Floods kill numerous people every year in both developed and developing countries. The transfer of research findings from the academic community to practitioners, policy-makers and citizens may reduce the impact of floods on mortality. This systematic review analyzes 44 scientific articles extracted from WOS and SCOPUS databases written in English, published between 2010 and 2020, and focuses on flood fatalities. The first main finding of this review is the classification of drivers of flood mortality into two groups: the first group relates to the environment, and the second group relates to the fatalities. The second main finding is the identification of strategies to practically cope with the identified drivers of flood fatalities. The main shortcomings of the review concern (a) the unavailability of papers based on flood fatality occurrence in developing countries and (b) the absence of data focusing on people who have survived floods. This review amplifies useful findings, best practices and lessons learned that can be useful for administrators, risk managers, and teachers of primary and secondary schools to mitigate the impact of future floods on human life.
In July 2021, catastrophic floods affected Germany and neighboring
countries, killing more than 200 people
(
In each fatal flood, one or more people died due to a series of
circumstances that should be investigated in detail at the scale of a single
fatality to identify which factors people need to be protected from in
future floods. A reduction in
The literature on FFs provides a solid foundation for flood mortality reduction strategies, and it can be used in educational programs which are shaped according to flood fatality drivers that are detected during floods and that occur in different environmental and societal frameworks. Nonetheless, the relevant literature on FFs is often relegated to the academic sector, and risk managers in charge of planning actions and strategies for risk mitigation are not familiar with them. Moreover, FFs are studied from different points of view by several scientific communities, and consequently, the research results are scattered in a multitude of scientific journals in disciplines ranging from emergency medicine to disaster risk reduction.
The present systematic review presents a panoramic framework of factors leading to flood fatalities. It is a practical synthesis that represents an “operational” tool to help safeguard human life during floods. The paper is structured as follows: Sect. 2 explains the selection criteria of the pertinent literature; Sect. 3 presents a classification scheme for the main environmental factors driving FFs; Sect. 4 reports the flood mortality factors tied to fatalities; Sect. 5 presents the possible strategies to reduce flood mortality, acting on both the environment and people; in Sect. 6, a discussion on the limitations of this review is presented; and finally, the main conclusions are reported in Sect. 7.
From the WOS and SCOPUS databases, papers with the following characteristics
were extracted:
written in English; published between 2010 and 2020 (unpublished materials, abstracts and
website articles not subjected to peer review were not included); terms contained in the title include ((flood/s) and (fatalities)), ((flood/s) and
(mortality)), ((floods/s) and (casualties)), ((flood/s) and (deaths)).
Searching key words in only the title ensured the exclusion of papers containing generic sentences such as “floods cause several fatalities” or “flood mortality is going to increase”, even if these papers do not focus on FFs. Article selection was performed following these criteria.
Inclusion criteria were scientific papers reporting fatal accident settings (for example, if the accident occurred outdoors or indoors, in the countryside or in an urban area) and fatalities' characteristics (such as their gender, age, vulnerability factors and behaviors). Papers analyzing one or more of these factors were included in this review. Exclusion criteria were scientific articles on fatalities caused by tsunamis, cyclones, or coastal and no precipitation-related flooding events (e.g., dam failures) as well as papers on fatalities caused by various concurrent hazards (e.g., landslides). Morbidity and long-term flood effects on people were outside the scope of this review. Also dam failures were excluded because the literature generally analyzes aspects like dam structure, height and building material; failure mechanism; volume of water released; and their impact on the whole of the population exposed, not on single persons.
Relevant papers were selected using a hierarchical approach (Moher et al., 2009). The search identified 93 records in WOS and 99 in SCOPUS. An additional 23 articles quoted in these selected papers were added, thus reaching a total of 215 records. After the elimination of duplicate articles, 125 records were obtained and screened (Fig. 1). At this stage, 53 records were excluded because they concerned (a) flood mortality of either vegetal or animal species or (b) morbidity and mortality related to long-term flood effects.
