Long-term Mitigation Measures Research Articles

Detecting drought-prone regions through drought indices

Abstract Climate change has led to heightened variability in global rainfall patterns, resulting in greater unpredictability and inconsistency, and it has led to the origin of meteorological drought situation. This has amplified the frequency of droughts or drought-like conditions worldwide. India, being primarily agrarian, faces significant challenges due to drought, affecting various regions intermittently. Given the urgency of addressing recurring drought issues, it is crucial to determine specific ‘drought-prone’ areas through the analysis of historical and current meteorological data. It is still a challenge to quantitatively understand where and to what extent the impact of rainfall patterns could lead the drought. Whether any region likely comes under drought-prone area or not? Can we help policy makers to apply their knowledge effectively? It will help to undertake the long-term mitigation measures for drought assessment and management which encompasses early warning, monitoring, and relief toward the good health of the society. The present study is a further step in the same direction in which Akola district in Maharashtra, India has been assessed for drought-prone declaration using two drought measuring indices; seasonality index (SI) and aridity index (AI). For this, the measured meteorological data precipitation, and potential evapotranspiration, from 1952 to 2002 is made available from India Water Portal.

Soil organic mater management – a decisive measure in climate change mitigation and adaptation

Global warming requires the implementation of both immediate and long-term mitigation and adaptation measures in agriculture, which is affected by greenhouse gas emissions through the use of practices from the industrial model arsenal of agricultural intensification (oversaturation of planting areas with arable crops and lack of crop rotations with a greater diversity of arable and successive crops; excessive tillage; irrigation; application of mineral fertilizers, especially nitrogen etc.). Data from the long-term field experiments at Research Institute of Field Crops ”Selecția” (Bălți, Republic of Moldova) are proving the dominance of mineralization over humification of soil organic matter with the emissions of CO2 and oxides of nitrogen in the atmosphere. Chernozem soils have a high potential for carbon sequestration and consequently for mitigation and adaptation to climate change. Sustainable and resilient management of soil organic matter is one of the key issues for the transition to a more sustainable agriculture, capable to supply ecosystem and social services.

Plastic waste management: case study of tower market, Hyderabad

Plastic consumption is continuously increasing due to urbanization and growing global demand. The consumption of plastic deteriorates the quality of the urban environment of most cities, especially in developing countries. To overcome this issue to some extent, this study was conducted to prevent the usage of plastic products to provide a healthy environment. The data was collected by using the closed-ended questionnaire survey and by reviewing the literature. The collected data were assessed and analyzed on SPSS (Statistical Package for Social Sciences) software. The survey observed that there is no proper plastic waste disposal system in the study area. People who reside in the area and those who visit the market face an unhygienic environment. The results highlighted that 50% to 60% of residents use plastic items which are dumped at open spaces without proper management after their consumption. This study suggests short-term, mid-term and long-term mitigation measures to reduce the production by using bio-based plastic and consumption by reducing the unnecessary packaging of plastic waste.

Predicting the future climate-related prevalence and distribution of crop pests and diseases affecting major food crops in Zambia

Environmental factors determine the suitability of natural habitats for crop pests and often facilitate their proliferation and that of the crop diseases they carry. Crop pests and diseases damage food crops, significantly reducing yields for these commodities and threatening food security in developing, predominantly agricultural economies. Given its impact on environmental factors, climate change is an important determinant of crop pest and disease distribution. This study uses Targeting Tools, a climate suitability analysis and mapping toolkit, to explore the potential impact of climate change on select environmental factors linked to crop pest and associated diseases’ proliferation. Based on the existing literature, prediction modeling was performed on 21 key pests and diseases that impact the major food crops for Zambian consumption. Future changes in habitat suitability for these crop pests and diseases were mapped based on their optimal temperature and relative humidity conditions for proliferation. Results project that there will be an overall increased geographical spread of suitable habitats for crop pests (and as follows, crop diseases) that thrive in warmer environments. By the 2030s, crop pests and diseases will increasingly spread across Zambia, with a higher likelihood of occurrence projected under RCPs 2.6, 4.5, and 8.5. Crop pests and diseases that thrive in cooler environments will experience decreasing habitat suitability in the 2030s, but will transition to a slower decrease in the 2050s under RCPs 2.6 and 4.5. Overall crop pest and disease habitat suitability will continue to rise slowly in the 2050s; RCP 8.5 shows an increased habitat suitability for crop pests and diseases that thrive in warm environments, with a decreased likelihood of occurrence for crop pests and diseases that thrive in cooler environments. The results highlight the need for future-facing, long-term climate adaptation and mitigation measures that create less suitable microclimates for crop pests and diseases.

