Investigating the influence of urban morphology on pluvial flooding: Insights from urban catchments in England (UK).

As climate change intensifies, cities globally are experiencing more severe rainfall and frequent pluvial floods. Urban expansion is altering the permeability of the land, thus increasing the risk of flooding. This study investigates the impact of urban morphology on pluvial floodwater distribution in 15 urban catchments across England, UK, to provide an analysis of how urban morphology influences flood magnitude. Using a cellular automata-based model, pluvial flood simulations were conducted for catchments characterized by diverse urban morphologies. Then a series of machine learning models were adopted to reveal the relationships between the morphological characteristics of urban configurations (e.g., building footprints, impervious surfaces, street network, topography) and pluvial flooding. These models were used to identify and quantify the effects of key urban morphological indicators on pluvial flooding. The results indicate that, although the total area of impervious surfaces plays the most significant role in floodwater distribution, the edge density (ED) of building footprints and impervious surfaces also influences this process. Synthetic experiments with an exemplary urban fabric show that decreasing "ED of building footprint" and increasing "ED of impervious surface" can mitigate flood volume by up to 6.3 % at 100 % drainage efficiency and 7.8 % at 50 % efficiency. The results of this study are anticipated to aid urban planners and policymakers in developing strategies for implementing flood-resilient cities.

Blockage at cross-drainage hydraulic structures - Advances, challenges and opportunities.

Blockage of cross-drainage hydraulic structures is a significant concern in water resources and civil engineering projects, particularly in urban areas experiencing increased debris supply. During storms or floods, debris can accumulate and restrict the flow capacity of these structures, leading to potential failures and adverse impacts on flood levels. While some argue that blockage at culverts is a non-issue, scientific research supports its significance in specific regions. However, in context of rivers and dams, blockage by Large Wood (LW) is an established issue with plenty of research in terms of its hydraulic impacts, dynamics, modeling and scouring impacts. Specifically in Australasia the Australian Rainfall and Runoff (ARR) initiative recognized the importance of studying blockage at culverts and introduced guidelines incorporating it into design and modeling. These guidelines also included post flood visual inspections of structures to understand blockage, however, this approach has been criticized by hydraulic engineers arguing that post flood visuals can not be considered as the representation of the peak floods blockage. Recently, an approach of using visual information to interpret the blockage has been adopted as a new dimension to the problem. This paper, therefore, highlights the advances, challenges, and opportunities in studying blockage, emphasizing the need for data-driven approaches and interdisciplinary collaboration. Understanding and addressing blockage are crucial for ensuring the efficient operation and longevity of hydraulic structures and promoting the resilience of infrastructure systems in the face of evolving environmental conditions.

On mapping urban community resilience: Land use vulnerability, coping and adaptive strategies in Ghana.

Cities across the globe are prioritizing resilience in the wake of increasing climate change-related disasters. About 44% of these disasters are floods and their manifestation in cities is more pronounced, threatening urban social, ecological, and economic systems. This study draws on community resilience and participatory GIS, to examine land use vulnerability to flooding and local coping and adaptive strategies to achieve resilience. Using Ghana as a case study, the results show that participatory mapping offers community resilience benefits by providing context to community resilience challenges and potentials, enabling a deeper understanding of socio-environmental coupling that contributes to flood vulnerability and builds on community adaptive strategies through harnessing local community knowledge. We identified that topography, poor drainage and road network, rainfall variability, residents' land use practices, and land use planning conundrum drive disparities in land use vulnerability to flooding. Participants underscored the necessity of critical urban infrastructure in facilitating community adaptability to floods. The findings indicate that socio-spatial inequities threaten urban community resilience, especially in increasingly cosmopolitan urban contexts, by putting the marginalized urban population in a more vulnerable position. We recommend the prioritization of recognitional equity in community resilience planning efforts to allow for the targeting of resilient interventions that reflect and respect social differentiation in the urban environment so that outcomes will not exacerbate or generate new urban socio-spatial inequalities.

Climate change and resilience of the Senegalese health system in the face of the floods in Keur Massar.

