Implementation Of Mitigation Measures Research Articles

Spatiotemporal persistence of bat roadkill hotspots in response to dynamics of habitat suitability and activity patterns

Wildlife roadkill hotspots are frequently used to identify priority locations for implementing mitigation measures. However, understanding the landscape-context and the spatial and temporal dynamics of these hotspots is challenging. Here, we investigate the factors that drive the spatiotemporal variation of bat mortality hotspots on roads along three years. We hypothesize that hotspot locations occur where bat activity is higher and that this activity is related to vegetation density and productivity, probably because this is associated with food availability. Statistically significant clusters of bat-vehicle collisions for each year were identified using the Kernel Density Estimation (KDE) approach. Additionally, we used a spatiotemporal analysis and generalized linear mixed models to evaluate the effect of local spatiotemporal variation of environmental indices and bat activity to predict the variation on roadkill hotspot locations and to asses hotspot strength over time. Between 2009 and 2011 we conducted daily surveys of bat casualties along a 51-km-long transect that incorporates different types of roads in southern Portugal. We found 509 casualties and we identified 86 statistically significant roadkill hotspots, which comprised 12% of the road network length and contained 61% of the casualties. Hotspots tended to be located in areas with higher accumulation of vegetation productivity along the three-year period, high bat activity and low temperature. Furthermore, we found that only 17% of the road network length was consistently classified as hotspots across all years; while 43% of hotspots vanished in consecutive years and 40% of new road segments were classified as hotspots. Thus, non-persistent hotspots were the most frequent category. Spatiotemporal changes in hotspot location are associated with decreasing vegetation production and increasing water stress on road surroundings. This supports our hypothesis that a decline on overall vegetation productivity and increase of roadside water deficit, and the presumed lower abundance of prey, have a significant effect on the decrease of bat roadkills. To our knowledge, this is the first study demonstrating that freely available remote sensing data can be a powerful tool to quantify bat roadkill risk and assess its spatiotemporal dynamics.

Road mortality threatens endemic species in a national park in Sulawesi, Indonesia

The emerging economy of Indonesia has triggered rapid infrastructure development that threatens ecological communities, including within protected areas. The national parks of Indonesia are renowned for their high levels of biodiversity and endemism, yet the impacts of road development within these parks remains understudied. We conducted road mortality surveys along a 21.8-km section of paved highway that bisects Rawa Aopa Watumohai National Park in Sulawesi, Indonesia from January to April 2018. We documented wildlife carcasses during morning and afternoon surveys and identified hotspots of road mortality for amphibians, reptiles, birds, and mammals. A total of 790 carcasses were observed during 16 surveys, amounting to 2.3 carcasses km−1, one of the highest levels reported for Asia. Wildlife recorded during our surveys represented 40 taxa, of which 15% are endemic to the Wallacea region. We documented two hotspots of road mortality for each major taxonomic group. We propose that mitigation measures be implemented at the largest hotspot for amphibians, one overlapping hotspot for amphibians and reptiles, and one overlapping hotspot for birds and mammals, for a total of three areas targeted for mitigation along this 21.8-km section of highway. We recommend the implementation of mitigation measures including highway undercrossings with fencing, reduced speeds with associated signage, and highway lighting at these three hotspot locations to protect the diverse and unique fauna in this national park.