COVID-19 impacts on the Bangladesh shrimp industry: A sequential survey-based case study from southwestern Bangladesh.

Shrimp farming is fundamental to the national economy of Bangladesh, particularly through earning foreign currency. The nationwide lockdown and international cargo restriction jeopardized the sector and breaking its marketing chain. Assessing the degree of farming socio-economic peril from COVID-19 and suggesting early coping strategies and long-term mitigation measures are pressing to build resilience for this food production sector. To collect survey data, two key-informant face-to-face surveys with 51 shrimp farmers and 62 consumers in southwest Bangladesh were accomplished. As national lockdowns restricted access to export markets and movements within the country, farm incomes decreased against rising production costs. To compensate, farmers reduced their workforce (29.4%), but even with the sale of co-cultured finfish still suffered from large drops in revenue (42.8% average profit reduction). Furthermore, we present evidence that shrimp farmers should consider diversification of aquaculture product type as co-culture of additional shrimp species was a poor mitigation strategy against large market price fluctuations. Product price reductions were passed on to the consumer, who enjoyed falling product prices including more expensive shrimp products, but the markup for nearly all aquaculture products increased. The current jeopardy and consequences of shrimp farming future are discussed, including coping strategies to help policymakers in building resilience against future uncertainties.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12562-022-01630-0.

Optimal Selection of Short- and Long-Term Mitigation Strategies for Buildings within Communities under Flooding Hazard

Every year, floods cause substantial economic losses worldwide with devastating impacts on buildings and physical infrastructures throughout communities. Techniques are available to mitigate flood damage and subsequent losses, but the ability to weigh such strategies with respect to their benefits from a community resilience perspective is limited in the literature. Investing in flood mitigation is critical for communities to protect the physical and socioeconomic systems that depend on them. While there are multiple mitigation options to implement at the building level, this paper focuses on determining the optimal flood mitigation strategy for buildings to minimize flood losses within a community. In this research, a mixed integer linear programming model is proposed for studying the effects and trade-offs associated with pre-event short-term and long-term mitigation strategies to minimize the expected economic losses associated with floods. The capabilities of the proposed model are illustrated for Lumberton, North Carolina (NC), a small, socially diverse inland community on the Lumber River. The mathematically optimal building-level flood mitigation plan is provided based on the available budget, which can significantly minimize the total expected direct economic loss of the community. The results reveal important correlations among investment quantity, building-level short- and long-term mitigation measures, flood depths of various locations, and buildings’ structure. Additionally, this study shows the trade-offs between short- and long-term mitigation measures based on available budget by providing decision support to building owners regarding mitigation measures for their buildings.

Occupational differences in SARS-CoV-2 infection: analysis of the UK ONS COVID-19 infection survey

BackgroundConcern remains about how occupational SARS-CoV-2 risk has evolved during the COVID-19 pandemic. We aimed to ascertain occupations with the greatest risk of SARS-CoV-2 infection and explore how relative differences...

Projected changes in population exposure to drought in China under CMIP6 forcing scenarios

Droughts are among the most common and widespread natural disasters, severely affecting several aspects of human society. It is of vital importance to assess the drought impacts under climate change. Herein, we investigated the evolution and characteristics of drought for both historical (1980–2019) and future (2020–2100) periods in China under three representative pathways (SSP1_26, SSP2_45, and SSP5_85) using the Standardized Precipitation Evapotranspiration Index and multiple Global Climate Models from the Coupled Model Intercomparison Project Phase 6. Further, we evaluated the changes in population exposure to drought for the near (2020–2059) and distant (2060–2100) future by combining the drought frequency with the projected population from the Shared Socioeconomic Pathways (SSPs). The results showed that drought areas and intensities would generally decrease slightly in the near future but would increase substantially in the distant future. Moderate droughts would occur more frequently under all scenarios in the near future, whereas severe and extreme droughts would be more frequent in the distant future. In the near future, population exposure to moderate, severe, and extreme droughts would increase by 15.3%, 31.8%, and 68.0%, respectively, under SSP1_26, whereas it would decrease by 31.9%, 50.2%, and 62.3%, respectively, under SSP5_85. At the end of this century, a widespread increase in exposure to severe and extreme droughts is likely under SSP2_45 and an increase in exposure to all types of droughts is likely under SSP5_85; the greatest increase in exposure (83.8%) is found in the case of extreme drought under SSP5_85. In summary, population exposures varied among different study periods and climate scenarios in China. Therefore, this study calls for both short- and long-term drought mitigation and adaptation measures for potential climate change in China.

