The present attempt is made to assess soil erosion and its relationship to landslide incidents in the Panchganga river basin using geospatial techniques. The RUSLE model is used for assessing soil erosion and the FR model is employed for correlation analysis. The static and dynamic components of RUSLE are obtained using multi-source information and an integrated analysis is conducted in the ArcGIS software environment. Landslides are detected using remote sensing datasets and the change detection approach. According to the results of the soil erosion model, 81 % of the study area has a very low risk of erosion while about 21 % has a high and very high risk. The average rate of soil loss in the basin is 83 t/ha/yr. In the correlation analysis, the ratio represents the region where landslides took place to a specific area of an erosion-prone zone. As per the findings, the correlation between soil erosion and landslide incidences indicates that areas with high and very high erosion zones have a higher probability of landslides. The ROC is used to assess the correlation between the soil erosion model and landslide occurrence. According to the assessment results, the AUC indicates an 0.89 correlation between the resulting soil erosion model and landslides.
{"title":"Assessment of Soil Erosion and its Correlation with Landslide Incidents using Geospatial Techniques","authors":"Abhijit S. Patil, S. Panhalkar","doi":"10.25303/171da011022","DOIUrl":"https://doi.org/10.25303/171da011022","url":null,"abstract":"The present attempt is made to assess soil erosion and its relationship to landslide incidents in the Panchganga river basin using geospatial techniques. The RUSLE model is used for assessing soil erosion and the FR model is employed for correlation analysis. The static and dynamic components of RUSLE are obtained using multi-source information and an integrated analysis is conducted in the ArcGIS software environment. Landslides are detected using remote sensing datasets and the change detection approach. According to the results of the soil erosion model, 81 % of the study area has a very low risk of erosion while about 21 % has a high and very high risk. The average rate of soil loss in the basin is 83 t/ha/yr. In the correlation analysis, the ratio represents the region where landslides took place to a specific area of an erosion-prone zone. As per the findings, the correlation between soil erosion and landslide incidences indicates that areas with high and very high erosion zones have a higher probability of landslides. The ROC is used to assess the correlation between the soil erosion model and landslide occurrence. According to the assessment results, the AUC indicates an 0.89 correlation between the resulting soil erosion model and landslides.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"241 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138985127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Watershed located in a Hilly-plain environment is more susceptible for soil erosion. Loss of fertile soil in agricultural land hampers the life of the farmers of the region. Identification of the vulnerable areas and devising strategies to minimize the damage caused due to soil erosion are important to address the problems faced by the agrarian society. In our current work, drainage morphometric parameters were evaluated to assess the soil erosion susceptibility of the four sub-watersheds (SW01, SW02, SW03 and SW04) of the Yagachi watershed located in the Hemavathi river basin in Karnataka State using Remote Sensing (RS) and Geographical Information System (GIS). Seventeen morphometric parameters namely Area, Stream Order, Mean Bifurcation Ratio, Drainage Density, Stream Frequency, Texture Ratio, Infiltration Number, Compactness Co-Efficient, Length of Overland Flow, Elongation Ratio, Circulatory Ratio, Form Factor, Relief Ratio, Shape Factor, Basin Relief, Dissection Index and Ruggedness Number were considered. The priority rank and category for each sub-watershed were assigned based on Compound Factor (CF) value. The sub-watersheds with the lowest CF value are most susceptible to erosion and need highest priority for the soil conservation measures. Based on CF values, the sub-watersheds were categorized into 4 priority groups: ‘Very High’ priority (<2.00), ‘High’ priority (2.01–2.50), ‘Moderate’ priority (2.51–3.00) and ‘Low’ priority (≥3). Out of 4 sub-watersheds, SW03 falls in ‘Very High’ priority category in terms of erosion susceptibility and needs appropriate soil conservation measures in order to arrest fertile soil erosion and increase agricultural produce output.
