1. The document describes a study that used GIS and remote sensing techniques to create flood models and estimate flood hazards along the Yamuna River in Delhi, India.
2. The study analyzed satellite imagery to identify flood-prone areas, calculate the extent of flooded areas during extreme events, and assess flood risks to infrastructure, agriculture lands, and urban areas.
3. The results indicated approximately 19.5 square kilometers of land within 500 meters of the Yamuna River boundary is affected by floods, including over 2.8 square kilometers of urban settlements and 2.1 square kilometers of forest area. Thematic maps were generated to visualize the flood risk to different geographical features.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
GWP - Flood Hazard Mapping for Small Island Developing States using GIS and L...Esri UK
Due to accelerating climatic and environmental changes, flood hazard modelling and mapping is an increasingly important issue. Flood hazard mapping in developing nations is often restricted to few areas and rarely available for national-scale infrastructure risk analysis and spatial planning, as traditional modelling approaches are inherently affected by increasing uncertainties and require a large number of datasets. In this session, learn how GWP Consultants overcame this difficulty using a simple GIS-based geomorphological approach, using Samoa as a case study. LiDAR-derived high-resolution Digital Elevation Models and ArcGIS analysis techniques were used to model and map flood hazards. Hear how Collector was used to assist with field activities (validating GIS-based flood hazard products and producing a drainage infrastructure database), significantly reducing time inputs. ArcGIS Online platform capabilities were used to deliver flood hazard products and improve risk communication to relevant stakeholders, including the Government of Samoa, World Bank, and United Nations Development Programme.
Remote sensing and GIS techniques can contribute significantly to groundwater modeling efforts. Remote sensing provides spatial data on land cover, vegetation, rainfall, and terrain that are important model inputs. GIS allows integration of diverse data layers, conceptualization of recharge/discharge areas, and output visualization. However, remote sensing has limitations, such as an inability to directly measure groundwater levels or recharge. Overall, combining remote sensing, GIS, and field data can improve conceptual models and produce more accurate modeling results for groundwater management.
This document discusses the various applications of geographic information systems (GIS). It begins by introducing GIS and its capabilities, such as data input, management, analysis and modeling. It then examines 10 specific applications of GIS: 1) geological mapping, 2) mining and mineral exploration, 3) groundwater exploration, 4) environmental analysis, 5) disaster management, 6) transportation systems, 7) demographic analysis, 8) agricultural development, 9) forestry, and 10) tourism. For each application, it provides details on how GIS is used to input, store, analyze and output geospatial data to support decision making in that domain.
This document discusses the various applications of geographic information systems (GIS). It begins by introducing GIS and its capabilities, such as data input, management, analysis and modeling. It then examines 10 specific applications of GIS: 1) geological mapping, 2) mining and mineral exploration, 3) groundwater exploration, 4) environmental analysis, 5) disaster management, 6) transportation systems, 7) demographic analysis, 8) agricultural development, 9) forestry, and 10) tourism. For each application, it provides details on how GIS is used to analyze spatial data, facilitate decision making, and support planning and management activities.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
GWP - Flood Hazard Mapping for Small Island Developing States using GIS and L...Esri UK
Due to accelerating climatic and environmental changes, flood hazard modelling and mapping is an increasingly important issue. Flood hazard mapping in developing nations is often restricted to few areas and rarely available for national-scale infrastructure risk analysis and spatial planning, as traditional modelling approaches are inherently affected by increasing uncertainties and require a large number of datasets. In this session, learn how GWP Consultants overcame this difficulty using a simple GIS-based geomorphological approach, using Samoa as a case study. LiDAR-derived high-resolution Digital Elevation Models and ArcGIS analysis techniques were used to model and map flood hazards. Hear how Collector was used to assist with field activities (validating GIS-based flood hazard products and producing a drainage infrastructure database), significantly reducing time inputs. ArcGIS Online platform capabilities were used to deliver flood hazard products and improve risk communication to relevant stakeholders, including the Government of Samoa, World Bank, and United Nations Development Programme.
Remote sensing and GIS techniques can contribute significantly to groundwater modeling efforts. Remote sensing provides spatial data on land cover, vegetation, rainfall, and terrain that are important model inputs. GIS allows integration of diverse data layers, conceptualization of recharge/discharge areas, and output visualization. However, remote sensing has limitations, such as an inability to directly measure groundwater levels or recharge. Overall, combining remote sensing, GIS, and field data can improve conceptual models and produce more accurate modeling results for groundwater management.
This document discusses the various applications of geographic information systems (GIS). It begins by introducing GIS and its capabilities, such as data input, management, analysis and modeling. It then examines 10 specific applications of GIS: 1) geological mapping, 2) mining and mineral exploration, 3) groundwater exploration, 4) environmental analysis, 5) disaster management, 6) transportation systems, 7) demographic analysis, 8) agricultural development, 9) forestry, and 10) tourism. For each application, it provides details on how GIS is used to input, store, analyze and output geospatial data to support decision making in that domain.