Climate change adaptation and mitigation measures in Ethiopia: Review

Climate change refers to future fluctuations of temperature, precipitation, wind and alternative components of Earth’s climate system. Global climate change within the style of higher temperature, reduced downfall, and inflated downfall variability reduces crop yield and threatens food security in low financial gain and agriculture primarily based economies. Ethiopia is one of the most vulnerable countries experiencing drought and floods as a result of climate variability and change. The general objective of this review is to administer and summary on adaptation and mitigation measures initiative in Ethiopia in response to climate change. In Ethiopia the foremost vulnerable sectors to global climate change and variability are agriculture, road, water energy and health. Thus Mitigation and adaptation measures pursued to effectively address climate change. In Ethiopian farming communities have important indigenous knowledge, skills and technologies that are essential for tackling hazardous environmental conditions including climate variability and change. They employ a number of short- and long-term climate change mitigation and adaptation measures to cope with and overcome the impacts of climate variability and change. On the opposite hand, Ethiopia has shown both conservation and policy responses to combat climate change. Protected area systems, a forestation and reforestation programmes, renewable energy sources and energy efficiency, ecological agriculture, flexible livestock production, agro forestry systems, harvesting and climate change education, are all feasible strategies for mitigating and adapting climate change.

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems.

Worldwide, cities with mountainous areas struggle with an increasing landslide risk as a consequence of global warming and population growth, especially in low-income informal settlements. Landslide Early Warning Systems (LEWS) are an effective measure to quickly reduce these risks until long-term risk mitigation measures can be realized. To date however, LEWS have only rarely been implemented in informal settlements due to their high costs and complex operation. Based on modern Internet of Things (IoT) technologies such as micro-electro-mechanical systems (MEMS) sensors and the LoRa (Long Range) communication protocol, the Inform@Risk research project is developing a cost-effective geosensor network specifically designed for use in a LEWS for informal settlements. It is currently being implemented in an informal settlement in the outskirts of Medellin, Colombia for the first time. The system, whose hardware and firmware is open source and can be replicated freely, consists of versatile LoRa sensor nodes which have a set of MEMS sensors (e.g., tilt sensor) on board and can be connected to various different sensors including a newly developed low cost subsurface sensor probe for the detection of ground movements and groundwater level measurements. Complemented with further innovative measurement systems such as the Continuous Shear Monitor (CSM) and a flexible data management and analysis system, the newly developed LEWS offers a good benefit-cost ratio and in the future can hopefully find application in other parts of the world.

Editorial

Indication of a climatic change is ubiquitous. Cities and communities in both South Africa and Africa are increasingly susceptible to the negative aspects of climate change, which are expected to increase in frequency and intensity, with extreme events such as floods, drought, water stress, rise in sea level, heatwaves and storms, which are highest on the list of exposure to economic and social risks in cities (World Bank, 2019). Concurrently, socio-economic and demographic developments can make cities and communities more vulnerable. These will have profound impacts on a wide range of city and community functions, infrastructure and services such as energy, transport, water, sanitation, and health, and will affect the quality of life. The National Climate Change Response (NCCR) outlines challenges in relation to inertia and risks created by existing investment in infrastructure and mechanisms of service delivery that may not be well adapted to a changing climate. In light of the aforementioned, there is an urgent need for cities and communities to invest in long-term mitigation and preventive measures, in order to improve their resilience.

What Factors Predispose Households in Trans-Himalaya (Central Nepal) to Livestock Predation by Snow Leopards?