{"title":"Sub-Watershed Prioritization for Erosion Susceptibility based On Drainage Morphometric Characters","authors":"M. Sowndarya, M.R. Janardhana","doi":"10.25303/171da023034","DOIUrl":"https://doi.org/10.25303/171da023034","url":null,"abstract":"Watershed located in a Hilly-plain environment is more susceptible for soil erosion. Loss of fertile soil in agricultural land hampers the life of the farmers of the region. Identification of the vulnerable areas and devising strategies to minimize the damage caused due to soil erosion are important to address the problems faced by the agrarian society. In our current work, drainage morphometric parameters were evaluated to assess the soil erosion susceptibility of the four sub-watersheds (SW01, SW02, SW03 and SW04) of the Yagachi watershed located in the Hemavathi river basin in Karnataka State using Remote Sensing (RS) and Geographical Information System (GIS). Seventeen morphometric parameters namely Area, Stream Order, Mean Bifurcation Ratio, Drainage Density, Stream Frequency, Texture Ratio, Infiltration Number, Compactness Co-Efficient, Length of Overland Flow, Elongation Ratio, Circulatory Ratio, Form Factor, Relief Ratio, Shape Factor, Basin Relief, Dissection Index and Ruggedness Number were considered. The priority rank and category for each sub-watershed were assigned based on Compound Factor (CF) value. The sub-watersheds with the lowest CF value are most susceptible to erosion and need highest priority for the soil conservation measures. Based on CF values, the sub-watersheds were categorized into 4 priority groups: ‘Very High’ priority (<2.00), ‘High’ priority (2.01–2.50), ‘Moderate’ priority (2.51–3.00) and ‘Low’ priority (≥3). Out of 4 sub-watersheds, SW03 falls in ‘Very High’ priority category in terms of erosion susceptibility and needs appropriate soil conservation measures in order to arrest fertile soil erosion and increase agricultural produce output.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"17 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138984624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past ten years, there have been more disasters and these catastrophes have a greater impact on communication networks' ability to function. An immediate emergency response is necessary in disaster scenarios. There is a lot of interest in wireless-based emergency response systems since wired emergency response systems have struggled to effectively operate in such time-sensitive circumstances. Several wireless systems and technologies, each having unique properties, advantages, disadvantages are suggested in this respect for application in diverse emergency response scenarios. This study focuses on how recent developments in wireless protocols and communication technologies, particularly mobile technologies and devices, might assist disaster management. In order to encourage the usage of technology using wireless for responding to emergencies, comparison of various wireless advances is presented. This study gives a general overview of how new telecommunications and technology advancements like Massive MIMO, Millimeter wave, Device to device, Non-Orthogonal multiple Access (NOMA) and Cognitive radio might enhance the potential of disaster management networks. It provides broad principles that will aid public safety organisations in selecting wireless technologies that are appropriate for each of them. In contrast to previous surveys, this one focuses on current research objectives and recent advancements in the field of disaster management by emphasising the usage of widely available mobile applications and devices.
{"title":"Wireless Technologies on the road to effective Disaster Management: A survey","authors":"Prasad Ch. Babji, T. Geethamma, T. Prabhakar","doi":"10.25303/171da062072","DOIUrl":"https://doi.org/10.25303/171da062072","url":null,"abstract":"Over the past ten years, there have been more disasters and these catastrophes have a greater impact on communication networks' ability to function. An immediate emergency response is necessary in disaster scenarios. There is a lot of interest in wireless-based emergency response systems since wired emergency response systems have struggled to effectively operate in such time-sensitive circumstances. Several wireless systems and technologies, each having unique properties, advantages, disadvantages are suggested in this respect for application in diverse emergency response scenarios. This study focuses on how recent developments in wireless protocols and communication technologies, particularly mobile technologies and devices, might assist disaster management. In order to encourage the usage of technology using wireless for responding to emergencies, comparison of various wireless advances is presented. This study gives a general overview of how new telecommunications and technology advancements like Massive MIMO, Millimeter wave, Device to device, Non-Orthogonal multiple Access (NOMA) and Cognitive radio might enhance the potential of disaster management networks. It provides broad principles that will aid public safety organisations in selecting wireless technologies that are appropriate for each of them. In contrast to previous surveys, this one focuses on current research objectives and recent advancements in the field of disaster management by emphasising the usage of widely available mobile applications and devices.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"16 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138984628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Landslides are a significant natural disaster causing damage to many mountainous regions worldwide including the Indian Himalayan region. In the East Sikkim district of the Eastern Himalayas, the most used bivariate frequency ratio (FR) model was utilized with high-resolution satellite imagery to understand the susceptibility of the region to landslides. Conditioning factors such as slope aspect, slope angle, slope curvature, drainage density, land use and land cover (LULC), normalized difference vegetation index (NDVI), lithology, and geomorphology were considered in the analysis. LULC is the most crucial factor contributing to landslide susceptibility with a normalized FR value of 14.1. Slope and geomorphology followed closely with values of 12.5 and 11.8 respectively. In contrast, the least important factors were slope aspect and lithology with values of 8.7 and 9.3 respectively. These results can be used to prioritize landslide conditioning factors (LCF) and generate a final landslide susceptibility map (LSM). By adding the values of all LCFs, a landslide susceptibility index was obtained, and the LSM was zoned into high, medium, and low susceptibility classes covering 23.4%, 44.4%, and 32.2% of the study area respectively. The validity of the method used was confirmed using a receiver operating characteristic curve which yielded an accuracy of 78%. The findings highlight the importance of LULC, slope, and geomorphology as critical factors in landslide susceptibility in the East Sikkim district of the Eastern Himalayas.