This article is based on the observation that the affected populations perceive existing community-based adaptation strategies to the health effects of floods differently. We explore the resilience of the local health system to climate change (CC) in Keur Massar (Senegal) using a monographic approach based on a qualitative survey of flooded households, health professionals, hygiene agents, community health actors, administrative and local authorities, agents from the Ministries of Health and Environment, and experts from the ecological and meteorological monitoring centre (n = 72). The effects of CC on health are modulated by financial, organisational, social and cultural factors. The effects of CC on health are modulated by traditionally praised by self-centred health governance, which is often based on standardisation of problems and thus not sufficiently attuned to local contexts, especially the climate vulnerability index (CVI) of households and health structures. Despite the existence of programs to combat the consequences of CC, the notorious lack of exhaustive mapping of areas with a high CVI hinders the effective management of the health of the affected populations. A typology of forms of mobility in the context of flooding-ground floor to the upper floor, borrowing a room, renting a flat, seasonal residence-reveals inequalities in access to care as well as specific health needs management of vector-borne diseases, discontinuity of maternal, newborn and child health care, and psychosocial assistance. The article outlines how a health territorialisation based on surveillance and response mechanisms can be co-constructed and made sustainable in areas with a high CVI. Integrating this approach into national health policies allows for equity in health systems efficiently and sustainably.

Effectiveness of drama and music therapies as health communication interventions for reducing anxiety and posttraumatic disorders among children-victims of flood.

This study examined the usefulness of drama and music therapies as communication strategies for reducing symptoms of post-traumatic stress disorder (PTSD) and generalised anxiety disorder (GAD) among school children (aged 10-16) who were victims of the 2022 floods in Nigeria. The researchers randomly assigned the children to control (n = 122) drama therapy (n = 120) and music therapy (n = 120) groups. The result of the study revealed that after the intervention, school children in the drama and music therapies (unlike those in the control group) reported a significant reduction in their PTSD and GAD symptoms; the reduction achieved statistical significance (p = 0.001, ηp2 = 0.48). Further results revealed a significant interactive effect of gender (p = 0.001) with boys reporting a significant reduction more than girls. The results showed that drama therapy contributed more to reducing PTSD symptoms, while music therapy contributed more to reducing GAD symptoms. The difference did not achieve statistical significance (p = 0.23). The researchers conclude that both drama and music therapies were associated with reduced symptoms, indicating the interventions may be beneficial therapies.

Effects of extreme climate events and child mortality on total fertility rate in Bangladesh.

Floods, storms, and temperature extremes are examples of extreme weather events that have a substantial influence on a country's demographic dynamics, including migration, fertility, and mortality. Changes in population size, composition, and distribution may result from these occurrences. This study, which spans the years 1966-2018, looks at how Bangladesh's total fertility rate (TFR) is affected by extreme weather events and child mortality, including neonatal, infant, male infant, and under-five mortality. We use data from secondary publicly accessible sources, such as the World Bank and The Emergency Events Database (EM-DAT), and we investigate the correlations using the autoregressive integrated moving average model (ARIMA), complemented by bivariate and multivariable analyses. Our findings from the univariate analysis are noteworthy. Total extreme climate events (ß = -0.345, 95 % CI: 0.510, -0.180), as well as individual extreme climate events, such as extreme temperatures (ß = -1.176, 95 % CI: 1.88, -0.47), floods (ß = -0.644, 95 % CI: 1.0729, -0.216), and storms (ß = -0.351, 95 % CI: 0.63159, -0.07154), exhibited negative associations with the TFR. Additionally, factors such as contraceptive prevalence rate (CPR) (ß = -0.085, 95 % CI: 0.09072, -0.07954) and gross national income (GNI) per capita (ß = -0.003, 95 % CI: 0.0041123, -0.0024234) were negatively correlated with the TFR. Conversely, various categories of child mortality, namely, infants (ß = 0.041, 95 % CI: 0.040474, 0.042748), males (ß = 0.038, 95 % CI:0.037719, 0.039891), and under-five (ß = 0.026, 95 % CI:0.025684, 0.026979) - are positively associated with TFR. Controlling for two pivotal confounding factors, time and GNI per capita, yielded consistent results in the multivariate analysis. These findings provide insight on the dual impact of extreme weather events, which can reduce TFR while also raising it through infant mortality. This phenomena may be due to the increased vulnerability of younger children in climate-event-prone areas, prompting parents to seek additional children as both a replacement for lost offspring and an insurance mechanism against future child loss.

