Heat-Related Failures on Southeast England’s Railway Network: Insights and Implications for Heat Risk Management

2016 ◽  
Vol 8 (2) ◽  
pp. 177-191 ◽  
Author(s):  
Emma Ferranti ◽  
Lee Chapman ◽  
Caroline Lowe ◽  
Steve McCulloch ◽  
David Jaroszweski ◽  
...  
Keyword(s):  
Risk Management ◽  
High Temperatures ◽  
Heat Waves ◽  
Summer Season ◽  
Temporal And Spatial Distribution ◽  
Railway Network ◽  
Railway Infrastructure ◽  
Infrastructure System ◽  
Heat Risk ◽  
The Impact

Abstract High temperatures and heat waves can cause numerous problems for railway infrastructure, such as track buckling, sagging of overhead lines, and the failure of electrical equipment. Without adaptation, these problems are set to increase in a future warmer climate. This study used industry fault data to examine the temporal and spatial distribution of heat-related incidents in southeast England and produce a unique evidence base of the impact of temperature on the rail network. In particular, the analysis explored the concept of failure harvesting, whereby the infrastructure system becomes increasingly resilient to temperature over the course of the summer season (April–September) as the most vulnerable assets fail with each incremental rise in temperature. The analysis supports the hypothesis and clearly shows that a greater number of heat-related incidents occur in the early/midsummer season before reducing significantly, despite equivalently high temperatures. This failure harvesting and the consequential increased resilience of the railway infrastructure system over the course of the summer season could permit an innovative and dynamic new approach to heat risk management on the railway network. New approaches that would reduce the disruption and delays and improve service are explored here.

scholarly journals Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL)

2016 ◽  
Vol 16 (11) ◽  
pp. 2357-2371 ◽  
Author(s):  
Patric Kellermann ◽  
Christine Schönberger ◽  
Annegret H. Thieken
Keyword(s):  
Risk Management ◽  
Risk Aversion ◽  
Flood Risk ◽  
Structural Damage ◽  
Large Scale ◽  
Damage Model ◽  
Flood Damage ◽  
Railway Infrastructure ◽  
Increased Risk ◽  
The Impact

Abstract. Experience has shown that river floods can significantly hamper the reliability of railway networks and cause extensive structural damage and disruption. As a result, the national railway operator in Austria had to cope with financial losses of more than EUR 100 million due to flooding in recent years. Comprehensive information on potential flood risk hot spots as well as on expected flood damage in Austria is therefore needed for strategic flood risk management. In view of this, the flood damage model RAIL (RAilway Infrastructure Loss) was applied to estimate (1) the expected structural flood damage and (2) the resulting repair costs of railway infrastructure due to a 30-, 100- and 300-year flood in the Austrian Mur River catchment. The results were then used to calculate the expected annual damage of the railway subnetwork and subsequently analysed in terms of their sensitivity to key model assumptions. Additionally, the impact of risk aversion on the estimates was investigated, and the overall results were briefly discussed against the background of climate change and possibly resulting changes in flood risk. The findings indicate that the RAIL model is capable of supporting decision-making in risk management by providing comprehensive risk information on the catchment level. It is furthermore demonstrated that an increased risk aversion of the railway operator has a marked influence on flood damage estimates for the study area and, hence, should be considered with regard to the development of risk management strategies.

scholarly journals Decision-Making Process in the Case of Insufficient Rail Capacity

2020 ◽  
Vol 12 (12) ◽  
pp. 5023
Author(s):  
Anna Dolinayova ◽  
Vladislav Zitricky ◽  
Lenka Cerna
Keyword(s):  
Decision Making ◽  
Network Capacity ◽  
Cost Calculation ◽  
Detailed Calculation ◽  
Railway Transport ◽  
Negative Effects ◽  
Railway Network ◽  
Railway Infrastructure ◽  
Rail Infrastructure ◽  
The Impact

One of the main priorities of transport policy in the EU is to take measures to support railway transport as an environmentally friendly transport mode. An interesting challenge for a railway transport operation is represented with cost items for its operation. This problem is exacerbated if transport flows are routed through a congested railway infrastructure. If some or all transport takes place on congested rail infrastructure, the carrier’s costs increase, which may ultimately lead to withdrawal from the market. The article deals with the impact of insufficient capacity on the rail carrier’s costs. We used a pre-cost calculation methodology to calculate the rail carrier’s additional costs due to the insufficient railway network capacity based on detailed calculation of train costs and proposed a methodology for carrier decision-making in case of insufficient rail infrastructure capacity. The case study showed that the use of a diversion track in case of insufficient planned rail line capacity may not be advantageous for carriers, even with a longer waiting time for capacity to be released. One of the ways to eliminate the negative effects of congested railway infrastructure is investment in the increase of its capacity.