{"title":"Frequency ratio analysis to determine the landslide susceptibility in East Sikkim district of Indian Himalayan region","authors":"Abha Chaudhary, Prakash Biswakarma, Varun Joshi, Asha Pandey, Ruchi Singh","doi":"10.25303/171da044061","DOIUrl":"https://doi.org/10.25303/171da044061","url":null,"abstract":"Landslides are a significant natural disaster causing damage to many mountainous regions worldwide including the Indian Himalayan region. In the East Sikkim district of the Eastern Himalayas, the most used bivariate frequency ratio (FR) model was utilized with high-resolution satellite imagery to understand the susceptibility of the region to landslides. Conditioning factors such as slope aspect, slope angle, slope curvature, drainage density, land use and land cover (LULC), normalized difference vegetation index (NDVI), lithology, and geomorphology were considered in the analysis. LULC is the most crucial factor contributing to landslide susceptibility with a normalized FR value of 14.1. Slope and geomorphology followed closely with values of 12.5 and 11.8 respectively. In contrast, the least important factors were slope aspect and lithology with values of 8.7 and 9.3 respectively. These results can be used to prioritize landslide conditioning factors (LCF) and generate a final landslide susceptibility map (LSM). By adding the values of all LCFs, a landslide susceptibility index was obtained, and the LSM was zoned into high, medium, and low susceptibility classes covering 23.4%, 44.4%, and 32.2% of the study area respectively. The validity of the method used was confirmed using a receiver operating characteristic curve which yielded an accuracy of 78%. The findings highlight the importance of LULC, slope, and geomorphology as critical factors in landslide susceptibility in the East Sikkim district of the Eastern Himalayas.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138984576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fires that occur in residential areas have a negative impact on the community, from both social and economic perspectives. In urban areas, where the high density of buildings and people is evenly distributed, the chances of loss of life and property are considerably high. Those changes are even higher in residential areas or villages located far from fire brigade access. The occupants should not wait for the assistance of the city fire brigade but should act to terminate the flame themselves to save their properties and lives. This study aimed to determine the awareness of fire safety measures in residential areas and fire safety behavior and the capability of residents to independently extinguish fires. A total of 122 participants participated in filling out an online questionnaire to find answers to possible strategies for handling fires in residential areas. Statistical analysis was carried out to see behavioral trends and some of the potential in the community to prevent fires in residential areas. This study discovered that the availability of water is mostly preferred for fighting fires in residential areas, that there is a lack of awareness of electrical as the primary source of fires and that a level of disbelief in the society’s ability to fight fires on their own. This study includes both individual and communal self-extinguishing strategies.