Damage assessment of the May 31st, 2019, Talcahuano tornado, Chile

On May 31st, 2019, a tornado hit the city of Talcahuano, Chile, generating significant damage to structures and leaving one person dead. The objective of the present paper is to report on damage to structures in Talcahuano. A preliminary survey was performed by the Municipality of Talcahuano and covered the entire affected area with a cellphone web application used to report the severity and distribution of damage. A more comprehensive damage survey was conducted in the Brisa del Sol neighborhood in the Medio Camino area by the UCSC team to assess the damage distribution within an area with well-defined and homogeneous building typologies. The results of the field surveys showed that the tornado behaved as a skipping tornado and that most damage to houses consisted of wall opening damage, roof sheathing failure, and wall cover removal (EF0), followed by partial roof removal (EF1). It was noticeable that self-built systems (house additions) were more damaged than original houses, which may be explained by the fact that such structures do not always meet minimum building standards. It is recommended that field surveys conducted by municipalities and the Ministry of Social Development consider typical damage types rather than just categories such as minor, moderate, or major. Finally, it is recommended that the feasibility of implementing mitigation measures such as stricter wind load provisions and dual-objective tornado design philosophy in the Concepción-Talcahuano area be analyzed.

The Public's Awareness and Willingness to Undergo Plastic Surgery Procedures during the COVID-19 Pandemic.

Background:In March 2020, the Saudi Ministry of Health implemented mitigation measures to control the Coronavirus Disease 2019 (COVID-19) pandemic, including media campaigns, a nationwide lockdown, and closures of plastic surgery clinics. The aim of this study was to explore the public’s knowledge of COVID-19, their willingness to undergo cosmetic surgery during the pandemic, and the factors influencing their decisions.Methods:An internet-based cross-sectional survey was conducted. We collected data on demographic information, knowledge about COVID-19, and willingness to undergo cosmetic procedures. Participants also completed the cosmetic procedure screening questionnaire to assess body dysmorphic disorder.Results:The sample included a total of 1643 participants (women, n = 1002; 61%). A total of 613 (37.3%) participants were aged between 30 and 40 years. The majority (n = 1472; 89.6%) referred to official government accounts for information regarding COVID-19. Most participants (n = 1451; 88.3%) felt that the pandemic was serious, and 1387 (85%) said they would not leave home to undergo cosmetic procedures during the outbreak. Being women, the presence of body-image concerns, and higher cosmetic procedure screening questionnaire scores were associated with an increased willingness to undergo cosmetic procedures.Conclusions:This is the first study to explore the public’s willingness to undergo cosmetic procedures during the COVID-19 pandemic. The public was well educated about the pandemic, via government actions. This was reflected in participants who wished to undergo a cosmetic plastic procedure; we identified factors associated with an increased willingness to undergo procedures, which may help design awareness initiatives.

Assessment of particulate matter levels and sources in a street canyon at Loures, Portugal – A case study of the REMEDIO project

Air quality in urban environments is directly related to structural aspects of streets and traffic variables, justifying the need for local assessments. This information is crucial as input to obtain accurate and reliable statistical modelling of the implementation of different mitigation scenarios aiming to improve the local air quality management. The present study intended to assess temporal trends of particulate matter levels in a street canyon of the urban area of Moscavide (Loures, Portugal) for one-month in autumn of 2016. Moreover, fine and coarse particles were characterised for their carbonaceous and elemental contents in order to identify the main pollution sources affecting the study area.Particle concentration peaks were observed during daytime and were associated with traffic intensity due to commuting. During the studied period, no exceedances of the limit values set by the European legislation were registered. The natural sources sea salt and mineral dust contributed, on average, to 6 and 8% of PM10 levels. The Fe/Cu ratios indicated the contribution of wear emissions from road traffic. Enrichment of anthropogenic elements in PM was found and several traffic markers were identified from specific correlations between elements (good: Cu–Mn, Cu–Pb; moderate: Cu–Zn, Mn–Zn, Pb–Zn), highlighting the contribution of local traffic to PM levels.This information is valuable to understand possible health effects of particulate matter levels on citizens due to their exposure and to establish a reference scenario with which the future implementation of mitigation measures targeting local traffic can be compared to assess improvements in air quality in the studied street canyon.