AWARENESS AS AN ADAPTATION STRATEGY FOR REDUCING MORTALITY FROM HEAT WAVES: EVIDENCE FROM A DISASTER RISK MANAGEMENT PROGRAM IN INDIA

2012 ◽  
Vol 03 (02) ◽  
pp. 1250010 ◽  
Author(s):  
SAUDAMINI DAS ◽  
STEPHEN C. SMITH
Keyword(s):  
Risk Management ◽  
Heat Wave ◽  
Program Effectiveness ◽  
Heat Waves ◽  
Heat Stroke ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Data Set ◽  
Awareness Campaigns ◽  
The Impact

Heat waves, defined as an interval of abnormally hot and humid weather, have become a prominent killer in recent years. With heat waves worsening with climate change, adaptation is essential; one strategy has been to issue heat wave warnings and undertake awareness campaigns to bring about behavioral changes to reduce heat stroke. Since 2002, the Indian state of Odisha has been undertaking a grassroots awareness campaign on "dos and don'ts" during heat wave conditions through the disaster risk management (DRM) program. The selection criteria for DRM districts were earthquake, flood and cyclone incidence; but subsequently, heat wave awareness also received intensive attention in these districts. We present quasi-experimental evidence on the impact of the program, taking DRM districts and periods as treatment units and the rest as controls, analyzing the impact on the death toll from heat stroke for the 1998 to 2010 period, using difference-in-difference (DID) regressions with a district level panel data set and a set of control variables. We find indications of program effectiveness with initial DID specifications, but results are not always robust. We then take into account a statewide heat wave advertising program, to which the poor have limited exposure but which may also provide spillover benefits, using a triple differencing approach; results suggest the heat wave awareness programs may have complementary impacts. We examine research strategies for further improvement in the precision of impact evaluation results for innovative programs of this type.

scholarly journals Large-scale application of the flood damage model Railway Infrastructure Loss (RAIL)

2016 ◽  
Author(s):  
Patric Kellermann ◽  
Christine Schönberger ◽  
Annegret H. Thieken
Keyword(s):  
Risk Management ◽  
Risk Aversion ◽  
Flood Risk ◽  
Structural Damage ◽  
Large Scale ◽  
Damage Model ◽  
Flood Damage ◽  
Railway Infrastructure ◽  
Increased Risk ◽  
The Impact

Abstract. Experience has shown that river floods can significantly hamper the reliability of railway networks and cause extensive structural damage and disruption. As a result, the national railway operator in Austria had to cope with financial losses of more than one hundred million euros due to flooding in recent years. Comprehensive information on potential flood risk hot spots as well as on expected flood damage in Austria is therefore needed for strategic flood risk management. In view of this, the flood damage model RAIL (RAilway Infrastructure Loss) was applied to estimate 1) the expected structural flood damage, and 2) the resulting repair costs of railway infrastructure due to a 30-year, 100-year and 300-year flood in the Austrian Mur River catchment. The results were then used to calculate the expected annual damage of the railway subnetwork and subsequently analysed in terms of their sensitivity to key model assumptions. Additionally, the impact of risk aversion on the estimates was investigated, and the overall results were briefly discussed against the background of climate change and possibly resulting changes in flood risk. The findings indicate that the RAIL model is capable of supporting decision-making in risk management by providing comprehensive risk information on the catchment level. It is furthermore demonstrated that an increased risk aversion of the railway operator has a marked influence on flood damage estimates for the study area and, hence, should be considered with regard to the development of risk management strategies.

scholarly journals Impact of forest fires, biogenic emissions and high temperatures on the elevated Eastern Mediterranean ozone levels during the hot summer of 2007

2012 ◽  
Vol 12 (18) ◽  
pp. 8727-8750 ◽  
Author(s):  
Ø. Hodnebrog ◽  
S. Solberg ◽  
F. Stordal ◽  
T. M. Svendby ◽  
D. Simpson ◽  
...  
Keyword(s):  
High Temperatures ◽  
Forest Fire ◽  
Forest Fires ◽  
Dry Deposition ◽  
Heat Waves ◽  
Surface Ozone ◽  
Biogenic Emissions ◽  
Fire Emissions ◽  
The Impact ◽  
Ozone Levels