Quantifying future climate extreme indices: implications for sustainable urban development in West Africa, with a focus on the greater Accra region.

Climate change leading to Climate extremes in the twenty-first century is more evident in megacities across the world, especially in West Africa. The Greater Accra region is one of the most populated regions in West Africa. As a result, the region has become more susceptible to climate extremes such as floods, heatwaves, and droughts. The study employed the Coupled Model Intercomparison Project 6 models in simulating climate extreme indices under the Shared Socioeconomic Pathway scenarios (SSPs) over West Africa between 1979 and 2059 as exemplified by the Greater Accra region. The study observed a generally weak drought in the historical period and expected to intensify especially under SSP585 in Greater Accra. For instance, continuous dry days (CDD) reveal an increasing trend under the SSPs. Similarly, the overall projected trend of CDD over West Africa reveals an increase signifying a more frequent and longer drought in the future. The flood indices revealed a surge in the intensity and duration of extreme precipitation events under the SSPs in the region. For instance, R99pTOT and Rx5days are expected to significantly increase under the SSPs with intensification under the SSP245, SSP370, and SSP585. A similar trend has been projected across West Africa, especially along the Guinean coast. The study foresees a gradual and intensifying rise in heatwave indices over the Greater Accra region. The warming and cooling indices reveal an increasing and decreasing trend respectively in the historical period as well as under the SSPs particularly within urban centers like Accra and Tema. Most West African countries are projected to observe more frequent warm days and nights with cold nights and days becoming less frequent. Expected effects of future climate extreme indices pose potential threats to the water, food, and energy systems as well as trigger recurrent floods and droughts over Greater Accra. The findings of the study are expected to inform climate policies and the nationally determined contribution of the Paris Agreement as well as address the sustainable development goal 11 (Sustainable cities) and 13 (Climate action) in West Africa.

Estimation of return dates and return levels of extreme rainfall in the city of Douala, Cameroon.

The problem of extreme phenomena with a more precise estimation of their return periods for early warnings, notably to preserve the safety of populations and properties, arises all over the world. This work develops another aspect in the estimation of Return Levels (RLs) and Return Periods (RPs) of extreme precipitation in particular and natural risk in general. In particular, it gives the Return Dates (RDs) with their Confidence Intervals (CIs). The RPs, the RLs and their CIs for extreme rainfall were also investigated. These estimates were made by approaching the peak over a threshold chosen by the Generalized Pareto Distribution (GPD). The CIs of RPs and RLs were determined by the Delta method. The daily rainfall data used were obtained from the data of the synoptic report for the period 2011 to 2021 for the Douala weather station (more details can be found on http://www.ogimet.com/guia.phtml.en). To validate the methods used, real cases of floods occurred in Douala city were considered: for example, a local press compiled flood dates and mentioned that a flood occurred on the April 16, 2013 in this city. Following the data of synoptic report, the corresponding amount of rainfall was around 150 mm. The results obtained have shown a RD on the August 12, 2014. The confidence intervals of return levels and return dates determined by the Delta method were [131.66, 168.456] and [June 23, 2014, January 02, 2015], respectively. These results are in agreement with the data of synoptic report since the rainfall amounts was 132.2 mm (belonging to the confidence interval of return levels), on the August 11, 2014 (belonging to the confidence interval of return dates). These predictions of RDs and RLs with their CIs, at reasonable time scales, can help for efficient management of floods and thus, improve early warnings for safety of populations and goods.

Climate change accelerates water and biogeochemical cycles in temperate agricultural catchments.