Simple SummaryConflict between snow leopards and humans across the trans-Himalaya is a pressing conservation concern. Conflict severely impacts the socio-economy of the local pastoralist community and threatens snow leopard survival. We investigated the socio-economic factors influencing such conflict and pastoralist attitudes towards snow leopard conservation using semi-structured interviews for a better understanding of what factors influence the variability in losses among the households in the Narphu valley, Nepal. While snow leopards caused significant losses to impoverished pastoralist households, respondents were generally accepting of their presence due to religious reasons and strict law enforcement. We observed poor herding and guarding practices with households owning larger numbers of total livestock (especially large bodied animals like yak (Bos mutus f. grunniens) and cattle (B. primigenius f. taurus)), which resulted in the higher loss. Further, compensation and insurance schemes were dysfunctional, with few households insuring their livestock and receiving compensation for depredated livestock over the past two years. We recommend improving herding practices and the implementation of compensation and insurance schemes to lower the economic loss faced by herders due to predation and creating positive avenues for the co-existence of snow leopards and humans.Livestock depredation across the trans-Himalaya causes significant economic losses to pastoralist communities. Quantification of livestock predation and the assessment of variables associated with depredation are crucial for designing effective long-term mitigation measures. We investigated the patterns and factors of livestock depredation by snow leopards (Panthera uncia) using semi-structured questionnaires targeting herders in the Narphu valley of the Annapurna Conservation Area, Nepal. During the two years (2017/18 and 2018/19), 73.9% of the households interviewed (n = 65) lost livestock to snow leopards, with an annual average loss of two livestock per household. Of the total depredation attributed to snow leopards, 55.4% were yak (mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8% cattle. Results from applying Generalized Linear Mixed Models (GLMMs) revealed the total number of livestock owned and the number of larger bodied livestock species as the main explanatory covariates explaining livestock depredation. Forty-one (41%) of all herders considered snow leopard’s preference for domestic livestock as the main factor in livestock predation, whereas only 5% perceived poor herding practice as the main reason for the loss. Our study found poor and changing herding practices in the valley, whereby 71% herders reported careful herding as a solution to snow leopard depredation, and 15% of herders considered the complete extermination of snow leopards as the best solution to the problem. Tolerance levels and awareness among herders towards snow leopard conservation is increasing, mainly due to the Buddhist religion and strict law enforcement within this protected area. We recommend the effective implementation of a community-based livestock insurance scheme to compensate the economic loss of herders due to predation and improved herding practices as the recommended mitigation measures for ensuring livestock security and snow leopards’ conservation in the valley.

Nudging Climate Change Mitigation: A Laboratory Experiment with Inter-Generational Public Goods

To avoid the dangerous consequences of climate change, humans need to overcome two intertwined conflicts. First, they must deal with an intra-generational conflict that emerges from the allocation of costs of climate change mitigation among different actors of the current generation. Second, they face an inter-generational conflict that stems from the higher costs for long-term mitigation measures, particularly helping future generations, compared to the short-term actions aimed at adapting to the immediate effects of climate change, benefiting mostly the current generation. We devise a novel game to study this multi-level conflict and investigate individuals’ behavior in a lab experiment. We find that, although individuals reach sufficient cooperation levels to avoid adverse consequences for their own generation, they contribute more to cheaper short-term than to costlier long-term measures, to the detriment of future generations. Simple “nudge” interventions, however, may alter this pattern considerably. We find that changing the default contribution level to the inter-generational welfare optimum increases long-term contributions. Moreover, providing individuals with the possibility to commit themselves to inter-generational solidarity leads to an even stronger increase in long-term contributions. Nevertheless, the results also suggest that nudges alone may not be enough to induce inter-generationally optimal contributions.