{"title":"Community based Residential Firefighting Strategy: A Case Study of Malang City","authors":"Sufianto Heru","doi":"10.25303/1612da055061","DOIUrl":"https://doi.org/10.25303/1612da055061","url":null,"abstract":"Fires that occur in residential areas have a negative impact on the community, from both social and economic perspectives. In urban areas, where the high density of buildings and people is evenly distributed, the chances of loss of life and property are considerably high. Those changes are even higher in residential areas or villages located far from fire brigade access. The occupants should not wait for the assistance of the city fire brigade but should act to terminate the flame themselves to save their properties and lives. This study aimed to determine the awareness of fire safety measures in residential areas and fire safety behavior and the capability of residents to independently extinguish fires. A total of 122 participants participated in filling out an online questionnaire to find answers to possible strategies for handling fires in residential areas. Statistical analysis was carried out to see behavioral trends and some of the potential in the community to prevent fires in residential areas. This study discovered that the availability of water is mostly preferred for fighting fires in residential areas, that there is a lack of awareness of electrical as the primary source of fires and that a level of disbelief in the society’s ability to fight fires on their own. This study includes both individual and communal self-extinguishing strategies.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Floods are the most common, destructive and frequently occurring natural disasters on the earth in terms of economic damages and affected lives. A flood can be an inconvenience or a catastrophic event, resulting in long-term economic and environmental consequences. Flood extent mapping identifies and delineates the areas that are inundated. The study focuses on the flood event of Wardha river near Chandrapur on 12th August, 2022. In this study, we proposed an ensemble averaging model (EAM) for optimizing the accuracy of flood inundation mapping that discriminates flood waters from the non-flood waters using stack of multitemporal Sentinel-1 satellite imagery. Sentinel-1 uses C-band microwave signals to measure backscatter from the Earth's surface with its synthetic aperture radar (SAR) sensor that can penetrate clouds and collects data regardless of weather conditions. The results of the proposed model were compared with other machine learning models such as SVM, RF and MLC. The result analysis reveals that the overall accuracy, Kappa coefficient (KC) and area under curve (AUC) values for the proposed model (OA = 98%, KC = 0.97, AUC = 0.986 for training and OA = 97%, KC = 0.96, AUC = 0.957 for testing dataset) outperformed the other models. The result may help people and town planners in identifying safe and risky areas in the study area.
就经济损失和受灾生命而言，洪水是地球上最常见、最具破坏性和最频繁发生的自然灾害。洪水可能带来不便，也可能是灾难性事件，造成长期的经济和环境后果。洪水范围测绘可确定和划定被淹没的区域。本研究的重点是 2022 年 8 月 12 日钱德拉布尔附近瓦尔达河的洪水事件。在这项研究中，我们提出了一个集合平均模型（EAM），用于优化洪水淹没范围测绘的准确性，该模型可利用多时 Sentinel-1 卫星图像堆栈区分洪水和非洪水。哨兵-1 使用 C 波段微波信号测量地球表面的反向散射，其合成孔径雷达（SAR）传感器可以穿透云层，不受天气条件影响收集数据。建议模型的结果与 SVM、RF 和 MLC 等其他机器学习模型进行了比较。结果分析表明，所提模型的总体准确率、卡帕系数（KC）和曲线下面积（AUC）值（训练数据集为 OA = 98%，KC = 0.97，AUC = 0.986；测试数据集为 OA = 97%，KC = 0.96，AUC = 0.957）均优于其他模型。这一结果可能有助于人们和城市规划者识别研究区域内的安全和风险区域。
{"title":"Optimizing the accuracy of flood extent mapping using multitemporal stack of Sentinel-1 SAR data with machine learning approach for Wardha River, Chandrapur District (India)","authors":"P. N. Pusdekar, Sanjay V. Dudul","doi":"10.25303/1612da012019","DOIUrl":"https://doi.org/10.25303/1612da012019","url":null,"abstract":"Floods are the most common, destructive and frequently occurring natural disasters on the earth in terms of economic damages and affected lives. A flood can be an inconvenience or a catastrophic event, resulting in long-term economic and environmental consequences. Flood extent mapping identifies and delineates the areas that are inundated. The study focuses on the flood event of Wardha river near Chandrapur on 12th August, 2022. In this study, we proposed an ensemble averaging model (EAM) for optimizing the accuracy of flood inundation mapping that discriminates flood waters from the non-flood waters using stack of multitemporal Sentinel-1 satellite imagery. Sentinel-1 uses C-band microwave signals to measure backscatter from the Earth's surface with its synthetic aperture radar (SAR) sensor that can penetrate clouds and collects data regardless of weather conditions. The results of the proposed model were compared with other machine learning models such as SVM, RF and MLC. The result analysis reveals that the overall accuracy, Kappa coefficient (KC) and area under curve (AUC) values for the proposed model (OA = 98%, KC = 0.97, AUC = 0.986 for training and OA = 97%, KC = 0.96, AUC = 0.957 for testing dataset) outperformed the other models. The result may help people and town planners in identifying safe and risky areas in the study area.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The threat of hazmat has always been situated around Korea, considering that each stakeholder has carried out isolated activity in the field. This study aimed at studying how Korea must enhance its absence of a national framework for the ultimate goal of emergency management. A major methodology was qualitative content analysis by studying the topic of either without a national framework or with a national framework via Governments, industries, NGOs and local residents. The key theme was that Korea would need to fundamentally set up a national framework for hazmat emergency management while timely implementing the issues of all hazards, equity, best practices, competency, education and training. The major contribution of this study was that it studied the topic of Korean hazmat emergency management more comprehensively than previous studies.