Climate change is expected to significantly deteriorate water quality in heavily managed agricultural landscapes, however, the exact mechanisms of these impacts are unknown. In this study we adopted a modelling approach to predict the multiple effects of climate change on hydrological and biogeochemical responses for dominant solutes and particulates in two agriculture-dominated temperate headwater catchments. We used climatic projections from three climatic models to simulate future flows, mobilisation and delivery of solutes and particulates. This allowed an examination of potential drivers by identifying changes in flow pathway distribution and key environmental variables. We found that future climate conditions will lead to a general increase in stream discharge as well as higher concentrations and loads of solutes and particulates. However, unlike previous studies, we observed a higher magnitude of change during the warmer part of the year. These changes will reduce the relative importance of winter flows on solute and particulate transport, leading to both higher and more evenly distributed concentrations and loads between seasons. We linked these changes to the higher importance of superficial flow pathways of tile and surface runoff driven by more rapid transition from extremely wet to dry conditions. Overall, the observed increase in solute and particulate mobilisation and delivery will lead to widespread water quality deterioration. Mitigation of this deterioration would require adequate management efforts to address the direct and indirect negative effects on stream biota and water scarcity.

Analysis of factors in community willingness to manage floods in East Java during the pandemic.

Urbanisation is an important aspect of environmental management and requires special attention, as half of the world's population lives in urban areas. As the urban population grows, this poses a number of challenges, particularly related to environmental issues and floods. Indonesia, a developing nation and the fourth most populous globally, with over 264 million inhabitants, faces significant environmental and flood concerns, notably exacerbated by the coronavirus disease 2019 (COVID-19) pandemic. These issues are poised to exert a profound and enduring influence on the populace. East Java province, one of the densely populated provinces in Indonesia, experiences complex environmental problems, floods, and air pollution. Therefore, this research identified the factors that influenced the community's willingness to participate in environmental conservation and flood management in East Java province during the COVID-19 pandemic. This research employed a mixed-method approach, combined qualitative and quantitative methods, and utilised the triangular relationship theory. The result showed six predominant factors within the population of East Java that significantly affected the environmental conditions and the frequency of flood events in the area. Contribution: Floods in the city during the pandemic caused concern for those affected by the disaster and the implementation of activities adjusted government policies. For sustainability, the urban environment in Indonesia is working hard to anticipate flooding in cities. Apart from that, the government, private sector, community leaders, and the media also play an important role.

Infectious Diarrhea Risks as a Public Health Emergency in Floods; a Systematic Review and Meta-Analysis.

Introduction: Infectious diarrhea, a significant global health challenge, is exacerbated by flooding, a consequence of climate change and environmental disruption. This comprehensive study aims to quantify the association between flooding events and the incidence of infectious diarrhea, considering diverse demographic, environmental, and pathogen-specific factors. Methods: In this systematic review and meta-analysis, adhering to PROSPERO protocol (CRD42024498899), we evaluated observational studies from January 2000 to December 2023. The analysis incorporated global data from PubMed, Scopus, Embase, Web of Science, and ProQuest, focusing on the relative risk (RR) of diarrhea post-flooding. The study encompassed diverse variables like age, sex, pathogen type, environmental context, and statistical modeling approaches. Results: The meta-analysis, involving 42 high-quality studies, revealed a substantial increase (RR = 1.40, 95% CI [1.29-1.52]) in the incidence of diarrhea following floods. Notably, bacterial and parasitic diarrheas demonstrated higher RRs (1.82 and 1.35, respectively) compared to viral etiologies (RR = 1.15). A significant sex disparity was observed, with women exhibiting a higher susceptibility (RR = 1.55) than men (RR = 1.35). Adults (over 15 years) faced a greater risk than younger individuals, highlighting age-dependent vulnerability. Conclusion: This extensive analysis confirms a significant correlation between flood events and increased infectious diarrhea risk, varying across pathogens and demographic groups. The findings highlight an urgent need for tailored public health interventions in flood-prone areas, focusing on enhanced sanitation, disease surveillance, and targeted education to mitigate this elevated risk. Our study underscores the critical importance of integrating flood-related health risks into global public health planning and climate change adaptation strategies.

Forecasting of flash flood susceptibility mapping using random forest regression model and geographic information systems.