Next, 73 full-text articles were assessed for their eligibility. At this step, 29 papers were discarded because they were not pertinent to the scope of this review as they used the assessed number of FFs as a proxy for flood severity but did not analyze either the setting of the accident or the fatality's profile. Some of these studies involve countries where high flood mortality makes it difficult to realize FF databases, such as India (Singh and Kumar, 2013) and Bangladesh (Paul and Mahmood, 2016). Further articles were discarded because they focused on global flood mortality in relation to economic factors (Hu et al., 2018), flood characteristics (Ahmadalipour and Moradkhani, 2019) or seasonal flood patterns (Vinet et al., 2019).
It must be taken into account that the overview does not necessarily cover all spectrum of related FF papers but only the papers fitting the selection criteria used in this review (e.g., papers published outside the period from 2010 to 2020 are excluded).
PRISMA (Preferred Reporting Items for Systematic Reviews and
Meta-Analysis) flow chart (Moher et al., 2009) for article selection.
Based on the described criteria and through full-text analysis, we identified 26 papers that fully met the search criteria (Table 1) and an additional 18 papers containing supportive information on vulnerability factors and mitigation strategies (Table 2).
Articles selected for quantitative analysis (in chronological order
of publication). Papers labeled with
Continued.
Articles quoted in the text as supportive material (in chronological order of publication).
Papers selected as the primary focus of this review by publication year and study area location.
Papers in Table 1 are based mainly on original FF inventories and secondarily on literature reviews. From a geographical point of view, the studies mostly focus on Europe at the scale of either one or more countries, followed by Australia, with studies at the scale of the entire continent. Four articles focused on the USA or states within the USA. Three studies were performed at the global scale, and only one case focused on FFs in an Asian country (Table 3). In Europe, the scientific community's interest in FFs appears to have increased since the second half of the study period, when 12 out of 14 studies were published. A similar trend was detected in Australia, while for the USA, no recent papers were found that matched the selection criteria in the last 3 years.
The speed of the flood is one of the basic factors that determines a flood's impact on people, and the literature acknowledges that fast events, defined as “flash floods,” are very dangerous to humans, so much so that some papers only focus on flash floods (five papers, 19 %), even if a rigorous criterion to divide flash floods from other floods does not exist. Floods in small and steep basins are classified as flash floods; nevertheless, how small and how steep the basins must be are factors that depend on the local geomorphological and climatic framework. Pereira et al. (2017a) categorized flash floods as those related to short and intense precipitation events affecting small catchment areas over a short duration.
The rapid onset of flash floods may surprise people, giving them a very
short time to decide what to do. From an emergency management point of view,
the rapidity of a flash flood restricts the anticipation time of an
effective response and results in less time for both warning and emergency
procedure activation (e.g., road closures, rescues and evacuations). Flash
floods are very deadly in the Mediterranean regions of France (1988–2015),
where half of all cases took place in watersheds smaller than 150
Non-flash floods can likewise be dangerous to human life, especially in densely populated areas and where floods are primarily caused by tropical cyclone activity and monsoon rain. Paulikas and Rahman (2015) presented a list of the 31 deadliest floods (1950–2012) in Pakistan and found that the number of FFs range from 100 (July 1959) to 10 000 (December 1965).
Another important factor is the flood bedload, which in worst-case scenarios consists of huge debris, such as cars and trees, and results in trauma, orthopedic injuries and lacerations. It is only mentioned in Špitalar et al. (2020) because of the deficiency in public data on the medical cause of death or, alternatively, by accident descriptions supplied by eyewitnesses. The impact of huge debris can cause trauma and weaken the strength of fatalities, promoting drownings. It is impossible to determine what happened first, trauma or drowning. A survey among people who survived floods in Iran highlighted that “when you get stuck in a flood with debris, you may have a big stick to your body, which can break your bone or graze the grass and plant roots in the goblet and you cannot breathe!” (Yari et al., 2019).
Similarly, another factor that was not analyzed in the selected literature because of the lack of data is the temperature of the floodwaters, which may cause hypothermia and heart attacks, leading to death.