{"title":"Hazmat emergency management: Case of Korea","authors":"Kyoo-Man Ha","doi":"10.25303/1612da073081","DOIUrl":"https://doi.org/10.25303/1612da073081","url":null,"abstract":"The threat of hazmat has always been situated around Korea, considering that each stakeholder has carried out isolated activity in the field. This study aimed at studying how Korea must enhance its absence of a national framework for the ultimate goal of emergency management. A major methodology was qualitative content analysis by studying the topic of either without a national framework or with a national framework via Governments, industries, NGOs and local residents. The key theme was that Korea would need to fundamentally set up a national framework for hazmat emergency management while timely implementing the issues of all hazards, equity, best practices, competency, education and training. The major contribution of this study was that it studied the topic of Korean hazmat emergency management more comprehensively than previous studies.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. B. Sapkale, M.M. Mane, N.K. Susware, S. J. Sapkale
The coastline is a unique land feature formed through the interaction between land and sea. It is essential to monitor and detect hotspots and observe spatial and temporal influences of climate change in the coastal environment. Coastal landform changes can be best studied through remote sensing data. This study examines the dynamic changes in the sand spit and associated coastal area of the Shiroda coasts of Sindhudurg district. The Normalized Difference Water Index (NDWI) was used to distinguish land and water and the area was calculated by reclassifying the NDWI index of all images with two classes- land surface of sand spit and water. It was found that the spit area is decreasing seasonally at a dynamic rate. Additionally, geomorphic maps were prepared for the study area and showed disastrous changes in the coastal landforms. It is a need that coastal communities worldwide must address the challenges of coastal flooding and rising sea levels caused by climate change. Climate change is causing uneven rainfall distribution, storms and cyclones, leading to coastal erosion, flooding and landform damage. Additionally, it has a negative impact on the geomorphic features of coastlines.
{"title":"Dynamic Changes in Coastal Geomorphology of Shiroda Coasts, using Remote Sensing and GIS: An Approach to Climate Change and Coastal Disaster Risk","authors":"J. B. Sapkale, M.M. Mane, N.K. Susware, S. J. Sapkale","doi":"10.25303/1612da020032","DOIUrl":"https://doi.org/10.25303/1612da020032","url":null,"abstract":"The coastline is a unique land feature formed through the interaction between land and sea. It is essential to monitor and detect hotspots and observe spatial and temporal influences of climate change in the coastal environment. Coastal landform changes can be best studied through remote sensing data. This study examines the dynamic changes in the sand spit and associated coastal area of the Shiroda coasts of Sindhudurg district. The Normalized Difference Water Index (NDWI) was used to distinguish land and water and the area was calculated by reclassifying the NDWI index of all images with two classes- land surface of sand spit and water. It was found that the spit area is decreasing seasonally at a dynamic rate. Additionally, geomorphic maps were prepared for the study area and showed disastrous changes in the coastal landforms. It is a need that coastal communities worldwide must address the challenges of coastal flooding and rising sea levels caused by climate change. Climate change is causing uneven rainfall distribution, storms and cyclones, leading to coastal erosion, flooding and landform damage. Additionally, it has a negative impact on the geomorphic features of coastlines.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ramki Periyasamy, Kannan Ganesan, Sajimol Sundar, L. Chokkalingam, Prabhakaran Moorthy
We analysed Nagapattinam coastal zones of southeast coast of India, using Multitemporal satellite images for five equal interval of time period (i.e. 2000, 2005, 2010, 2015, 2020 and 2021). The EPR and LLR methods enumerate the maximum accretion at rates of 22.35, 17.02 m/year and maximum erosion rates of -22.82, -10.84 m/year at the study area coastal stretch. This modification is due to several disasters (like Tsunami, cyclone) and anthropogenic activities (like construction of harbours, excavation of beach sand, industrialisation of garbage dump, urbanisation and discharge of domestic sewage). The Kalman filter model forecasting the shoreline by using statistical analysis shows 242 and 236 m in 2031 and 2041 accretion and erosion of -239 and -226 m in same period. The accretion was mainly observed in Vedaranyam and Thirupoondi and erosion was observed in Tharangambadi, Nagapattinam Poompuhar, Karaikal and Thirumullaivasal region. The outcome of this research ensures to create awareness to protect our shoreline and manage our coastal zones properly with several remedial measures for the future.