This document discusses the various applications of geographic information systems (GIS). It begins by introducing GIS and its capabilities, such as data input, management, analysis and modeling. It then examines 10 specific applications of GIS: 1) geological mapping, 2) mining and mineral exploration, 3) groundwater exploration, 4) environmental analysis, 5) disaster management, 6) transportation systems, 7) demographic analysis, 8) agricultural development, 9) forestry, and 10) tourism. For each application, it provides details on how GIS is used to analyze spatial data, facilitate decision making, and support planning and management activities.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
DSD-SEA 2019 Seasonal drought forecasting using state-of-the-art hydro softwa...Deltares
Presentation by Mr. Irfan Sudono, MT Research Center for Water Resources – Ministry of Public Works and Housing (Indonesia) at the Seminar Hydro Software to support policy development and real-time decision making, during the Deltares Software Days South-East Asia 2019. Wednesday, 27 November 2019, Bangkok.
Remote sensing uses instruments like satellites to acquire information about the Earth that can help with disaster management. Geographic information systems (GIS) are computer tools that analyze geographic features and spatially referenced data. Together, remote sensing and GIS can map vulnerable areas, track disasters over time, and help with emergency response by identifying shelter locations and distributing relief effectively. A case study on a 2013 cyclone in India demonstrated how remote sensing data from multiple dates was analyzed in a GIS to monitor the storm and support disaster risk reduction activities.
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17indiawrm
This document discusses the use of satellite remote sensing for hydrology and water management applications. It provides examples of how satellite data can be used to monitor surface water bodies, snow cover, soil moisture, precipitation and other variables. It also describes how satellite data has been used to assess irrigation potential, monitor irrigation tanks and reservoirs, model hydrology and forecast flooding. The satellite data provides valuable information to support water resources management.
GIS Based Semi Automated Extraction of Sites for Artificial Rechargeresearchinventy
This document describes a methodology for developing a GIS-based semi-automated model to extract suitable sites for artificial groundwater recharge. The model incorporates seven geosystem variables - lithology, lineament density, depth to bedrock, geomorphology, slope, drainage density, and water level - as spatial GIS databases. These are classified as favorable or unfavorable for recharge. The variables are overlaid and integrated to prioritize areas based on the number of favorable variables coinciding. Suitable recharge sites are then identified by selecting areas within the highest priority zones that also have deep water levels. The methodology and software tool developed could help identify recharge sites more quickly to support emergency response or drought management.
The document summarizes the Tamilnadu Hydrology Project-II. It provides details on achievements of the project including institutional strengthening through equipment procurement and capacity building. It discusses the development of decision support systems in 3 basins, including setting up hydrological models. Challenges faced and plans for utilizing outputs post-project are also outlined. Financial status and plans for utilizing the remaining budget are presented.
The document discusses using GIS for a bridge inventory project for the City of New Haven, CT. Key project elements included collecting location and condition data for bridges during site visits, developing a database and summary reports, prioritizing bridges, and delivering the results in a digital map format to help the city manage its bridge infrastructure. The GIS approach integrated data on bridge locations, conditions and priorities to provide a comprehensive inventory and assessment tool.
Delineation of irrigation infrastructural, potential and land useIAEME Publication
This study assessed irrigation infrastructure in Muzaffarnagar district, India using satellite imagery. The main canals are Tikri Branch, Nirpura Branch, and Kurthal Branch, with several minor canals branching off. Satellite imagery was used to measure canal lengths and compare to official data. Most canal lengths matched well, but Gadidbra minor was found to be shorter than officially reported. Irrigation potentials were also estimated and found to match closely with official data, except for Gadidbra minor which had lower potential than expected due to its shorter length. Land use/land cover of the study area was classified, finding agricultural land covers 48.64% of the total area.
This document discusses the use of geographic information systems (GIS) in water resource management and assessment. It provides examples of GIS applications in watershed management, groundwater assessment, flood management, and water quality studies. It then describes a case study that developed a GIS-based decision support system to assess watershed runoff in the Kk3 Macro Watershed in India. Key steps included delineating sub-watersheds, creating soil and land use maps, determining hydrologic response units, computing runoff, and generating thematic runoff maps. The system allows users to update rainfall data and evaluate variations in spatial runoff distribution over time.
1. The document discusses how GIS can be used to aid in selecting optimal routes for transcontinental natural gas pipelines by analyzing cost and environmental factors.
2. GIS specialists use data to evaluate potential routes and determine the most suitable path between starting and ending points.
3. A case study found that routes developed using GIS facilitated greater cost reductions than manually developed routes.
