Impact Of Floods Research Articles

Strategi Mitigasi Dampak Kejadian Banjir di Kecamatan Rumbai Pesisir Kota Pekanbaru

Rumbai pesisir is one of the districts that is often affected by flooding in the city of Pekanbaru. This research was carried out to formulate mitigation strategies from ecological, social, and economic perspectives to minimize the impacts of floods in the Rumbai sub-district of Pekanbaru City. The data obtained from questionnaires, interviews, direct field observations, and also literature reviews are analyzed descriptively and plotted into a SWOT diagram. From the ecological perspective, Pekanbaru has a medium to high category of rainfall with a high frequency of flood. Many of the drainage channels in Sri Meranti area are unmaintained and clogged. The social conditions show that the majority of Sri Meranti population have productive age and intermediate education so that they can be more educated in terms of mitigation. The economic conditions show that there is a low-income level of the Sri Meranti population which is below the UMK. Of Pekanbaru. Government contributions in handling floods are needed but the budget is insufficient. The resulting strategy in mitigating the flood impact in Rumbai is the S-O (Strength-Opportunities) strategy which supports an aggressive strategy in taking advantage of all the strengths and opportunities that exist.

RELEVANSI SISTEM BIOPORI DALAM UPAYA PENANGANANAN DAN PENCEGAHAN BANJIR MELALUI ANALISIS BIBLIOMETRIC

Increased studies and research regarding the effectiveness of the biopore system in handling and mitigating floods have been carried out and have shown a positive impact on the effectiveness of the system. This research tries to carry out a bibliometric analysis on the topic of biopores and their relationship to flooding. The research method used in this research is a qualitative method with a bibliographic approach. Data analysis was carried out using Vosviewer on 500 articles related to " biopore". The research results show that overall, research on flood problems and the use of biopore as a treatment solution has important implications in efforts to reduce the impact of flooding and create a more sustainable city. Several studies and research provide an initial picture of the potential effectiveness of biopores in flood management. Although specific data may not yet be available to show that biopores are considered as a potential solution in dealing with flooding problems at the local level.

The impact of floods on plastic pollution

Abstract Non-Technical Summary Plastic harms ecosystem health and human livelihood on land, in rivers, and in the sea. To prevent and reduce plastic pollution, we must know how plastics move through the environment. Extreme events, such as floods, bring large amounts of plastic into rivers around the world. This article summarizes how different flood types (excessive rainfall, high river flow, or floods from the sea) flush or deposit plastic pollution, and how this impacts the environment. Furthermore, this paper also discusses how improved resilience to floods is important to prevent and reduce plastic pollution. Technical Summary Plastic pollution is ubiquitous in the environment and threatens terrestrial, freshwater, and marine ecosystems. Reducing plastic pollution requires a thorough understanding of its sources, sinks, abundance, and impact. The transport and retention dynamics of plastics are however complex, and assumed to be driven by natural factors, anthropogenic factors, and plastic item characteristics. Current literature shows diverging correlations between river discharge, wind speed, rainfall, and plastic transport. However, floods have been consistently demonstrated to impact plastic transport and dispersal. This paper presents a synthesis of the impact of floods on plastic pollution in the environment. For each specific flood type (fluvial, pluvial, coastal, and flash floods), we identified the driving transport mechanisms from the available literature. This paper introduces the plastic-flood nexus concept, which is the negative feedback loop between floods (mobilizing plastics), and plastic pollution (increasing flood risk through blockages). Moreover, the impact of flood-driven plastic transport was assessed, and it was argued that increasing flood resilience also reduces the impact of floods on plastic pollution. This paper provides a perspective on the importance of floods on global plastic pollution. Increasing flood resilience and breaking the plastic-flood nexus are crucial steps toward reducing environmental plastic pollution. Social Media Summary Floods have a large impact on plastic pollution transport, which can be reduced through improved flood resilience

The Impacts of Flood and Local Communities’ Coping Strategies along the River Gambia

The Impacts of Flood and Local Communities’ Coping Strategies along the River Gambia

A Path Towards Assessing and Increasing Health System Resilience in Non-traditional Flood Areas

