The document analyzes extreme rainfall events in Mumbai, India to determine maximum probable precipitation amounts for different return periods. It describes using the Hershfield technique and Gumbel's extreme value theory to analyze 35 years of rainfall data for Mumbai's Colaba region. Calculations determine the probable maximum precipitation is 604.688036 mm based on past data, and estimate maximum one-day rainfall amounts for return periods from 2 to 100 years.
This document discusses precipitation, including its various forms, the requirements and mechanisms for its formation, and methods for measuring and estimating precipitation. It defines precipitation as water falling from the atmosphere to Earth's surface in solid or liquid form. The main forms are rain, snow, sleet, hail, and dew. Precipitation forms through the lifting of air masses, temperature gradients, water vapor saturation, and the presence of aerosol particles for condensation. Measurement methods include non-recording and recording rain gauges. Estimation of missing data uses surrounding station averages or normal rainfall ratios.
This document discusses floods and methods for estimating peak flood discharge. It begins by defining a flood and design flood. It then describes various methods for estimating peak flood discharge, including using physical indicators, empirical formulas, unit hydrographs, the rational method, and flood frequency studies. As an example of applying the rational method, it calculates the peak discharge for a culvert project in Alberta, Canada with a 50-year return period. It also provides an example of using Gumbel's extreme value distribution to estimate flood discharges with 100-year and 150-year return periods based on annual maximum flood data from 1951-1977.
Stream Gauging: Necessity; Selection of gauging sites; Methods of discharge measurement; Area-Velocity method; Venturi flume; Chemical method; weir method; Measurement of velocity; Floats Surface float, Sub–surface float or Double float, Twin float, Velocity rod or Rod float; Pitot tube; Current meter; Working of current meter; rating of current meter; Measurement of area of flow; Measurement of width - Pivot point method; Measurement of depth Sounding rod, Echo- sounder.
The document discusses unit hydrographs, which are used to model the response of a watershed's streamflow to rainfall. It covers topics such as:
- Defining a unit hydrograph and explaining its use in predicting streamflow from rainfall amounts.
- Describing the assumptions and terminology used in unit hydrograph models, such as uniform rainfall distribution and the components of a hydrograph.
- Explaining how to create a unit hydrograph from streamflow data or synthetically, and how to apply it to calculate a direct runoff hydrograph from rainfall inputs.
Runoff computation by infiltration indicesSagar Vekariya
This document discusses methods for computing runoff using infiltration rates. It defines infiltration as the process by which water enters the soil, governed by gravity and capillary action. There are two key terms: infiltration capacity, which is the maximum rate of water entering soil in a given condition; and infiltration rate, which is the actual rate of water entering during a storm, equal to the capacity or rainfall rate, whichever is lower. There are two main methods for computing runoff - using an infiltration capacity curve, which plots capacity versus rainfall to determine excess rainfall/runoff; and infiltration indices, which provide average loss rates for larger catchment areas. Specific indices discussed are the W-Index and φ-Index. An example calculation is provided
Intensity-Duration-Frequency Curves and RegionalisationAM Publications
Storm sewers make up a large percentage of drainage system in an urban setup. The design of these
components are based on rainfall intensities of a specific design period for that location. These can be derived from
intensity-duration-frequency (IDF) relationship. These IDF relationships are derived from historical rainfall, using
an extreme value distribution for maximum rainfall intensity. In the present study the IDF curves and parameter
regionalisation were studied for various kinds of basins. These equation parameters can be then used to understand
the spatial variation of rainfall intensity in the study area. The parameter contour maps subsequently generated using
various interpolation method are then used for plotting IDF curves for any ungauged station in the basin.
This document discusses precipitation, including its various forms, the requirements and mechanisms for its formation, and methods for measuring and estimating precipitation. It defines precipitation as water falling from the atmosphere to Earth's surface in solid or liquid form. The main forms are rain, snow, sleet, hail, and dew. Precipitation forms through the lifting of air masses, temperature gradients, water vapor saturation, and the presence of aerosol particles for condensation. Measurement methods include non-recording and recording rain gauges. Estimation of missing data uses surrounding station averages or normal rainfall ratios.
This document discusses floods and methods for estimating peak flood discharge. It begins by defining a flood and design flood. It then describes various methods for estimating peak flood discharge, including using physical indicators, empirical formulas, unit hydrographs, the rational method, and flood frequency studies. As an example of applying the rational method, it calculates the peak discharge for a culvert project in Alberta, Canada with a 50-year return period. It also provides an example of using Gumbel's extreme value distribution to estimate flood discharges with 100-year and 150-year return periods based on annual maximum flood data from 1951-1977.
Stream Gauging: Necessity; Selection of gauging sites; Methods of discharge measurement; Area-Velocity method; Venturi flume; Chemical method; weir method; Measurement of velocity; Floats Surface float, Sub–surface float or Double float, Twin float, Velocity rod or Rod float; Pitot tube; Current meter; Working of current meter; rating of current meter; Measurement of area of flow; Measurement of width - Pivot point method; Measurement of depth Sounding rod, Echo- sounder.
The document discusses unit hydrographs, which are used to model the response of a watershed's streamflow to rainfall. It covers topics such as:
- Defining a unit hydrograph and explaining its use in predicting streamflow from rainfall amounts.
- Describing the assumptions and terminology used in unit hydrograph models, such as uniform rainfall distribution and the components of a hydrograph.
- Explaining how to create a unit hydrograph from streamflow data or synthetically, and how to apply it to calculate a direct runoff hydrograph from rainfall inputs.