SUSTAINABILITY TENSIONS: IDIOSYNCRASIES PRESENT IN THE BRUMADINHO DAM TRAGEDY IN THE PERCEPTION OF DIFFERENT STAKEHOLDERS

Based on the theoretical framework of sustainability tensions, this study aims to analyse how the different stakeholders understand the tragedy that occurred with the Brumadinho Dam in Brazil and its emerging tensions. This tragedy is considered the largest work tragedy to occur in Brazil and one of the largest in the global context. The study was developed from interviews and media documents, that is, secondary data. The results show that the tensions that emerged can be codified into environmental, social, economic, cultural, and institutional groupings. The tragedy may be examined from multiple perspectives, one of which is from the position of the actor involved in the enterprise of the collapsed tailings dam structure. Each actor defends his principles, values, and rights. It is a fact that the lives of the people affected and those who died are not recoverable. Environmental damage can be minimized through long-term mitigation measures, but social, demographic, historical, and cultural damage is irrecoverable. Thus, the study offers the following contributions: (i) the tragedy has different interpretations by the different stakeholders; (ii) paradoxical tensions impact differently on the lives of those affected; (iii) trade-offs from tragedy need to be managed; (iv) Brazil urgently needs to learn relevant lessons arising from the tragedies experienced and described in our article. Therefore, an immense and complex challenge that is on the agenda at that moment in Brazil is ripe for analysis.

Field investigation and numerical study of a siltstone slope instability induced by excavation and rainfall

Weak rock slope instabilities are a common engineering problem during highway construction in South China. This study focused on a siltstone slope instability, which was induced during the construction of an expressway in Guangdong Province of China. Field monitoring and numerical simulation analyses were performed to examine the failure mechanism and formation processes of this landslide which is associated with construction activities and a period of prolonged rainfall. According to the characteristics of the slope deformation and the monitoring data, the slope deformation can be divided into two stages: a period of slow creep caused by excavation and an accelerated sliding period triggered by rainfall. Numerical simulation results show that during the excavation process, large horizontal displacement occurs at the front edge of the slope, and the initial plastic zone develops, resulting in a shallow landslide. During 20 days of continuous rainfall, the water content in the shallow layer of the slope increases continuously, and a transient saturated area forms at the surface of the slope. Within 7 days after the rain stops, the zero pore pressure surface of the slope gradually moves towards the interior of the slope, and the plastic zone begins to extend to the top of the slope. In addition, rainwater seeps down along the cracks to form a penetrating zone, thus accelerating the process of rock and soil mass softening, which further reduces the factor of safety of the slope. The combined effects of the excavation and rainfall ultimately lead to the failure of the siltstone slope; however, continuous rainfall is the key factor triggering deep sliding. The deformation and failure of the slope mainly undergo four stages: local collapse of the slope surface, formation of the plastic zone at the foot of the slope, bulging at the toe, and formation of tension cracks in the crown of the landslide. The failure mode of the siltstone slope belongs to be a retrogressive-type of the front edge bulging and trailing edge tension cracking. Based on the deformation characteristics and the failure mechanism of the landslide, comprehensive control measures including interim emergency mitigation measures and long-term mitigation measures are proposed.

Human and Animals Conflicts: A case study of wildlife roadkill in Malaysia

Conflicts between humans and animals have been a challenge due to rapid urbanization. Most of the forest is cleared to build roads and highway. Thus, animals need to migrate or move for their survival. This paper aims to review wildlife roadkill data from PERHILITAN and arranged it under several groups of species. Here, quantitative analysis of the roadkill data is used to select one species as the primary subject (Malayan Tapir). It has been observed that Malayan Tapir has involved in 68 vehicle collisions with a total loss of RM6.8 million in 5 years. From these results, long-term mitigation measures have been addressed in this study.Keywords: human; road construction; wildlife roadkill; mitigationeISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v5i13.2093

Nudging Climate Change Mitigation: A Laboratory Experiment with Inter-Generational Public Goods

To avoid the dangerous consequences of climate change, humans need to overcome two intertwined conflicts. First, they have to deal with an intra-generational conflict that emerges from the allocation of costs of climate change mitigation among different actors of the current generation. Second, they face an inter-generational conflict that stems from the higher costs for long-term mitigation measures, particularly helping future generations, compared to the short-term actions aimed at adapting to the immediate effects of climate change, benefiting mostly the current generation. We devise a novel game to study this multi-level conflict and investigate individuals’ behavior in a lab experiment. We find that, although individuals reach sufficient cooperation levels to avoid adverse consequences for their own generation, they contribute more to cheaper short-term than to costlier long-term measures, to the detriment of future generations. Simple “nudge” interventions, however, may alter this pattern considerably. We find that changing the default contribution level to the inter-generational welfare optimum increases long-term contributions. Moreover, providing individuals with the possibility to commit themselves to inter-generational solidarity leads to an even stronger increase in long-term contributions. Nevertheless, the results also suggest that nudges alone may not be enough to induce intergenerationally optimal contributions.