A total of 10 papers (38 %) recognize that flood risk causing death is higher in rural areas due to (a) the lack of fast-responding units for rescues, evacuations and road closures; (b) low population densities, which diminish the chances of receiving first aid from laypeople; (c) a lack of mitigating structures, such as bridges over low water crossings; and (d) their geographic location, often at headwater basins, which respond quickly to floods, providing less warning time (Špitalar et al., 2014). In rural areas of Slovenia, the number of fatalities has increased in recent years, especially in cars (Špitalar et al., 2020). A gradual shift in fatalities from urban to rural areas has been detected in Greece (1960–2010), with an increase in vehicle-related fatalities (Diakakis and Deligiannakis, 2017), while in urban environments, higher percentages of deaths occurred indoors, especially among elderly people (Diakakis et al., 2020). In Australia (2002–2012), when compared to drownings in major cities, people in remote or very remote locations were 79.6 and 229.1 times more likely, respectively, to drown in river floods (Peden et al., 2017).
On the other hand, highly urbanized areas, if located in or near flood-prone areas, is in itself a risk, and the increasing concentration of human activities can amplify risk factors, especially where the standard of living is low. The standard of living in most Asian and African countries in terms of mitigation, control and human settlement characteristics is much lower than that in most European countries, where preparedness, warning systems and rescue procedures are more advanced. The strength of one's house, for example, has been demonstrated to have the greatest influence on FFs in countries such as Vietnam (1989–2015) (Luu et al., 2017). According to some authors, flood outcomes in terms of the number of fatalities can only be compared between countries characterized by similar population densities and gross domestic product per capita (Brazdova and Riha, 2014).
Special mention must also be given to events that occur in campsites. In these cases, the number of FFs per event is high because people are grouped together (Aceto et al., 2017) and can be more subject to surprise as people vacationing at campsites in remote locations are often less aware of the weather and do not receive weather warnings, limiting the speed of their response (Terti et al., 2017). In contrast, outside and open-air or close-to-stream events more typically impact individuals than groups of people (Terti et al., 2017). A gap in knowledge exists about the occurrence of accidents related to mobile homes, for which no mention has been found in the analyzed literature, even though they are expected to happen.
Vehicle-related accidents are frequent and are often analyzed in the literature, to the point where some papers restrict their analysis to them (13 articles, 50 %). Since 1960, an increasing number of cars have contributed not only to people's mobility but also to their augmented exposure to floods (Petrucci and Pasqua, 2013; Sharif et al., 2012). In the USA, more than half of flash flood fatalities were vehicle-related, and males died at twice the rate of females for those aged 40 years old and older (Kellar and Schmidlin, 2012).
With regard to their location within the vehicle, in Greece (1970–2010), fatalities were equally divided between drivers and passengers. Males showed an increased representation among fatalities (70 %) and among driver fatalities (86 %), while passenger fatalities were found to be almost equally divided between males and females (Diakakis and Deligiannakis, 2017). In Australia (2001–2017), 60 % of vehicle-related FFs were drivers, 31 % were passengers and 8 % were unknown. Females represented 43 % of fatalities passengers and only 28 % of driver fatalities. Drivers were mainly over 30 years old (88 %), while as might be expected, among passengers, children (46 %) were more numerous than adults. For drivers, middle-aged and elderly males were overrepresented. As passengers, young women and children seemed more vulnerable (Ahmed et al., 2020).
Gissing et al. (2019) identified typical features in vehicle-related locations in Australia: (a) small upstream catchment with rapid rising of floodwaters, (b) an absence of roadside barricades, (c) deep flood waters immediately adjacent to the roadway, (d) an absence of lighting, (e) dipping road grades that lead to floodwaters and increase once a vehicle enters them, and (f) the lack of curbs or ditches. The main mechanisms for vehicle-related FFs are (a) a vehicle on a flooded roadway, which may result in a stalled engine, stranding the vehicle and its occupants as the flood waters rise; (b) moving water, which may push a vehicle off the roadway into deeper water, where it becomes submerged; (c) persons being ejected from a vehicle caught in floodwaters or attempting to escape the flooded vehicle and, once in the floodwaters, drowning or being killed by trauma if they cannot escape; or (d) persons exiting the flooded vehicle and attempting to escape on foot, then falling or stumbling into deeper water from which they cannot escape (Kellar and Schmidlin, 2012).