Applications of GIS in Municipal Solid Waste ManagementVignesh Sekar
Geographic Information System (GIS) is used to input, store, retrieve, manipulate, analyze and output geographically referenced data. In order to support decision making for planning and management of land use, natural resources, environment, transportation, urban facilities, and other administrative records.The Role of GIS is very large as many aspects of its planning and operations are highly dependent on spatial data & also provides a digital data bank for future monitoring program of the site…….etc
Flooding is an annual issue in Thailand, especially in the central region around the Chao Phraya River Basin. The worst flooding in the last 50 years occurred in 2011, causing an estimated $46.5 billion in economic losses. Spatial data from various sources such as satellite imagery, sensor data, and digital elevation models were used to monitor and manage the 2011 floods. However, communication problems led to public confusion. Since then, Thailand has developed new flood monitoring and warning tools, including a National Hydroinformatics and Climate Data Center to better centralize data and inform the public.
This document discusses flood modelling and prediction in Kerala using GIS and remote sensing. It provides background on Kerala's geography and climate, which causes frequent flooding. It then describes how GIS and remote sensing tools like digital elevation models, land use data, and rainfall data can be used as inputs to model flood inundation areas and predict future flooding. The outputs of these models, like flood extent maps, can help with disaster management and planning flood prevention measures.
This document summarizes a remote sensing project for water resource management in agriculture in Jordan. The project aims to utilize satellite data and remote sensing to produce crop maps, calculate net crop water requirements, and assess water productivity. Key steps include analyzing satellite images using software to identify cloud cover and extract vegetation indices, validating results with field trips, and cooperating with various partners in Jordan on data processing and analysis to support water management goals. The expected outcomes are increased regional knowledge sharing, capacity building, and research on remote sensing applications for agriculture and water resources.
Spatial data thailand flood 2011 masterclass apan37 bandung vtVeerachai Tanpipat
The document discusses spatial data and tools used in Thailand during the 2011 flood event. Various data sources were utilized including vector and raster data from satellites, aerial imagery from drones, and telemetry from sensors. Following the floods, monitoring and warning systems were improved with a centralized hydroclimate database, updated websites and mobile apps, and increased international collaboration. Real-time satellite data is now downloaded daily through the APAN network for flood monitoring and modeling.
EXPLORE EARTH by John J. Murray | TROPICS Applications Workshop II, February ...Helen Gynell
The document discusses NASA's Earth Science Disasters Program and its efforts to promote the use of Earth observations to improve disaster prediction, preparedness, response, and recovery. It focuses on expanding partnerships to implement innovative Earth observation capabilities and develop decision-ready products. Examples are given of research projects funded by NASA that utilize remote sensing data and modeling to assess flood risk and impacts, monitor wildfires, and model fire behavior and smoke dispersion.
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
Geospatial Technologies for Groundwater Management in Aurangabad CityIJERA Editor
This document discusses using geospatial technologies to map groundwater resources in Aurangabad City, India to aid in water management. Key points:
- Groundwater resources in the city are mapped using KML on Google Earth, identifying locations of bore wells and detailing water availability.
- Three random points are analyzed to estimate groundwater availability based on distances to known water sources and assumed weights for availability.
- The resources are divided into zones of high, medium, and low availability to better understand spatial distribution and aid decision making.
Application of RS and GIS in Groundwater Prospects ZonationVishwanath Awati
This document discusses using remote sensing and GIS techniques to map groundwater prospects zones. It presents a case study of applying these methods in Bata Valley, Himachal Pradesh, India. The methodology involves developing thematic maps of factors like geology, land use, and water levels. These maps are then overlaid and analyzed in GIS to identify zones of good, moderate, or poor groundwater potential. The study concludes these techniques can effectively map groundwater prospects and inform management plans.
Nhst 11 surat, Application of RS & GIS in urban waste managementSamirsinh Parmar
This document discusses the application of remote sensing (RS) and geographic information systems (GIS) to improve solid waste management in urban areas. It presents a case study of Ward Vijay Colony in Dehradun, India. RS and GIS were used to generate spatial data and maps of the study area, estimate current and projected waste generation levels, identify existing waste collection sites, and propose new optimal locations for waste bins based on accessibility and coverage. The analysis found RS and GIS to be effective tools for planning waste management infrastructure and assessing current resource utilization to help local governments improve services.
1) Geographic Information Systems (GIS) allow users to visualize and analyze spatial data by linking geographical features to tabular data.
2) Pioneered in the 1960s, GIS has since become a valuable tool for epidemiology by allowing disease data to be mapped and analyzed in relation to environmental, demographic, and other spatial factors.
3) Key functions of GIS in spatial epidemiology include disease mapping, cluster detection, and risk analysis to better understand patterns and associations between disease occurrence and location.
Flood Inundation Mapping(FIM) and Climate Change Impacts(CCI) using Simulatio...IRJET Journal
This document reviews studies on flood inundation mapping using simulation models and GIS. It categorizes past studies from 2000-2023 into groups including input data, digital elevation models, coupling hydrological and hydraulic models, calibration and validation, flood frequency analysis, land use impacts, risk assessment, and climate change impacts. Specific studies are discussed that used data like global gridded rainfall and soil datasets as inputs. Digital elevation models from sources like SRTM were used to represent topography. Models like HEC-HMS and HEC-RAS were coupled for hydrological and hydraulic simulation. Studies evaluated calibration and validation of models as well as sensitivity. Flood risks and impacts of land use and climate change were also assessed.