Runoff computation by infiltration indicesSagar Vekariya
This document discusses methods for computing runoff using infiltration rates. It defines infiltration as the process by which water enters the soil, governed by gravity and capillary action. There are two key terms: infiltration capacity, which is the maximum rate of water entering soil in a given condition; and infiltration rate, which is the actual rate of water entering during a storm, equal to the capacity or rainfall rate, whichever is lower. There are two main methods for computing runoff - using an infiltration capacity curve, which plots capacity versus rainfall to determine excess rainfall/runoff; and infiltration indices, which provide average loss rates for larger catchment areas. Specific indices discussed are the W-Index and φ-Index. An example calculation is provided
Intensity-Duration-Frequency Curves and RegionalisationAM Publications
Storm sewers make up a large percentage of drainage system in an urban setup. The design of these
components are based on rainfall intensities of a specific design period for that location. These can be derived from
intensity-duration-frequency (IDF) relationship. These IDF relationships are derived from historical rainfall, using
an extreme value distribution for maximum rainfall intensity. In the present study the IDF curves and parameter
regionalisation were studied for various kinds of basins. These equation parameters can be then used to understand
the spatial variation of rainfall intensity in the study area. The parameter contour maps subsequently generated using
various interpolation method are then used for plotting IDF curves for any ungauged station in the basin.
this is my presentation of hydraulic and water resources engineering. I have discussed in this ppt about network density for given rain gauge and calculations and index of witness.
There are three main types of recording rain gauges:
1) Tipping bucket gauges contain two buckets that tip when 0.25mm of rain is collected, actuating an electric circuit to mark rainfall on a revolving chart.
2) Weighing gauges use a spring-lever balance to move a pen across a chart as rainfall accumulates in a collecting tank.
3) Float gauges move a pen as rain fills a float chamber, with an overflow siphon chamber automatically draining excess water. The clockwork chart records rainfall over 24 hours.
Hydrologic data generally consist of a sequence of observations of some phase of the hydrologic cycle made at a particular site. The data may be a record of the discharge of a stream at a particular place, or it may be a record of the amount of rainfall caught in a particular rain gage.
Although for most hydrologic purposes a long record is preferred to a short one, the user should recognize that the longer the record the greater the chance that there has been a change in the physical conditions of the basin or in the methods of data collection. If these are appreciable, the composite record would represent only a nonexistent condition and not one that existed either before or after the change. Such a record is inconsistent.
This document discusses hydrographs and unit hydrographs. It defines a hydrograph as a graph showing the rate of flow versus time past a specific point in a river. It notes that hydrographs are commonly used in sewerage design. It then describes the components of a hydrograph including the rising limb, recession limb, peak discharge, lag time, and time to peak. Finally, it discusses unit hydrographs, defining a unit hydrograph as the runoff resulting from 1 unit of rainfall excess. It provides examples of deriving unit hydrographs from observed hydrographs and flood hydrographs.
This document discusses hydrographs and hydrological analysis for floods. It begins by defining a hyetograph as a plot of rainfall intensity over time that is used to understand storm characteristics. A hydrograph is then defined as a graph of discharge over time at a point in a river. Key components of a hydrograph are identified such as the rising and falling limbs, peak discharge, and basin lag time. Factors that influence the shape of a hydrograph include characteristics of the drainage basin like area, slope, soil type and land use. Methods for separating baseflow from surface runoff on a hydrograph are also presented. Finally, the concept of a unit hydrograph is introduced, which represents the hydrograph from 1cm of excess
This document discusses types of rain gauges used to measure rainfall. It describes non-automatic/non-recording rain gauges like Symon's rain gauge which collect rainfall manually. It also describes automatic/recording rain gauges like weighing bucket, tipping bucket, and float type gauges that record rainfall continuously without manual measurement. Recording gauges provide rainfall intensity over time through a pen on a rotating drum, while non-recording gauges only give total rainfall. Recording gauges do not require an attendant but are more expensive and prone to mechanical faults.
This document provides information about hyetographs and hydrographs. It defines a hyetograph as a graphical representation of rainfall intensity over time, showing total rainfall. A hydrograph shows variations in river discharge over time at a measurement point. It describes the components of hydrographs, including the rising and falling limbs and peak. It also discusses runoff classifications, the unit hydrograph concept for analyzing surface runoff, and key hydrograph terminology like time to peak, time of concentration, and lag time.
Hydrological cycle- Meteorological measurements – Requirements, types and forms of Precipitation-Rain Gauges-Spatial analysis of rainfall data using Thiessen and Isohyetal methods Infiltration-Infiltration Index-Interception-Evaporation, Watershed, catchment and basin - Catchment characteristics - factors affecting runoff – Runoff estimation using empirical
Extrapolation of Stage Discharge Rating CurveBiswajit Dey
An accurate stage–discharge relationship is necessary for design to evaluate the interrelationships of flow characteristics (depth and discharge)
The stage-discharge relationship also enables you to evaluate a range of conditions as opposed to a preselected design flow rate.
Continuous measurement of discharge in a river is a very costly, time-consuming, and impractical exercise, especially during floods.
Usually, to overcome limitations to continuous discharge measurement, observed stage data is converted into river discharge using a stage-discharge relationship, commonly known as the rating curve.
Rating curve is considered as an epitome of all the channel characteristics
Introduction, hydrologic cycle, climate and water m1Bibhabasu Mohanty
Introduction, Hydrologic cycle, Climate and water availability, Water balances,
Precipitation: Forms, Classification, Variability, Measurement, Data analysis, Evaporation and its measurement, Evapotranspiration and its measurement, Penman Monteith method. Infiltration: Factors affection infiltration, Horton’s equation and Green Ampt method.
It is based on Journal Paper named
"Mukherjee, M.K.2013, ’Flood Frequency Analysis of River Subernarekha, India, Using Gumbel’s extreme Value Distribution’, IJCER,Vol-3,Issue-7,pp-12-18."