Except in cases where someone witnessed the accident, the timing of the accident is often largely approximated. The hour at which the accident occurred determines the visibility, which is an important factor affecting, for example, a driver's capability to judge the depth and speed of flowing water. Moreover, in addition to the amount of daylight, visibility depends on other factors that could worsen it, such as intense rain, hail and fog. For this reason, time alone is not fully indicative of the visibility and cannot be used as a predictor in the probability of fatal accidents; in fact, conclusions on this factor are discordant.
In three papers (12 %), accidents were reported to mainly occur at night. In the USA, 51 % of flash flood fatalities (2006–2012) occurred between 22:00 and 05:00 LT, probably because flooded roadways cannot be seen as easily, and people drove inadvertently into dangerous conditions (Špitalar et al., 2014). In Greece (1970–2010), fatal incidents occurred mostly during nighttime, outdoors and in rural areas of the country (Diakakis and Deligiannakis, 2017). In contrast, in Australia (1900–2015), the highest proportion of FFs (36.6 %) occurred in daylight, and the people were probably aware of the flood risk but were surprised by the depth and/or speed of the flowing water (Haynes et al., 2016).
Some papers also analyzed the day of the week to look for relationships among the peoples' habits and intersections with their daily activities and day of accident occurrence. In Australia (2001–2017), vehicle-related FFs occurred mostly just before the weekend (Friday, 24 %), in many cases at night, and noticeably on weekends (Sunday: 17 %; Saturday: 15 %), while on working days, large numbers of incidents occurred on Mondays (14 %) (Ahmed et al., 2020).
The gender of the fatality acts differently according to the socioeconomic characteristics of their community. Studies performed in Europe, the USA and Australia revealed a constantly higher number of male fatalities, as reported in 65 % of the papers in Table 1. In the USA (1996–2014), males exceeded females in all circumstances (Terti et al., 2017). In some European countries (1980–2018), there were fewer female fatalities than males, except for elderly fatalities (Petrucci et al., 2019a). In Australia (1900–2015), 79.1 % of fatalities were males, even if since the 1960s, the proportion of female to male FFs has increased, and for both genders, the proportion of fatalities decreases steadily with age (Haynes et al., 2016). In Texas (1959–2009), significantly more males died in vehicle-related accidents than females (Sharif et al., 2012a). Males' vulnerability can be related to their stronger exposure to floods and due to the higher proportion of males that drive vehicles because of either their wider mobility or their outdoor work. In contrast, female fatalities become more numerous in underprivileged frameworks, as in some Asian countries, even if those sectors of the globe are characterized by knowledge gaps in FFs due to the lack of inventories reporting the gender of fatalities.
Findings on the age of fatalities are rather complex to summarize and compare (a) because of the different age ranges used in each study and (b) because the analysis of age is often combined with other characteristics (e.g., gender) or specific circumstances (e.g., vehicle-related fatalities).
In European countries (1980–2018), the majority of FFs were people between 30 and 64 years, thus in their most productive working years, which explains why several FFs occurred outdoors while heading from home to work premises or vice versa. In contrast, elderly (retired) people were more frequently affected indoors at home (Petrucci et al., 2019a). Even in Australia (1900–2015), elderly people were more frequently trapped by floods in their homes, while younger adults and their children were dragged outdoors, but 43.4 % of deaths occurred in those younger than 29 years (Haynes et al., 2016). In the USA (1996–2014), almost 50 % of the males in vehicle-related fatalities were between 24 and 62 years old, according to the fact that 80 % of licensed drivers are between 20 and 64 years old (Terti et al., 2017).
