Mitigation Actions Research Articles

Wind risk and mitigation calculator framework for determining the wind annualized risk for single- and multi-family homes to support resilient community decision-making

Communicating risks and mitigation benefits associated with natural hazards such as wind to the general public is challenging given the location-dependency of parameters and the complexity of the problem. Web tools play a crucial role in educating residents, decision-makers, and stakeholders regarding potential wind hazard losses to, for example, residential buildings.However, a notable gap exists on the practical incorporation of mitigation actions within these tools. This gap hampers the collective awareness and understanding among stakeholders, communities, and citizens regarding the tangible advantages of mitigation strategies in reducing wind-related risks. Furthermore, there exists a need to elucidate the functionality and objectives of these tools in a more accessible manner. This study aims to present and outline the wind risk and mitigation calculator tool (WRMCT) within the Hazardaware platform, which is an address-based risk assessment tool. This tool, developed for 196 counties in the Gulf of Mexico coastal area, facilitates users' education of potential risks and benefits associated with mitigation strategies. WRMCT enables users to access location-specific wind risk and interactively suggests potential mitigation actions along with economic savings to support informed decisions and residential risk reduction. WRMCT intends to enhance users’ ability to make informed decisions, take proactive measures in mitigating wind hazards, and contribute to the development of resilient, residential communities.

Constructing climate change rentierism in Jordan

ABSTRACT Jordan is exceptionally vulnerable to climate change and has limited adaptive capacities. It is also a non-democratic state with an ubiquitous role for the monarchy that results in narratives that seek to promote the regime’s stability by securing external support in the form of ‘rents’. In this paper we examine how the government ‘rents out’ Jordan’s stability and its engagement with climate change initiatives to the international community through its unintentional use of fearmongering. Jordan’s vulnerability narrative, in particular, highlights its stabilising role in regional affairs (e.g. by hosting refugees from neighbouring countries) and attracts the support of external actors interested in its stability. While rent-seeking behaviour could serve as a short-term solution to the imminent threats imposed by climate change, it can also reinforce authoritarianism and divert attention away from long-term sustainable adaptation and mitigation activities.

An Analysis of the IMF’s International Carbon Price Floor

Abstract The International Monetary Fund (IMF) has proposed an International Carbon Price Floor (ICPF) arrangement among six major emitting economies (the US, EU, UK, Canada, China, and India) to scale up global climate mitigation action. Our quantitative analysis of the IMF’s ICPFs indicates that, compared to the committed policies of National Determined Contributions (NDCs), differentiated price floors are non-binding for developed countries – and therefore have a limited impact on their climate actions. However, for developing countries (e.g. China and India), the ICPFs effectively translate into substantial increases in carbon prices. Essentially, the ICPFs place additional responsibilities of emission reductions and economic costs fully on China and India. Given this gap between the participation incentives of developed and developing economies, we believe that the ICPF arrangement, in its current form, is unlikely to be adopted by major economies. To address this, we recommend that the IMF devote efforts to: (1) estimating the price equivalents of non-price policy instruments, as well as re-calibrating the desirable floors for broadly defined carbon prices; and (2) considering options to redistribute the economic benefits between developed and developing countries by increasing the availability of climate mitigation funds and low-carbon technologies to developing countries.

Genome-Wide Population Structure in a Marine Keystone Species, the European Flat Oyster (Ostrea edulis).

Ostrea edulis, the European flat oyster, was once a widespread economically and ecologically important marine species, but has suffered dramatic declines over the past two centuries. Consequently, there has been a surge in European restoration efforts, many of which focus on restocking as a conservation measure. In this study, we used whole-genome sequencing (WGS) data to investigate the population structure, demographic history, and patterns of local adaptation of O. edulis across its natural distribution with increased sampling densities at Scandinavian localities. Results revealed seven distinct genetic clusters, including previously undescribed complex population structure in Norway, and evidence for introgression between genetic clusters in Scandinavia. We detected large structural variants (SVs) on three pseudo-chromosomes. These megabase long regions were characterised by strong linkage disequilibrium and clear geographical differentiation, suggestive of chromosomal inversions potentially associated with local adaptation. The results indicated that genomic traces of past translocations of non-native O. edulis were still present in some individuals, but overall, we found limited evidence of major impacts of translocations on the scale of contemporary population structure. Our findings highlight the importance of considering population structure and signatures of selection in the design of effective conservation strategies to preserve and restore wild native European flat oyster populations, and we provide direct knowledge safeguarding sustainable mitigation actions in this important species.

