Impact Of Flood Disaster Research Articles

Runoff prediction based on the IGWOLSTM model: Achieving accurate flood forecasting and emergency management

With the acceleration of global climate change and urbanization, the frequency and impact of flood disasters are increasing year by year, making flood emergency management increasingly crucial for safeguarding people’s lives, property, and societal stability. To enhance the accuracy of river flow prediction, this study employs an Improved Gray Wolf Optimization Algorithm (IGWO) to optimize parameters of the Long Short-Term Memory Network (LSTM) model. Experimental results demonstrate that the proposed algorithm significantly improves the accuracy of river flow prediction, achieving higher precision and better generalization compared to traditional machine learning algorithms. This method provides more reliable data support for flood warning systems, aiding in the accurate prediction of flood occurrence timing and intensity, thereby providing scientific basis for flood prevention and mitigation efforts. Moreover, this approach supports hydro-logical research, enhancing understanding of river water cycle processes and ecosystem changes.

Jayapura Regency Government's Strategy in Flood Disaster Management in Sentani District

Sentani District in Jayapura Regency often faces floods that have a significant impact on people's lives, infrastructure, and the environment. High rainfall intensity, geographical conditions, and suboptimal spatial management are the main factors causing flooding in this region. The floods that occurred not only damaged people's homes, but also disrupted economic and social activities, and caused huge losses to the community and local government. The aim of this research is to analyze and formulate appropriate strategies to be used by the Jayapura Regency Government in managing flood disasters, especially in the Sentani District, in order to find out appropriate steps that can be implemented in resolving the problems of flood disasters that frequently occur. The research method used is descriptive qualitative through an inductive approach. Apart from that, the author's data sources are people, places, and documents, with data collection techniques using interviews, observation, and documentation. The theory used by researchers is strategic theory using SOAR analysis. This research produced 5 (five) strategies for flood management. By implementing the right strategy and good collaboration between stakeholders, it is hoped that it can reduce the risk and impact of flood disasters and increase community resilience in facing these disasters.

Designing and estimating an amphibious house using lightweight materials to mitigate the devastating effects of floods

Floods are the cause of massive-scale destruction. Flooding is a natural process that cannot be restricted or prevented from happening. Everyone must be prepared to minimize the damage caused in flood-prone areas. It is challenging to live against the water, but it is possible to live with the rising water. Due to rapid population growth, there is no more free land to live away from marine areas, so people are forced to live in areas near the sea or rivers. There is a law of nature: When the time comes, nature treats humans as humans have treated it. Misunderstanding human needs leads to the destructive use of new technology. In order to fulfill the unlimited desires of human beings, an imbalance is created in the environment, causing the temperature of the earth to rise and creating a problem such as global warming. Cloudbursts are also responsible for the occurrence of floods. Over 40 million hectares of the total 329 million hectares of geographical area are at risk of flooding. Floods in India over the past three decades have not only caused significant financial losses but also affected millions of people and claimed nearly 4,000 lives. Recently, after the cloudburst in Uttarakhand and Western Orissa, the situation was so bad that some people became homeless, and others lost their lives. This paper highlights the significant financial losses and the impact of flood disasters on the people of India. This paper presents amphibious house design as a potential solution, emphasizing the need for innovative solutions to address the challenges caused by flooding. Efforts have been made to focus on the construction of a house in flood-prone regions that ensures the safety of lives and assets. An amphibious house of 10 m * 10 m for EWS/LIG/ MIG has been designed, and the estimated cost is Rs 2,11,799.

Design an efficient data driven decision support system to predict flooding by analysing heterogeneous and multiple data sources using Data Lake

Floods are the most common natural disaster in several countries throughout the world. Flooding has a major impact on people's lives and livelihoods. The impact of flood disasters on human lives can be mitigated by developing effective flood forecasting and prediction models. The majority of flood prediction models do not take all flood-causing factors into account when they are designed. It is difficult to collect and handle some of these flood-causing variables since they are heterogeneous in nature. This paper presents a new big data architecture called Data Lake, which can ingest and store all important flood-causing heterogeneous data sources in their raw format for machine learning model creation. The statistical relevance of important flood producing factors on flood prediction outcome is determined utilizing inferential statistical approaches. The outcome of this research is to create flood warning systems that can alert the public and government officials so that they can make decisions in the event of a severe flood, reducing socioeconomic loss.•Flood causing factors are from heterogeneous sources, so there is no big data architecture for handling variety of data sources.•To provide data architectural solution using data lake for collecting and analysing heterogeneous flood causing factors.•Uses inferential statistical approach to determine importance of different flood causing factors in design of efficient flood prediction models.