Flash floods, rapid and devastating inundations of water, are increasingly linked to the intensifying effects of climate change, posing significant challenges for both vulnerable communities and sustainable environmental management. The primary goal of this research is to investigate and predict a Flood Susceptibility Map (FSM) for the Ibaraki prefecture in Japan. This research utilizes a Random Forest (RF) regression model and GIS, incorporating 11 environmental variables (involving elevation, slope, aspect, distance to stream, distance to river, distance to road, land cover, topographic wetness index, stream power index, and plan and profile curvature), alongside a dataset comprising 224 instances of flooded and non-flooded locations. The data was randomly classified into a 70 % training set for model development, with the remaining 30 % used for model validation through Receiver Operating Characteristics (ROC) curve analysis. The resulting map indicated that approximately two-thirds of the prefecture as exhibiting low to very low flood susceptibility, while approximately one-fifth of the region is categorized as high to very high flood susceptibility. Furthermore, the RF model achieved a noteworthy validation with an area under the ROC curve of 99.56 %. Ultimately, this FSM serves as a crucial tool for policymakers in guiding appropriate spatial planning and flood mitigation strategies.

Associated impact mechanism of heavy rain and floods in the middle and lower reaches of the Yangtze river basin based on ocean-atmosphere anomaly patterns.

Heavy rainfall and flooding disasters are increasing due to global warming. A clear understanding of the mechanism of heavy rain and floods is the basic premise of disaster risk management. However, most previous studies emphasized more on the single anomalous signal from the average state in the whole season, which may neglect the combined influence of multiple signals in the ocean-atmosphere and differential characteristics of anomalous signals at different periods. Here, our study aimed to reveal the possible influence mechanism of heavy rain and floods in the middle and lower reaches of the Yangtze River Basin (MLRYRB) by systematically analyzing the monthly-scale and daily-scale ocean-atmosphere anomaly patterns in the preceding periods of heavy rainfall and flooding events. The results showed that heavy rainfall and flooding events were highly likely to occur in the region one month after El Niño decayed, with the flooding intensity in June having the negative correlation with the sea ice concentration anomaly in the Arctic with a lag of about 5 months (150 days). Besides, North Atlantic Oscillation, Western Pacific subtropical high, blocking, East Asian subtropical westerly jet, and the water vapor fluxes from the Arabian Sea and western Pacific Ocean could be used as the anomalous signals inducing heavy rain and floods. The daily-scale conceptual model inducing heavy rainfall and flooding events was built based on the patterns of all anomalous signals, which detailed the possible impact mechanism of heavy rain and floods in the region. By making targeted forecasts of anomalous signals and using this information in water resources planning and management based on climate mechanisms, it will have a significant impact on water management in the country.

Performance and uncertainty assessment of green roofs for urban flood reduction in a high-density catchment in Ahmedabad, India.

Urban flooding poses a significant challenge to the rapidly growing Indian cities. Low-impact development strategies such as green roofs have shown the potential to reduce urban flooding. However, their performance assessment significantly varies across different studies. Therefore, the study's primary objective is to evaluate green roofs in the Indian context. For this evaluation, the green roofs are assessed based on building-level implementation scenarios for a high-density urban area in India for 25%,50%, and 75% application rates and different rainfall intensities (2,3 and 4-h duration and 2,5,10 and 25-year frequencies). Secondly, to probe the variations in the green roof performance across studies, uncertainty contributions to the runoff reduction from different parameters are quantified. The results show that green roofs can reduce up to 62% of flood volume and 24% of runoff. However, they are reasonably effective only beyond 25% application rates. Further, rainfall intensity contributes the most to the uncertainty of runoff reduction from green roofs. This uncertainty assessment implies that localized evaluation of green roofs depending on local rainfall conditions is required for city-wide policy planning. The study has a significant contribution to building confidence in the ability of green roofs to reduce urban floods in the context of developing countries like India.

An assessment of priorities in handling climate change impacts on infrastructures.