Public, Private and Public-Private Partnerships (PPP) to Implement a One Health Approach to Combat Antimicrobial Resistance in Colombia

Abstract The establishment of public-private partnerships (PPPs) within Colombia, Latin America, is a recent, innovative effort within the nation’s agricultural industry to tackle antimicrobial resistance (AMR) under a One Health approach. PPPs are a formal alliance between representatives from the public and private sectors that aim to promote cross-sectoral collaboration, stewardship and accountability. Members agree on shared objectives and responsibilities, resources and risks to establish monitoring, prevention and mitigation activities against AMR within the farming industry. Key learnings of this initiative within the context of Colombia include: maximisation of results when monitoring is assigned to the private sector, and this may apply to other lower-middle-income countries (LMICs); objectives are better achieved when they are pre-defined according to time, budget and human resource constraints of member institutions; and confidentiality agreements must be consistent with the sensitive nature of surveillance information. Barriers to implementation were also identified, such as frequent changes of government personnel at decision making levels that make governance planning and adaptation challenging, while legal formalities and bureaucracy hinder formalisation of agreements. The success of this PPP is a useful example for other LMICs to aid in the control and prevention of animal diseases, promotion of food safety and reduction in poor animal health which limit commerce, while at the same time, minimising production loss and ensuring the provision of a fair income for producers. Information © The Authors 2024

ASSESSING THE DEVELOPMENT OF THE BRAZILIAN ELECTRIC VEHICLES MARKET: A STUDY INTEGRATING A STRUCTURE-CONDUCT-PERFORMANCE (SCP) MODEL AND A PESTEL ANALYSIS

Climate change is one of the biggest political and economic challenges faced by global economy. To slow down climate change, mitigation actions and greenhouse gas (GHG) emission targets have been adopted, promoting electric vehicles (EVs) globally. In Brazil, however, emission reduction strategies for the transport sector are based on the broad use of biofuels. This paper studies the Brazilian light-duty vehicle EVs market investigating the reasons behind its current state. A Structure-Conduct-Performance Model with a PESTEL Analysis and the Herfindahl–Hirschman Index integrated to the structure analysis was used. The Brazilian EV market has grown in the period from 2019 to 2023, albeit timidly and restricted to a luxury market. The lack of actions promoting electric mobility, a less than promising economic scenario, the challenges in implementing a charging infrastructure and the conduct of the incumbent firm in the market – investing in high priced hybrid models – contribute to low penetration of EVs in the market and the dominance of hybrids amongst them. In the light of these findings, this study highlights that the Brazilian EVs market would benefit from public policies developed to promote electric mobility, and investment of private companies to develop EV models with more competitive prices.

US land sector mitigation investments and emissions implications

The land sector is anticipated to play an important role in achieving U.S. GHG emissions targets by reducing emissions and increasing sequestration from the atmosphere. This study assesses how much different levels of investment could stimulate land-based mitigation activities in the U.S. By applying a dynamic economic model of the land use sectors, with representation of 26 forestry and agricultural mitigation strategies across 11 U.S. regions, the study shows that annual investments of $2.4 billion could deliver abatement of around 80 MtCO2e annually. Under an optimal allocation of investments, the forestry sector and the Corn Belt are projected to receive the largest share of funds. Restricting land-based activities eligible for funds significantly reduces overall potential mitigation. For instance, if $24 billion investments are allocated only to agricultural activities, mitigation declines by 48% to 54 MtCO2e/yr over the next ten years. Finally, the level of abatement from each policy depends on the timing of implementation as the lowest cost mitigation actions are generally taken by the policy implemented first.