Nutrient mitigation under the impact of climate and land-use changes: A hydro-economic approach to participatory catchment management

Excessive nutrient loadings into rivers are a well-known ecological problem. Implemented mitigation measures should ideally be cost-effective, but perfectly ranking alternative nutrient mitigation measures according to cost-effectiveness is a difficult methodological challenge. Furthermore, a particularly practical challenge is that cost-effective measures are not necessarily favoured by local stakeholders, and this may impede their successful implementation in practice. The objective of this study was to evaluate the cost-effectiveness of mitigation measures using a methodology that includes a participatory process and social learning to ensure their successful implementation. By combining cost data, hydrological modelling and a bottom-up approach for three different European catchment areas (the Latvian Berze, the Swedish Helge and the German Selke rivers), the cost-effectiveness of 16 nutrient mitigation measures were analysed under current conditions as well as under selected scenarios for future climate and land-use changes. Fertiliser reduction, wetlands, contour ploughing and municipal wastewater treatment plants are the measures that remove nutrients with the highest cost-effectiveness in the respective case study context. However, the results suggest that the cost-effectiveness of measures not only depends on their design, specific location and the conditions of the surrounding area, but is also affected by the future changes the area may be exposed to. Climate and land-use changes do not only affect the cost-effectiveness of measures, but also shape the overall nutrient loads and potential target levels in a catchment.

Analysis of large-scale monitoring data to identify spatial and temporal trend of risk for terbuthylazine and desethyl-terbuthylazine in surface water bodies of Po plain (Italy)

In Italy, the National Environmental Protection Agency (ISPRA) publishes annual reports containing the results of monitoring programs for pesticides in surface and groundwater. These programs were established to accomplish the EU Directives addressing the quality of water resources (drinking water, groundwater and surface water) such as the Water Framework Directive or the Directive on the Sustainable Use of Pesticides. These data can be extremely helpful for risk management actions as they can provide indications where to implement mitigation measures at the territorial scale. In this study, we extrapolated the monitoring data (period 2008–2017) of terbuthylazine and its metabolite desethyl-terbuthylazine in the surface water bodies of the Po plain (Northern Italy).Then, these data were utilized to apply a methodology based on a previous work proposed and published by our research team, which combine, in two distinct phases, historical series of monitoring data and GIS.Overall, the results allowed to identify three areas where to focus risk mitigation measures, which correspond to the low part of the Lombardy (Lodi, Cremona and Mantua area), the area between the Padua and Venice provinces in Veneto and the area of Ferrara in Emilia Romagna.

Atropellos de mamíferos en la Región Este de Uruguay y su relación con atributos del paisaje

Roads constitute a threat to biodiversity, causing negative impacts such as fragmentation of habitats and run overs. In 2015, the NGO ECOBIO Uruguay began working on the subject in order to implement mitigation measures. The objective of this work was to describe and analyze the run overs of medium and large mammals for the Eastern Region of Uruguay and their relationship with the landscape's attributes. Taking off the dynamic of run overs, this is frequently influenced by anthropic cases, traffic is the most prominent variable over this.  Machine learning algorithms (Random Forest) and QGIS and R programs were used to model the run overs of the region, that is characterized by having heterogeneous ecosystems, important biodiversity and several protected areas. 976 cases of run overs were analyzed, from 17 species that were distributed heterogeneously. The models analyzed by species had a predictive ability of 80% success, while when working with all species as a whole 60%. The route with the highest probability run overs was 'Route 9'. Although the most important variables were similar in all the models, the three that better illustrated the prediction models were: annual average daily traffic, the distance to backroads and distance to populated roads, this three illustrates better the predictions models. This work is one of the first studies at a national level which formally quantifies the phenomenon and suggests analyzing the species separately to evaluate possible differential responses that make it impossible to find general patterns.