URBAN FLOOD SUSCEPTIBILITY MAP OF CHENNAI - GIS AND RANDOM FOREST METHODIRJET Journal
This document summarizes a study that created an urban flood susceptibility map of Chennai, India using GIS and the random forest machine learning method. Eleven factors like elevation, land use, rainfall, and distance from rivers were used as inputs to the random forest model. 300 historic flood locations and 300 non-flood locations were collected and used to train and test the model. The random forest model achieved 95.5% accuracy in predicting flood locations. The output was used to classify the study area into low and high flood susceptibility zones to assist with flood management and mitigation.
DSD-SEA 2019 Seasonal drought forecasting using state-of-the-art hydro softwa...Deltares
Presentation by Mr. Irfan Sudono, MT Research Center for Water Resources – Ministry of Public Works and Housing (Indonesia) at the Seminar Hydro Software to support policy development and real-time decision making, during the Deltares Software Days South-East Asia 2019. Wednesday, 27 November 2019, Bangkok.
Remote sensing uses instruments like satellites to acquire information about the Earth that can help with disaster management. Geographic information systems (GIS) are computer tools that analyze geographic features and spatially referenced data. Together, remote sensing and GIS can map vulnerable areas, track disasters over time, and help with emergency response by identifying shelter locations and distributing relief effectively. A case study on a 2013 cyclone in India demonstrated how remote sensing data from multiple dates was analyzed in a GIS to monitor the storm and support disaster risk reduction activities.
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17indiawrm
This document discusses the use of satellite remote sensing for hydrology and water management applications. It provides examples of how satellite data can be used to monitor surface water bodies, snow cover, soil moisture, precipitation and other variables. It also describes how satellite data has been used to assess irrigation potential, monitor irrigation tanks and reservoirs, model hydrology and forecast flooding. The satellite data provides valuable information to support water resources management.
GIS Based Semi Automated Extraction of Sites for Artificial Rechargeresearchinventy
This document describes a methodology for developing a GIS-based semi-automated model to extract suitable sites for artificial groundwater recharge. The model incorporates seven geosystem variables - lithology, lineament density, depth to bedrock, geomorphology, slope, drainage density, and water level - as spatial GIS databases. These are classified as favorable or unfavorable for recharge. The variables are overlaid and integrated to prioritize areas based on the number of favorable variables coinciding. Suitable recharge sites are then identified by selecting areas within the highest priority zones that also have deep water levels. The methodology and software tool developed could help identify recharge sites more quickly to support emergency response or drought management.
The document summarizes the Tamilnadu Hydrology Project-II. It provides details on achievements of the project including institutional strengthening through equipment procurement and capacity building. It discusses the development of decision support systems in 3 basins, including setting up hydrological models. Challenges faced and plans for utilizing outputs post-project are also outlined. Financial status and plans for utilizing the remaining budget are presented.
The document discusses using GIS for a bridge inventory project for the City of New Haven, CT. Key project elements included collecting location and condition data for bridges during site visits, developing a database and summary reports, prioritizing bridges, and delivering the results in a digital map format to help the city manage its bridge infrastructure. The GIS approach integrated data on bridge locations, conditions and priorities to provide a comprehensive inventory and assessment tool.
Delineation of irrigation infrastructural, potential and land useIAEME Publication
This study assessed irrigation infrastructure in Muzaffarnagar district, India using satellite imagery. The main canals are Tikri Branch, Nirpura Branch, and Kurthal Branch, with several minor canals branching off. Satellite imagery was used to measure canal lengths and compare to official data. Most canal lengths matched well, but Gadidbra minor was found to be shorter than officially reported. Irrigation potentials were also estimated and found to match closely with official data, except for Gadidbra minor which had lower potential than expected due to its shorter length. Land use/land cover of the study area was classified, finding agricultural land covers 48.64% of the total area.
This document discusses the use of geographic information systems (GIS) in water resource management and assessment. It provides examples of GIS applications in watershed management, groundwater assessment, flood management, and water quality studies. It then describes a case study that developed a GIS-based decision support system to assess watershed runoff in the Kk3 Macro Watershed in India. Key steps included delineating sub-watersheds, creating soil and land use maps, determining hydrologic response units, computing runoff, and generating thematic runoff maps. The system allows users to update rainfall data and evaluate variations in spatial runoff distribution over time.
1. The document discusses how GIS can be used to aid in selecting optimal routes for transcontinental natural gas pipelines by analyzing cost and environmental factors.
2. GIS specialists use data to evaluate potential routes and determine the most suitable path between starting and ending points.
3. A case study found that routes developed using GIS facilitated greater cost reductions than manually developed routes.