{"title":"Shoreline change pattern analysis of Nagapattinam coastal stretch, Tamilnadu, India using digital shoreline analysis system (DSAS)","authors":"Ramki Periyasamy, Kannan Ganesan, Sajimol Sundar, L. Chokkalingam, Prabhakaran Moorthy","doi":"10.25303/1612da033041","DOIUrl":"https://doi.org/10.25303/1612da033041","url":null,"abstract":"We analysed Nagapattinam coastal zones of southeast coast of India, using Multitemporal satellite images for five equal interval of time period (i.e. 2000, 2005, 2010, 2015, 2020 and 2021). The EPR and LLR methods enumerate the maximum accretion at rates of 22.35, 17.02 m/year and maximum erosion rates of -22.82, -10.84 m/year at the study area coastal stretch. This modification is due to several disasters (like Tsunami, cyclone) and anthropogenic activities (like construction of harbours, excavation of beach sand, industrialisation of garbage dump, urbanisation and discharge of domestic sewage). The Kalman filter model forecasting the shoreline by using statistical analysis shows 242 and 236 m in 2031 and 2041 accretion and erosion of -239 and -226 m in same period. The accretion was mainly observed in Vedaranyam and Thirupoondi and erosion was observed in Tharangambadi, Nagapattinam Poompuhar, Karaikal and Thirumullaivasal region. The outcome of this research ensures to create awareness to protect our shoreline and manage our coastal zones properly with several remedial measures for the future.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"1157 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Old towns of south India face difficulties to cope up with morphological changes due to rapid urbanization. This research understands the morphological configuration of old Thanjavur town based on three parameters: connectivity, integration and depth of street networks from the aspect of emergency evacuation in the event of a fire disaster.UCL DepthmapX simulation and Space Syntax are used to analyze the degree of connectivity and network. Analysis for regression between connectivity and integration shows correlation value of 0.2757 (R2=0.076) in western zone. The southern zone shows a correlation value of 0.3592 (R2=0.129). The correlation value of eastern zone is 0.3975 (R2=0.158) and in northern zone it is 0.2302 (R2=0.053). Result shows low levels of intelligibility in northern and western zones of Thanjavur town which are vulnerable in the event of fire disaster evacuation.
{"title":"Vulnerability Analysis of Fire Disaster Evacuation at old Thanjavur town, India using Space Syntax Method","authors":"Ramesh Babu Natarajan, C.V. Subramanian","doi":"10.25303/1612da062072","DOIUrl":"https://doi.org/10.25303/1612da062072","url":null,"abstract":"Old towns of south India face difficulties to cope up with morphological changes due to rapid urbanization. This research understands the morphological configuration of old Thanjavur town based on three parameters: connectivity, integration and depth of street networks from the aspect of emergency evacuation in the event of a fire disaster.UCL DepthmapX simulation and Space Syntax are used to analyze the degree of connectivity and network. Analysis for regression between connectivity and integration shows correlation value of 0.2757 (R2=0.076) in western zone. The southern zone shows a correlation value of 0.3592 (R2=0.129). The correlation value of eastern zone is 0.3975 (R2=0.158) and in northern zone it is 0.2302 (R2=0.053). Result shows low levels of intelligibility in northern and western zones of Thanjavur town which are vulnerable in the event of fire disaster evacuation.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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