The wildfire problem in areas contaminated by the Chernobyl disaster

This paper examines the issue of radionuclide resuspension from wildland fires in areas contaminated by the Chernobyl Nuclear Power Plant explosion in 1986. This work originated from a scientific exchange among scientists from the USDA Forest Service, Ukraine and Belarus that was organized to assess science and technology gaps related to wildfire risk management. A wildfire risk modeling system was developed to predict likely hotspots for large fires and where wildfire ignitions will most likely result in significant radionuclide (Cesium, 137Cs) resuspension. The system was also designed to examine the effect of fuel breaks in terms of reducing both burn probability and resuspension. Results showed substantial spatial variation in fire likelihood, size, intensity, and potential resuspension within the contaminated areas. The potential for a large wildfire and resuspension was highest in the Belorussian Polesie Reserve, but the likelihood of such an event was higher in the Ukrainian Chernobyl Exclusion Zone due to a higher predicted probability of ignition. Fuel breaks were most effective in terms of reducing potential resuspension when located near areas that had both high ignition probability and high levels of 137Cs contamination. Simulation outputs highlighted how human activities shape the fire regime and likelihood of a large fire in the contaminated areas. We discuss how the results can be used to develop a fire management strategy that integrates ignition prevention, detection, effective suppression response, and fuel breaks. Specifically, the modeling system can now be used to explore a wide range of fire management scenarios for the contaminated areas and contribute to a comprehensive fire management strategy that targets specific drivers of fire by leveraging multiple tools including fire prevention and long-term fuel management. Wildfire-caused emissions of radionuclides in Belarus, Ukraine, and Russia are a socio-ecological problem that will require defragmenting existing risk management systems and leveraging multiple short- and long-term mitigation measures.

Climate variability and mitigation: perceptions and strategies adopted by traditional coffee growers in India

The study explores coffee growers’ perceptions of climate variability and their coping and adaptive strategies to a changing environment. The results are based on a survey conducted with 56 spatially distributed coffee growers from across the traditionally coffee-growing Kodagu district of Karnataka located in the Western Ghats of India. In general, the growers perceived an increase in temperature, delay in onset of monsoon and an erratic pattern in the distribution of rainfall. These qualitative perceptions were substantiated with the long-term weather data of the district. Growers’ adaptive strategies for climate variability are composed of mainly agronomic management interventions and crop diversification. Besides, off-farm income diversification is adopted by a few coffee growers. The estimates of an ordered probit model indicated that coffee growers’ age, size of land holding, decrease in yield, delay in monsoon, increase in temperature and unpredictability of seasons exert a positive influence on climate-risk ranking, whereas acreage under coffee and crop diversification inversely influenced the ranking of climate risk. The understanding of these perceptions helps shape synergistic strategies for adaptation and undertake long-term mitigation measures to reduce the vulnerability of the coffee sector, especially, the livelihood security of small coffee growers in India.

Household Adjustments to Hurricane Katrina

This paper examines household adjustments to Hurricane Katrina by estimating the effects of Katrina-induced damages on changes in household demographics and income distributions in the Orleans Parish between 2000 and 2012. Adjustment patterns are found to be heterogeneous across ethno-racial segments, income classes, and educational attainment. Shares of middle-income and affluent households along with educated individuals decreased in severely damaged areas relative to less damaged ones. Also the share of individuals with lower educational levels and incomes below the poverty line increased in severely damaged block groups. Furthermore, the share of the white population decreased and the share of the black population increased in damaged areas for both home owners and renters. Overall adjustment patterns suggest that resource and financially constrained population adjust by moving into previously damaged areas, while economically capable households adjust by relocating to safer areas within or outside of the parish. Given estimated increases in vulnerable segments of the population in hazardous hotspots, public efforts should focus on either revitalizing poorer neighborhoods, by investing in long-term hazard mitigation measures and improving infrastructure, with segregated housing or assisting gradual population retreat to enhance community resilience and reduce vulnerability and exposure to future catastrophic events.