The document analyzes the interdependence of weather parameters like temperature, rainfall, and humidity in Kerala, India over the past 50 years using SPSS software. Data on the three parameters was collected from 14 weather stations in Kerala and their average monthly values were analyzed. Graphs were made showing daily fluctuations over 50 years for each parameter. Correlation between the parameters was calculated using SPSS to find a regression equation linking them. Temperature and humidity were found to be major indicators of maximum rainfall according to the regression equation developed using statistical methods.
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...IAEME Publication
Rainfall and temperature are important parameters that determine the climatic condition
of a region andis a growing concern in the current situation. Growing industrialization and
increasing use of fossil fuels are putting pressure and effecting the regional and global
temperatures that are subsequently influencing the overall precipitation levels. GCC and Arab
countries are mostly dominated by dry climate and hot winds for most part of the year with
little or no rainfall in most regions. In Middle east, specifically GCC countries economy
depends on oil and gas production, processing, and exports, and these resources are used for
electricity generation across all the six countries. This practice invariably is releasing more of
greenhouse gases coupled with industrial emissions annually from industrialized zones.
Among the six GCC nations, Oman has the second largest land area next to Saudi Arabia and
has significant quantities of oil and gas resources and limited ground water resources.
Scarcity of ground water poses serious problems for farming and potable water that cannot be
supported by scanty or less rainfall annually. In absence of considerable data on rainfall
pattern and temperature deviations, this paper is focused to highlight the rainfall scenario over
temperature changes by studying the rainfall patterns over three designated regions for a
certain duration. In Oman rainfall patterns and temperatures are stimulated by the weather
changes and mostly by heavy industrialization in the recent past. Precipitation data and
temperature profiles are two dependent parameters that are analyzed to achieve the objectives
of the study. Regression analysis is performed to understand the trend in the rainfall pattern
with changes in temperature in the three designated regions of Oman using the data of 14
years. The study revealed significant outcomes indicating distinct relationship between rainfall
and temperature. Changing ambient temperatures in each region has shown to influence the
rainfall pattern differently in Muscat region contrasting the Maseira and Sur region of the
study area. The trend in rainfall pattern with one unit temperature variations are not uniform
across all the three study regions that show apparent variations due the differently
contributing factors such as topography, wind speed, direction, mountain ranges, relative
humidity, and proximity to sea etc. that would govern the precipitation rates
This document analyzes rainfall patterns and temperature variations in three regions of Oman from 1996-2009. Regression analysis was used to understand the relationship between rainfall and temperature in Muscat, Maseira, and Sur regions. The study found distinct relationships between rainfall and temperature variations in each region. A one unit increase in temperature did not produce uniform changes in rainfall across the three regions, likely due to factors like topography, humidity, and proximity to the sea. Changing temperatures appeared to most influence rainfall patterns in the Muscat region compared to Maseira and Sur. Overall, precipitation in Oman has decreased inconsistently in recent decades, which the study attributes primarily to increasing heat waves from greenhouse gas emissions.
Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bol...DEGU ZEWDU
This document summarizes a study that analyzed trends in seasonal rainfall and temperature patterns in the Kalahandi, Bolangir, and Koraput districts of Odisha, India from 1980 to 2017. The study found an increasing trend in annual maximum and minimum temperatures, while monsoon maximum and minimum temperatures decreased. Rainfall showed a significant increasing trend, especially during the June-September monsoon season. Maximum temperatures increased slightly while minimum temperatures cooled slightly, though only the maximum temperature trend was statistically significant. The study analyzed rainfall and temperature data to better understand climate variability and its impacts on agriculture in the region.
Analyzing the rainfall and temperature influence on municipal water consumpti...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document summarizes a study on the spatial and temporal distribution of temperature, rainfall, sunshine, and humidity in Bangladesh and their implications for crop agriculture. Key findings include rising temperatures across Bangladesh at a rate of 1.2°C per century based on historical data, stronger warming trends in recent decades, varying rainfall trends by region and season, decreasing sunshine duration, and increasing humidity. Crop modeling suggests vulnerability of wheat and boro rice yields to climate change impacts by the end of the century. Local perceptions also indicate experiences of changing climate and impacts on crops.