Applications of GIS in Municipal Solid Waste ManagementVignesh Sekar
Geographic Information System (GIS) is used to input, store, retrieve, manipulate, analyze and output geographically referenced data. In order to support decision making for planning and management of land use, natural resources, environment, transportation, urban facilities, and other administrative records.The Role of GIS is very large as many aspects of its planning and operations are highly dependent on spatial data & also provides a digital data bank for future monitoring program of the site…….etc
Flooding is an annual issue in Thailand, especially in the central region around the Chao Phraya River Basin. The worst flooding in the last 50 years occurred in 2011, causing an estimated $46.5 billion in economic losses. Spatial data from various sources such as satellite imagery, sensor data, and digital elevation models were used to monitor and manage the 2011 floods. However, communication problems led to public confusion. Since then, Thailand has developed new flood monitoring and warning tools, including a National Hydroinformatics and Climate Data Center to better centralize data and inform the public.
This document discusses flood modelling and prediction in Kerala using GIS and remote sensing. It provides background on Kerala's geography and climate, which causes frequent flooding. It then describes how GIS and remote sensing tools like digital elevation models, land use data, and rainfall data can be used as inputs to model flood inundation areas and predict future flooding. The outputs of these models, like flood extent maps, can help with disaster management and planning flood prevention measures.
This document summarizes a remote sensing project for water resource management in agriculture in Jordan. The project aims to utilize satellite data and remote sensing to produce crop maps, calculate net crop water requirements, and assess water productivity. Key steps include analyzing satellite images using software to identify cloud cover and extract vegetation indices, validating results with field trips, and cooperating with various partners in Jordan on data processing and analysis to support water management goals. The expected outcomes are increased regional knowledge sharing, capacity building, and research on remote sensing applications for agriculture and water resources.
Spatial data thailand flood 2011 masterclass apan37 bandung vtVeerachai Tanpipat
The document discusses spatial data and tools used in Thailand during the 2011 flood event. Various data sources were utilized including vector and raster data from satellites, aerial imagery from drones, and telemetry from sensors. Following the floods, monitoring and warning systems were improved with a centralized hydroclimate database, updated websites and mobile apps, and increased international collaboration. Real-time satellite data is now downloaded daily through the APAN network for flood monitoring and modeling.
EXPLORE EARTH by John J. Murray | TROPICS Applications Workshop II, February ...Helen Gynell
The document discusses NASA's Earth Science Disasters Program and its efforts to promote the use of Earth observations to improve disaster prediction, preparedness, response, and recovery. It focuses on expanding partnerships to implement innovative Earth observation capabilities and develop decision-ready products. Examples are given of research projects funded by NASA that utilize remote sensing data and modeling to assess flood risk and impacts, monitor wildfires, and model fire behavior and smoke dispersion.
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
Geospatial Technologies for Groundwater Management in Aurangabad CityIJERA Editor
This document discusses using geospatial technologies to map groundwater resources in Aurangabad City, India to aid in water management. Key points:
- Groundwater resources in the city are mapped using KML on Google Earth, identifying locations of bore wells and detailing water availability.
- Three random points are analyzed to estimate groundwater availability based on distances to known water sources and assumed weights for availability.
- The resources are divided into zones of high, medium, and low availability to better understand spatial distribution and aid decision making.
Application of RS and GIS in Groundwater Prospects ZonationVishwanath Awati
This document discusses using remote sensing and GIS techniques to map groundwater prospects zones. It presents a case study of applying these methods in Bata Valley, Himachal Pradesh, India. The methodology involves developing thematic maps of factors like geology, land use, and water levels. These maps are then overlaid and analyzed in GIS to identify zones of good, moderate, or poor groundwater potential. The study concludes these techniques can effectively map groundwater prospects and inform management plans.
Nhst 11 surat, Application of RS & GIS in urban waste managementSamirsinh Parmar
This document discusses the application of remote sensing (RS) and geographic information systems (GIS) to improve solid waste management in urban areas. It presents a case study of Ward Vijay Colony in Dehradun, India. RS and GIS were used to generate spatial data and maps of the study area, estimate current and projected waste generation levels, identify existing waste collection sites, and propose new optimal locations for waste bins based on accessibility and coverage. The analysis found RS and GIS to be effective tools for planning waste management infrastructure and assessing current resource utilization to help local governments improve services.
1) Geographic Information Systems (GIS) allow users to visualize and analyze spatial data by linking geographical features to tabular data.
2) Pioneered in the 1960s, GIS has since become a valuable tool for epidemiology by allowing disease data to be mapped and analyzed in relation to environmental, demographic, and other spatial factors.
3) Key functions of GIS in spatial epidemiology include disease mapping, cluster detection, and risk analysis to better understand patterns and associations between disease occurrence and location.