Towards mitigation of seabird bycatch: Large-scale effectiveness of night setting and Tori lines across multiple pelagic longline fleets

Bycatch in pelagic longline fleets remains a considerable source of mortality for threatened seabirds. Despite efforts to implement mitigation measures, the effectiveness of their application across multiple fleets and wide spatio-temporal scales remains poorly understood. We analyse about 15,800 sets and 36.4 million hooks observed during 583 trips aboard 132 vessels from five pelagic longline fleets (Brazil, Portugal, South Africa, Uruguay and foreign charter-vessels) operating in the south Atlantic and southwestern Indian Oceans (2002–2016) to assess the large-scale effect on bycatch rates of the implementation over time of night-setting and Tori (bird-scaring or streamer) lines. There was a highly significant decrease in standardised bycatch rate from 2002 to 2008 to 2009–2011 and a further reduction in 2012–2016, as consequence of an increased use of mitigation measures. This reduction on fleet-wide bycatch rates temporally coincides with the progressive implementation of mitigation measures in the two relevant Regional Fishery Management Organisations. Night-setting significantly reduced bycatch rates under all conditions, particularly for albatrosses. Surprisingly, bycatch rate during daylight was higher when Tori lines were deployed. Inconsistencies in Tori line deployments, entanglements with the fishing gear and the non-use of this measure with low seabird abundance may explain this pattern. At night, relative moon illumination increased bycatch rate, especially of petrels, but Tori lines significantly reduced seabird bycatch. Our results imply that a major reduction in global bycatch of threatened seabirds could be achieved, if night setting and Tori lines are correctly applied and extensively implemented by fleets operating south of 25°S.

When Strong Mitigation against a Pandemic Backfires

I introduce social feasibility constraints in the standard SIR epidemiological model: at any point in time, the feasibility of implementing mitigation measures by a social planner is limited, but it increases when the infection rate is higher. When considering threshold policies with constant levels of mitigation for a time period, the overall fatality rate in the population is non-monotonic in the levels of mitigation: higher levels of mitigation can increase the overall fatality rate. Intuitively, even though strong mitigation at a point in time is unequivocally beneficial in the short-term by lowering the infection rate, this can undermine the social feasibility of future mitigation.

Predicted Effects of Stopping COVID-19 Lockdown on Italian Hospital Demand.

Italy has been one of the first countries to implement mitigation measures to curb the coronavirus disease 2019 (COVID-19) pandemic. There is currently a debate on when and how such measures should be loosened. To forecast the demand for hospital intensive care unit (ICU) and non-ICU beds for COVID-19 patients from May to September, we developed 2 models, assuming a gradual easing of restrictions or an intermittent lockdown. We used a compartmental model to evaluate 2 scenarios: (A) an intermittent lockdown; (B) a gradual relaxation of the lockdown. Predicted ICU and non-ICU demand was compared with the peak in hospital bed use observed in April 2020. Under scenario A, while ICU demand will remain below the peak, the number of non-ICU will substantially rise and will exceed it (133%; 95% confidence interval [CI]: 94-171). Under scenario B, a rise in ICU and non-ICU demand will start in July and will progressively increase over the summer 2020, reaching 95% (95% CI: 71-121) and 237% (95% CI: 191-282) of the April peak. Italian hospital demand is likely to remain high in the next months. If restrictions are reduced, planning for the next several months should consider an increase in health-care resources to maintain surge capacity across the country.

Case study and event analysis for mitigation of unpredictable volcanic hazard

Volcanology is an extremely important scientific discipline. Shedding light on how and why volcanoes erupt, how eruptions can be predicted and their impact on humans and the environment is crucial to public safety, economies and businesses. Understanding volcanoes means eruptions can be anticipated and at-risk communities can be forewarned, enabling them to implement mitigation measures. Professor Tsukasa Ohba is a scientist based at the Graduate School of International Resource Studies, Akita University, Japan, and specialises in volcanology and petrology. Ohba and his team are focusing on volcanic phenomena including: phreatic eruptions (a steam-driven eruption driven by the heat from magma interacting with water); lahar (volcanic mudflow); and monogenetic basalt eruptions (which consist of a group of small monogenetic volcanoes, each of which erupts only once). The researchers are working to understand the mechanisms of these phenomena using Petrology. Petrology is one of the traditional methods in volcanology but has not been applied to disastrous eruptions before. The teams research will contribute to volcanic hazard mitigation.