Hydroclimatological assessment of Jawi River Basin, Malaysiaijtsrd
A pilot investigation is being conducted to evaluate the current hydroclimatological condition of the Jawi River Basin, Malaysia. The river basin is reported to face physical changes in the near future. The basin area is located in the northern part of Peninsular Malaysia, which lies near to the equator. In this analysis, local climatology information was used since 1990 until 2010 from the Meteorological Office. The design rainstorm intensity was derived from DID Hydrological Procedure No.1, while the Hydrological Procedure No. 12 was used to compute low flows based on regional frequency analysis. The climate of the river basin reflects the equatorial climate with some monsoonal effects. Generally, the highest mean rainfall occurs in the month of October and the lowest rainfall occurs in the month of January. The 7 day low flow value for the basin is about 0.062 cubic meter per second cumecs . This means that the river basin should maintain the stream discharge at least 0.062 cumecs or above to prevent any adverse ecological impacts on the waterbody and its ecosystem. Noorazuan Md Hashim | Mohd. Azlan Abdullah ""Hydroclimatological assessment of Jawi River Basin, Malaysia"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23725.pdf
Paper URL: https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/23725/hydroclimatological-assessment-of-jawi-river-basin-malaysia/noorazuan-md-hashim
Analysis of Monthly Rainfall Trend over the Mahanadi Basin in Kesinga StationIJLT EMAS
Climatic changes is uncertain in nature and other
changes are not expected to be uniform, rather there may be
dramatic regional differences. Considerable effort should be given
to understand change in climate at the regional level. Here we had
conducted the study to establish the rainfall trends in the Tel river
of Kesinga and also to provide the evidence of climate change by
analyzing available rainfall record for 11years period from 2003 to
2013. Records of monthly rainfall were obtained from the CWC
station at Kesinga for analysis. Graphs were constructed to
illustrate the changing trends within the months of the study area.
From the graphs the highest and lowest amount of rainfall was
obtainedand the variation in rainfall was studied. The mean,
median, standard deviation, variance of rainfall data of each month
was obtained to know the variation in 11 years of data. Trend
analysis is parametric type, i.e. linear regression analysis revealed
positive and negative trend in some months.
This document summarizes a study assessing the impacts of projected climate change on water resources in the Mekong River Basin by 2030. The study finds that temperatures are likely to increase by 0.79°C on average across the basin. Precipitation is projected to increase by 13.5% annually, mainly due to increases in wet season rainfall. Total annual runoff is projected to increase by 21% or 107,000 million cubic meters. Increased flooding is likely to affect all parts of the basin. Food scarcity may increase in some areas due to population growth and changes in fisheries productivity from altered hydrology.
ANALYSIS OF RAINFALL PATTERN AND TEMPERATURE VARIATIONS IN THREE REGIONS OF S...IAEME Publication
Rainfall and temperature are important parameters that determine the climatic condition
of a region andis a growing concern in the current situation. Growing industrialization and
increasing use of fossil fuels are putting pressure and effecting the regional and global
temperatures that are subsequently influencing the overall precipitation levels. GCC and Arab
countries are mostly dominated by dry climate and hot winds for most part of the year with
little or no rainfall in most regions. In Middle east, specifically GCC countries economy
depends on oil and gas production, processing, and exports, and these resources are used for
electricity generation across all the six countries. This practice invariably is releasing more of
greenhouse gases coupled with industrial emissions annually from industrialized zones.
Among the six GCC nations, Oman has the second largest land area next to Saudi Arabia and
has significant quantities of oil and gas resources and limited ground water resources.
Scarcity of ground water poses serious problems for farming and potable water that cannot be
supported by scanty or less rainfall annually. In absence of considerable data on rainfall
pattern and temperature deviations, this paper is focused to highlight the rainfall scenario over
temperature changes by studying the rainfall patterns over three designated regions for a
certain duration. In Oman rainfall patterns and temperatures are stimulated by the weather
changes and mostly by heavy industrialization in the recent past. Precipitation data and
temperature profiles are two dependent parameters that are analyzed to achieve the objectives
of the study. Regression analysis is performed to understand the trend in the rainfall pattern
with changes in temperature in the three designated regions of Oman using the data of 14
years. The study revealed significant outcomes indicating distinct relationship between rainfall
and temperature. Changing ambient temperatures in each region has shown to influence the
rainfall pattern differently in Muscat region contrasting the Maseira and Sur region of the
study area. The trend in rainfall pattern with one unit temperature variations are not uniform
across all the three study regions that show apparent variations due the differently
contributing factors such as topography, wind speed, direction, mountain ranges, relative
humidity, and proximity to sea etc. that would govern the precipitation rates
This document analyzes rainfall patterns and temperature variations in three regions of Oman from 1996-2009. Regression analysis was used to understand the relationship between rainfall and temperature in Muscat, Maseira, and Sur regions. The study found distinct relationships between rainfall and temperature variations in each region. A one unit increase in temperature did not produce uniform changes in rainfall across the three regions, likely due to factors like topography, humidity, and proximity to the sea. Changing temperatures appeared to most influence rainfall patterns in the Muscat region compared to Maseira and Sur. Overall, precipitation in Oman has decreased inconsistently in recent decades, which the study attributes primarily to increasing heat waves from greenhouse gas emissions.