Flood Inundation Mapping(FIM) and Climate Change Impacts(CCI) using Simulatio...IRJET Journal
This document reviews studies on flood inundation mapping using simulation models and GIS. It categorizes past studies from 2000-2023 into groups including input data, digital elevation models, coupling hydrological and hydraulic models, calibration and validation, flood frequency analysis, land use impacts, risk assessment, and climate change impacts. Specific studies are discussed that used data like global gridded rainfall and soil datasets as inputs. Digital elevation models from sources like SRTM were used to represent topography. Models like HEC-HMS and HEC-RAS were coupled for hydrological and hydraulic simulation. Studies evaluated calibration and validation of models as well as sensitivity. Flood risks and impacts of land use and climate change were also assessed.
URBAN FLOOD SUSCEPTIBILITY MAP OF CHENNAI - GIS AND RANDOM FOREST METHODIRJET Journal
This document summarizes a study that created an urban flood susceptibility map of Chennai, India using GIS and the random forest machine learning method. Eleven factors like elevation, land use, rainfall, and distance from rivers were used as inputs to the random forest model. 300 historic flood locations and 300 non-flood locations were collected and used to train and test the model. The random forest model achieved 95.5% accuracy in predicting flood locations. The output was used to classify the study area into low and high flood susceptibility zones to assist with flood management and mitigation.
FLOOD FREQUENCY ANALYSIS FOR RIVER GAUGING STATION OF MEENACHIL RIVER, KOTTAY...IRJET Journal
This document summarizes a study that performed flood frequency analysis on the Meenachil River in India. Four statistical techniques (Generalized Extreme Value, Log Pearson III, Gumbel Max, and Gaussian distribution) were evaluated to estimate flood peaks with return periods of 2, 10, 50, and 100 years using 34 years of daily discharge data from the Kidangoor gauging station. Goodness-of-fit tests indicated that the Gumbel Max distribution provided the best fit, followed by Log Pearson III, Generalized Extreme Value, and Gaussian distributions. The analysis found that the Gumbel Max distribution is suitable for predicting expected flood flows in the Meenachil River based on return period.
Flood is one of the natural disaster known to be part of the earth biophysical processes, which its occurrence can be devastating; due to mostly anthropogenic activities and climatological factors. The aim of the research is to identify and map the extent at which the impact of flood due to intense rainfall and rise in water in the study area using geospatial techniques and the specific objectives are to carry out terrain analysis of the study area and to generate flood indicator maps of the study area. The study analyzed rain fall data;, the drainage system and Shuttle Radar Topographic Mission (SRTM 30m) of the area. ArcGIS 10.8 was to modelled and to generate the contributing factors map of the study area. The drainage system was generated through on-screen digitization of topographic map of scale 1:50,000 of Ondo South-West. The mean annual rainfall of Lagos State was generated in the ArcGIS environment from the rainfall data through spatial analysis tool. The SRTM was used in terrain analysis of the study area. The results generated showed the lowest mean annual rain fall of the area 1,700mm and the highest mean annual rain fall was 2,440mm. Digital elevation model (DEM), slope, flow direction were generated from the SRTM. Drainage density of the area was generated using the drainage system. The slope map of the entire area which are classified into five slope classes of very high (14%-48.5%) to high (7.6%-13.9%) to moderately high (4.2%-7.6%) to low (1.5%-4.2%) and very low (0. % - 1.2%).
Mapping of Flood Analysis using GIS in Mettur River BasinIRJET Journal
This document summarizes a study that used GIS to map flood risk zones in the Mettur River Basin in India. The researchers created digital maps of factors like soil, slope, geology and geomorphology from satellite imagery in ArcGIS. They analyzed and ranked these factors based on their contribution to flooding risk. The maps were then overlaid to determine composite flood risk zones - very low, low, medium, high and very high risk. This identified the areas most prone to flooding in the basin to help decision-makers implement effective flood response and hazard mitigation. The study demonstrated that GIS is a cost-effective tool for flood monitoring and management by producing risk maps from available spatial data.
Remote Sensing Method for Flood Management SystemIJMREMJournal
Flood occurred when heavy and continuous rainfall exceeding the absorptive capacity of soil and the flow
capacity of rivers, streams, and coastal areas. Land areas that are most subjected to floods are areas situated
adjacent to rivers and streams, that are known as floodplain and therefore considered as “flood-prone”. These
areas are hazardous to development activities if the vulnerability of those activities exceeds an acceptable level.
The main objectives of this study are; to identify floodplains and other susceptible areas, and to assess the
extent of disaster impact in the study area which is located at Kota Tinggi, Johor, Malaysia. This area
experienced an unprecedented flood during December of 2006 to January of 2007.Questions such as how often
and how long the floodplain will be covered by water, and at what time of year flooding can be expected need to
be answered. Thus, an understanding of the dynamic nature of floodplains is greatly required. Multi-temporal
Radarsat-1images, Landsat ETM+ image, topographical maps and land use maps were used in this study for
the purpose of delineating the flood extend before, during and after the flood event. DEM acquired from
topographic map is used to derive flood depth. The final outputs of this study are flood extent and flood depth
maps where both of these maps show the impact of the flood to environment, lives and properties. This map is
also important and can be applied to develop a comprehensive relief effort immediately after flooding.