Abstract Rapid deforestation, urbanization, and biodiversity loss over the last century has changed landscapes and disorientated the climate. This has magnified temperature, wind speed, air quality, and other meteorological variables. For example, the urban heat island effect has resulted in city areas being hotter than nearby rural areas and expanding physical landscapes combined with shifting precipitation patterns has increased flood risks in new locations. The result has been unexpected disruption to healthcare, supply chains, and changes in vector, water, and foodborne disease patterns. To find solutions to this challenge, a transdisciplinary approach is needed to assess and anticipate the impact of floods and other emerging risks on public health systems. The United Nations Public Health System Resilience Scorecard (Scorecard) could provide the process needed for this to occur. This is a reliable, scalable, and versatile tool that has been applied and tested in multiple communities and countries. Attendees to this session will learn about the Scorecard methodology and how it can be applied in different settings, used to build consensus, and employed to inform future resilience actions. Ultimately, providing a framework for maximizing the resilience of public health systems during a time of rapidly shifting environmental, social, and fiscal climates. Learning Objectives Identify the impact floods and other disasters can have on public health systems in non-traditional at-risk areas. Explore the United Nations Public Health System Resilience Scorecard (Scorecard) and its alignment with the 2030 United Nations agenda. Understand why a transdisciplinary approach is needed to assess the impact of floods and other emerging risks on public health systems. Demonstrate how the Scorecard can be applied in multiple communities and countries to identify, rank, and prioritize resilience actions for public health systems.

A Study on the Impact of Flood on Financial Performance of Listed Cotton Companies in India

A Study on the Impact of Flood on Financial Performance of Listed Cotton Companies in India

Impacts of Floods on the Indoor Air Microbial Burden

Impacts of Floods on the Indoor Air Microbial Burden

The influence of urban welfare and flood impact on the real estate market of apartments: the case of Belém city (Brazil)

Resumo Ainda que aferir custos sociais de amenidades seja usual para elaboração de políticas públicas, avaliar a influência do impacto de alagamentos e condições de bem-estar urbano no mercado imobiliário de cidades da Amazônia brasileira é uma investigação ainda não realizada. Assim, por metodologia hedônica, que, além das referidas amenidades, incluiu características físicas de apartamentos, 87 dados foram catalogados no mercado de apartamentos em oferta, no período do inverno amazônico, na área urbana de Belém/PA. Constatou-se que a influência dos impactos dos alagamentos desvalorizou até 10,55% seus preços, Ao passo que as condições de bem-estar urbano indicaram negativa e positiva influência nos preços em até 11,23% e 10,09%, respectivamente. Portanto, esses resultados são importantes para gestores públicos e agentes do setor imobiliário, e podem auxiliar a implantação de planos urbanos e de saneamento para diminuir custos sociais de amenidades e valorizar apartamentos.

Haiti’s Tree Angels

Haiti has been 97% deforested by Europeans and American businesses for profit. Britannica defines deforestation is defined as the clearing and removal of trees by humans. Deforestation ranks as the largest issue in global land use, historically for agriculture use, fuel, manufacturing, and construction. However, Haiti’s deforestation resulted in the lumber from the trees being exported and nothing being imported or built to replace the trees. Consequently, the ground in Haiti where the trees have been removed has lost its ability to sustain the impact of earthquakes and floods. As such, homes are destroyed and people are displaced following these natural disasters. The aim of Tree Angels for Haiti (TAFH) is to reforest Haiti by planting one tree at a time.

Flood management analysis in the Ngasinan River, Trenggalek Regency, Indonesia

Flood event occurs during the rainy season when water volume increases because rainwater flows through the water channel; due to water volume being larger than the water channel capacity, this event can cause flood inundation through residential areas. The Ngasinan catchment at Trenggalek Regency experienced a flood event that affected thousands of lives in October 2022, to reduce the impact of future floods, this study objective carried out recommendation plans for flood management in the Ngasinan River. The Ngasinan catchment hydrology, maximum annual rainfall from 230.0 mm to 585.0 mm, flood discharge design for the Ngasinan river (river length 21.73 km as main river drainage) are Q25 = 318.64 m3/s, Q100 = 394.96 m3/s. Hydraulic simulation using flood discharge design Q25 -Q100 showed that flood occurs in Ngasinan River sections especially those without embankments or at lower river elevations and cross-sections. Recommendation plans for the Ngasinan River flood management are river normalization, river embankment repairs, residential drainage system, and construction of dams/reservoirs/retarding basins, expected to restore the river’s storage capacity due to sedimentation and destructive flood discharge also to reduce flood discharge, protect river channel banks against flood discharge, and prevent overtopping water into nearby land.