An overview of nutrient transport mitigation measures for improvement of water quality in Denmark

Nutrient losses from agricultural areas constitute a major cause for the degradation of aquatic ecosystems worldwide. In this paper, we use the intensively cultivated country of Denmark as an example to synthesise and discuss results, experiences and challenges for an optimised implementation of nutrient transport mitigation measures targeting agricultural nutrient losses to fresh and marine water. A new era in the regulation of agricultural nutrient losses to aquatic ecosystems in Denmark was initiated when the Agricultural Package was adopted in 2016 by the Danish Parliament. Danish farmers were again allowed to fertilise their crops to economic optimum and to compensate for the consequent increase in fertilisation rates and the potential negative consequences on water quality, a new nitrogen (N) and phosphorus (P) management plan was introduced. The new plan consists of measures to mitigate N losses in smaller catchments (< 15 km2) and knowledge of the N attenuation capacity of the individual catchments is used for optimisation of the implementation of mitigation measures. A suite of nutrient transport mitigation measures has been scientifically approved for use in this new regulation, and more measures are currently undergoing scientific testing. This study focuses on already approved nutrient transport mitigation measures, such as restoration of riparian wetlands, fens and swamps, re-establishment of shallow lakes, constructed wetlands (surface flow and subsurface flow), as well as measures not yet approved and still under development such as integrated buffer zones, saturated buffer zones and controlled drainage.

Scaling the Laws of Thermal Imaging–Based Whale Detection

AbstractMarine mammals are under growing pressure as anthropogenic use of the ocean increases. Ship strikes of large whales and loud underwater sound sources including air guns for marine geophysical prospecting and naval midfrequency sonar are criticized for their possible negative effects on marine mammals. Competent authorities regularly require the implementation of mitigation measures, including vessel speed reductions or shutdown of acoustic sources if marine mammals are sighted in sensitive areas or in predefined exclusion zones around a vessel. To ensure successful mitigation, reliable at-sea detection of animals is crucial. To date, ship-based marine mammal observers are the most commonly implemented detection method; however, thermal (IR) imaging–based automatic detection systems have been used in recent years. This study evaluates thermal imaging–based automatic whale detection technology for its use across different oceans. The performance of this technology is characterized with respect to environmental conditions, and an automatic detection algorithm for whale blows is presented. The technology can detect whales in polar, temperate, and subtropical ocean regimes over distances of up to several kilometers and outperforms marine mammal observers in the number of whales detected. These results show that thermal imaging technology can be used to assist in providing protection for marine mammals against ship strike and acoustic impact across the world’s oceans.

Agricultural Greenhouse Gas Emissions: Knowledge and Positions of German Farmers

Climate mitigation targets must involve the agricultural sector, which contributes 10%–14% of global anthropogenic greenhouse gas (GHG) emissions. To evaluate options for implementing mitigation measures in the agricultural sector, farmers’ knowledge, positions, and attitudes towards agricultural GHG emissions, their accounting, and reduction need to be understood. Using an online survey, we asked 254 German farmers about their motivation to reduce GHG emissions and their acceptance of possible regulation schemes. We examined differences between relevant farming sectors, i.e., conventional versus organic and livestock keeping versus crop-cultivating farms. Results show that German farmers are aware of climatic changes and feel a general commitment to reducing GHG emissions but lack sufficient information. We identified agricultural magazines as the most effective tool for disseminating relevant knowledge. German farmers would feel motivated to adopt climate-friendly farming styles if products were labeled accordingly and if they received subsidies and public acknowledgment for their effort. As long as there is no regulation of agricultural GHGs through taxes or subsidies, personal motivation is yet the strongest motivation for voluntary emission reduction. Our findings are timely for the further development of strategies and instruments that reduce agricultural GHG emission and account for the farmers’ views. The dataset is available for further investigations.