Climate change (CC) will likely significantly impact the world's infrastructure significantly. Rising temperatures, increased precipitation, and rising sea levels are all likely to stress critical infrastructures (CI). Rising temperatures can lead to infrastructure damage from extreme heat events. This can cause roads and bridges to buckle or crack, leading to costly repairs and potential traffic disruptions. In addition, heat waves can damage vital electrical infrastructure, leading to widespread power outages. In light of this context, this article reports on a study which examined the connections and impacts of CC on infrastructure. The study employed a mixed-method approach, combining bibliometric analysis for the period 1997-2022 with a series of relevant case studies from the five continents to offer insight into the impact of CC on infrastructure. The article fills a research gap in respect of assessments of the extent to which climate change (CC) negative influences the infrastructure, with a special focus on developing countries. It also showcases CI projects and adaptation measures being currently deployed, to address CC. The results show that the current infrastructure is vulnerable to CC. The selected case studies on CI adaptation show that in developing and industrialised countries, there is a perceived need to understand better the connections and potential impacts of CC on critical areas such as transport, settlements, and coastal infrastructure. In order to protect infrastructure from CC impacts, governments need to invest in measures such as flood control, early warning systems, and improved building codes. Additionally, they need to work to reduce greenhouse gas emissions more actively, which are the primary cause of CC.

Improving flood and drought management in transboundary Upper Jhelum Basin-South Asia.

The two contrasting extremes of the hydrological spectrum have substantial and far-reaching impacts on a wide range of sectors including water resources, agriculture and food security, energy, infrastructure, and ecosystem. The compounding factors of climate change, burgeoning population, and rapid economic development create unprecedented challenges in devising effective and sustainable strategies to cope with these natural disasters and minimize their devastating impacts. This study identifies the geographical areas that are prone to meteorological wet-dry extreme events, as drivers of hydrologic floods and droughts, and their temporal compounding in the transboundary Upper Jhelum Basin-South Asia. Additionally, the study provides a comprehensive overview of the existing and proposed water development projects, their coping capacities, and potential impacts that may be positive or negative in hydrologic, social, economic and environment terms. Extensive review and data analysis revealed that the both Pakistan and India, along with state governments, have implemented a significant number of water-related projects across the basin, however significant progress towards achieving their stated goals remains elusive. Currently, Pakistan operates 15 runoff river type hydropower plants, and an additional 11 similar projects are under construction. In contrast, Indian administrative Kashmir has 10 such plants in operation and 4 under construction. The primary factors that impede the realization of expected benefits from these projects are geography, high flow variability across seasons, climate change, insufficient planning, geopolitical disputes, lack of transboundary cooperation, financial limitations, and reservoir operation. Based on these factors, the present study suggests some alternative water management measures that offer flexibility, cost-effectiveness, accessibility, and a low environmental impact. These solutions include implementation of sub-surface floodwater harvesting system in the southwest of the basin, where extreme wet and dry events occur in close succession, augmentation of existing hydropower reservoirs with floating photovoltaic technology, and non-structural measures, including early warning systems, ecosystems-based adaptation, and green infrastructure interventions such as restoring headwater forests, reclaiming floodplains, and wetlands. This will result in reduced flood and drought impacts at local and downstream areas and reduce the reliance of local communities on forest wood.

Global systematical and comprehensive overview of mountainous flood risk under climate change and human activities.

Snow-covered mountainous regions are crucial for the hydrologic cycle. Any changes in the cryosphere are critical and directly impact the hydrologic cycle and socio-environment of the downstream. It is likely to occur more extreme events of precipitations, raising the risk of flooding worldwide. Glacier melting is increasing, thus the formation of the moraine-dammed lake called glacial lake, whose outburst may be a catastrophic disaster. Due to steep topography, flash floods with high energy can sweep away infrastructure, electric power stations, property, and livelihood and even change the channel morphology, hence the whole environment. In this article, we present the causes of flooding in mountainous regions and historical trends of mountainous flooding and its management policies. Carbon emission is a driver to increase the temperature of the globe and which is triggering the flash floods in mountainous regions is illustrated using data from different sources. The discussion section includes how technology helps to achieve a climate-resilient environment. Understanding river morphology, mapping and monitoring risks, and simulating essential natural processes are necessary for reducing the cascading hazards in the mountains. There is still a gap in modern data collection techniques in mountainous regions. More advanced technology for regional and global collaborations, climate change adaption, and public awareness can build the climate resilience cryosphere.

Floods and cause-specific mortality in the UK: a nested case-control study.