Economic impact of monsoon flood on the household income in Malaysia: A two-level analysis

Malaysia is located in the north of the equator and composed of two regions which are peninsular Malaysia and east Malaysia. The country is characterized by southwest monsoon which is the drier weather that start from late May to September and northwest monsoon that start from November to March. The Northwest monsoon comes with heavy rains in Peninsular Malaysia, and it usually leads to floods. Floods can have a lot of negative socio-economic impacts on the country such as loss of livelihood and a decrease in purchasing power and production, which subsequently affect the country’s economic growth and development. The objective of this study is to investigate the economic impact of monsoon floods on the household income in Malaysia and across its states. The data used in this study were obtained from the Department of Statistics Malaysia and the Department of Irrigation and Drainage Malaysia. The study period covered by the study is from 2016 to 2021. The method used in this study is the panel data regression analysis, which includes the pooled OLS, fixed effect, random effect, and robust model. The result reveals that monsoon flood has a negative impact on household income both at aggregate and disaggregate levels. At Malaysia’s level, the number of floods shows a negative impact on household income. While at the state level, the result shows that some of the states such as Kedah, Kelantan, Negeri Sembilan, Pahang, Perak, Perlis, Sabah, Sarawak, Selangor, Terengganu and Wilayah Persekutuan Kuala Lumpur are significantly negatively affected. Meanwhile, the states of Johor, Melaka, Pulau Pinang and Wilayah Persekutuan Labuan, are not negatively affected. As such, it is recommended that the responsible authority, such as the government and policymakers should enhance their monsoon flood preparedness and mitigation programs.

Rapid Assessment for Emergency Infrastructures in Responding Flood related to Mining Activity: Case Study of Banjarasri and Kedungbanteng Flood, Sidoarjo, Indonesia

Flooding has become the most frequent and impactful disaster events in the Indonesian cities. The Indonesian disaster board also noted that flood events has increasing pattern for today and future time. One of the strategic ways to decrease the impact of flooding is delivering the emergency infrastructures to the needs immediately. The faster delivery makes less impact of disaster events. Therefore, this paper synthesizes a rapid model of assessment from the full assessment of emergency infrastructure need in Sidoarjo Flooding 2020. During the synthesize, the model can reduce duration of assessment from 148 days to four days only. Within the time, eight main steps include finding relevant emergency infrastructures, determining emergency infrastructures needed, assessing emergency infrastructures needed and confirming the actual emergency infrastructure needed. Those eight steps should be taken by encouraging more FGD and in-depth interviews for key relevant stakeholders, guided by specific checklist and filling the gap forms. Strict forms and guidelines provided to help the process in achieving four days assessment period. Consequently, the authorities can use the output assessment for emergency infrastructure program delivery starting from the fifth days after the events.

Assessing the Socioeconomic Impacts of Flooding in Ghana

Assessing the Socioeconomic Impacts of Flooding in Ghana

A study of spatial distribution and dynamic change in monthly FVC of urban parks.

The study on the spatial distribution and dynamic change in monthly Fractional Vegetation Cover (FVC) of parks provides a scientific basis for vegetation management and optimization in urban parks. This research focuses on two comprehensive parks located in Xinxiang, China-People's Park and Harmony Park, using multi-spectral Unmanned Aerial Vehicle (UAV) images as the data source and considering monthly periods. Monthly FVC data was obtained using the method of Dimidiate Pixel Model based on the Normalized Difference Vegetation Index (NDVI). The dynamic changes of monthly FVC at regional scale were described through the dynamic changes in the monthly FVC mean and in the FVC areas at various scales, and the dynamic changes in the monthly FVC were analyzed using the coefficient of variation and curve change trends. Furthermore, the dynamic changes in FVC areas at various scales in the parks were analyzed using standard deviation and curve change trends. Subsequently, the differential method was used to analyze the monthly FVC dynamic changes at pixel scale. The results indicate: (1) In terms of the spatial distribution characteristics in monthly FVC of urban parks, both parks exhibit the highest ratio of bare area in January and February. The proportions of FVC for People's Park are 59.17% and 64.46%, while for Harmony Park they are 69.10% and 51.92%, showing the most distinct spatial distribution characteristics. The high and very high coverage areas in each month are mainly distributed on the outskirts of the park, while the medium, medium-low, and low coverage areas are mainly located in the central and middle parts of the park. The overall FVC of the park shows a trend of high coverage on the periphery and low coverage in the center. (2) In the spatial-temporal dynamic change in FVC at regional scale, the average monthly FVC changes exhibit an overall "∩" -shaped pattern. The peak and minimum FVC values for different parks occur at different times. The peak FVC for People's Park appears in August, while for Harmony Park it appears in June, with corresponding FVC values of 0.46 and 0.50, respectively. The minimum FVC for People's Park occurs in February, and for Harmony Park it occurs in January, with FVC values of 0.17 and 0.15, respectively. Among the dynamic change in FVC areas at various scales, the areas of bare and highest-coverage exhibit the greatest fluctuations, with the ascending and descending changes and rates of bare and highest-coverage areas generally showing opposite trends. (3) In terms of the spatial-temporal dynamic changes in FVC at pixel scale in urban parks, overall, FVC shows moderate improvement from February-August, and moderate degradation from January-February and from August-December. The degradation and improvement are primarily slight. The most significant improvement in monthly FVC occurs in March-April, with a predominant type of significant improvement in FVC changes. People's Park and Harmony Park show the most significant degradation in FVC during September-October and October-November, respectively, with a predominant type of significant degradation in FVC changes. During the periods of most significant improvement and degradation in monthly FVC, the spatial distribution of significant improvement and degradation areas primarily occurs in the periphery and middle parts of the parks. FVC in urban parks decreases from January to February and from August to December, while it increases from February to August, with relatively good conditions from June to August. Vegetation optimization should consider: balancing recreational and ecological functions overall, controlling the proportion of bare land, and enhancing the canopy structure of vegetation in low coverage areas or the coverage of hard surfaces; locally increasing the proportion of evergreen plants and moderately increasing planting density. In addition, parks should strengthen management to reduce the impact of flooding and maintain the health of vegetation.