Trend analysis of seasonal rainfall and temperature pattern in Kalahandi, Bol...DEGU ZEWDU
This document summarizes a study that analyzed trends in seasonal rainfall and temperature patterns in the Kalahandi, Bolangir, and Koraput districts of Odisha, India from 1980 to 2017. The study found an increasing trend in annual maximum and minimum temperatures, while monsoon maximum and minimum temperatures decreased. Rainfall showed a significant increasing trend, especially during the June-September monsoon season. Maximum temperatures increased slightly while minimum temperatures cooled slightly, though only the maximum temperature trend was statistically significant. The study analyzed rainfall and temperature data to better understand climate variability and its impacts on agriculture in the region.
Analyzing the rainfall and temperature influence on municipal water consumpti...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document summarizes a study on the spatial and temporal distribution of temperature, rainfall, sunshine, and humidity in Bangladesh and their implications for crop agriculture. Key findings include rising temperatures across Bangladesh at a rate of 1.2°C per century based on historical data, stronger warming trends in recent decades, varying rainfall trends by region and season, decreasing sunshine duration, and increasing humidity. Crop modeling suggests vulnerability of wheat and boro rice yields to climate change impacts by the end of the century. Local perceptions also indicate experiences of changing climate and impacts on crops.
Hydroclimatological assessment of Jawi River Basin, Malaysiaijtsrd
A pilot investigation is being conducted to evaluate the current hydroclimatological condition of the Jawi River Basin, Malaysia. The river basin is reported to face physical changes in the near future. The basin area is located in the northern part of Peninsular Malaysia, which lies near to the equator. In this analysis, local climatology information was used since 1990 until 2010 from the Meteorological Office. The design rainstorm intensity was derived from DID Hydrological Procedure No.1, while the Hydrological Procedure No. 12 was used to compute low flows based on regional frequency analysis. The climate of the river basin reflects the equatorial climate with some monsoonal effects. Generally, the highest mean rainfall occurs in the month of October and the lowest rainfall occurs in the month of January. The 7 day low flow value for the basin is about 0.062 cubic meter per second cumecs . This means that the river basin should maintain the stream discharge at least 0.062 cumecs or above to prevent any adverse ecological impacts on the waterbody and its ecosystem. Noorazuan Md Hashim | Mohd. Azlan Abdullah ""Hydroclimatological assessment of Jawi River Basin, Malaysia"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23725.pdf
Paper URL: https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/23725/hydroclimatological-assessment-of-jawi-river-basin-malaysia/noorazuan-md-hashim
Analysis of Monthly Rainfall Trend over the Mahanadi Basin in Kesinga StationIJLT EMAS
Climatic changes is uncertain in nature and other
changes are not expected to be uniform, rather there may be
dramatic regional differences. Considerable effort should be given
to understand change in climate at the regional level. Here we had
conducted the study to establish the rainfall trends in the Tel river
of Kesinga and also to provide the evidence of climate change by
analyzing available rainfall record for 11years period from 2003 to
2013. Records of monthly rainfall were obtained from the CWC
station at Kesinga for analysis. Graphs were constructed to
illustrate the changing trends within the months of the study area.
From the graphs the highest and lowest amount of rainfall was
obtainedand the variation in rainfall was studied. The mean,
median, standard deviation, variance of rainfall data of each month
was obtained to know the variation in 11 years of data. Trend
analysis is parametric type, i.e. linear regression analysis revealed
positive and negative trend in some months.
This document summarizes a study assessing the impacts of projected climate change on water resources in the Mekong River Basin by 2030. The study finds that temperatures are likely to increase by 0.79°C on average across the basin. Precipitation is projected to increase by 13.5% annually, mainly due to increases in wet season rainfall. Total annual runoff is projected to increase by 21% or 107,000 million cubic meters. Increased flooding is likely to affect all parts of the basin. Food scarcity may increase in some areas due to population growth and changes in fisheries productivity from altered hydrology.