I have studied the journal and make a PPT in the following.
I
This document discusses surface runoff, stream flow, hydrographs, and unit hydrographs. It begins by defining surface runoff and stream flow, explaining that surface runoff occurs when precipitation is unable to infiltrate the ground and flows overland into streams, rivers, and other bodies of water. It then discusses measuring stream flow through various methods like current meters and weirs to determine discharge. The document introduces the concept of hydrographs, which plot discharge over time, and unit hydrographs, which represent the hydrograph resulting from 1 unit of excess precipitation. It provides examples of using unit hydrographs and the S-curve method to develop hydrographs of different durations.
Stream flow representing the runoff phase of the hydrologic cycle is the most important basic data for hydrologic studies. Runoff is generated by rainstorms. Its occurrence and quantity are dependent on the characteristics of the rainfall event, i.e. intensity, duration and distribution. This module highlights about runoff components of the hydrological cycle.
This document discusses different methods for measuring and averaging rainfall over an area:
- Rainfall is measured using rain gauges and expressed as depth over an area.
- The arithmetic mean, Thiessen polygon, and isohyet methods are used to calculate average rainfall values from point measurements at rain gauge stations.
- The Thiessen polygon method assigns influence areas to each station based on the location of stations, and weights each measurement by its influence area.
- The isohyet method involves drawing lines of equal rainfall and calculating a weighted average based on the rainfall amounts and sizes of the areas between the lines.
This document provides an introduction to flood frequency analysis, which uses historical flood data to estimate the probability and recurrence intervals of future floods of given magnitudes. It discusses how flood frequency analysis is necessary for cost-effective design of bridges, dams, and other structures, as well as flood insurance and zoning. Two common methods for collecting flood data are described: annual peaks and partial duration series. Statistical approaches like the Weibull formula are commonly used to analyze the data and construct flood frequency curves showing the relationship between discharge magnitude and probability or recurrence interval.
This document provides an overview of hydrology and related concepts. It defines hydrology as the study of water on Earth, describes the hydrologic cycle of evaporation, precipitation, and runoff, and identifies the major sources and components of water. Measurement tools like rain gauges and types of precipitation such as orographic, convective, and cyclonic are explained. Factors affecting rainfall and important hydrologic terminology are also defined.
Flood routing is a technique to determine flood hydrographs downstream using data from upstream locations. As a flood wave moves through a river channel or reservoir, it is modified due to storage effects, resulting in attenuation of the peak and lag of the outflow hydrograph. Common flood routing methods include Modified Puls, Kinematic Wave, Muskingum, and Muskingum-Cunge. Dynamic routing uses the full St. Venant equations and requires numerical solutions. Selection of an appropriate routing method depends on characteristics of the channel/reservoir reach and complexity of analysis.
Storage reservoirs hold untreated water and can be used for purposes like irrigation. They are a basic component of water storage and flood control systems. Distribution reservoirs hold treated water for domestic and industrial use. They are a basic requirement for a good water distribution system and are meant to equalize demand fluctuations and maintain pressure in the system. The storage capacity of distribution reservoirs includes balancing storage for demand equalization, breakdown storage for emergencies, and fire storage. Reservoirs can be formed by dams or embankments and come in various shapes and sizes.
Application of Extreme Value Theory to Risk Capital Estimationdrstevenmorrison
This document summarizes a presentation on applying extreme value theory to estimate risk capital requirements. The presentation discusses how simulation-based capital estimates are uncertain due to random number seed selection. It then demonstrates how extreme value theory can provide a more robust estimate of value-at-risk by fitting a generalized Pareto distribution to simulation outputs above a threshold. This allows the statistical uncertainty of capital estimates to be quantified and reduces sensitivity to random number selection compared to empirical quantile methods. The presentation concludes that extreme value theory is a useful technique for simulation-based risk and capital modeling.
1) A function has an absolute maximum value on its domain if its value is greater than or equal to its value at all other points in its domain, and an absolute minimum value if its value is less than or equal to its value at all other points.
2) By the Extreme Value Theorem, if a function is continuous on a closed interval, it will have both an absolute maximum and minimum value within that interval. These extreme values can occur at interior points or endpoints.
3) A local extreme value of a function is a maximum or minimum value within a neighborhood of some interior point, where the function's derivative is equal to 0 or undefined at that point, according to the Local Extreme Value Theorem.
this is my presentation of hydraulic and water resources engineering. I have discussed in this ppt about network density for given rain gauge and calculations and index of witness.
There are three main types of recording rain gauges:
1) Tipping bucket gauges contain two buckets that tip when 0.25mm of rain is collected, actuating an electric circuit to mark rainfall on a revolving chart.
2) Weighing gauges use a spring-lever balance to move a pen across a chart as rainfall accumulates in a collecting tank.
3) Float gauges move a pen as rain fills a float chamber, with an overflow siphon chamber automatically draining excess water. The clockwork chart records rainfall over 24 hours.
Hydrologic data generally consist of a sequence of observations of some phase of the hydrologic cycle made at a particular site. The data may be a record of the discharge of a stream at a particular place, or it may be a record of the amount of rainfall caught in a particular rain gage.
Although for most hydrologic purposes a long record is preferred to a short one, the user should recognize that the longer the record the greater the chance that there has been a change in the physical conditions of the basin or in the methods of data collection. If these are appreciable, the composite record would represent only a nonexistent condition and not one that existed either before or after the change. Such a record is inconsistent.
This document discusses hydrographs and unit hydrographs. It defines a hydrograph as a graph showing the rate of flow versus time past a specific point in a river. It notes that hydrographs are commonly used in sewerage design. It then describes the components of a hydrograph including the rising limb, recession limb, peak discharge, lag time, and time to peak. Finally, it discusses unit hydrographs, defining a unit hydrograph as the runoff resulting from 1 unit of rainfall excess. It provides examples of deriving unit hydrographs from observed hydrographs and flood hydrographs.