Mitigation potential for carbon and nitrogen emissions in pig production systems: lessons from the North China Plain

China produces approximately half of the world’s pork at a high environmental cost. Implementing mitigation measures requires a better understanding of pig farming systems that are often diverse in practice. Nutrient uses and losses can be largely altered due to these variations but have not, however, been fully evaluated; moreover, attention is rarely paid to pollution swapping. Our study evaluated carbon (C) and nitrogen (N) flows among pig farms on the North China Plain using the mass flow approach. The impacts of advanced mitigation measures on nitrogen use efficiency (NUE) and on C and N emissions were further analyzed via scenario analyses. The results showed that large variations among farms were observed by comparing the best-performing farms (“top 20%”) with the “other” farms; the comparisons showed 31.3 vs. 21.3% for the system NUE, 3.0 vs. 5.7 kg N ·100 kg liveweight gain (LWG)−1 for manure N losses, and 108.1 vs. 146.4 kg CO2-eg·100 kg LWG−1 for greenhouse gas (GHG) emissions, respectively. Lower system NUE was caused by lower NUEs of pigs, followed by high N emissions from manure and excessive manure application. Scenario analyses indicated that the total N loss of systems can be mitigated by 10–13% through dietary manipulation and by 26%, 27%, and 13% by low-emission storage, biogas production with improved storage, and balanced fertilization, respectively. Anaerobic digestion was solely effective for GHG mitigation (46% reduction), but no impacts were observed for all other low-NH3 measures. Combining mitigation measures simultaneously decreased total N and GHG losses by 56% and 54%, respectively, and increased the system NUEs by 89%. The wide variations among farms suggest largely attainable improvements in productivity and nutrient use by closing the management gaps related to these factors. Proper combinations of advanced measures are further needed to achieve more effective mitigation goals for multiple pollutants.

Carcinogenic and non-carcinogenic health risks of arsenic exposure in drinking water in the rural environment

Carcinogenic and systemic health effects of arsenic exposure in drinking water are well documented. This study estimated the risk associated with chronic consumption of water with high concentrations of arsenic in children and adults living in six Andean locations, in Chile. Concentrations of arsenic in the drinking water were analyzed between 2014 and 2017 based on health authority reports and data collected during this study. Average daily arsenic intake was estimated, and systemic (HQ) and deterministic carcinogenic risk (CR) indices were calculated using U.S. Environmental Protection Agency methodology. Threshold values ​​of HQ>1 and CR> 1 x 10–4 were considered to indicate high risk of adverse health effects. Four of the locations (Chucuyo > Putre > Humapalca = Visviri) had high concentrations of arsenic in the water, at levels 6.3–57.6 times the norm of 0.01 mg/L, Zapahuira and Belen, had values just below the threshold. Extremely high HQ values were estimated in children, at 1.3–119.8 times the threshold. Furthermore, CR values were several orders of magnitude (3.06–10790.6) above the tolerable value among all age strata. The locations studied have a high risk of adverse health effects from exposure to arsenic in drinking water. It is urgent to implement mitigation measures to improve water quality in these communities and to carry out probabilistic studies to provide more accurate assessment of exposure.