Quantifying trends of rainfall and temperature extremes over Central Tanzania...africa-rising
Poster prepared by Francis Muthoni, Exavery Kigosi and Shitindi Mawazo for the Africa RISING ESA Project Review and Planning Meeting, Dar es Salaam, Tanzania, 11-12 September 2019.
PROJECT OF THE TITLE PROPOSAL FINL FOR COFFEterefa1234
This document summarizes a study assessing the impact of climate change on crop yields in Bako Tibe Woreda, Ethiopia. Historical climate and crop yield data from 1989-2018 were analyzed. Temperature trends significantly increased while precipitation trends decreased insignificantly. Agricultural drought was analyzed using SPEI and occurred 4 times in the last 3 decades, covering 36% of the district. Crop yields of teff, wheat, barley and maize were significantly correlated with drought indices. The study shows increased temperature and precipitation variability have enhanced drought frequency and intensity, impacting selected crop yields. Improved agricultural technologies and short season crop varieties are needed to enhance farmer capacity.
Predicting Meteorological Drought in Iraq: An Evaluation of Machine Learning ...IRJET Journal
This document presents research on using machine learning techniques to predict meteorological drought in Iraq. It evaluates the Random Forest and Artificial Neural Network models for forecasting the Standardized Precipitation Index (SPI) over different time scales (3, 6, 9, and 12 months). The models are developed using monthly rainfall data from 1981 to 2021 from meteorological stations in northern Iraq. This region experiences a continental and subtropical semi-arid climate and frequent droughts. The document provides background on drought and the SPI index. It also describes the study area, data, Random Forest and Artificial Neural Network methods, and presents preliminary results of the model evaluations. The aim is to better understand drought patterns in Iraq to help mitigate impacts
This document summarizes a study on climate variability and its implications for wheat productivity and farmers' adaptation strategies in Robe Town and surrounding areas of Ethiopia. The study used descriptive and survey research methods to analyze climate trends over 30 years and their effects on wheat yields. Statistical analyses including ARIMA modeling found increasing temperatures (0.04°C annually) and decreasing rainfall (-0.28mm annually) in the region. The results also showed wheat yield reductions of 0.014 quintals per 1mm decrease in spring rainfall and 1.41 quintals per 10°C increase in annual temperature. Farmers' current coping strategies were found to be largely traditional and potentially destructive. The conclusion was that temperatures are projected to increase further
Finding - Climate extremes and their impactsipcc-media
Climate extremes and their impacts were discussed. It was noted that a changing climate leads to changes in extreme weather events, both in terms of frequency and intensity. Extreme events interacting with vulnerable systems can lead to disasters. Various climate indices were presented to quantify extremes such as temperature and precipitation. Projections indicate increases in hot days and heavy precipitation. Managing risks requires understanding vulnerability and exposure as well as implementing measures like early warning systems, infrastructure improvements, and development policies. Adaptation requires addressing local conditions and involves both short-term risk reduction and long-term sustainable solutions.
Investigate the TRNC Water Resources Management Strategies Using Possible Opt...IRJET Journal
This document investigates water resource management strategies for Northern Cyprus (TRNC) by considering all possible options and recommendations. It reviews 50 previous studies on the topic and extracts existing water management options for the TRNC. The most important recommendation is the need to periodically assess the regional water budget every 5-10 years to provide updates on water demand, supply, groundwater levels and quality, streamflow levels, and the impacts of drought on water resources. This will help ensure proper water management for domestic and agricultural sectors in the TRNC.
ASSESSMENT OF PARTICULATE MATTER CONCENTRATION AMONG LAND USE TYPES IN OBIGBO...IAEME Publication
Air pollution has become a serious issue especially in fast developing urban areas. Particulate matter (PM) inhalation is injurious to man at significant concentration because it can accumulate in the lungs and some of the particulate compositions have been established as carcinogenic. This study assessed the level of particulate matter (PM) mass concentration in selected oil operating areas in Rivers State in Nigeria. Areas around other land use types were considered such as schools (SCH), market (MKT), commercial center (COM), bus stops (BST), residential areas (RES), hospitals (HSP) and vegetation (VEG). PM1, PM2.5, PM4, PM7 and PM10 were monitored using a digital read out electronic instrument, Aerocet Model 531. Meteorological parameters (wind speed, temperature and humidity) were monitored using Kestrel 3000 portable weather tracker.