This document discusses hydrographs and hydrological analysis for floods. It begins by defining a hyetograph as a plot of rainfall intensity over time that is used to understand storm characteristics. A hydrograph is then defined as a graph of discharge over time at a point in a river. Key components of a hydrograph are identified such as the rising and falling limbs, peak discharge, and basin lag time. Factors that influence the shape of a hydrograph include characteristics of the drainage basin like area, slope, soil type and land use. Methods for separating baseflow from surface runoff on a hydrograph are also presented. Finally, the concept of a unit hydrograph is introduced, which represents the hydrograph from 1cm of excess
This document discusses types of rain gauges used to measure rainfall. It describes non-automatic/non-recording rain gauges like Symon's rain gauge which collect rainfall manually. It also describes automatic/recording rain gauges like weighing bucket, tipping bucket, and float type gauges that record rainfall continuously without manual measurement. Recording gauges provide rainfall intensity over time through a pen on a rotating drum, while non-recording gauges only give total rainfall. Recording gauges do not require an attendant but are more expensive and prone to mechanical faults.
This document provides information about hyetographs and hydrographs. It defines a hyetograph as a graphical representation of rainfall intensity over time, showing total rainfall. A hydrograph shows variations in river discharge over time at a measurement point. It describes the components of hydrographs, including the rising and falling limbs and peak. It also discusses runoff classifications, the unit hydrograph concept for analyzing surface runoff, and key hydrograph terminology like time to peak, time of concentration, and lag time.
Hydrological cycle- Meteorological measurements – Requirements, types and forms of Precipitation-Rain Gauges-Spatial analysis of rainfall data using Thiessen and Isohyetal methods Infiltration-Infiltration Index-Interception-Evaporation, Watershed, catchment and basin - Catchment characteristics - factors affecting runoff – Runoff estimation using empirical
Extrapolation of Stage Discharge Rating CurveBiswajit Dey
An accurate stage–discharge relationship is necessary for design to evaluate the interrelationships of flow characteristics (depth and discharge)
The stage-discharge relationship also enables you to evaluate a range of conditions as opposed to a preselected design flow rate.
Continuous measurement of discharge in a river is a very costly, time-consuming, and impractical exercise, especially during floods.
Usually, to overcome limitations to continuous discharge measurement, observed stage data is converted into river discharge using a stage-discharge relationship, commonly known as the rating curve.
Rating curve is considered as an epitome of all the channel characteristics
Introduction, hydrologic cycle, climate and water m1Bibhabasu Mohanty
Introduction, Hydrologic cycle, Climate and water availability, Water balances,
Precipitation: Forms, Classification, Variability, Measurement, Data analysis, Evaporation and its measurement, Evapotranspiration and its measurement, Penman Monteith method. Infiltration: Factors affection infiltration, Horton’s equation and Green Ampt method.
It is based on Journal Paper named
"Mukherjee, M.K.2013, ’Flood Frequency Analysis of River Subernarekha, India, Using Gumbel’s extreme Value Distribution’, IJCER,Vol-3,Issue-7,pp-12-18."
I have studied the journal and make a PPT in the following.
I
This document discusses surface runoff, stream flow, hydrographs, and unit hydrographs. It begins by defining surface runoff and stream flow, explaining that surface runoff occurs when precipitation is unable to infiltrate the ground and flows overland into streams, rivers, and other bodies of water. It then discusses measuring stream flow through various methods like current meters and weirs to determine discharge. The document introduces the concept of hydrographs, which plot discharge over time, and unit hydrographs, which represent the hydrograph resulting from 1 unit of excess precipitation. It provides examples of using unit hydrographs and the S-curve method to develop hydrographs of different durations.
Stream flow representing the runoff phase of the hydrologic cycle is the most important basic data for hydrologic studies. Runoff is generated by rainstorms. Its occurrence and quantity are dependent on the characteristics of the rainfall event, i.e. intensity, duration and distribution. This module highlights about runoff components of the hydrological cycle.
This document discusses different methods for measuring and averaging rainfall over an area:
- Rainfall is measured using rain gauges and expressed as depth over an area.
- The arithmetic mean, Thiessen polygon, and isohyet methods are used to calculate average rainfall values from point measurements at rain gauge stations.
- The Thiessen polygon method assigns influence areas to each station based on the location of stations, and weights each measurement by its influence area.
- The isohyet method involves drawing lines of equal rainfall and calculating a weighted average based on the rainfall amounts and sizes of the areas between the lines.
This document provides an introduction to flood frequency analysis, which uses historical flood data to estimate the probability and recurrence intervals of future floods of given magnitudes. It discusses how flood frequency analysis is necessary for cost-effective design of bridges, dams, and other structures, as well as flood insurance and zoning. Two common methods for collecting flood data are described: annual peaks and partial duration series. Statistical approaches like the Weibull formula are commonly used to analyze the data and construct flood frequency curves showing the relationship between discharge magnitude and probability or recurrence interval.
This document provides an overview of hydrology and related concepts. It defines hydrology as the study of water on Earth, describes the hydrologic cycle of evaporation, precipitation, and runoff, and identifies the major sources and components of water. Measurement tools like rain gauges and types of precipitation such as orographic, convective, and cyclonic are explained. Factors affecting rainfall and important hydrologic terminology are also defined.
Flood routing is a technique to determine flood hydrographs downstream using data from upstream locations. As a flood wave moves through a river channel or reservoir, it is modified due to storage effects, resulting in attenuation of the peak and lag of the outflow hydrograph. Common flood routing methods include Modified Puls, Kinematic Wave, Muskingum, and Muskingum-Cunge. Dynamic routing uses the full St. Venant equations and requires numerical solutions. Selection of an appropriate routing method depends on characteristics of the channel/reservoir reach and complexity of analysis.