Modelling resilience to extreme climate events: A household-based study of flood disaster in Nigeria

This article examines the relationship between households’ flood resilience and predictors of their resilience in Nigeria, with a view to improving their flood risk management capacities. This study utilises a quantitative research design whereby a cross-sectional survey method is used to randomly select 512 households for questionnaire administration through a multistage sampling procedure. Data was analysed using Structural Equation Modelling (SEM). The study shows that environmental, institutional, and socio-economic factors have statistically significant positive effects on household flood resilience, while the behavioural factor has a negative effect. The highest predictor of households’ resilience to flood disaster is the socio-economic factor. The implication is that low socio-economic status indicates a high level of poverty that worsens households’ flood resilience. This suggests that the poor do not have the needed economic resources and social nets to prevent, adapt to, and/or transform from the impact of flood disaster.

DISASTER MITIGATION AS AN EFFORT TO MINIMIZE THE IMPACT OF FLOODS IN LAMONGAN DISTRICT

Flood is one of the most dominant disasters in Indonesia with an incident that tends to increase. Lamongan District is an area with a fairly high risk of flooding due to the intensity of which it occurs every year. The high risk of flooding is caused by two reasons, the Bengawan Solo flow and the rainfall (the Bengawan Njero flow). Every flood disaster that occurs will certainly cause various impacts from damage to infrastructure, loss of property, and casualties. Disaster management efforts are certainly carried out to minimize the risk and impact of flood disasters in Lamongan District, such as through disaster mitigation. This research aims to determine disaster mitigation carried out in Lamongan District as an effort to minimize the impact of flooding. This research used descriptive qualitative research methods. Disaster mitigation in this research is divided into two according to Perka BNPB Number 4 of 2008, active disaster mitigation and passive disaster mitigation. The results of this research indicated that active mitigation in Lamongan District was carried out through, making flood disaster signs, supervising spatial planning, conducting training and counseling on flood disasters to officials, communities, and students, planning evacuation places and flood disaster evacuation routes and making embankment reinforcement. Meanwhile, passive mitigation in Lamongan District was carried out through, drafting laws and regulations, making flood-prone maps, making guidelines for every disaster management activity, making disaster posters, conducting flood risk studies, conducting disaster education, forming village forums, and prioritizing disaster management in development planning.

Mitigation of Natural Disasters as Efforts to Minimize Unwanted Impacts in Baleendah Sub-District, Bandung Regency, Indonesia

The Flood disaster is a natural event, one of which is caused by overflowing rivers. This disaster often occurs in the Majalaya area, Bandung Regency. Geographical conditions close to the Citarum River flow and the plains lower than the surrounding area causes this area to be flooded especially during the rainy season. Through the Community Service Program with the topic "training and simulation of natural disaster mitigation as an effort to minimize unwanted impacts in Majalaya sub-district" aims to increase the knowledge of the surrounding community regarding the impact of flood disasters and efforts to reduce the impact through mitigation efforts. This activity is aimed at 8th graders of SMP Negeri 1 Majalaya by using the presentation method using WhatsApp group media. This activity begins with giving questionnaire I which functions as a pre-test and ends with questionnaire II which functions as a post-test. The questionnaire was given at the beginning and at the end to see to what extent the material gave influence and new knowledge to students of SMP Negeri 1 Majalaya. The results of the questionnaire show that prior to counseling on flood disaster mitigation, the sample was categorized as having good knowledge of 87% and having poor knowledge of 13%. After counseling about flood disaster mitigation using PowerPoint media and games there was an increase in knowledge, the sample with good knowledge was 98% and those with poor knowledge were 2%. Based on the results of the pre-test and post-test, this activity proved successful in increasing the knowledge of SMP Negeri 1 Majalaya regarding flood mitigation.