Remote Sensing and Geographic Information System Based Mapping of Flood Impact on Banana Orchards in Lower Gangetic Plains of Bihar, India

Remote Sensing and Geographic Information System Based Mapping of Flood Impact on Banana Orchards in Lower Gangetic Plains of Bihar, India

Deep Learning Forecasting: An LSTM Neural Architecture based Approach to Rainfall and Flood Impact Predictions in Bihar

The increasing prominence of natural disasters and the variability in climate change have underscored the significance of research in contemporary and prospective studies. This investigation zeroes in on floods, a ubiquitous natural calamity that plagues regions globally. Bihar stands out as a state exceptionally vulnerable to persistent and intense flooding, with a staggering 69.70 lakh hectares—equivalent to nearly 74 percent of its geographical expanse—enduring its detrimental consequences. The repercussions of such inundations are widespread, permeating multiple facets of life and erecting impediments to both the welfare and the developmental trajectory of local communities. Vital sectors, including infrastructure, agriculture, and livestock, bear the brunt of the damage, catalyzing the dislocation of innumerable households. In an agile response to these adversities, the state's administrative machinery has mobilized disaster response brigades, ensuring timely aid and succor to the distressed populace. To adeptly predict impending floods, this study harnesses data from 1991 to 2022, integrating pivotal metrics such as the ’Total Population affected (in lacs)’, ’Mean Annual Rainfall’, and ’Crop damage (in INR lakhs)’. By adopting an LSTM (Long Short-Term Memory) model, the research elucidates its findings via illustrative line plots, furnishing an accessible rendition of the flood trajectory predictions over the forthcoming five-year span. These predictive insights are instrumental for disaster management agencies, enhancing their strategic planning and readied responses to imminent flood events in Bihar. Capitalizing on these forecasts enables authorities to architect proactive interventions, ensuring reduced flood repercussions, bolstered community resilience, and an elevated state of disaster preparedness in the region.

Examining the Feasibility of GeoAI and IoT for Smart Flood Early Warning Systems in Local Communities for Caribbean Urban Spaces

Over the last few decades, flooding has resulted in many problems that significantly impact countries in the Caribbean. This has been especially challenging in urban areas where widespread damage has occurred. In addition, given that over 50% of the world's population lives in urban areas, these locations are deemed to be vulnerable to climate-related disaster events that would further exacerbate the challenges in the region. These urban spaces in the Caribbean have limited access to real-time flood monitoring data for formulating and supporting policies for disaster practitioners to coordinate timely preparedness and mitigation efforts. While flooding is complex, with a series of negative impacts on social and economic sectors, it is essential to provide a basis to support decision-making information on vulnerability and resilience through early warning systems (EWS). However, the main obstacle in creating early warnings in the Caribbean is the suitability and availability of data for real-time flood prediction. While many methods of flood models have been applied in the traditional ways, the methods are complex and not readily adaptable to the context of the local community spaces, especially with limited available data. The Caribbean urban landscape is dynamically changing, which requires careful monitoring for predicting flooding. In a disaster, informing the community is critical for managing flooding risk. The adoption of GeoAI and IoT prepares the next frontier of models for usage in the Caribbean to close the gaps of modeling in data scarcity in urban areas. Consequently, there is a research gap from the perspective of short-term forecasting for sudden rainfall events in urban spaces in the Caribbean. Given the early warning system culture in the Caribbean has an environment of real-time data of scarce resources, it is necessary to forge an approach for real-time forecasting flooding impact in urban spaces. The paper provides a preliminary analysis of the feasibility of machine learning and IoT use in supporting EWS in Caribbean urban spaces.