Abstract. The hot summer of 2007 in southeast Europe has been studied using two regional atmospheric chemistry models; WRF-Chem and EMEP MSC-W. The region was struck by three heat waves and a number of forest fire episodes, greatly affecting air pollution levels. We have focused on ozone and its precursors using state-of-the-art inventories for anthropogenic, biogenic and forest fire emissions. The models have been evaluated against measurement data, and processes leading to ozone formation have been quantified. Heat wave episodes are projected to occur more frequently in a future climate, and therefore this study also makes a contribution to climate change impact research. The plume from the Greek forest fires in August 2007 is clearly seen in satellite observations of CO and NO2 columns, showing extreme levels of CO in and downwind of the fires. Model simulations reflect the location and influence of the fires relatively well, but the modelled magnitude of CO in the plume core is too low. Most likely, this is caused by underestimation of CO in the emission inventories, suggesting that the CO/NOx ratios of fire emissions should be re-assessed. Moreover, higher maximum values are seen in WRF-Chem than in EMEP MSC-W, presumably due to differences in plume rise altitudes as the first model emits a larger fraction of the fire emissions in the lowermost model layer. The model results are also in fairly good agreement with surface ozone measurements. Biogenic VOC emissions reacting with anthropogenic NOx emissions are calculated to contribute significantly to the levels of ozone in the region, but the magnitude and geographical distribution depend strongly on the model and biogenic emission module used. During the July and August heat waves, ozone levels increased substantially due to a combination of forest fire emissions and the effect of high temperatures. We found that the largest temperature impact on ozone was through the temperature dependence of the biogenic emissions, closely followed by the effect of reduced dry deposition caused by closing of the plants' stomata at very high temperatures. The impact of high temperatures on the ozone chemistry was much lower. The results suggest that forest fire emissions, and the temperature effect on biogenic emissions and dry deposition, will potentially lead to substantial ozone increases in a warmer climate.

scholarly journals Predictors Associated with Health-Related Heat Risk Perception of Urban Citizens in Germany

2020 ◽  
Vol 17 (3) ◽  
pp. 874 ◽  
Author(s):  
Sabrina Beckmann ◽  
Michael Hiete
Keyword(s):  
Risk Perception ◽  
High Temperatures ◽  
Urban Areas ◽  
Online Survey ◽  
Demographic Data ◽  
Age Groups ◽  
Adaptation Measures ◽  
Health Related ◽  
Heat Risk ◽  
The Impact

The rising probability of extremely high temperatures and an increasing number of consecutive hot days caused by climate change—combined with the impact of these high temperatures on human health—is widely discussed in the literature. There are calls for the development of heatwave adaptation measures by governmental and scientific institutions. In this research, the predictors of health-related heat risk perception of urban citizens in Augsburg, Germany, were investigated. An online survey was conducted with 468 citizens, asking about their heat risk perception, knowledge about heat risks, and demographic data and health information. Statistical methods (Spearman correlation, unpaired t-test, ANOVA and multiple regression) were used to determine which factors were significant and relevant. The results show that the knowledge of heat risks, heat risk sensitivity and an external locus of control are the most important factors for heat risk perception. The health implication score and chronic disease show significant effects in descriptive statistics. Furthermore, younger people showed the highest heat risk perception of all age groups. Surprisingly, income, education, living alone and gender did not play a role in heat risk perception. The findings imply a need for better and intensified heat risk communication in urban areas—especially among elderly people—and thus are important for creating acceptance towards heat wave risks, which is a prerequisite of willingness to adapt.

scholarly journals A model study of the Eastern Mediterranean ozone levels during the hot summer of 2007

2012 ◽  
Vol 12 (3) ◽  
pp. 7617-7675 ◽  
Author(s):  
Ø. Hodnebrog ◽  
S. Solberg ◽  
F. Stordal ◽  
T. M. Svendby ◽  
D. Simpson ◽  
...  
Keyword(s):  
High Temperatures ◽  
Forest Fire ◽  
Dry Deposition ◽  
Heat Waves ◽  
Surface Ozone ◽  
Biogenic Emissions ◽  
Climate Change Research ◽  
Fire Emissions ◽  
The Impact ◽  
Ozone Levels

Abstract. The hot summer of 2007 in Southeast Europe has been studied using two regional atmospheric chemistry models; WRF-Chem and EMEP MSC-W. The region was struck by three heat waves and a number of forest fire episodes, greatly affecting air pollution levels. We have focused on ozone and its precursors using state-of-the-art inventories for anthropogenic, biogenic and forest fire emissions. The models have been evaluated against measurement data, and processes leading to ozone formation have been quantified. Heat wave episodes are projected to occur more frequently in a future climate, and therefore this study also makes a contribution to climate change research. The plume from the Greek forest fires in August 2007 is clearly seen in satellite observations of CO and NO2 columns, showing extreme levels of CO in and downwind of the fires. Model simulations reflect the location and influence of the fires relatively well, but the modelled magnitude of CO in the plume core is too low. Most likely, this is caused by underestimation of CO in the emission inventories, suggesting that the CO/NOx ratios of fire emissions should be re-assessed. Moreover, higher maximum values are seen in WRF-Chem than in EMEP MSC-W, presumably due to differences in plume rise altitudes as the first model emits a larger fraction of the fire emissions in the lowermost model layer. The model results are also in fairly good agreement with surface ozone measurements. Biogenic VOC emissions reacting with anthropogenic NOx emissions are calculated to contribute significantly to the levels of ozone in the region, but the magnitude and geographical distribution depend strongly on the model and biogenic emission module used. During the July and August heat waves, ozone levels increased substantially due to a combination of forest fire emissions and the effect of high temperatures. We found that the largest temperature impact on ozone was through the temperature dependence of the biogenic emissions, closely followed by the effect of decreased dry deposition. The impact of high temperatures on the ozone chemistry was much lower. The results suggest that forest fire emissions, and the temperature effect on biogenic emissions and dry deposition, will potentially lead to substantial ozone increases in a warmer climate.