Flooding is one of the most devastating natural
disasters in Nigeria. The impact of flooding on human activities
cannot be overemphasized. It can threaten human lives, their
property, environment and the economy. Different techniques
exist to manage and analyze the impact of flooding. Some of these
techniques have not been effective in management of flood
disaster. Remote sensing technique presents itself as an effective
and efficient means of managing flood disaster. In this study,
SPOT-10 image was used to perform land cover/ land use
classification of the study area. Advanced Space borne Thermal
Emission and Reflection Radiometer (ASTER) image of 2010 was
used to generate the Digital Elevation Model (DEM). The image
focal statistics were generated using the Spatial Analyst/
Neighborhood/Focal Statistics Tool in ArcMap. The contour map
was produced using the Spatial Analyst/ Surface/ Contour Tools.
The DEM generated from the focal statistics was reclassified into
different risk levels based on variation of elevation values. The
depression in the DEM was filled and used to create the flow
direction map. The flow accumulation map was produced using
the flow direction data as input image. The stream network and
watershed were equally generated and the stream vectorized. The
reclassified DEM, stream network and vectorized land cover
classes were integrated and used to analyze the impact of flood on
the classes. The result shows that 27.86% of the area studied will
be affected at very high risk flood level, 35.63% at high risk,
17.90% at moderate risk, 10.72% at low risk, and 7.89% at no
risk flood level. Built up area class will be mostly affected at very
high risk flood level while farmland will be affected at high risk
flood level. Oshoro, Imhekpeme, and Weppa communities will be
affected at very high risk flood inundation while Ivighe, Uneme,
Igoide and Iviari communities will be at risk at high risk flood
inundation level. It is recommended among others that buildings
that fall within the “Very High Risk” area should be identified
and occupants possibly relocated to other areas such as the “No
Risk” area.
Floodplain Modelling Materials and MethodologyIDES Editor
A floodplain is the normally dry land area adjoining
river or stream that is inundated during flood events. The
most common reason for flooding could be overtopping of river
or stream due to heavy downfall. The floodplain carries flow
in excess of the river or stream capacity. Flood frequency and
flood water-surface elevations are the crucial components for
the evaluation of flood hazard. This paper presents the
methodology that incorporates advanced technologies for
hydrologic and hydraulic analyses that are needed to be carried
out to predict the flood water-surface elevations for any
ungaged watershed.
Review Paper for floodplain mapping with applications of HEC-HMS, HEC-RAS and...IRJET Journal
This document reviews previous research on floodplain mapping that utilized various software tools and methods. It categorizes the previous studies into three categories: flood frequency analysis methods, digital elevation models used, and software tools applied. Several studies are summarized that used different combinations of tools like HEC-HMS, HEC-RAS, and ArcGIS to model floodplains and generate inundation maps. The document provides these summaries to help new users understand which approaches have been effective for floodplain mapping.
Inundation and Hazard Mapping on River Asa, using GISOyeniyi Samuel
This document discusses using GIS to create inundation and hazard maps of River Asa in Ilorin, Nigeria. Land use maps from 1976-2004 were digitized and analyzed, showing increases in built up area and cultivation over time. A digital elevation model was generated from contour lines. Rainfall data from 1984-2013 showed more years exceeding 100mm annually in later periods. Floodplains were mapped based on land use, rainfall, elevation, and slope data. Discharge values were calculated for return periods up to 200 years. The 50-year discharge value was used with GIS, HEC-RAS, and HEC-GeoRAS to produce an inundation map of areas at risk of flooding
IRJET- Estimation of Surface Runoff using Curve Number Method- A Geospatial A...IRJET Journal
This document describes a study that used the Curve Number method and GIS techniques to estimate surface runoff in the KCAET Campus area of Malappuram district, Kerala, India. Land use maps from 2006 and 2018 were digitized from satellite imagery and soil data was collected to determine hydrologic soil groups. Curve numbers were assigned based on land use and soil type to calculate runoff potential. Rainfall data from 2004-2007, 2018-2019 was analyzed. Results found 28.5% of the area has high runoff potential, 33.7% medium, and 37.7% low. Annual rainfall-runoff varied from 16-23%. Curve numbers were 57.77 and 58.95 for 2006 and
Floods are the most common natural disasters globally, affecting over 2 billion people between 1998-2017. When floods occur in inhabited areas, they cause immediate disruption to transportation and damage to infrastructure. In the long-term, flood waters remaining for long periods pose health hazards and delays in restoring infrastructure. As wide-ranging events, floods disrupt society from days to years by damaging homes, crops, and isolating communities. Satellite imagery and cloud computing can be used to automatically map flood extent and exposure of populations and agriculture. While providing timely information, these methods have limitations and cannot determine flood intensities needed for infrastructure planning.