Storage reservoirs hold untreated water and can be used for purposes like irrigation. They are a basic component of water storage and flood control systems. Distribution reservoirs hold treated water for domestic and industrial use. They are a basic requirement for a good water distribution system and are meant to equalize demand fluctuations and maintain pressure in the system. The storage capacity of distribution reservoirs includes balancing storage for demand equalization, breakdown storage for emergencies, and fire storage. Reservoirs can be formed by dams or embankments and come in various shapes and sizes.
Application of Extreme Value Theory to Risk Capital Estimationdrstevenmorrison
This document summarizes a presentation on applying extreme value theory to estimate risk capital requirements. The presentation discusses how simulation-based capital estimates are uncertain due to random number seed selection. It then demonstrates how extreme value theory can provide a more robust estimate of value-at-risk by fitting a generalized Pareto distribution to simulation outputs above a threshold. This allows the statistical uncertainty of capital estimates to be quantified and reduces sensitivity to random number selection compared to empirical quantile methods. The presentation concludes that extreme value theory is a useful technique for simulation-based risk and capital modeling.
1) A function has an absolute maximum value on its domain if its value is greater than or equal to its value at all other points in its domain, and an absolute minimum value if its value is less than or equal to its value at all other points.
2) By the Extreme Value Theorem, if a function is continuous on a closed interval, it will have both an absolute maximum and minimum value within that interval. These extreme values can occur at interior points or endpoints.
3) A local extreme value of a function is a maximum or minimum value within a neighborhood of some interior point, where the function's derivative is equal to 0 or undefined at that point, according to the Local Extreme Value Theorem.
Precipitation occurs when moisture in the atmosphere condenses and falls to the surface. The main types of precipitation are rain, snow, hail, fog, dew, mist, glaze, rime, sleet. Precipitation is measured using rain gauges, snow gauges, radars, and satellites. Rain gauges include non-recording and recording types like tipping bucket, weighing, and float gauges. Recording gauges provide rainfall duration and intensity data in addition to total amounts.
Application Of Extreme Value Theory To Bursts PredictionCSCJournals
Bursts and extreme events in quantities such as connection durations, file sizes, throughput, etc. may produce undesirable consequences in computer networks. Deterioration in the quality of service is a major consequence. Predicting these extreme events and burst is important. It helps in reserving the right resources for a better quality of service. We applied Extreme value theory (EVT) to predict bursts in network traffic. We took a deeper look into the application of EVT by using EVT based Exploratory Data Analysis. We found that traffic is naturally divided into two categories, Internal and external traffic. The internal traffic follows generalized extreme value (GEV) model with a negative shape parameter, which is also the same as Weibull distribution. The external traffic follows a GEV with positive shape parameter, which is Frechet distribution. These findings are of great value to the quality of service in data networks, especially when included in service level agreement as traffic descriptor parameters.
This document presents a quantitative analysis of orographic precipitation over the Himalayas using TRMM/PR satellite data and a dense network of rain gauges from APHRODITE. The study compares 10 years of monthly TRMM/PR precipitation data to APHRODITE rain gauge observations in 0.05 degree grids. It finds TRMM/PR significantly underestimates summer precipitation over the Himalayas compared to rain gauges. Correlations between the two datasets vary by elevation zone, with TRMM/PR underestimating in most zones except some lower elevations in spring. The monthly PR climatology is adjusted based on regressions with rain gauges and filtered considering slope aspects. The final dataset
Flood frequency analysis of river kosi, uttarakhand, india using statistical ...eSAT Journals
Abstract In the present study, flood frequency analysis has been applied for river Kosi in Uttarakhand. The river Kosi is an important tributary of Ganga river system, which arising from Koshimool near Kausani, Almora district flows on the western side of the study area and to meet at Ramganga River. The annual flood series analysis has been carried out to estimate the flood quantiles at different return period at Kosi barrage site of river Kosi. The statistical approach provided a significant advantage of estimation of flood at any sites in the homogenous region with very less or no data. In the at –site analysis of annual flood series the Normal, Log normal, Pearson type III, Log Pearson type III, Gumbel and Log Gumbel distribution were applied using method of moments . From the analysis of different goodness of fit tests, it has been found that the Log Gumbel distribution with method of moment as parameters estimation found to be the best-fit distribution for Kosi River and other sites in the region. It is recommended that the regional parameters for Kosi Basin may be used only for primary estimation of flood and should be reviewed when more regional data available. Keywords: Flood Frequency Analysis, River Kosi, Annual Peak Flood discharge, Return Period, Goodness of fit Test.
This study used artificial neural networks (ANNs) and instance-based learning (IBL) models to forecast significant wave heights 1, 3, and 6 hours ahead using wind and wave data from buoys located in the Caspian Sea. The ANNs performed slightly better than the IBL models. The models performed better at a deep water location compared to a shallow water location near the coast, where other environmental factors may influence wave patterns beyond wind conditions alone. While the data-driven methods showed potential, more comprehensive historical data could improve the accuracy of wind-wave forecasting in the Caspian Sea region.
This document defines and discusses absolute and local extreme values of functions. It states that absolute extrema (global maximum and minimum values) can occur at endpoints or interior points of an interval, but a function is not guaranteed to have an absolute max or min on every interval. The Extreme Value Theorem says that if a function is continuous on a closed interval, it will have both an absolute maximum and minimum value. Local extrema are defined as maximum or minimum values within an open neighborhood of a point, and the theorem is presented that if a function has a local extremum at an interior point where the derivative exists, the derivative must be zero at that point. Critical points are defined as points where the derivative is zero or undefined. Methods
This document discusses Markov chains, which are a type of stochastic process used to model randomly changing systems. It defines Markov chains and their key properties, like the Markov property and transition probabilities. It provides examples like modeling customer purchases over time and inventory management. It also covers concepts like steady state probabilities, transition matrices, and mean first passage times.
One–day wave forecasts based on artificial neural networksJonathan D'Cruz
The document summarizes a study that uses artificial neural networks (ANNs) to generate 24-hour wave forecast based on wave buoy data from 6 locations. It trains ANNs using over 12 years of wave height data from the buoys as input, and forecasts wave heights up to 24 hours ahead as output. The ANNs are able to generate reliable 6-12 hour forecasts, but longer-term forecasts tend to underestimate peak heights or delay their timing. Real-time predictions starting in April 2005 showed similar trends.
1) Artificial neural networks are made up of nodes that pass signals through connection links. Each node applies an activation function to determine its output signal.
2) Neural networks can be classified based on number of layers (single, bi-layer, multi-layer) or direction of information flow (feed forward, recurrent).
3) Backpropagation is commonly used for training, which involves passing inputs forward and propagating errors backward to adjust weights. Other algorithms like conjugate gradient and radial basis function training also exist.
Water in the Western United States - California: A Case StudyJonathan D'Cruz
California uses more water than any other state in the US
Each Californian uses an average of 181 gallons of water each day against the national average of 80-100 gallons each day
More water is used each day for irrigation than any other category
Total water use has been declining since the 1980s
California has been the state with the largest water use in the US since the USGS began compiling water-use data in 1950
2150602 hwre 150113106007-008 (HYDROLOGY & WATER RESOURCE ENGINEERING)Jaydeep Dave
This document provides information on hydrologic analysis and flood estimation techniques. It discusses design floods such as the spillway design flood, standard project flood, and probable maximum flood. Methods of flood estimation described include empirical formulas, the rational method, flood frequency analysis, watershed models, and the unit hydrograph approach. Flood routing techniques are also summarized, including reservoir routing using the continuity equation and channel routing accounting for prism and wedge storage volumes. References used in preparing the document are listed.
Introduce variable/ Indices using landsat imageKabir Uddin
Image Index is a “synthetic image layer” created from the existing bands of a multispectral image. This new layer often provides unique and valuable information not found in any of the other individual bands.
Image index is a calculated result or generated product from satellite band/channels
It helps to identify different land cover from mathematical definition .
SUMMER INTERNSHIP PROJECT WITH MONGINIS FOODS PVT.LTDAbhijit Jaitapkar
This document summarizes Anchal Chowdhary's summer internship project with Monginis Foods Pvt. Ltd. The objectives of the study were to identify elements customers notice in Monginis stores, points of differentiation across locations, and ways to standardize the customer experience. Through questionnaires and store visits across Mumbai, the intern collected data on touch points, service quality, and prices across stores. Limitations included a short internship duration and inability to access all company data. The intern's recommendations aimed to improve uniformity based on analyses of customer and employee feedback.
Neural networks for the prediction and forecasting of water resources variablesJonathan D'Cruz
This document reviews the use of artificial neural networks (ANNs) for predicting and forecasting water resource variables. It outlines the key steps in developing ANN models, including choosing performance criteria, preprocessing and dividing data, determining appropriate model inputs and network architecture, optimizing connection weights through training, and validating models. Specifically, it focuses on feedforward networks with sigmoid transfer functions, which have been most widely used for predicting water resources variables.
This document discusses Markov chains and provides examples. It introduces random walks on graphs, lines and hypercubes. It also discusses Markov chains on graph colorings and matchings. The definition of Markov chains involves a state space, transition matrix and stationary distribution. Examples are given including a frog on lily pads and gambler's ruin problem. The coupon collecting problem is also discussed as a Markov chain.
A Level Physics - Telecommunications - A Basic Introduction
Sound waves
Microphones
Receivers and transmitters
Amplitude modulation (am)
Frequency modulation (fm)
MICROWAVES
Satellite Communication
Optical fibers
Attenuation
The Public Switched Telephone Network
This document summarizes a crime mapping and analysis project conducted for the Georgia Tech Police Department. The objectives were to map crime incidents from 2010-2015, identify crime hot spots, and direct police resources. Crime data was cleaned, geocoded and analyzed in ArcGIS. Point density analysis identified the most crime-heavy grids, with the area around Student Center, Ferst Drive, and North Avenue Apartments among the highest. The analysis can help GTPD better deploy patrols and resources to reduce crime in these locations.
The document summarizes research investigating sediment bypassing rates around submarine canyons along the Santa Barbara Littoral Cell coast. The research aims to determine the quantity of littoral drift that bypasses canyons versus the amount captured by modeling hydrodynamics and sediment transport. The methodology includes setting up a 2D hydrodynamic model of the region forced by simplified tidal and wave conditions. Multiple model runs are performed with different wave conditions to analyze residual currents and longshore sediment transport rates with and without canyons.
Changes in the hydrologic cycle due to increase in greenhouse gases cause variations in intensity, duration, and frequency of precipitation events. Quantifying the potential effects of climate change and adapting to them is one way to reduce urban vulnerability. Since rainfall characteristics are often used to design water structures, reviewing and updating rainfall characteristics (i.e., Intensity–Duration–Frequency (IDF) curves) for future climate scenarios is necessary. The present study regards the evaluation of the IDF curves for Four raingauge stations of Bangalore rural : Anugondanahalli, Devanahally, Doddabalapura and Hoskote. Starting from daily rainfall observed data, to define the IDF curves and the extreme values in a smaller time window (2, 5, 10, 15, 30, 60, 120, 720, 1440 minutes), disaggregation techniques of the collected data have been used, in order to generate a synthetic sequence of rainfall, with statistical properties similar to the recorded data. Then, the rainfall pattern of the Four raingauge stations was analyzed and IDF curves were evaluated
This document provides rainfall and pumping data for dewatering pits at the PT Ulimanitra - Muara Alam Sejahtera site in Lahhat, Indonesia. It includes historical rainfall statistics from 2003-2016, current water levels and volumes in Blocks 2-3, pump specifications, calculations of pump flow rates and run times under normal and extreme rainfall conditions, and projected pumping requirements. The pumping needs are estimated to be a MultiFlo CF48 pump operating for 12-19 days to dewater the pits depending on whether rains occur during pumping.
The document discusses a study of urban microclimates in Greater Hyderabad, India. It includes definitions of microclimate and urban microclimate. It notes factors that influence urban microclimates like land use, pollution, and building structure. It reviews previous literature on urban climate and microclimate studies. The objectives are to conduct an in-depth analysis of temperature, rainfall, humidity, wind speed, sunlight, and atmospheric pressure in Greater Hyderabad using remote sensing and GIS techniques. The methodology section outlines the data collection and analysis plan to achieve these objectives.
Engineering infrastructures such as storm water drains and bridges are commonly designed using the concept of Intensity-Duration-Frequency (IDF) curves, which assume that the occurrence of precipitation patterns and distributions are spatially similar within the drainage area and remain unchanged throughout the lifespan of the infrastructures (stationary). Based on the premise that climate change will alter the spatial and temporal variability of precipitation patterns, inaccuracy in the estimation of IDF curves may occur. As such, prior to developing IDF curves, it is crucial to analyse trends of annual precipitation maxima. The objective of this study was to estimate the precipitation intensities and their uncertainties (lower and upper limits) for durations of 5min, 10min, 15min, 30min, 60min,120min, 720min and 1440min and return periods of 2, 5, 10, 25, 50, 75 and 100 years in the Upper Cauvery Karnataka India using Pearson type III Values . The annual precipitation maxima were extracted from long-term (1995–2017) precipitation data for Forty Three meteorological stations sourced from the Water resources Development Organization Karnataka. On average, the estimated extreme precipitation intensities for the Study area ranged from 5.1 mm/h for 24 h storm duration to 226.01 mm/h for 5min at 100 years return period. At 50 year return period, the intensity ranged from 5.2 mm/h for 24h duration to 225 mm/h for the duration of 5min.
Derivation Of Intensity Duration Frequency Curves Using Short Duration Rainfa...Mohammed Badiuddin Parvez
The estimation of rainfall intensity is commonly required for the design of hydraulic and water resources engineering control structures. The intensity-duration-frequency (IDF) relationship is a mathematical relationship between the rainfall intensity, the duration and the return period. The present study aimed the derivation of IDF curves of Yermarus Raingauge Station of Raichur District with 19 years of rainfall data (1998 to 2016). The Normal Distribution, Log Normal Distribution, Gumbel distribution, Pearson Type III Distribution and Log Pearsons Type III Distribution techniques are used to Find the rainfall intensity values of 2, 5, 10, 15, 30, 60, 120, 720, 1440 minutes of rainfall duration with different return period. Chi Square test was conducted to find the goodness of fit the short duration IDF using daily rainfall data are presented, which is input for water resources projects.
The document discusses measuring the viscosity of liquid water at different temperatures. As temperature increases, viscosity decreases. New measurements were made between 5-100°C. A revised correlation function represents viscosity as a function of temperature and molar volume, with a standard deviation of ±0.3% compared to previous studies. Several models (linear, polynomial, exponential) are fitted to the viscosity and temperature data to determine the best fit. The polynomial model with an R2 value of 0.9861 provided the closest fit to the data.
This document discusses rainfall (presipitasi) in Indonesia. It defines presipitasi as water falling from the atmosphere to Earth's surface, including rain, snow, fog, dew and hail. In tropical areas like Indonesia, the main contributor is rain. Rain occurs when moist air rising in the atmosphere cools and condenses. Factors like wind, temperature, atmospheric and local pressures influence rainfall amounts. The types of rain discussed are convective (from air masses lifted by heating), cyclonic (from uneven solar heating creating pressure systems), and orographic (from moist air lifted over mountains). Methods for measuring and analyzing rainfall data using rainfall stations are also outlined.
This document summarizes the design of a micro-satellite launch vehicle capable of delivering a 10 kg payload to low Earth orbit (LEO). The design uses two stages with hypergolic propellant in the first stage and liquid oxygen and kerosene in the second stage. Through analysis and simulation, general design parameters were established including dimensions, propulsion specifications, structural mass ratios, and center of mass moment of inertia. An optimization process varied the first stage delta-V to determine the minimum gross liftoff mass of the overall design.
This document provides information on the proposed 4.5 MW BKHP run-of-river hydropower project located in Nepal. Key details include the project capacity, location, catchment area, mean monthly flows, flood flows, estimated annual energy generation of 28.2 GWh, and power evacuation plan through a 20 km long 33kV transmission line. Hydrological data was obtained through correlation with nearby gauging stations due to the lack of long-term data from the project site itself.
Unit Hydrograph (UH) is the most famous and generally utilized technique for analysing and deriving flood hydrograph resulting from a known storm in a basin area. For ungauged catchments, unit hydrograph are derived using either regional unit hydrograph approach. Central Water Commission (CWC) derived the regional unit hydrograph relationships for different sub-zones of India relating to the various unit hydrograph parameters with some prominent physiographic characteristics. In this study, the lately developed UH model is applied located between Latitude 15º54′2′′ N to 16º16′19′′ N Latitude and 76º48′40′′ E to77º4′21′′ E Longitude. The study area covers an area of 466.02 km2, having maximum length of 36.5 km. The maximum and minimum elevation of the basin is 569 m and 341 m above MSL, respectively. The Peak discharge of unit hydrograph obtained is 171.58m3/s. The final cumulative discharge is 1669.05 m3/s.