Current Context in Brazil and in The State of Pará Regarding Studies on Electro-Electronic Waste Integrated Into Reverse Logistics: A Systematic Literature Review (SLR)

Objective: This study aims to contextualize the management of electronic waste (EW) in Brazil, with an emphasis on the state of Pará. It also seeks to identify the main environmental impacts and mitigating actions related to the inadequate disposal of this waste. Theoretical Framework: The research is based on concepts of sustainability and reverse logistics (RL) applied to the management of EWE, with a focus on mitigating environmental impacts and identifying actors responsible for implementing public policies. Method: The methodology adopted involves conducting a systematic literature review (SLR) in the Capes Periodicals database, covering publications from the last 10 years. Ten articles were selected for analysis, in addition to 4 articles specific to Pará. The analysis was guided by three research questions related to environmental impacts, mitigating actions and actors involved in RL. Results and Discussion: The main results indicate that the inadequate disposal of EW causes significant damage to the environment and human health. RL was identified as the main mitigating action, with the government being the most relevant actor in the implementation of public policies. Research Implications: This research contributes by providing a comparative overview between Brazil and Pará, offering support for improvements in EW management and sustainability policies. Originality/Value: The originality of the study lies in the comparative analysis of national and regional data, highlighting the relevance of public policies in the context of RL.

The Regional Scale of Landscape Planning: the Possibilities for Measuring the Effectiveness of Nature-Based Solutions

Aim: The aim of this study is to investigate the measurement of landscape integrity based on ecological support processes in the Federal District, with the aim of defining a multi-scalar and multi-functional Regional Green Infrastructure Network (IVR) based on Nature-Based Solutions (NBS). Theoretical Framework: This topic presents the main concepts and theories that underpin the research. Landscape Ecology, Restoration Ecology, Green Infrastructure and Geodesign stand out, providing a solid basis for understanding the research context. Method: The methodology adopted for this research comprises the analysis of ecological support processes in the landscape, using the multispectral “CO2flux” index, related to the photosynthetic efficiency of vegetation and a proxy for energy, carbon and biomass inputs, which, together with the “Topographic Wetness Index”, related to the flow and accumulation of water and sediment in the landscape, provided the basis for the elaboration of a Geodesign process. Data was collected using multispectral satellite scenes - “Landsat 8”, collected during the dry season. Results and Discussion: The results obtained revealed the design of a mosaic of “hotspots”, corridors and patches that consolidates and intensifies carbon flows in the Federal District's landscape, with positive impacts on territorial resilience. In the discussion section, these results are contextualized in the light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: The practical and theoretical implications of this research are discussed, providing “insights” into how the results can be applied, or how to influence practices in the field of landscape planning. These implications can cover the design of Nature-Based Solutions at a regional scale, climate mitigation and adaptation actions for territories, and people's access to ecosystem services. Originality/Value: This study contributes to the literature by proposing the design of a regional network of green infrastructures based on the analysis of the flow of ecological support processes in the landscape, considering different demands and goals for environmental recovery. The relevance and value of this research is evidenced by the possibility of planning and designing mosaics in the landscape based on the identification of networks with greater potential for the provision of ecosystem services and, consequently, for the adaptation and mitigation of territories to climate impacts and those resulting from human occupation.

Awareness and preparedness of health systems and emergency medicine systems to the climate change challenges and threats: an international survey.

Climate change is widely recognised as a critical public health challenge. The objective of this study was to assess the awareness, preparedness and mitigation plans for climate change threats. A cross-sectional observational study targeting emergency medical societies in different countries was conducted between 15 February and 15 March 2024. The survey featured 16 closed questions on climate change awareness, preparedness and risks. Focus groups of 4-6 members were organised by country. Results were correlated to income levels, United Nations (UN) regional classification and the World Risk Index. The questions were ranked using a Likert-like scale from 0 to 9 (9 being the highest). Descriptive statistics used central tendency estimators, and inferential analysis used chi-square and Kruskal-Wallis tests, with the significance level set at P < 0.05. Forty-two focus groups responded, representing 36 countries: 21 (50%) high-income, seven (16.7%) low-income, five (11.9%) lower middle-income and nine (21.4%) upper middle-income countries, representing 31 of the 22 UN regions. According to the World Risk Index, the respondent countries belonged to the different categories as follows: very low risk, 6 (14%); low risk, 8 (19%); medium risk, 5 (12%); high risk, 8 (19%) and very high risk, 14 (34%). The estimated impact of climate change on national health systems had a mean score of 6.75 (SD = 2.16), while on Emergency Medical Systems was 6.96 (SD = 2.05). Overall, assessment and preparedness measures were reported by just 21.4 and 37.6% of respondents, respectively. Analysis by income did not show significant differences, with the exception of food supply. The main differences in the analysis by region were the risks of extreme weather events, vector-borne diseases and wildfires, whereas the World Risk Index was food and chain of supplies. Education and integration of health services were indicated by all as the main mitigation actions. Geographical position and country risk index influence risk perception among focus groups more than income economy, with vector-borne diseases, extreme weather events and food shortages being the threats with the most variability. The most important actions identified to mitigate Climate Change effects are educational and strategic plans.