Challenges in global flood hazard mappingIRJET Journal
This document summarizes research on challenges in global flood hazard mapping. It discusses how global flood hazard assessment and resilience have become important due to climate change and human development impacting natural river flows. Global modeling of flood hazards requires large-scale hydrological models using global hydro-meteorological data and accounting for infrastructure. The document reviews studies using models like the Global Flood Awareness System (GloFAS) and reanalysis datasets to produce global flood hazard maps. It evaluates challenges in the availability of observational data and limitations of current models. Improving spatial and temporal resolution of satellite data and hydrological datasets is needed to better simulate floods globally.
Determination of safe grade elevation by using hec ras case study mutha rivereSAT Journals
Abstract
Flood is a naturally occurring disastrous event causing damages, losses and destruction to property, life and environment.
Hundred millions of money are spent every year in flood control and flood forecasting. For construction of any structure near
by a water body or in between a water body and for determination of safe levels of construction to protect structure from
flood water, safe grade elevation is required.
In order to evaluate or estimate, mitigate and handle the floods, the present paper presents a methodology for assessment of flood
line to produce safe grade elevation by using River Analysis System made by Hydrologic Engineering Center (HEC-RAS)
software which is predominately used in the field of hydraulic analysis for floodplain delineation. The general parameter affecting
flood is runoff gauge, discharge, rainfall and land use as spatial data. This paper explains the use of the HEC-RAS for producing
the safe grade elevation for Mutha River from its origin at downstream side of Kadakwasla dam till Mahtre Bridge. It explains the
methodology to construct a table model and how to validate it. The methodology developed can be applied for regions if only
predominant factors affecting the flood in that region is consider, to decide the best economical safe grade elevation for the
building or structure near or on the river and would help in planning priorities prerequisites for managing flood efficiently.
Keywords: Safe Grade elevation, Parameters, Mutha River, Flood, spatial data, Zoning
Determination of safe grade elevation by using hec ras case study mutha rivereSAT Journals
Abstract
Flood is a naturally occurring disastrous event causing damages, losses and destruction to property, life and environment.
Hundred millions of money are spent every year in flood control and flood forecasting. For construction of any structure near
by a water body or in between a water body and for determination of safe levels of construction to protect structure from
flood water, safe grade elevation is required.
In order to evaluate or estimate, mitigate and handle the floods, the present paper presents a methodology for assessment of flood
line to produce safe grade elevation by using River Analysis System made by Hydrologic Engineering Center (HEC-RAS)
software which is predominately used in the field of hydraulic analysis for floodplain delineation. The general parameter affecting
flood is runoff gauge, discharge, rainfall and land use as spatial data. This paper explains the use of the HEC-RAS for producing
the safe grade elevation for Mutha River from its origin at downstream side of Kadakwasla dam till Mahtre Bridge. It explains the
methodology to construct a table model and how to validate it. The methodology developed can be applied for regions if only
predominant factors affecting the flood in that region is consider, to decide the best economical safe grade elevation for the
building or structure near or on the river and would help in planning priorities prerequisites for managing flood efficiently.
Keywords: Safe Grade elevation, Parameters, Mutha River, Flood, spatial data, Zoning.
Application Of Deep Learning On UAV-Based Aerial Images For Flood DetectionTodd Turner
This document discusses using deep learning techniques on aerial images captured by UAVs to detect floods in near real-time. The key points are:
1) UAVs can capture high-resolution images faster than satellites and do not require internet connectivity, overcoming issues with current flood detection methods.
2) A case study tested detecting buildings and roads from UAV images using Haar cascade classification, achieving 91% and 94% accuracy.
3) A deep learning model was trained on the detected landmarks to classify images as flooded or non-flooded, achieving an overall accuracy of 91%.
IRJET- Estimation of Hydrological and Hydraulics Parameters for Bridge De...IRJET Journal
This document summarizes the hydrological and hydraulic parameters estimation for bridge design over the Mutha River in Pune, India. ArcGIS software was used to delineate catchments and estimate physiographic parameters. The peak flood discharge for a 100-year return period was estimated to be 800.806 cubic meters per second using the rational method. A 1D HEC-RAS model with steady state condition was used for flood routing. The highest flood level at the proposed bridge location was estimated to be 554.57 meters.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This academic paper describes using GIS techniques to map flood risk areas in the Lower Panjshir sub river basin of Afghanistan. The study integrated data on slope, rainfall, roads, population density, land use and elevation to identify areas at high, medium and low risk of flooding. The results showed 11484.09 hectares at high risk, 37339 hectares at medium risk and 31589 hectares at low risk. The flood risk map can help decision-makers implement mitigation measures and better manage land use to reduce flood impacts.
DEM-based Methods for Flood Risk Mapping at Large ScaleSalvatore Manfreda
Oral presentation given during the meeting "Valutazione e Gestione del Rischio Alluvioni – Governance del territorio e contributo del mondo scientifico" of the project "Mettiamoci in Riga"
Similar to IRJET- Preparation of Flood Model and Hazard Estimation on Yamuna River (using GIS and Remote Sensing) (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.