Intensity–duration–frequency (IDF) curves are among the most demandable information in meteorology, hydrology and engineering water resources design, planning, operation, and management works. The IDF Curves accessible are for the most part done by fitting arrangement of yearly greatest precipitation force to parametric dispersions. Intensity-durationfrequency (IDF) curves represent the relationship between storm intensity, storm duration and return period. Environmental change is relied upon to intensify the boundaries in the atmosphere factors. Being prone to harsh climate impacts, it is very crucial to study extreme rainfall-induced flooding for short durations over regions that are rapidly growing. One way to approach the extremes is by the application of the Intensity-Duration-Frequency (IDF) curves. The annual maximum rainfall intensity (AMRI) characteristics are often used to construct these IDF curves that are being used in several infrastructure designs for urban areas. Thus, there is a necessity to obtain high temporal and spatial resolution rainfall information. Many urban areas of developing countries lack long records of short-duration rainfall. The shortest duration obtained is normally at a daily scale/24 h. This paper suggests their generation based on annual daily maximum rainfall (ADMR) records. Rainfall data of 23 (Twenty three) hydrological years of all stations were used. Maximum rainfall frequency analysis was made by LogNormal Distribution method.
In this study the calculation procedure and comparative results of IDF curves for the area of Mandya are presented. Rainfall data of 19 (Ninteen) hydrological years of stations Srirangapatna, Kikkere and Bindganarole were used. Maximum rainfall frequency analysis was made by Four methods (Normal, Gumbel, Pearson type III and logarithmic Pearson type III) and subsequently the IDF curves with Four methods (two forms of excessive functions and a polynomial function) were exported. Finally, comparative testing with the IDF which were prepared by Chisquare test and it was found that the log-normal distribution suits the best fit for all the stations considered.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
This document analyzes statistical parameters and computes runoff peaks for different return periods using rainfall data from the Kaneri watershed in Maharashtra, India. It examines the annual rainfall series from 1966-2011 to determine trends and distributions. Moving average rainfall over 10-year periods is calculated and tested for mean shifts. Runoff values for 50-year and 100-year return periods are computed using different statistical distributions and an extreme value type III distribution model. The results are intended to provide a robust hydrological understanding to support water resource planning and management decisions.
Preventing Malaria Outbreak for Soldiers Deployed to Liberia Joe Bosse
This memorandum analyzes three courses of action (COAs) to prevent a malaria outbreak among soldiers deployed to Liberia. It recommends COA B, which focuses on eliminating mosquito breeding grounds, as the most effective option. COA B was found to reduce the mosquito population from an initial 10 million to around 6 million after 6 months and 12 months, minimizing risks to human health and the environment over the long term. While labor-intensive, draining breeding sites was deemed more cost-effective than insecticide spraying. COA B achieves the commander's objectives of short and long-term mosquito control in a sustainable manner.
1. The document describes the Nakayasu unit hydrograph method for calculating peak discharge values. It provides the Nakayasu equation and defines the parameters.
2. It then applies the Nakayasu method to calculate hydrographs for the Deli River basin in Medan, Indonesia using basin characteristics and rainfall data. Discharge values are calculated for different time intervals on the hydrograph curve.
3. Tables of results show the calculated hydrographs for return periods of 2 years and 5 years, with discharge values over time.
Wavelet bootstrap Multiple linear regression modelsVinit Sehgal
This document summarizes a study that developed and compared multiple linear regression models using wavelet transforms and bootstrap techniques for flood forecasting in the Mahanadi river basin in India.
Key aspects of the study included: (1) Selecting significant input variables and wavelets for model development based on correlation analysis, (2) Developing wavelet-bootstrap and wavelet models and comparing their performance to traditional models over lead times of 1-5 days, (3) Finding that wavelet-bootstrap models using the db45 wavelet and incorporating antecedent data outperformed other models with errors below 5% and RMSE below 400 m3/s for 1-day forecasts.
Flux optimization in air gap membrane distillation system for water desalina...Dahiru Lawal
The document summarizes research on optimizing an air gap membrane distillation (AGMD) system for desalination. The researcher conducted experiments to investigate how operating parameters like feed temperature, coolant temperature, feed flow rate, coolant flow rate, and air gap width affect permeate flux. Using Taguchi experimental design, the maximum flux of 76 kg/m2h was achieved at 80°C feed temperature, 20°C coolant temperature, 5 L/min feed flow rate, 2 L/min coolant flow rate, and 3mm air gap width. Regression analysis showed the model could predict experimental flux values within 10%. The researcher concluded temperature differences between feed and coolant most affected flux, while coolant flow
The document contains two tables providing future value interest factors for one dollar and one dollar annuities compounded at various interest rates over different periods of time. Table A-1 shows the future value of $1 invested at rates from 1% to 30% over periods from 1 to 30 years. Table A-2 shows the future value of a $1 annuity invested at the same rates and periods. The tables allow users to determine the future values of single investments and annuities based on the interest rate and time period.
Similar to Extreme value distribution to predict maximum precipitation (20)
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Setup Warehouse & Location in Odoo 17 Inventory
Extreme value distribution to predict maximum precipitation
1. EXTREME VALUE DISTRIBUTION TO DETERMINE MAXIMUM PRECIPITATION FOR DIFFERENT RETURN PERIODS By Jonathan Anthony D’Cruz Guided by Prof. Shreenivas N. Londhe Professor In Civil Engineering And Dean (Academics)