed and functioning social and institutional networks. The community is committed to remaining in the town despite the prospect of continued future flooding. Its main vulnerabilities included low levels of insurance cover (32% residents, 43% businesses had cover) and limited monitoring data to warn of impending flooding. Detailed flood modelling and additional river height gauging stations are needed to enable more targeted evacuations. Further mitigation works (e.g., investigate desilting Bradley’s Gully and carry out an engineering assessment) and more affordable insurance products are needed. Regular information on how residents can prepare for floods and the roles different organisations play are suggested. A key finding was that residents believe they have a personal responsibility for preparation and personal mitigation activities, and these activities contribute substantially to Charleville’s ability to respond to and cope with flood events. More research into the psychological impacts of floods is recommended. Charleville is a valuable representation of climate change adaptation and how communities facing natural disasters should organise and operate.     

Optimization of the freeze pipe arrangement and the necessary refrigeration plant capacity by a femcomputer program

The number and the arrangement of freeze pipes and the energy needed to freeze a certain amount of soil are important factors for the economic success of a freeze project. A thermal design in which these factors are considered is based on the solution of a nonlinear unsteady heat conduction equation including phase transition. The equation is solved by means of a finite-element-method (FEM), considering boundary conditions related to artificial ground freezing.

In this paper the basic mathematical techniques to deal with the transient heat conduction problem, with temperature-dependent soil properties, and the release of latent heat are described. The significance of the convective heat transfer coefficient and the temperature distribution in the coolant running through the freeze pipes are shown and their dependencies to other factors as refrigeration plant capacity or type of flow in the pipes are considered. Finally an example is presented.     

Mapping flood pressure points: assessing vulnerability of the UK Fire Service to flooding

A vulnerability index for the Fire Service in the UK has been designed to identify vulnerable locations during episodes of severe floods. Taking recent case studies with the UK Fire Service, the patterns of vulnerability, in terms of demand on time and resources, can be explained by investigating the environmental causes and their interaction with the adaptive capacity of the response agencies.

Exploring the interactions between vulnerability,resilience and adaptation to extreme temperatures

Natural Hazards - Proposed ways of improving adaptation to climate change have most often been supported by narrowly framed and separate analysis. This article investigates how different levels of...     

Airborne detection of ecosystem responses to an extreme event: Phytoplankton displacement and abundance after hurricane induced flooding in the Pamlico-Albemarle Sound system,North Carolina

Airborne laser-induced fluorescence measurements were used to detect and monitor ecosystem wide changes in the distribution and concentration of chlorophyll biomass and colored dissolved organic matter in the Pamlico-Albemarle Sound system, North Carolina, U.S., following massive flooding caused by a series of three hurricanes in the late summer of 1999. These high-resolution data provided a significantly more detailed representation of the overall changes occurring in the system than could have been achieved by synoptic sampling from any other platform. The response time for the distribution of chlorophyll biomass to resume pre-flood conditions was used as a measure of ecosystem stability. Chlorophyll biomass patterns were reestablished within four mo of the flooding, whereas higher chlorophylla biomass concentrations persisted for approximately 6 mo. The primary trophic level in the Pamlico-Albemarle Sound system returned to equilibrium in less than a year of a major perturbation.     

长江中游洪涝灾害的成因与监测决策支持系统的建立

洪涝灾害的防治是长江中游地区急需解决的首要环境问题。讨论了长江中游洪涝灾害的深层次成因,探讨了运用“3S”技术建设洪涝灾害监测、评估与决策系统的可能性,初步提出了系统设计的基本框架和试验区建设的结构流程。以期通过该系统的建设,利用高新技术手段,为长江中游地区洪涝灾害防治提供科学的决策支持。     

Urban flooding in Britain: an approach to comparing ancient and contemporary flood exposure

Natural Hazards - Using modified UK Environment Agency Flood Estimation Handbook techniques, inundation extent and likely flood hydrographs for 0.1% probability annual return periods are compared...