This document provides an overview of climate variability and climate change impacts on agriculture in the Greater Mekong Sub-region. It discusses observed changes in temperature and precipitation trends based on historical data. Climate models project further increases in temperatures and changes in precipitation patterns, which could impact agriculture through changes in climate suitability and more frequent extreme weather events. The document emphasizes understanding historical climate variability and using downscaled climate projections to better assess impacts and develop adaptation strategies for agricultural systems in the region.
Statistical analysis of an orographic rainfall for eight north-east region of...IJICTJOURNAL
Autoregressive integrated moving average (ARIMA) models are used to predict the rain rate for orographic rainfall over a long period of time, from 1980 to 1918. As the orographic rainfall may cause landslides and other natural disaster issues, So, this study is very important for the analysis of rainfall prediction. In this research, statistical calculations have been done based on the rainfall data for twelve regions of India (Cherrapunji, Darjeling, Dawki, Ghum, Itanagar, Kamchenjunga, Mizoram, Nagaland, Pakyong, Saser Kangri, Slot Kangri, and Tripura) from the eight states, i.e., Sikkim, Meghalaya, West Bengal, Ladakh (Union Territory of India), Arunachal Pradesh, Mizoram, Tripura, and Nagaland) with varying altitude. The model's output is assessed using several error calculations. The model's performance is represented by the fit value, which is reliable for the northeast region of India with increasing altitude. The statistical dependability of the rainfall prediction is shown by the parameters. The lowest value of root mean square error (RMSE) indicates better prediction for orographic rainfall.
PM10 CONCENTRATION CHANGES AS A RESULT OF WIDESPRING PRECIPITATION IN AGRAIRJET Journal
1) A study was conducted in Agra, India from 2021-2022 to examine the impact of widespread precipitation on decreasing PM10 concentrations.
2) The average PM10 concentration was lower during periods of precipitation (101.1μg/m3) compared to periods without precipitation (184.8μg/m3), showing precipitation helps reduce PM10 levels.
3) The greatest decrease in PM10 concentration occurred after 6 hours of continuous light to moderate intensity rain, especially during the warm season.
Investigation of Decadal Changes of Temperature over Bihar Region (India)IRJET Journal
This document analyzes decadal changes in temperature over the Bihar region of India from 1954-2013. It finds:
- Minimum temperatures showed a decreasing trend in winter, while maximum temperatures showed an increasing trend in monsoon season. Both trends were statistically significant.
- Maximum temperatures increased by 0.6°C per decade in the 6th decade for monsoon season, likely due to more frequent El Nino events bringing warmer waters and additional heat/moisture to the atmosphere.
- Minimum temperatures decreased the most (-3°C/decade) in the 4th decade, possibly because of decreased sunspot activity, which correlates with cooler global temperatures when sunspot activity is lower.
Assessment of climate change impact on water availability of bilate watershed...Alexander Decker
This document assesses the impact of climate change on water availability in the Bilate watershed in Ethiopia. It uses the HadCM3 climate model and Statistical Downscaling Model (SDSM) to develop climate change scenarios for precipitation and temperature. These scenarios are input into the Soil and Water Assessment Tool (SWAT) hydrological model to simulate future streamflow. SWAT simulations indicate streamflow may decrease slightly by 3.7% for the 2011-2040 period under an A2a emissions scenario but increase up to 3.7% for the 2041-2070 period under a B2a scenario. Adopting water storage options could help address potential future water demand and flow issues.
A climatology analysis of the petrie creek catchment maroochydore australia u...Alexander Decker
This document analyzes the climate of the Petrie Creek catchment in Australia using simulation data from 1960-2010. It finds that the mean annual precipitation is 1719.09 mm, with higher rainfall in summer months. The mean annual temperature increased from 18.84 to 19.80 degrees Celsius over this period. Analysis of extremes found the highest daily rainfall was 702.4 mm in 1992. Climate change may increase temperatures and decrease rainfall in the catchment, requiring further study of impacts on flooding and infrastructure. More comprehensive climate data analysis is needed to fully understand trends and impacts on similar catchments.
The document summarizes trends in maximum temperature and thunderstorm frequency in Bangladesh and their impacts. It finds that maximum temperature has increased in most areas from 1961-2008, especially in May, while thunderstorm frequency has generally decreased. It also notes negative correlation between temperature and thunderstorms. Further, it examines the socioeconomic impacts of thunderstorms in four areas, finding differences in literacy, housing quality, and access to water and electricity.
This document examines the impact of strong winds ("120-day winds") on evapotranspiration in western Afghanistan. It finds that during the windy season from June to September, reference evapotranspiration estimated using the Penman-Monteith method is lower than pan evaporation and evapotranspiration estimated using a pan coefficient. The pan coefficient is more similar between two estimation methods during the windy season. Higher winds decrease the pan coefficient more than relative humidity. Overall, evapotranspiration is more affected by wind speed than other factors in this windy region.
On the performance analysis of rainfall prediction using mutual information...IJECEIAES
Monsoon rainfall prediction over a small geographic region is indeed a challenging task. This paper uses monthly means of climate variables, namely air temperature (AT), sea surface temperature (SST), and sea level pressure (SLP) over the globe, to predict monthly and seasonal summer monsoon rainfall over the state of Maharashtra, India. Mutual information correlates the temperature and pressure from a grid of 10 longitude X 10 latitude with Maharashtra’s monthly rainfall time series. Based on the correlations, selected features over the respective latitude and longitudes are given as inputs to an artificial neural network. It was observed that AT and SLP could predict monthly monsoon rainfall with excellent accuracy. The performance of the test dataset was evaluated through mean absolute error; root mean square error, correlation coefficient, Nash Sutcliffe model efficiency coefficient, and maximum rainfall prediction capability of the network. The individual climate variable model for AT performed better in all evaluation parameters except maximum rainfall capability, where the combined model 2 with AT, SLP and SST as predictors outperformed. The SLP-only model’s performance was comparable to the AT-only model. The combined model 1 with AT and SLP as predictors was found better than the combined model 2.
IRJET- Estimation of Water Level Variations in Dams Based on Rainfall Dat...IRJET Journal
This document presents a study that uses an artificial neural network (ANN) to estimate water level variations in dams based on rainfall data. Specifically, it develops ANN models to forecast daily water levels for the Sukhi Reservoir project in India. The study collects water level, inflow, and release data over many years to train ANN models. It compares the performance of different ANN architectures - cascade, Elman, and feedforward backpropagation networks. The results show that the feedforward backpropagation network achieves the best performance with low errors and high correlation between predicted and actual water levels. The ANN models provide an effective method for timely water level forecasting to aid water management and disaster control.
weather forecasting, types, advantages, role, drought climatology, weather forecasting tools, use in agriculture, role in agriculture, nowcasting, medium, long range,Indian meteorological department
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
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Poster prepared by Francis Muthoni, Exavery Kigosi and Shitindi Mawazo for the Africa RISING ESA Project Review and Planning Meeting, Dar es Salaam, Tanzania, 11-12 September 2019.
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This document summarizes a study assessing the impact of climate change on crop yields in Bako Tibe Woreda, Ethiopia. Historical climate and crop yield data from 1989-2018 were analyzed. Temperature trends significantly increased while precipitation trends decreased insignificantly. Agricultural drought was analyzed using SPEI and occurred 4 times in the last 3 decades, covering 36% of the district. Crop yields of teff, wheat, barley and maize were significantly correlated with drought indices. The study shows increased temperature and precipitation variability have enhanced drought frequency and intensity, impacting selected crop yields. Improved agricultural technologies and short season crop varieties are needed to enhance farmer capacity.
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This document presents research on using machine learning techniques to predict meteorological drought in Iraq. It evaluates the Random Forest and Artificial Neural Network models for forecasting the Standardized Precipitation Index (SPI) over different time scales (3, 6, 9, and 12 months). The models are developed using monthly rainfall data from 1981 to 2021 from meteorological stations in northern Iraq. This region experiences a continental and subtropical semi-arid climate and frequent droughts. The document provides background on drought and the SPI index. It also describes the study area, data, Random Forest and Artificial Neural Network methods, and presents preliminary results of the model evaluations. The aim is to better understand drought patterns in Iraq to help mitigate impacts
This document summarizes a study on climate variability and its implications for wheat productivity and farmers' adaptation strategies in Robe Town and surrounding areas of Ethiopia. The study used descriptive and survey research methods to analyze climate trends over 30 years and their effects on wheat yields. Statistical analyses including ARIMA modeling found increasing temperatures (0.04°C annually) and decreasing rainfall (-0.28mm annually) in the region. The results also showed wheat yield reductions of 0.014 quintals per 1mm decrease in spring rainfall and 1.41 quintals per 10°C increase in annual temperature. Farmers' current coping strategies were found to be largely traditional and potentially destructive. The conclusion was that temperatures are projected to increase further
Finding - Climate extremes and their impactsipcc-media
Climate extremes and their impacts were discussed. It was noted that a changing climate leads to changes in extreme weather events, both in terms of frequency and intensity. Extreme events interacting with vulnerable systems can lead to disasters. Various climate indices were presented to quantify extremes such as temperature and precipitation. Projections indicate increases in hot days and heavy precipitation. Managing risks requires understanding vulnerability and exposure as well as implementing measures like early warning systems, infrastructure improvements, and development policies. Adaptation requires addressing local conditions and involves both short-term risk reduction and long-term sustainable solutions.