Impact of flood disaster on small businesses in Ghana: a case study

Impact of flood disaster on small businesses in Ghana: a case study

Impact of flood disaster on small businesses in Ghana: a case study

Impact of flood disaster on small businesses in Ghana: a case study

Flood disasters and schistosomiasis control

Currently, the endemic situation of schistosomiasis has dropped to the lowest level in China; however, there are still factors affecting the transmission of schistosomiasis. Flood disasters may pose a great impact on the transmission of schistosomiasis and even affect the progress of schistosomiasis control and the consolidation of schistosomiasis control achievements. In 2020, major flood disasters occur across China. This paper analyzes the current status of schistosomiasis and the impact of flood disasters on the transmission of schistosomiasis in China, and systematically describes the assessment of and response to schistosomiasis transmission risk before flood disasters, the prevention of Schistosoma japonicum infections during flood disasters and the assessment of the endemic situation of schistosomiasis and surveillance of schistosomiasis after flood disasters. It is considered that schistosomiasis control is an important part of conventional schistosomiasis control activities and an important part of anti-flood and schistosomiasis-preventive activities in flood disaster-affected areas. It is recommended that emergence response interventions are implemented in a scientific and well-organized manner to avoid or reduce the risk of schistosomiasis transmission caused by flood disasters. In addition, the research on early surveillance and forecast approaches for schistosomiasis should be emphasized and reinforced to provide the scientific and precise tools for achieving the goal of the 13th Five-year Plan for Schistosomiasis Control and elimination of schistosomiasis in China.

The Comprehensive Analysis of Flood Disasters Losses in China from 2000 to 2010

Flood disasters possess the features of high frequency; widen involving, severe damages and so on. An understanding of flood disaster impact including social and economic aspects is becoming a significant factor to find out a comprehensive and participatory approach for long-term disaster risk reduction and management. On the basis of the flood disasters losses in Chinese provinces, municipalities directly under the central government, affected population, disaster area of crops and direct economic loss were utilized as indicators to probe into the flood disaster impact. Thus based on general statistical method and correlation analysis method, this paper analyzed the tendency of flood disasters losses over time on the angle of above aspects, calculated the correlation between affected population, disaster area of crops and direct economic losses, and eventually the empirical correlation was built. The results showed that the ratio of the maximum direct economic loss to the minimum one was the highest among that of affected population and disaster area of crops. Moreover, the impact of flood disaster on Chinese economy showed a decrease tendency, but the extreme weather may still cause the occurrence of national flood disasters leading to serious losses. After analyzing, the conclusion that Hunan, Hubei, Sichuan, Anhui, Henan and Guangxi are areas suffering the most serious flood disasters in China.

The Impact of Flood Disaster on Daily Activities and Quality of Life amongst Women Flood Disaster Survivors

Flood disaster disrupted routine and performance in daily activities. Disengagement from performing daily activities have a negative impact on health leading to decrease the quality of life. Women were tied with the social norms of having to take care of others, which proves to be harder to juggle in times of disaster. The objective of this study was to identify the most affected occupations among the sandwich generation of women flood survivors. One hundred and thirty-one participants participated in this cross-sectional study. The results indicated that there is a significant difference in rest and sleep among the sandwich generation of women flood survivors.

Impact of flood disasters in Bangladesh: A multi-sector regional analysis

Based on secondary data, this research investigates induced effects of flood disaster scenarios on national and regional output, income and employment through Input–Output model. It traces direct damages and corresponding change in consumer spending and public/private investment during Floods of 2004 and 2007, and estimates the interaction of various economic sectors for six regions of Bangladesh. The study finds that though direct flood damages devastate the economy of Bangladesh, the nation ultimately overcome the adverse impacts by changing consumer behavior and employing diversified investment options. The results indicate that Dhaka, Rajshahi and Sylhet are more vulnerable to flood disasters compared to coastal regions, i.e. Barisal, Chittagong and Khulna, of Bangladesh. Dhaka and Rajshahi faced major output loss, while Sylhet faced noteworthy income and employment loss due to flood disasters. The study finds Barisal as the least affected region. Loss of output and employment is maximum for agriculture sector for any region and most importantly such higher order effects are unrecoverable through current state of public/private investment. Present state of consumer spending and public/private investment, however, have helped industry and construction sector to recover from flood damages. The study recommends to explore alternate employment opportunities against output, income and employment loss of agriculture sector. It urges to consider regional variation while taking different measures to tackle flood disaster.

The impact of flood disasters on child education in Muzarabani District, Zimbabwe

The increase in flood intensity and frequency poses a threat to community infrastructure and affects the total well-being of children in regard to: access to food, health, school attendance, access to clean water and sanitation, physical and social security. Using both qualitative and quantitative data, this article provided an overview of flood disasters and their potential effects on children’s access to quality education in Zimbabwe. The purpose of the study was to analyse school children’s specific vulnerabilities to flood disasters that need to be taken into account in policy development. Research indicated that floods cause loss of learning hours, loss of qualified personnel, outbreak of waterborne diseases, high absenteeism and low syllabus coverage leading to children’s poor academic performance. Children noted a range of experiences, from food insecurity to being withdrawn from school and sometimes forced into early marriages. These challenges compromise children’s rights and access to quality education. This article therefore recommended that a culture of safety be promoted through disaster education, development of good road networks and enforcement of building codes during construction of school infrastructure. Findings also supported the need for adaptation strategies to ensure that the risks specific to school children are addressed.

A Capacitated Location-Allocation Model for Flood Disaster Service Operations with Border Crossing Passages and Probabilistic Demand Locations

Potential consequences of flood disasters, including severe loss of life and property, induce emergency managers to find the appropriate locations of relief rooms to evacuate people from the origin points to a safe place in order to lessen the possible impact of flood disasters. In this research, a p-center location problem is considered in order to determine the locations of some relief rooms in a city and their corresponding allocation clusters. This study presents a mixed integer nonlinear programming model of a capacitated facility location-allocation problem which simultaneously considers the probabilistic distribution of demand locations and a fixed line barrier in a region. The proposed model aims at minimizing the maximum expected weighted distance from the relief rooms to all the demand regions in order to decrease the evacuation time of people from the affected areas before flood occurrence. A real-world case study has been carried out to examine the effectiveness and applicability of the proposed model.

Research on flood risk analysis and evaluation method based on variable fuzzy sets and information diffusion

Floods have become increasingly alarming worldwide. Flood risk management in terms of assessing disaster risk properly is a great challenge that society faces today. Natural disaster risk analysis is typically beset with issues such as imprecision, uncertainty, and partial truth. There are two basic forms of uncertainty related to natural disaster risk assessment, namely, randomness caused by inherent stochastic variability and fuzziness due to macroscopic grad and incomplete knowledge sample. However, the traditional probability statistical method ignores the fuzziness of risk assessment with incomplete data sets and requires a large sample size of data. The fuzzy set methodology is introduced in the area of disaster risk assessment to improve probability estimation. The purpose of the current study is to establish a fuzzy model to evaluate flood risk with incomplete data sets. The present paper puts forward a composite method based on variable fuzzy sets and information diffusion method for disaster risk assessment. The results indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk in flood risk management. We hope that by conducting such risk analysis, the impact of flood disasters can be mitigated in the future.

Impact of Flood Disasters on Taiwan in the Last Quarter Century

The increasing natural disasters, especially floods during the last quarter century, are raising the economic losses in Taiwan. The most severe hazard in Taiwan is flooding induced by typhoons and storms in summer and autumn. By comparing the rivers around the world, the ones in Taiwan have the steepest slopes, the largest discharge per unit drainage area, and the shortest time of concentrations. Rapid urbanization without proper land uses managements usually worsen the flood problems. Consequently, flood hazards mitigation has become the most essential task for Taiwan to deal with. Although the government keeps improving flood defense structures, the flood damage grows continuously. In this article, possible flood mitigation strategies are identified for coping with complex environmental and social decisions with flood risk involved.

APPLICABILITY OF JMA-MSM-GPV TO RIVER BASIN RISK MANAGEMENT AND DISASTER MEASURES

In recent years the economical conditions and the rising public criticism against large-scale publicworks represent the key issue toward the new directions of flood management in Japan. In consequencethe future flood actions is shifting from the well known “traditional hard protection measures stating thatno flood should occur” to the so called “soft countermeasures” stating that larger efforts should beconcen trated on new alternatives aiming to reduce the loss of life and damage of important propertieswhen a natural flood does occur. Therefore, under this new shift it becomes a primary issue to improvethe current soft abilities to forecast the size and impact of flood disaster before a flood does occur. Thepresent research is a growing assessment tool that aims to provide valuable decision support informationlikely to enhance the judgment abilities of river managers in providing disaster countermeasures actionssuch as refuge guidance. At earlier stage of this study the correlation nature between the actual AMeDASprecipitation data and the 6-hour forecast precipitation results of the Japan Meteorological Agencymesoscale numerical weather prediction model (Meso Spectral Model: MSM) was investigated. Theresults showed that rainfall forecast by MSM model would still need further research and improvement inorder to be used in practice. At a second stage, the MSM climatological data where used to derive newoutput variables (such as water divergence) by applying a straight for ward mathematical trans for mationmodel. The correlation results between the actual AMeDAS precipitation data and the transformed outputvariables were relatively high and promising.