According to Kellar and Schmidlin (2012), the death rate for both genders in the youngest age range (under 5 years) is more than 2.5 times the death rate of those aged 5–14 years old because of their dependence on others to rescue them from floodwaters. Furthermore, these authors identified higher death rates in males over 70 due to their greater vulnerability to trauma, which decreased their mobility and ability to escape.
It can be argued that people living in a certain location have a deeper understanding of their environment compared to persons who are not residents, e.g., tourists. Residents act more according to their knowledge of the place they live than according to safety procedures: environmental familiarity may cause individuals to underestimate risks, making people more likely to voluntarily enter floodwaters. Accordingly, in some cases, the large majority of fatalities were residents in the proximity of the accident location, and fatalities with a visitor status were not found to have an increased drowning risk, such as in Australia (2002–2012) (Peden et al., 2017). In Greece (1970–2010), the majority of driver fatalities (78 %) permanently lived less than 20 km from the location of the accident (Diakakis and Deligiannakis, 2017).
In contrast, due to their unfamiliarity with the local environment, tourists may be figured as more vulnerable because floods are more likely to surprise them, and they may have difficulties assessing whether the event will affect them and how they should respond. Nevertheless, they may be less vulnerable than residents since they have no emotional attachment to the location and therefore may be able to make decisions more easily (Becker et al., 2015).
Individuals affected by
Many other issues could act as vulnerability factors, such as the weight and
height of individuals, their mobility in water, their clothing and footwear,
and the use of support or carrying of loads (Brazdova and Riha, 2014). In
low-income countries,
Member countries of the OECD (Organization for Economic Co-Operation and Development) are relatively comparable, unlike low-income countries, because the impacts of floods change according to the percentage of the gross domestic product spent on flood management (Lowe et al., 2013). Moreover, even within medium- and high-income countries, disparities place vulnerable groups, such as poor communities of color, ethnic minorities, urban homeless and people with chronic diseases, at severest flood risk (Alderman et al., 2012).
In some countries,
Impaired responses and incorrect perception of danger can be related to
temporary vulnerability conditions caused by
People working in
The frequent mention in the literature of risk-taking actions clearly indicates that human behavior is a crucial factor in flood mortality, and it must be fully understood to focus on customized mitigation strategies such as educational campaigns. Regarding gender, men seem more prone to exceed the standard safety rules, take more risks and put themselves in danger, e.g., to rescue people, pets or belongings.
Males between 10 and 29 years old or those over 60 enter floodwaters for five reasons: (a) for recreational activities; (b) to reach a destination; (c) to retrieve property, livestock or pets; (d) to undertake employment related duties; and (e) to rescue someone (Becker et al., 2015). Nevertheless, crossing a bridge, causeway or culvert is a frequent behavior detected in both males and females (Haynes et al., 2016).
The motivation to enter floodwaters is related to both incorrect risk perception (e.g., underestimating the flood risk or being unaware of it) and social influences (e.g., following others' actions and social pressures) (Pereira et al., 2017). In the case of drivers, the decision to drive into or turn back from floodwaters is the result of their risk perception combined with other factors (e.g., individual, social and environmental) (Ahmed et al., 2018), and even in cases where people are aware of the risks, the depth and/or the speed of the water can take them by surprise due to an underestimation of the water depth or flow velocity (Coates et al., 2014).
People between 18 and 35 years old seem prone
In the majority of cases, drivers chose to enter flooded areas, either to travel across, to save someone or to recover something (Diakakis and Deligiannakis, 2017).
The literature described
The literature suggests general recommendations for reducing both flood risks and flood mortalities. The general agreement around flood mortality is that it is the result of a series of concurrent factors, and, therefore, only strategies that are based on multiple approaches can produce significant effects.