Peran Aksi Kolektif untuk Mitigasi Bencana dalam Resiliensi Komunitas Menghadapi Tanah Longsor

Landslide disasters cause various impacts such as damage to facilities and infrastructure, loss of housing, too many casualties as well as providing psychological impacts that affect the social life of the community. The negative impact of disasters can be reduced by mitigating so that communities can survive. Muara 1 Village, Cibunian Village has carried out mitigation activities both structural and non-structural. Collective action by communities can achieve resilience if communities take collective action. The research method uses a quantitative approach through questionnaires and a qualitative approach with in-depth observation and interviews. Respondents in this study amounted to 80 respondents. Quantitative data was processed using Microsoft Excel 365 application and IBM SPSS Statistic 24 application. This study uses simple statistical analysis supported by qualitative data to see collective action variables with community resilience in facing landslide disasters. The results showed that collective action is still top down and not yet fully the community of Kampung Muara 1 is said to be resilient.

A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment.

Floods are the most destructive, widespread, and frequent natural hazards. The extent of flood events is accelerating in the context of climate change, where flood management and disaster mitigation remain important long-term issues. Different studies have been utilizing data and images from various types of sensors for mapping, assessment, forecasting, early warning, rescue, and other disaster prevention and mitigation activities before, during, and after floods, including flash floods, coastal floods, and urban floods. These monitoring processes evolved from early ground-based observations relying on in situ sensors to high-precision, high-resolution, and high-coverage monitoring by airborne and remote sensing sensors. In this study, we have analyzed the different kinds of sensors from the literature review, case studies, and other methods to explore the development history of flood sensors and the driving role of floods in different countries. It is found that there is a trend towards the integration of flood sensors with artificial intelligence, and their state-of-the-art determines the effectiveness of local flood management to a large extent. This study helps to improve the efficiency of flood monitoring advancement and flood responses as it explores the different types of sensors and their effectiveness.

Analysis of Supply Chain Risk Control in Aceh Nut Work Using the House Of Risk Method Approach (Case Study: Nutmeg Oil Industry in South Aceh Regency)

South Aceh nutmeg oil plays an important role in the trade of essential oils from Indonesia. 70-80% of Indonesia's nutmeg oil trade comes from South Aceh. However, on the other hand, there is a disruption in price stability in the production of South Aceh nutmeg oil which is influenced by the quality standards of nutmeg oil. The purpose of this study is to identify potential risks that arise in the supply chain, find risk agents as the cause of the risk and control the risk by designing risk mitigation and its formulation in the structure of the nutmeg oil supply chain in South Aceh. The technique used in this study is the House Of Risk (HOR) method. The study has obtained 23 risk events and 17 priority risk agents covering Source, Make, Distribution and Costumer (Return) activities. Then from the risk agents obtained, 11 priority mitigation actions were also obtained as a control of the performance of the nutmeg oil supply chain that can be applied in an effort to reduce the occurrence of supply chain risks so that the industry is able to produce optimally and is able to improve the quality of nutmeg oil which of course has a positive impact on the selling value.

Projected Increasing Negative Impact of Extreme Events on Gross Primary Productivity During the 21st Century in CMIP6 Models

AbstractIn the context of increasingly frequent and severe climate extremes, an understanding of the impacts of these events on gross primary production (GPP) and thus on land carbon uptake is crucial. However, research utilizing new model outputs to assess the future trends, characteristics, and driving factors of GPP reduction associated with extreme events remains limited. Here, we use model outputs from Phase Six of the Coupled Model Intercomparison Project (CMIP6) to investigate the spatiotemporal patterns of negative GPP extreme events during the 21st century. We find a notable increase in negative GPP extremes globally under the SSP5‐8.5 scenario. They are characterized by longer durations and larger sizes, despite the smaller number of events. Under the SSP1‐2.6 scenario, while the total negative GPP extremes remain relatively stable, hotspots, including tropical forests, southern China, and boreal forest zones, still experience increases in negative extremes. By attributing these GPP extremes to climate conditions, we identified compound hot and dry conditions, which contributed to over 40% of the negative GPP extremes under both scenarios, as the dominant driver, followed by single‐driver dry conditions. Under SSP5‐8.5, the increasing contribution of compound hot and dry conditions leads to greater GPP reductions through prolonged and intensified negative extreme events. Compared with CMIP5 models, CMIP6 models project an asymmetry of negative and positive GPP extreme events that favors more negative extremes across most regions. Our findings highlight the escalating damage from climate extremes on future ecosystem productivity, emphasizing the urgent need for effective mitigation and adaptation actions.

