Using historical source data to understand urban flood risk: a socio-hydrological modelling application at Gregorio Creek, Brazil

This is an Accepted Manuscript of an article published by Taylor & Francis in Hydrological Sciences Journal on [date of publication], available online: https://doi.org/10.1080/02626667.2020.1740705.The city of São Carlos, state of São Paulo, Brazil, has a historical coexistence between society and floods. Unplanned urbanization in this area is a representative feature of how Brazilian cities have developed, undermining the impact of natural hazards. The Gregório Creek catchment is an enigma of complex dynamics concerning the relationship between humans and water in Brazilian cities. Our hypothesis is that social memory of floods can improve future resilience. In this paper we analyse flood risk dynamics in a small urban catchment, identify the impacts of social memory on building resilience and propose measures to reduce the risk of floods. We applied a socio-hydrological model using data collected from newspapers from 1940 to 2018. The model was able to elucidate human–water processes in the catchment and the historical source data proved to be a useful tool to fill gaps in the data in small urban basins

Anticipated Memories and Adaptation from Past Flood Events in Gregório Creek Basin, Brazil

From MDPI via Jisc Publications RouterHistory: accepted 2021-11-23, pub-electronic 2021-12-01Publication status: PublishedIn this research we used walking interviews to investigate the measures used by shopkeepers as protection against floods. The concept of anticipated memory has been used to identify the relationship between their learning from previous events and the adaptive measures they have taken to reduce risk of future flooding in Gregório Creek basin. The area is affected by major flooding issues in the city of São Carlos, southeastern Brazil. Twenty-three (23) downtown merchants shared their experience of the extreme rainfall that occurred on 12 January 2020, characterized by a return period of 103 years. Comparing our findings with November 2015 and March 2018 floods (Interviews 37 and 52 respectively), we noted that due to the enhanced level of threat, people had changed their adaptation strategy by increasing the sum of floodgate height more than 4-fold (870 cm to 3830 cm) between 2015 to 2020. Our results showed that despite frequent flooding, the shopkeepers downtown were reluctant to move away from the area; rather, they preferred to improve their individual protection. The substantial increase in the height of the floodgates represents the population’s feedback in the face of a new level of threat

Observatório Sócio Hidrológico para Segurança Hídrica: Definições e estudo de caso em São Carlos, Brasil

The need to better comprehend the relationship between societies and the hydrological cycle led scientists to develop sophisticated mathematical models in order to predict how these relationships will be in the future. However, some transformations might not be predicted in such socio-hydrological models, what makes necessary to search for new methods to build scenarios. In this way, the present work seeks to understand how societies will change the way they deal with water resources regarding different drivers of change, such as population growth, changes in climate, land cover, patterns of consumption and influence of governmental institutions. To do so, this work employs not only official data sets that are public available, but also information provided by citizens through citizen observatories concepts of crowdsourcing, participatory governance and environmental monitoring. Such volunteered information is based on their own experiences, knowledge and individual patterns regarding water management and sanitation aspects from the study area, São Carlos city. The conclusions reveal that the new tool presented in this work, the Socio-Hydrological Observatory for Water Security (SHOWS), makes possible to outline future trajectories of coevolution in coupled human-water system and provide assessment on water security scenarios. This work integrates the water security component facing climate changes, from INCT-MC2 (FAPESP 2014/50848-9), contributes to better comprehend socio hydrological aspects in UK Academies (FAPESP 2018/03473-0) and provides a new tool, the SHOWS, which assists decision makers in resilient cities, in the context of CEPID/CEMEAI (FAPESP 2011/51305-0) e do SPRINT-Warwick (FAPESP 2018/08413-6). At international level, it is a contribution to the activities of \"Panta Rhei – Everything Flows 2013-2022\", promoted by the International Association of Hydrological Sciences, which seeks to understand, estimate and predict the hydrological dynamics to support societies under change.A necessidade de compreender as relações entre as sociedades e o ciclo hidrológico levou cientistas a elaborarem sofisticados modelos matemáticos para prever como estas relações serão no futuro. Porém, determinadas transformações podem não ser previstas nestes modelos sócio-hidrológicos, sendo necessário recorrer a novos métodos para elaborar cenários. Desta maneira, o presente trabalho busca entender como as sociedades irão modificar a maneira que lidam com os recursos hídricos frente aos vetores de mudanças, como crescimento demográfico, alterações climáticas, mudanças do uso e ocupação do solo, influência de instituições governamentais e padrões de consumo da população. Para isto, este trabalho emprega não somente o uso de dados oficiais, disponibilizados em plataformas públicas, mas também as informações fornecidas por cidadãos através dos conceitos dos observatórios cidadãos, como crowdsourcing, governança participativa e monitoramento ambiental. Estas informações voluntárias são baseadas em suas experiências, conhecimentos e padrões individuais em relação a aspectos necessários a gestão dos recursos hídricos e dos sistemas de saneamento da área de estudo, o município de São Carlos. Ao fim, conclui-se que, a partir da ferramenta Observatório Sócio Hidrológico para Segurança Hídrica (SHOWS), é possível interpretar possíveis trajetórias de coevolução entre os sistemas sociais e naturais de maneira a avaliar os cenários de segurança hídrica. Este estudo integra a componente de segurança hídrica frente às mudanças climáticas do INCT-MC2 (FAPESP 2014/50848-9), contribui para a compreensão dos aspectos sócio hidrológicos do UK Academies (FAPESP 2018/03473-0), além de testar uma nova ferramenta, o SHOWS, que serve de auxílio à tomada de decisão em cidades resilientes, no contexto do CEPID/CEMEAI (FAPESP 2011/51305-0) e do SPRINT-Warwick (FAPESP 2018/08413-6). Em âmbito internacional, é uma contribuição às atividades da década científica \"Panta Rhei – Everything Flows 2013-2022\", promovida pela International Association of Hydrological Sciences, a qual busca entender, estimar e prever dinâmicas hidrológicas para apoiar sociedades sob mudanças

The challenge of unprecedented floods and droughts in risk management

International audienceAbstract Risk management has reduced vulnerability to floods and droughts globally 1,2 , yet their impacts are still increasing 3 . An improved understanding of the causes of changing impacts is therefore needed, but has been hampered by a lack of empirical data 4,5 . On the basis of a global dataset of 45 pairs of events that occurred within the same area, we show that risk management generally reduces the impacts of floods and droughts but faces difficulties in reducing the impacts of unprecedented events of a magnitude not previously experienced. If the second event was much more hazardous than the first, its impact was almost always higher. This is because management was not designed to deal with such extreme events: for example, they exceeded the design levels of levees and reservoirs. In two success stories, the impact of the second, more hazardous, event was lower, as a result of improved risk management governance and high investment in integrated management. The observed difficulty of managing unprecedented events is alarming, given that more extreme hydrological events are projected owing to climate change 3

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2022-002_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (version 2)

As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices