Flood Waste Research Articles

Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine

As climate change increases the risk of extreme rainfall events, concerns over flood management have also increased. To recover quickly from flood damage and prevent further consequential damage, flood waste prediction is of utmost importance. Therefore, developing a rapid and accurate prediction of flood waste generation is important in order to reduce disaster. Several approaches of flood waste classification have been proposed by various researchers, however only a few focus on prediction of flood waste. In this study, a Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) approach is adapted to address these challenges. Two different raw datasets were obtained from the “Advancing Sustainable Materials Management: Facts and Figures 2015” source. The datasets were for 9 years (1960, 1970, 1980, 1990, 2000, 2005, 2010, 2014, 2015), and are labelled as the materials generated in the Municipal Waste Stream from 1960 to 2015 and the materials Recycled and Composted in Municipal Solid Waste from 1960 to 2015. The waste types were grouped as paper and paperboard (PP), glass (GI), metals (Mt), plastics (PI), rubber and leather (RL), textiles (Tt), wood (Wd), food (Fd), yard trimmings (YT) and miscellaneous inorganic wastes (IW).

IoT Based Bot for Flood Water Cleaning and Treatment

Abstract: This survey paper is an attempt to construct a bot that can clean and treat flood water. During floods, water becomes contaminated with waste because the use of plastic and other harmful materials is increasing uncontrollably in many floodaffected areas. Toxins from these elements disrupt the ecosystem and endanger human health, leading to cancer, congenital malformations, and immune system problems. Water scarcity is a severe concern in modern society that requires a lot of attention. As a result, flood water must be treated. By collecting the waste treatment of water using chemicals, a bot for flood water cleaning and treatment utilizing IoT is created. Keywords: Internet of Things, Flood Waste, Water Treatment, Bot, Bluetooth, Arduino

Flood Waste Debris Quantification and Comparison Based on the Removal and Disposal Operation: A Post-Disaster Study of Beaumont, Texas Following Hurricane Harvey

Flood Waste Debris Quantification and Comparison Based on the Removal and Disposal Operation: A Post-Disaster Study of Beaumont, Texas Following Hurricane Harvey

Retraction: Study on the Waste Information and Statistics Management for Efficient Disposal of Flood Waste

Retraction: Study on the Waste Information and Statistics Management for Efficient Disposal of Flood Waste

A Study on the Efficient Treatment and Management Method of Flood Waste Using GIS

본 연구는 수해폐기물의 효율적 처리 및 관리를 위한 개선방안을 마련하고자 한다. 침수사례지역인청주시를 대상으로 GIS 분석기법을 이용하여 폐기물 처리시설에 대한 공간정보를 구축하고, 기존지침상의 선정 기준을 고려하고 GIS 분석기법을 활용한 입지 선정기법을 이용하여 임시적환장의적절한 위치를 선정한다. 선정된 임시적환장의 위치를 바탕으로 수해폐기물의 매립, 소각, 재활용처리를 위한 운반경로를 도출하고 이를 비교·분석하여 최적의 경로를 제안하고자 한다. 이와 같이GIS 분석기법을 이용하여 수해폐기물 발생량 산정 방법, 임시적환장 부지 선정 방안, 수해폐기물수집/운반을 위한 최적경로 도출 등 연구내용 및 분석결과를 각 지자체별로 적용하여 재해 발생시 투입되는 인력, 인프라, 예산에 대하여 사전에 대비와 폐기물 처리시설, 수해폐기물 수집/운반을위한 경로 확보 등 다양한 부분에서 적극 활용할 수 있을 것으로 판단된다. 또한, 이러한 연구를토대로 수해뿐만 아니라 지진과 같은 다른 환경재난에 따른 폐기물 처리 및 관리 연구가 필요할것으로 판단된다.In this study, that is to try to prepare improvement measures for efficient treatment and management of flood waste. Using the GIS analysis method for the inundation case area of Cheong-Ju City, construct spatial information of the waste treatment facility, consider the selection criteria on the existing guidelines, and use the location selection method that utilizes the GIS analysis method. Then, temporarily select an appropriate location for the waste relay facility. Based on the location of the selected temporary waste transfer facility, that it to derive transportation routes for landfill, incineration, and recycling of flood waste, compare and analyze them, and try to provide the optimum route. In this way, using the GIS analysis method, research contents and analysis results such as calculation method of flood waste generation amount, site selection plan of temporary waste relay facility, derivation of optimum route for collection transportation of flood waste, etc. Applicable to each local government, regarding human resources, infrastructure, budget to be invested in the event of a disaster, in various parts such as preparation in advance, waste treatment facilities, securing routes for collection transportation of flood waste, etc. It is judged that it can be actively utilized.

Incorporating interaction terms in multivariate linear regression for post-event flood waste estimation

Multivariate linear regression methodology has been conceived as a viable technique in flood waste estimation. The fundamental assumption of the conventional flood waste model, independence between input variables, may not work in reality. As an alternative, we evaluated the effectiveness of including interaction terms in flood waste modeling. The secondary objectives include to suggest the strategy in flood waste mitigation and to explore a plausible explanation to the modeling results. In the scheme of model development and assessment, ninety flood cases in South Korea were statistically analyzed. Input variables for regression analysis were selected from available datasets in the national disaster information system and the selected variables were flood damage variables used to quantify the amount of flood waste. According to the results, incorporating the interaction terms improved the estimation accuracy of the model. The single-variable sensitivity analysis revealed that mitigating damage to rivers and croplands would most efficiently reduce potential flood waste generation. The interaction terms appeared to compensate for the over/underestimated waste amounts by single terms, and they explained the nonlinear response of waste generation. Observations made throughout the field survey revealed that the nonlinear and interactive pattern of flood waste generation corresponded to the results from the regression analysis. In a practical aspect, incorporating the interaction terms would be an effective method to enhance the flood waste estimation model without costly works for further variables exploration.

RETRACTED ARTICLE: A hybrid flood waste classification model using 3D-wavelet transform and support vector machines techniques

Flood is one of the devastating natural disaster than anything else. It is a harmful event that can risk human life, damage homes, and have huge economic impacts. Flooding creates garbage and solid waste which includes dead animals, waste products, etc. and this can increase the possibilities of spreading disease and worsening water and sanitation problems in an area and hence the need to warrant a rapid response. Several approaches of waste classification have been proposed by various researchers but only some few researches concentrate on classifying flood waste. In this study, a hybrid flood waste classification model using a 3D-wavelet transform (3D-DWT) and Support Vector Machine (SVM) was developed to address these challenges. 3D-DWT transforms the preprocessed input data by providing a time–frequency representation of the signal in different time periods in the 3D wavelet time domain, and also provides important information about the physical structure of the data and extracts the features from the main signal which serves as input to the SVM classification. The image dataset from Kaggle was classified into recyclable or non-recyclable. A total of 400 images were used to test the model to evaluate the performance and an accuracy of 85.25% and 86.00% for SVM + 2D and SVM + 3D models respectively after the model was tested with adequate times iteration. Comparing with related works which only uses the 2D-DWT and a single model, an hybrid 3D-DWT and SVM was used where 3D-DWT decomposes the images, while prediction is done using SVM thereby improving the accuracy of the system.

Data stratification toward advanced flood waste estimation: A case study in South Korea

Flood waste management is important for reducing the damage and secondary environmental pollution caused by delays in disaster recovery. One key issue related to flood waste management concerns estimating the precise quantity of waste to plan recovery strategies and policies. In this study, an advanced flood waste estimation technique was devised using data stratification. In total 90 flood cases in South Korea were sorted by three strata characteristics: administrative region (AR; equivalent to special city or province), urbanization rate (UR), and disaster type and coastal accessibility (DC). According to the results, such data stratification led to flood waste prediction improvement not only by the single-stage stratification but also by successive stratifications. Data stratification was effective both for identifying groups with similar contexts and for eliminating disparities in the dataset that impede accurate waste prediction. Among the stratification sequences tested, the order resulted in the most improvement in flood waste prediction was UR, AR, and DC. This stratification order yielded enhanced waste prediction in 74 cases. Since this study deals with a strategy to resolve gaps in disaster data, which is a crucial issue in many countries, it is envisaged that this strategy can be transferred to other countries.

Bayesian approach in estimating flood waste generation: A case study in South Korea

Accurate estimations of flood waste generation are a crucial issue in disaster waste management. Multilinear regression of related parameters has been recognized as a promising technique for flood waste estimation. There are two types of flood waste estimation methods: pre-event predictions using factors related to regional properties and rainfall hazards, and post-event predictions using damage variables due to floods, such as the number of damaged buildings. Previous attempts to establish these models used deterministic approaches; however, probabilistic methods have never been applied. Considering the large degrees of uncertainty in waste generation from floods, a probabilistic approach can provide a more accurate model compared to models developed by the conventional deterministic approach. This study applied Bayesian inference to develop a flood waste regression model in South Korea. The aims of the study are as follows: (1) to analyze the characteristics of coefficients estimated by the Bayesian approach; (2) evaluate the performance of the prediction model by Bayesian inference; and (3) assess the effectiveness of Bayesian updating in a flood waste estimation. According to the results, the coefficients obtained via Bayesian inference showed a more significant p-value compared to those developed through the deterministic approach. Bayesian inference with a null prior distribution was effective in error reduction, specifically for post-event prediction. Bayesian updating did not effectively increase the accuracy of the model, while iterative updating required a complex calculation process. These results reveal the potential of the Bayesian approach in flood waste estimations, which can be transferred to other countries.

Study on the Waste Information and Statistics Management for Efficient Disposal of Flood Waste

The purpose of this study is to extract the current problems of flood damage treatment, which relates towaste from wind and water, and to present waste information and statistical management methods for efficient flood damage treatment through domestic and foreign case studies. Responses to flooding have been found to be inefficient due to systematic and comprehensive statistical data on floods, the absence of basic plans, and a lack of collaboration between waste disposal agencies and local governments. In order to efficiently dispose of flood waste, a system such as providing financial incentives to local governments, is necessary. For systematic planning, a quantitative method of calculating a certain amount of occurrence should be applied. In addition, in order to monitor the implementation of the basic plan, it is thought that systematic and rational statistical surveys need to be continuously conducted.

Pemberdayaan masyarakat Kelurahan Perkamil dalam mengurangi potensi terjadinya banjir

Permasalahan banjir di Kota Manado merupakan salah satu masalah utama, salah satu titik banjir adalah terutama di Kelurahan Perkamil. Tujuan pelaksanaan teknologi tepat guna biopori mitigasi banjir merupakan salah satu solusi memberdayakan masyarakat untuk (1) mengurangi potensi terjadinya banjir di Kota Manado khususnya Kelurahan Perkamil. (2) mencegah terjadinya kerusakan lingkungan yang semakin parah akibat terjangan air limpasan permukaan tanah. Target khusus yang ingin dicapai adaalah (1) mengurangi aliran air permukaan tanah dari pemukiman atau perumahan; (2) memperbaiki tekstur tanah dengan bahan limbah organic sehingga laju resapan air ke dalam tanah meningkat. Hal ini berdampak pada mitigasi aliran air limpasan permukaan tanah dan konservasi air bawah tanah.. Metode pelaksanaan yaitu melakukan pelatihan terhadap semua kepala lingkungan dan sebagian masyarakat kelurahan Perkamil membuat lubang biopori. Melatih masyarakat mengelola banjir dan limbah rumah tangga dan pekarangan dengan teknik biopori, Kedalaman lubang biopori 100 cm dan diameter 10 cm,. Bahan dan alat, bor tanah, dan paralon., dan limbah organic. Hasil pelatihan semua peserta pelatihan dapat membuat lubang biopori, memahami fungsi dan manfaatnya dalam mitigasi potensi banjir, mengelola sampah organik rumah tangga dan pekarangan. Peserta mengetahui bahwa tanah dapat dipakai sebagai soil biokomposter untuk menghasilkan kompos organik yang bahan bakunya limbah organik rumah tangga dan pekarangan.

Flood Waste Management Preparedness Indicators: Learning from Semarang Flood 1990s

Flood waste such as waste generating after flood, see inundation, high rains must be handling quickly and proper. The acceleration of management is one of key point in the following respond and reconstruction. Since Flood waste treatment, need more than 30 % of emergency budget, the performance should be improved. This research proposed a method to set indicators in disaster waste management preparedness. By using GIS and SPPS statistical tools this research examine some basic indicator for independent variable namely normal waste generation, number of temporary waste collection, number of informal waste picker, demography, waste infrastructure, and governmental program and the dependent variable is waste treated and recycle. Semarang 1990s flood is selected study to examine the model. model result shown that all indicators are possible to set as basic indicators for flood waste management preparedness.

Introduction Study of Tidal Flood Waste Management Cost in North Semarang Sub-District

Tidal flood is a disaster that threatens coastal areas due to sea-level rise and land subsidence. One of the sub-districts in the city of Semarang, which is included in the tidal flood-prone area in every years, is the North Semarang Sub-District. The area of tidal flood is 55.95 Ha and the data of estimated generation of tidal flood waste in the North Semarang Sub-District is +/- 70 tons. Lack of planning for handling waste disasters, especially for tidal flood waste, is a challenge related to environmental and economic impacts that occur at tidal flood sites. This study aims to examine the quantification of the cost of handling tidal flood waste using quantitative descriptive analysis cost accounting calculation method. The calculation is done by considering several things, namely the activity of handling waste, the need for handling waste, as well as the calculation of the cost of handling tidal flood waste. The total cost of handling tidal flood waste in North Semarang Sub-District is IDR 14,209,324,000/year or IDR 1,184,110,333/month. The results of the calculation of the overall cost are then divided by the area of the tidal flood so that the unit cost of handling waste per m2 is IDR 2,117/m2.

Understanding of housing damage and amount of flood waste caused by flooding of the Fuji river basin

Understanding of housing damage and amount of flood waste caused by flooding of the Fuji river basin

Managing flood waste: a burden to Kuala Krai residents

The purpose of this paper is to identify the perception regarding the post-flood waste management system in Kuala Krai, Kelantan. 24 respondents - 12 men and 12 women - were selected at random using the following criteria: 25 years old and above, local residents from Kuala Krai, Kelantan, and directly involved with the flood in 2014. Respondents were divided into 3 groups each consisting of 8 people. The discussion sessions were held according to the Focus Group Discussion (FGD) format and carried out by an experienced moderator. The study shows that ineffective flood waste management provisions in government policies and individual management are the main causes of the spread of diseases and the longer time before cleaning work took place than before. Besides, the psychological effects of flooding on the villagers such as trauma, depression, and shock were due to the loss of their assets. The issue of cooperation among people also arose in the study as one of the effective factors in flood waste management in Kuala Krai. The study also notes suggestions from the villagers about the upgrading of the methods of flood waste management for the future. This paper can be used as a basis for determining the policies or guidelines that are needed by the government when improving the effectiveness of flood waste management. Keywords: flood, waste management, Kuala Krai, Focus group discussion

Current and Future Trends of Flood Waste Collection and Disposal Systems in Korea

본 연구는 우리나라 수해폐기물 처리현황에 대해 고찰하였고, 향후 우리나라의 수해폐기물 관리방안에 대해서 일본과 미국의 사례를 검토하여 제시하였다. 우리나라 수해폐기물 관리에 있어서 문제점은 지자체별 기본계획 부재와 이에 따라 폐기물 처리시설과 지자체간의 연계성 부족으로 인한 직매립을 들었다. 이외에도 수해폐기물 통계조사의 부족 및 조사 기관별 불일치성, 수해폐기물 발생량 예측에 대한 연구부족에 따른 인력투입이나 장비투입의 규모를 결정하는 대처능력이 미흡해지는 문제점을 제시하였다. 이러한 문제점을 해결하기 위해 미국과 일본의 사례를 조사하였다. 우리나라는 지자체 수해폐기물 기본계획 수립여부에 따라 재정적 인센티브를 부여하는 미국의 방식을 통해 제도적인 보완이 선행되어야 할 것으로 판단된다. 기본계획 수립을 위한 기본과정인 수해폐기물 발생량 산정에 있어서 미국의 발생량 예측방식과 일본의 발생량 산정방식이 우리나라 수해폐기물 관리에 병행되어야 할 것이다. 또한 기본계획 이행사항을 모니터링 하기 위해 수해폐기물 통계조사가 지속적으로 이루어져야 할 것이다.This study examines the current state of flood waste treatment in Korea and recommends an alternative management strategy based on the lessons from Japan and US. Direct landfillingwas recognized as one of the major problems in Korea as it was related to the absence of the master plan in the municipalities and the lack of cooperation between municipalities and waste facility authorities. Additionally, we pointed out inadequate capacity to determine the optimal scale of human resources and equipment due to the shortage and inconsistency of flood waste data and the lack of research on prediction of flood waste amount. The recommended solutions based on the investigation of the US and Japanese cases include institutional complementation granting financial incentives to the municipalitiesthat establish a master flood waste plan. A better method of forecasting flood waste amount should be incorporated into the flood waste management in Korea by benchmarking the forecasting methods used in US and Japan. Furthermore, a routine survey of flood waste should be carried out to monitor actual implementation of the master plan.

Estimation of flood waste amounts from housing and other buildings in the anticipated inundation area of the Tama River basin

Estimation of flood waste amounts from housing and other buildings in the anticipated inundation area of the Tama River basin

Perception of Flood Waste Management Among Stakeholders in Kelantan

Objective: The purpose of this study is to determine the perception of stakeholder regarding the post-flood waste management system among the stakeholder authority. Methodology: This is a qualitative study and using in-depth interview. Results: The participants are officers involved in post flood from district council, SWCorp and Alam Flora. Among the criteria taken into consideration during the selection of respondents is having experience in flood waste management and involve in managing problematic areas. Conclusion: Researcher determined theme on severity of flood, waste collection, factors of failures and suggestion for improvement.

水害廃棄物処理における分野間連携の可能性

水害廃棄物処理における分野間連携の可能性

Fundamental Study on Flood Waste Estimation in the Anticipated Inundation Area of the Kinugawa River: Housing and Building Flood Damages

Fundamental Study on Flood Waste Estimation in the Anticipated Inundation Area of the Kinugawa River: Housing and Building Flood Damages