Lessons From 3 Longitudinal Sensor-Based Human Behavior Assessment Field Studies and an Approach to Support Stakeholder Management: Content Analysis.

Pervasive technologies are used to investigate various phenomena outside the laboratory setting, providing valuable insights into real-world human behavior and interaction with the environment. However, conducting longitudinal field trials in natural settings remains challenging due to factors such as low recruitment success and high dropout rates due to participation burden or data quality issues with wireless sensing in changing environments. This study gathers insights and lessons from 3 real-world longitudinal field studies assessing human behavior and derives factors that impacted their research success. We aim to categorize challenges, observe how they were managed, and offer recommendations for designing and conducting studies involving human participants and pervasive technology in natural settings. We developed a qualitative coding framework to categorize and address the unique challenges encountered in real-life studies related to influential factor identification, stakeholder management, data harvesting and management, and analysis and interpretation. We applied inductive reasoning to identify issues and related mitigation actions in 3 separate field studies carried out between 2018 and 2022. These 3 field studies relied on gathering annotated sensor data. The topics involved stress and environmental assessment in an office and a school, collecting self-reports and wrist device and environmental sensor data from 27 participants for 3.5 to 7 months; work activity recognition at a construction site, collecting observations and wearable sensor data from 15 participants for 3 months; and stress recognition in location-independent knowledge work, collecting self-reports and computer use data from 57 participants for 2 to 5 months. Our key extension for the coding framework used a stakeholder identification method to identify the type and role of the involved stakeholder groups, evaluating the nature and degree of their involvement and influence on the field trial success. Our analysis identifies 17 key lessons related to planning, implementing, and managing a longitudinal, sensor-based field study on human behavior. The findings highlight the importance of recognizing different stakeholder groups, including those not directly involved but whose areas of responsibility are impacted by the study and therefore have the power to influence it. In general, customizing communication strategies to engage stakeholders on their terms and addressing their concerns and expectations is essential, while planning for dropouts, offering incentives for participants, conducting field tests to identify problems, and using tools for quality assurance are relevant for successful outcomes. Our findings suggest that field trial implementation should include additional effort to clarify the expectations of stakeholders and to communicate with them throughout the process. Our framework provides a structured approach that can be adopted by other researchers in the field, facilitating robust and comparable studies across different contexts. Constantly managing the possible challenges will lead to better success in longitudinal field trials and developing future technology-based solutions.

Green Connections: Adaptive, Integrated, and Nature-Based Solutions for Urban Historic Centres

Choosing adaptation and mitigation actions, through nature-based solutions, fosters the ecological transition process, which is necessary to face the challenges of climate change. However, these interventions are often discontinuous and disconnected, especially within dense and delicate urban fabrics such as historic centres. The research proposes a multi-scalar methodological approach aimed at defining an integrated design tool to improve the microclimatic well-being, accessibility and aesthetic quality of open spaces located in consolidated urban environments. Through the synergy between natural, technological and social components, the aim is to create replicable minimum intervention units designed to foster democratic and ecosystemic connections.

Climate leadership competencies in public sector organisations in the Pirkanmaa region of Finland

Regions play an important role in concretising climate change mitigation and adaptation action. In this study, we asked those who work in designing and implementing climate strategies in regional public sector organisations in the Pirkanmaa region of Finland, for their views on what is needed for climate leadership in a regional organisation. We characterise the attributes of a climate leader in the context of regional public sector organisations in terms of the resources, processes, challenges and motivations in their work on climate change mitigation and adaptation, and describe the competencies needed for regional climate leadership. This research aims to support education design better to respond to the needs of regional climate actors.