Flood Impacts in Oshana Region, Namibia: A Case Study of Cuvelai River Basin

Floods are among the global natural disasters that are known to have major negative societal effects. The extent of floods can determine the degree of impact to be made. Floods can cause extensive economic losses, consequently affecting livelihoods, businesses, infrastructures and basic services. This study investigated the impact of floods in communities within the Oshana Region in the northern areas of Namibia. Primary and secondary data were collected in efforts to understand the impact of floods, and the causes of vulnerability to such events. Loss of field crops, destruction of houses, destruction of roads and other infrastructure, and loss of human lives were the major flood impacts that have been identified. The study findings revealed that vulnerability to floods is mainly due to lack of resources, poverty, poor infrastructure, limited budget, inactive disaster risk management structures in the region, rapid population change, non-existing Early Warning System (EWS), lack of awareness of the flood impacts, low income, and the fact that many houses are headed by females. In the absence of coping strategies, communities mainly depend on external relief, particularly for temporary shelter and provision of basic needs. It was concluded that the ability of communities and individuals to cope with flood impacts is related to their culture, history, knowledge system, power dynamics and governance. A further conclusion was that, the vulnerability of communities in the Oshana Region resulted in reduced household resilience to flood disasters.&#x0D; &#x0D; The study recommended a further investigation into other flood prone regions in Namibia. Other notable recommendations included:&#x0D; &#x0D; &amp;bull; the availing of information on climate variability and best coping strategies in flood prone communities,&#x0D; &#x0D; &amp;bull; flood hazards awareness,&#x0D; &#x0D; &amp;bull; developing and implementing mitigation measures for flood disasters,&#x0D; &#x0D; &amp;bull; development of a policy on the construction of houses in efforts to avoid flood risks,&#x0D; &#x0D; &amp;bull; and the development of information communication channels for EWS.

Geo-hydrological hazards induced by Gorkha Earthquake 2015: A Case of Pharak area, Everest Region, Nepal

Nepal experienced disastrous earthquake events in 2015. The first one (magnitude of 7.8) with epicenter in Barpak, Gorkha district, occurred on 25th April 2015, followed by another event (7.3 magnitude) on 12thMay 2015, with epicenter in 19 km south east of Kodari, Sindhupalchok district. Those earthquake events induced different types of geo-hazard and they are widely distributed and caused serious damages and losses. This paper discusses the types of geo-hazards induced by these Gorkha and Sindhupalchok earthquake events and the losses and damages from those events; and the future risk from those geo-hazards in Pharak area covering 305 km2 in Solukhumbu district, Nepal. Satellite images of before and after the events were used to map landslide, debris flow, landslide dam and other geomorphic changes after earthquake. Information on the losses, damages and future risk were collected through focus group discussion, key informants’ interview, observation, and measurement. A total of 79 landslides, 13 rock falls, 5 debris flow and one site of river damming were identified and mapped. The losses and damages included private and public buildings, cultivated land, crops and other infrastructure such as trails, canals for hydropower plant. The losses and damages associated with landslide and debris flow induced by earthquake is comparatively higher than the losses and damages from other geomorphic hazards such as rock fall and landslide dam and landslide dam outburst flood. The risk from those geo-hazards induced by earthquake is also high. Community mobilization with activities of regular monitoring of those hazards, skill development for rescue operation, design and implementation of mitigation measures are some of the efforts necessary for better management of disaster risk.

Uncertainty in Flood Mitigation Practices: Assessing the Economic Benefits of Property Acquisition and Elevation in Flood-Prone Communities

Adopting effective flood mitigation practices for repetitive flood events in the United States continues to play a prominent role in preventing future damage and fostering resilience to residential flooding. Two common mitigation practices for reducing residential flood risk consist of raising an existing structure to or above base flood elevation (BFE) and acquiring chronically damaged properties in flood prone areas and restoring them back to serve their natural functions as green open spaces. However, due to data accuracy limitations, decision makers are faced with the challenge of identifying the financially optimal approach to implementing mitigation measures. We address this problem through the following research questions: What does the optimal allocation of flood mitigation resources look like under data uncertainty, and what are the optimal methods to combining mitigation measures with consideration for the best economic benefits? Using a robust decision making (RDM) approach, the effects of uncertainty in property values, construction and demolition costs, and policy implementation options such as structure selection and budget allocation were measured. Our results indicate that the amount budgeted for mitigation and how those funds are allocated directly influence the selection of the most economically viable mitigation practices. Our research also contributes to the growing need for evaluating specific flood mitigation strategies.