One of the possible strategies to reduce flood mortality is to act on
environmental factors. In the case of flash floods, for example, the
implementation of more accurate
More complex systems have been suggested to avoid vehicle-related accidents,
such as flood depth indicators and
As far as the measures to avoid loss of life inside buildings, a complete analysis of the topic is presented in NYCPlanning (2014), where four steps facilitate the informed decision-making and the correct planning of strategies to protect buildings and people living inside them (1: identify your flood risk; 2: identify your flood elevation; 3: review relevant regulations; and 4: identify your adaptation strategy). In detail, six major retrofitting methods are proposed: elevation, relocation, demolition, wet floodproofing, dry floodproofing and barrier systems. For each of these strategies, a pros–cons analysis is presented in terms of economic cost, loss of usable areas inside buildings, effects on insurance premiums and actual protective effectiveness. A wide portfolio of case studies illustrates in detail the retrofit strategies for several different types of houses.
A series of actions that can improve people's awareness and promote their
self-protective behaviors can be collected, such as memorial actions of past
floods and dissemination of information about recent floods and flood risks
in general. As it is impossible to put warning signs everywhere along river
networks, the safety of nearby citizens can only increase if they are aware
that during floods they need to be cautious and
A frequent proposal is the implementation of long-term customized
To address the cases of people working in specific occupations, e.g., emergency services and rescue personnel, workplace health and safety initiatives could assist with education about the dangers of floodwater entry, the development of skills to assist with appropriate decision-making when faced with floodwaters, physical training for floodwater situations and the provision of appropriate safety equipment if floodwater entry is required as part of their work (Becker et al., 2015).
Other authors suggest
In addition to hazardous behaviors, people can also behave in a self-protective way during floods, successfully managing to save themselves, and these cases should be accurately analyzed to identify and promote safe behaviors. Unfortunately, data on people who were able to save themselves from a flood are very difficult to collect because they are reported in online news and newspapers as generic and in concise descriptions (e.g., “several people saved themselves waiting for rescuers on the roof of their house”). Nevertheless, some self-protective behaviors, such as getting onto the roof or upper floors, climbing trees, or climbing on top of a car roof, have been highlighted in people involved in floods who have survived (Aceto et al., 2017), even if many more data on this topic are necessary to discern if a particular behavior is actually safe or if the people were simply lucky that they were able to save their life.
The studies reviewed provide an updated overview of recent research on FFs.
Nevertheless, some knowledge gaps still exist, and their possible effects on
the quality of this review are described.
In addition to the problems described, the novelty of the study is in the
following points.
A total of 10 years of literature on flood mortality has highlighted that situational rather than generic examination of fatal accidents is required to realistically capture risky behavior during flood events (Terti et al., 2017). The numerous factors leading to flood fatalities are highlighted in this systematic review and have been sorted into two groups, one group relating to environmental factors and another group associated with the fatalities, even if sometimes a clear distinction cannot be made due to the interrelations between all the relevant factors. Accordingly, strategies to reduce flood mortality have also been divided into those that try to modify environmental factors and others that try to improve the risk awareness of citizens. The complexity of the problem suggests the simultaneous implementation of both kinds of remedies synergically to help combat flood mortality.
The research highlighted two important data gaps. The first concerns flood mortality in developing countries, where detailed inventories of flood fatalities should be performed, even for short periods (5 to 10 years). The second gap concerns the actions performed by people who managed to save themselves during a flood. Future research should focus on these data gaps, going deeper into the dynamics of single accidents, and researchers should collect more data on the interaction between individuals and flood events. In addition, the details of recent floods in which survivors can tell their story should be studied. In Europe, Australia and the USA, flood fatality inventories are available, and consequently, the role of factors such as the gender and the age of fatalities is known. In contrast, developing countries require detailed flood fatality inventories instead of the simple counts of fatalities per flood event. Developed countries require studies to shed light on accident circumstances to reach a better understanding of the relative importance of drivers of flood mortality and how they can be used to design mitigation measures. Let us hope that this review showing manifold aspects of the study of flood fatalities will stimulate further research in this field with respect to its other aspects, data mining in regions where such data have been not collected yet or where there is still potential for complementing already-existing datasets.
No data sets were used in this article.
The author is a member of the editorial board of
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I would like to thank reviewers for their work on the paper and useful suggestions.
This paper was edited by Daniela Molinari and reviewed by Freddy Vinet and one anonymous referee.