MIKE 모델을 이용한 미계측 소유역의 강우유출 및 침수분석

Recently, due to the impact of climate change, many regions have experienced an increase in both the frequency and intensity of heavy rainfall events compared to the past. These heavy rainfall events increase the likelihood of flooding in downstream basins. To prevent flooding, it is necessary to calculate the appropriate design flood volume. When estimating the design flood volume, it is necessary to calculate the runoff in consideration of spatial distribution in ungauged basin. In this study, the runoff of the ungauged basin was calculated using the MIKE SHE model, and the flooding impact of the downstream area was analyzed using the MIKE 21 Flow Model. The study confirmed the runoff, downstream travel time, and flooding occurrence times based on rainfall events in the ungauged basin. It has been confirmed that when estimating the design flood volume, consideration must be given to intense rainfall occurring in a short period. This study can be utilized as one of the methods for calculating design flood volume and can be deemed to establish a disaster management system.

Analysis of Gongseng Dam Break-Induced Flood in East Java, Indonesia Through 2D Iber Software

The dam is a crucial river-crossing structure that ensures a sustainable water supply and offers numerous benefits. However, the potential hazard of dam failure is an imminent threat that could materialize unexpectedly. To comprehend the potential impact of dam break flood and identify vulnerable areas, it is essential to conduct rigorous analysis and simulate various dam failure scenarios. This comprehensive assessment is invaluable for informed land use planning and the development of effective emergency response plans. Therefore, this study aimed to analyze flood inundation resulting from the hypothetical failure of Gongseng dam, using Iber model. The modeling approach relied on a two-dimensional finite volume shallow water model, guided by specialized software. The scenarios for Gongseng dam break showed inundation areas of 12.57 km² and 7.55 km² for overtopping and piping failure, respectively. Overtopping failure resulted in the highest discharge, with Von Thun method causing severe damage due to wide break dimensions, and eventually leading to catastrophic consequences. However, this study showed that Froehlich method provided the most rational prediction for break parameters. In contrast to the other methods focusing solely on water height behind dam, Froehlich equation considered both the volume and height at the time of failure. Implementing dam break analysis held the potential to benefit downstream communities by providing inundation maps, thereby aiding in the mitigation of flood risks. Particularly, in situations with limited data and resources, as shown in this study, the cost-effective modeling method proposed could be an attractive option for simulating extreme flood induced by dam break.

Health Consequences of Natural Disasters: An Overview of Recent Literature on Floods

Disasters, whether arising from natural forces or human activities, engender substantial harm, loss, and, in severe cases, fatalities. The enduring repercussions extend across individuals, animals, societies, ecosystems, and geographical locations. The consequences of disasters on public health are particularly pronounced, manifesting in a spectrum of medical outcomes. This review delves into the specific impact of floods on distinct age groups, scrutinizing the varying vulnerabilities within each demographic. Infants, young children, teenagers, adults, and the elderly encounter distinctive challenges during and post-flood events, encompassing respiratory ailments, waterborne diseases, infections, hunger, physical injuries, and psychological disorders. Floods not only compromise healthcare services but also precipitate shortages in medication and suboptimal treatment. Health issues resulting from floods exhibit divergence among neonates, infants, children, adolescents, and older individuals. The susceptibility to physical injuries, infections, respiratory disorders, healthcare disruptions, mental health issues, malnutrition, and waterborne diseases varies with the unique vulnerabilities of each age group. Disruptions to routine life disproportionately impact children and adolescents, whereas infants and older individuals exhibit heightened susceptibility. Extreme flood events pose the potential for fatalities, with the risk contingent on both the severity of the flood and the age group affected. Older adults, newborns, and infants face a higher likelihood of mortality attributable to flood-related causes. Mitigating the adverse health effects of floods necessitates robust disaster planning, improved infrastructure, and targeted health interventions tailored to the age-related vulnerabilities of the population.