Investigate the TRNC Water Resources Management Strategies Using Possible Opt...IRJET Journal
This document investigates water resource management strategies for Northern Cyprus (TRNC) by considering all possible options and recommendations. It reviews 50 previous studies on the topic and extracts existing water management options for the TRNC. The most important recommendation is the need to periodically assess the regional water budget every 5-10 years to provide updates on water demand, supply, groundwater levels and quality, streamflow levels, and the impacts of drought on water resources. This will help ensure proper water management for domestic and agricultural sectors in the TRNC.
ASSESSMENT OF PARTICULATE MATTER CONCENTRATION AMONG LAND USE TYPES IN OBIGBO...IAEME Publication
Air pollution has become a serious issue especially in fast developing urban areas. Particulate matter (PM) inhalation is injurious to man at significant concentration because it can accumulate in the lungs and some of the particulate compositions have been established as carcinogenic. This study assessed the level of particulate matter (PM) mass concentration in selected oil operating areas in Rivers State in Nigeria. Areas around other land use types were considered such as schools (SCH), market (MKT), commercial center (COM), bus stops (BST), residential areas (RES), hospitals (HSP) and vegetation (VEG). PM1, PM2.5, PM4, PM7 and PM10 were monitored using a digital read out electronic instrument, Aerocet Model 531. Meteorological parameters (wind speed, temperature and humidity) were monitored using Kestrel 3000 portable weather tracker.
This document provides an overview of climate variability and climate change impacts on agriculture in the Greater Mekong Sub-region. It discusses observed changes in temperature and precipitation trends based on historical data. Climate models project further increases in temperatures and changes in precipitation patterns, which could impact agriculture through changes in climate suitability and more frequent extreme weather events. The document emphasizes understanding historical climate variability and using downscaled climate projections to better assess impacts and develop adaptation strategies for agricultural systems in the region.
Statistical analysis of an orographic rainfall for eight north-east region of...IJICTJOURNAL
Autoregressive integrated moving average (ARIMA) models are used to predict the rain rate for orographic rainfall over a long period of time, from 1980 to 1918. As the orographic rainfall may cause landslides and other natural disaster issues, So, this study is very important for the analysis of rainfall prediction. In this research, statistical calculations have been done based on the rainfall data for twelve regions of India (Cherrapunji, Darjeling, Dawki, Ghum, Itanagar, Kamchenjunga, Mizoram, Nagaland, Pakyong, Saser Kangri, Slot Kangri, and Tripura) from the eight states, i.e., Sikkim, Meghalaya, West Bengal, Ladakh (Union Territory of India), Arunachal Pradesh, Mizoram, Tripura, and Nagaland) with varying altitude. The model's output is assessed using several error calculations. The model's performance is represented by the fit value, which is reliable for the northeast region of India with increasing altitude. The statistical dependability of the rainfall prediction is shown by the parameters. The lowest value of root mean square error (RMSE) indicates better prediction for orographic rainfall.
PM10 CONCENTRATION CHANGES AS A RESULT OF WIDESPRING PRECIPITATION IN AGRAIRJET Journal
1) A study was conducted in Agra, India from 2021-2022 to examine the impact of widespread precipitation on decreasing PM10 concentrations.
2) The average PM10 concentration was lower during periods of precipitation (101.1μg/m3) compared to periods without precipitation (184.8μg/m3), showing precipitation helps reduce PM10 levels.
3) The greatest decrease in PM10 concentration occurred after 6 hours of continuous light to moderate intensity rain, especially during the warm season.
Investigation of Decadal Changes of Temperature over Bihar Region (India)IRJET Journal
This document analyzes decadal changes in temperature over the Bihar region of India from 1954-2013. It finds:
- Minimum temperatures showed a decreasing trend in winter, while maximum temperatures showed an increasing trend in monsoon season. Both trends were statistically significant.
- Maximum temperatures increased by 0.6°C per decade in the 6th decade for monsoon season, likely due to more frequent El Nino events bringing warmer waters and additional heat/moisture to the atmosphere.