BACKGROUND: Floods are the most frequent weather-related disaster, causing significant health impacts worldwide. Limited studies have examined the long-term consequences of flooding exposure. METHODS: Flood data were retrieved from the Dartmouth Flood Observatory and linked with health data from 499,487 UK Biobank participants. To calculate the annual cumulative flooding exposure, we multiplied the duration and severity of each flood event and then summed these values for each year. We conducted a nested case-control analysis to evaluate the long-term effect of flooding exposure on all-cause and cause-specific mortality. Each case was matched with eight controls. Flooding exposure was modelled using a distributed lag non-linear model to capture its nonlinear and lagged effects. RESULTS: The risk of all-cause mortality increased by 6.7% (odds ratio (OR): 1.067, 95% confidence interval (CI): 1.063-1.071) for every unit increase in flood index after confounders had been controlled for. The mortality risk from neurological and mental diseases was negligible in the current year, but strongest in the lag years 3 and 4. By contrast, the risk of mortality from suicide was the strongest in the current year (OR: 1.018, 95% CI: 1.008-1.028), and attenuated to lag year 5. Participants with higher levels of education and household income had a higher estimated risk of death from most causes whereas the risk of suicide-related mortality was higher among participants who were obese, had lower household income, engaged in less physical activity, were non-moderate alcohol consumers, and those living in more deprived areas. CONCLUSIONS: Long-term exposure to floods is associated with an increased risk of mortality. The health consequences of flooding exposure would vary across different periods after the event, with different profiles of vulnerable populations identified for different causes of death. These findings contribute to a better understanding of the long-term impacts of flooding exposure.

Assessment of coping capacity of public health facilities with health emergency situations during an event of flood in Mumbai.

BACKGROUND: Floods had been a repeated phenomenon in India, causing considerable losses to properties, life and infrastructure, and public utilities. Floods are found to be a common natural disaster occurring not only in developing countries but also in developed nations. Hospital preparedness against disaster could help in the management of the surge of patients in an effective manner. This study aims to assess the capacity of public health facilities for coping up with health emergency situations during an event of flood in Mumbai. MATERIALS AND METHODS: A cross-sectional study was conducted among 38 public health facilities in Mumbai. A purposive sampling technique was used for the selection of the health facilities. Administrative staff, medical officers, and pharmacy in charges were included in the study. RESULTS: The study revealed that surge capacities in hospitals were adequate as they had additional beds for monsoon-related diseases for the preceding flood situation. There was a triage policy, and the staff were trained on the same. Procurement of drugs was easy because of a good networking system between hospitals. Due to this networking system, patients were also transferred to the nearest healthcare facility in a short span of time. CONCLUSION: The response during an event of a flood in the health facilities of Mumbai city was good as they have regular training sessions to be prepared for the emergency situations during monsoon as they have repeated exposure to floods.

Community-based screening for post-traumatic stress disorder among flood victims - A cross-sectional study from Kerala, India.

Background: Natural disasters like floods have various physical and psychological effects on victims. Post-traumatic stress disorder (PTSD) is a condition that arises as a delayed reaction to extraordinarily threatening or catastrophic situations. Aim: The objective was to screen for PTSD and associated factors among victims residing in the flood-affected areas of Kerala, India. Methodology: A community-based screening for PTSD was done among 600 flood victims residing in three selected districts (Pathanamthitta, Alleppey, and Kottayam) of Kerala. A trauma screening questionnaire was used to screen for PTSD. Results: More than 90% of them had to stay in relief camps during floods. More than 80% had damage to houses, followed by loss of domestic animals and vehicle damage. Among participants, 298 (49.7%) screened positive for PTSD 3 months post disaster. No previous history of flooding, odds ratio (OR) = 8.6 [confidence interval (CI) 5.7-13.1]; younger age, OR = 1.41 (CI 1-1.9); higher family income, OR = 4.2 (CI 2.5-6.8); education, OR = 1.4 (CI 1-2.1); flood-related morbidity, OR = 8.8 (CI 5.3-14.8); and death of a family member, OR = 3.4 (CI 1.2-9.3), were the factors that were found to be significantly associated with stress among respondents. Conclusion: Almost 50% of flood victims were screened positive for PTSD. This study's findings reiterate the need to provide psychological support as a priority along with other disaster control measures.