The Impact of Shariah Governance and Corporate Governance on the Risk Management Practices: Evidence from Local and Foreign Islamic Banks in Malaysia

2018 ◽  
Vol 15 (2) ◽  
pp. 1-20
Author(s):  
Sabri Embi ◽  
Zurina Shafii
Keyword(s):  
Risk Management ◽  
Corporate Governance ◽  
Management Practices ◽  
Principal Component ◽  
T Test ◽  
The Body ◽  
Primary Data ◽  
Islamic Banks ◽  
Shariah Governance ◽  
The Impact

The purpose of this study is to examine the impact of Shariah governance and corporate governance (CG) on the risk management practices (RMPs) of local Islamic banks and foreign Islamic banks operating in Malaysia. The Shariah governance comprises the Shariah review (SR) and Shariah audit (SA) variables. The study also evaluates the level of RMPs, CG, SR, and SA between these two type of banks. With the aid of SPSS version 20, the items for RMPs, CG, SR, and SA were subjected to principal component analysis (PCA). From the PCA, one component or factor was extracted each for the CG, SR, and RMPs while another two factors were extracted for the SA. Primary data was collected using a self-administered survey questionnaire. The questionnaire covers four aspects ; CG, SR, SA, and RMPs. The data received from the 300 usable questionnaires were subjected to correlation and regression analyses as well as an independent t-test. The result of correlation analysis shows that all the four variables have large positive correlations with each other indicating a strong and significant relationship between them. From the regression analysis undertaken, CG, SR, and SA together explained 52.3 percent of the RMPs and CG emerged as the most influential variable that impacts the RMPs. The independent t-test carried out shows that there were significant differences in the CG and SA between the local and foreign Islamic banks. However, there were no significant differences between the two types of the bank in relation to SR and RMPs. The study has contributed to the body of knowledge and is beneficial to academicians, industry players, regulators, and other stakeholders.

The Impact of Heat Waves on Agricultural Labor Productivity and Output

2021 ◽  
pp. 11-20
Author(s):  
Federico Castillo ◽  
Armando Sánchez Vargas ◽  
J. K. Gilless ◽  
Michael Wehner
Keyword(s):  
Labor Productivity ◽  
Heat Waves ◽  
Agricultural Labor ◽  
Agricultural Labor Productivity ◽  
The Impact

scholarly journals Urban Heat Islands and Thermal Comfort: A Case Study of Zorrotzaurre Island in Bilbao

2021 ◽  
Vol 13 (11) ◽  
pp. 6106
Author(s):  
Irantzu Alvarez ◽  
Laura Quesada-Ganuza ◽  
Estibaliz Briz ◽  
Leire Garmendia
Keyword(s):  
Thermal Comfort ◽  
Heat Waves ◽  
Urban Environments ◽  
Urban Heat Islands ◽  
Extreme Weather Events ◽  
Climate Index ◽  
Physiological Equivalent Temperature ◽  
Heat Islands ◽  
The North ◽  
The Impact

This study assesses the impact of a heat wave on the thermal comfort of an unconstructed area: the North Zone of the Island of Zorrotzaurre (Bilbao, Spain). In this study, the impact of urban planning as proposed in the master plan on thermal comfort is modeled using the ENVI-met program. Likewise, the question of whether the urbanistic proposals are designed to create more resilient urban environments is analyzed in the face of increasingly frequent extreme weather events, especially heat waves. The study is centered on the analysis of temperature variables (air temperature and average radiant temperature) as well as wind speed and relative humidity. This was completed with the parameters of thermal comfort, the physiological equivalent temperature (PET) and the Universal Temperature Climate Index (UTCI) for the hours of the maximum and minimum daily temperatures. The results demonstrated the viability of analyzing thermal comfort through simulations with the ENVI-met program in order to analyze the behavior of urban spaces in various climate scenarios.

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