- Minimum temperatures decreased the most (-3°C/decade) in the 4th decade, possibly because of decreased sunspot activity, which correlates with cooler global temperatures when sunspot activity is lower.
Assessment of climate change impact on water availability of bilate watershed...Alexander Decker
This document assesses the impact of climate change on water availability in the Bilate watershed in Ethiopia. It uses the HadCM3 climate model and Statistical Downscaling Model (SDSM) to develop climate change scenarios for precipitation and temperature. These scenarios are input into the Soil and Water Assessment Tool (SWAT) hydrological model to simulate future streamflow. SWAT simulations indicate streamflow may decrease slightly by 3.7% for the 2011-2040 period under an A2a emissions scenario but increase up to 3.7% for the 2041-2070 period under a B2a scenario. Adopting water storage options could help address potential future water demand and flow issues.
A climatology analysis of the petrie creek catchment maroochydore australia u...Alexander Decker
This document analyzes the climate of the Petrie Creek catchment in Australia using simulation data from 1960-2010. It finds that the mean annual precipitation is 1719.09 mm, with higher rainfall in summer months. The mean annual temperature increased from 18.84 to 19.80 degrees Celsius over this period. Analysis of extremes found the highest daily rainfall was 702.4 mm in 1992. Climate change may increase temperatures and decrease rainfall in the catchment, requiring further study of impacts on flooding and infrastructure. More comprehensive climate data analysis is needed to fully understand trends and impacts on similar catchments.
The document summarizes trends in maximum temperature and thunderstorm frequency in Bangladesh and their impacts. It finds that maximum temperature has increased in most areas from 1961-2008, especially in May, while thunderstorm frequency has generally decreased. It also notes negative correlation between temperature and thunderstorms. Further, it examines the socioeconomic impacts of thunderstorms in four areas, finding differences in literacy, housing quality, and access to water and electricity.
This document examines the impact of strong winds ("120-day winds") on evapotranspiration in western Afghanistan. It finds that during the windy season from June to September, reference evapotranspiration estimated using the Penman-Monteith method is lower than pan evaporation and evapotranspiration estimated using a pan coefficient. The pan coefficient is more similar between two estimation methods during the windy season. Higher winds decrease the pan coefficient more than relative humidity. Overall, evapotranspiration is more affected by wind speed than other factors in this windy region.
On the performance analysis of rainfall prediction using mutual information...IJECEIAES
Monsoon rainfall prediction over a small geographic region is indeed a challenging task. This paper uses monthly means of climate variables, namely air temperature (AT), sea surface temperature (SST), and sea level pressure (SLP) over the globe, to predict monthly and seasonal summer monsoon rainfall over the state of Maharashtra, India. Mutual information correlates the temperature and pressure from a grid of 10 longitude X 10 latitude with Maharashtra’s monthly rainfall time series. Based on the correlations, selected features over the respective latitude and longitudes are given as inputs to an artificial neural network. It was observed that AT and SLP could predict monthly monsoon rainfall with excellent accuracy. The performance of the test dataset was evaluated through mean absolute error; root mean square error, correlation coefficient, Nash Sutcliffe model efficiency coefficient, and maximum rainfall prediction capability of the network. The individual climate variable model for AT performed better in all evaluation parameters except maximum rainfall capability, where the combined model 2 with AT, SLP and SST as predictors outperformed. The SLP-only model’s performance was comparable to the AT-only model. The combined model 1 with AT and SLP as predictors was found better than the combined model 2.
IRJET- Estimation of Water Level Variations in Dams Based on Rainfall Dat...IRJET Journal
This document presents a study that uses an artificial neural network (ANN) to estimate water level variations in dams based on rainfall data. Specifically, it develops ANN models to forecast daily water levels for the Sukhi Reservoir project in India. The study collects water level, inflow, and release data over many years to train ANN models. It compares the performance of different ANN architectures - cascade, Elman, and feedforward backpropagation networks. The results show that the feedforward backpropagation network achieves the best performance with low errors and high correlation between predicted and actual water levels. The ANN models provide an effective method for timely water level forecasting to aid water management and disaster control.
weather forecasting, types, advantages, role, drought climatology, weather forecasting tools, use in agriculture, role in agriculture, nowcasting, medium, long range,Indian meteorological department
Similar to ANALYSIS ON INTERDEPENDENCE OF WEATHER PARAMETERS USING SPSS SOFTWARE (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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.