Exploring Climate Change Impacts on Temperature Extremes in the South Saskatchewan River Watershed, Alberta, Canada

In recent years, the frequency and intensity of extreme temperature events have escalated, posing unprecedented challenges to ecosystems, economies, and human health. As global temperatures rise, these events are emerging as critical threats; therefore, understanding their changes is essential for developing strategies to mitigate their growing risks under global warming. In this study, we used ETCCDI (Expert Team on Climate Change Detection, Monitoring, and Indices) temperature indices to analyze future changes in extreme temperature events in the South Saskatchewan River Watershed (SSRW) in Southern Alberta, Canada, a critical area for irrigation, agriculture, and food production. This analysis is based on an ensemble of 26 Global Circulation Models (GCMs) and three Shared Socio-economic Pathway (SSP) scenarios, in three periods (2015–2030, 2041–2060, 2071–2100), compared against the base period of 1951–1990. The results suggest substantial changes in most of the studied indices towards higher temperatures, with a significant rise in both the numbers of days with extreme temperatures and the magnitude of the temperature itself, as well as a notable drop in the number of cold days. As a result of warming, the growing season length is 16 days longer in 2015–2030 compared to the base period and is projected to increase substantially by the end of the century. A longer growing season might seem favourable for agriculture, but it can disrupt water availability and cause unpleasant environmental consequences. Overall, the scenarios considered in this research suggest that the SSRW could experience warming at a significant rate. This finding underscores the urgent need for adaptation and mitigation actions to enhance resilience and sustainability.

Social-LCA providing new insights and learnings for social responsibility—case pulp and paper industry

Abstract Purpose This paper presents the lessons learnt from testing the ORIENTING S-LCA methodology for a case product of Stora Enso, a globally operating forest industry company. The main purpose of the study was to explore what kind of additional insights and benefits the S-LCA method could provide compared to other existing social responsibility methods and approaches used by companies. Methods The paper briefly describes the applied ORIENTING S-LCA method and its application in the case study, focusing on main learnings gained and development needs identified. The S-LCA methodology proposed in ORIENTING builds upon the UNEP Guidelines for S-LCA (UNEP 2020) and the Handbook for Product Social Impact Assessment (Goedkoop et al. 2020). S-LCA methodology relies on the reference scale approach (RSA) and combines qualitative and quantitative evaluations for assessing social performance and social risk along the product’s life cycle. Social performance assessment approach was applied for company’s own processes covering several life cycle stages and the risk assessment for assessing the supply chain. Results and discussion Based on the case company’s experience, social assessments are currently conducted mainly on company or facility level. Moving towards product-based assessments could help gaining a more transparent view of products’ value chains and bring new possibilities for example to supplier specific sustainability audits. With the product-based S-LCA, the company could more easily identify, e.g., in which life cycle stage they would have most gaps on information and on which social matters, and take different stakeholders’ needs better into consideration in different life cycle stages. Areas that require further development concern especially data availability, assessment efficacy, and formulation of social topics. Conclusions The study demonstrates that the S-LCA methodology offers several benefits when addressing social sustainability issues in the pulp and paper industry. Comprehensive view over different social topics, life cycle perspective, and stakeholder identification are key elements of S-LCA that may support identifying relevant sustainability topics for the purposes of corporate sustainability reporting. Additionally, they can support defining appropriate mitigation actions that will be required for complying with the requirements related to corporate sustainability due diligence.

An Analysis of Policy Frameworks on Business Formulization and Disaster Management to Mitigate Flood Loss and Damage Among Informal Businesses in Sri Lanka

The 27th Conference of the Parties to the United Nations Framework Convention on Climate Change in Egypt made a historical decision on disaster loss and damage for vulnerable countries. Even though parties agreed to salvage vulnerable nations with generous support, a fundamental question remains as to the extent to which these vulnerable countries can accurately identify the most vulnerable communities/areas. In Sri Lanka, informal businesses are particularly vulnerable to floods, but their informal status has limited the extent to which they could receive flood protection, including disaster-resilient infrastructure developments. The main objective of this paper, therefore, is to identify challenges that informal businesses have experienced in dealing with flood disaster risks. In doing so, we analyzed government policies and laws that are related to business formalization and disaster management. We also conducted interviews with key informants to verify our data. Our analysis found that the Sri Lankan government requires informal business owners to follow complicated rules to register their businesses. For these owners, who are not highly educated, these processes and fear of high tax rates discouraged registering their businesses. The central government tends to prioritize flood mitigation actions for formalized business areas. Informal businesses are not usually covered by flood insurance and compensation. In conclusion, we emphasize the need to establish widely available legal and administrative support for informal businesses to register. Adopting business continuity plans (BCPs) and keeping standardized business records also help businesses minimize flood loss and damage.