Rainfall-Runoff Modelling Using Artificial Neural Network: A Case Study of Purna Sub-catchment, India
Rainfall-runoff modeling is crucial in understanding the relationship between rainfall and runoff. This study focuses on developing a rainfall-runoff model for the Upper Tapi basin in India using Artificial Neural Networks (ANNs). ANNs mimic the human brain's capabilities and have been widely used i
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Overview of Army Modeling and Simulation Office
The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod
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Factors Affecting the Hydrological Cycle: Understanding Physical and Human Influences
The hydrological cycle is influenced by both physical and human factors. Physical factors such as relief, vegetation, basin size, rock type, soil type, and climate all play a role in shaping the movement of water through the cycle. Human activities like forestry, urbanization, deforestation, mining,
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Capacity Zone Modeling for Forward Capacity Auction 17 Results
This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr
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Distribution Feeder Modeling and Analysis Overview
This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation
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Understanding Reach Characteristics in HEC-HMS Basin Modeling
Reach characteristics play a crucial role in hydrological modeling using HEC-HMS. Georeferenced reaches are essential for computing reach characteristics like slope, sinuosity, relief, and more. The process involves pre-processing drainage data before detailed reach characteristics can be obtained.
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Understanding Data Modeling vs Object Modeling
Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm
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Evolution of Modeling Methodologies in Telecommunication Standards
Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat
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Understanding the Hydrological Cycle: An Introduction by Ayansa T.
Ayansa T., a lecturer at Ambo University Woliso Campus, provides an insightful overview of the hydrological cycle in this introduction. Exploring the stages of the cycle, such as precipitation, infiltration, and evaporation, Ayansa delves into the water budget equation and its importance in hydrolog
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Understanding Geometric Modeling in CAD
Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each
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Understanding Subbasin Characteristics in HEC-HMS
Subbasin characteristics play a crucial role in hydrological modeling within HEC-HMS. Before computing these characteristics, the basin model must have georeferenced subbasins in the GIS. Various parameters such as basin slope, relief, elongation ratio, drainage density, and flowpath lengths and slo
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Mathematical Modeling and Error Analysis in Engineering
Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces
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Introduction to Dynamic Structural Equation Modeling for Intensive Longitudinal Data
Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu
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System Modeling and Simulation Overview
This content provides insights into CPSC 531: System Modeling and Simulation course, covering topics such as performance evaluation, simulation modeling, and terminology in system modeling. It emphasizes the importance of developing simulation programs, advantages of simulation, and key concepts lik
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Understanding Object Modeling in Software Development
Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie
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Coupled Ocean-Atmosphere Modeling on Icosahedral Grids
Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such
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Bayesian Methodology for Soil Parameters Retrieval from SAR Images
Surface soil moisture retrieval is crucial for various applications such as climatic modeling, hydrological studies, and agronomy. This work focuses on developing a soil moisture retrieval algorithm using the SAOCOM L-Band polarimetric SAR system in Argentina. Limiting factors include spatial variab
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Baikal Selenga Network (BaSeNet) - Hydrologic Research Program in PEEX
Baikal Selenga Network (BaSeNet) is a subprogram under PEEX focusing on studying waterborne matter transport in the Lake Baikal and Selenga River Drainage Basin. The program aims to quantify hydro-climatic impacts on large scales, utilizing a monitoring and modeling platform. Research objectives inc
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Fire and Smoke Modeling Evaluation Effort (FASMEE) Overview
FASMEE is a collaborative project aimed at assessing and advancing fire and smoke modeling systems through critical measurement techniques and observational data. Led by key technical leads, FASMEE focuses on diverse modeling areas such as fire growth, effects, coupled fire-atmosphere behavior, smok
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Understanding Spatial Extremes: Complex Time Methods in Hydro-Atmospheric Dynamics
This study explores the use of complex time methods and chameleon scalar fields in understanding and modeling spatial extremes in hydrological and atmospheric systems. By transforming Lagrangian processes and introducing chameleon scalar fields, the research unveils new insights into the mechanism g
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Subarea and Highway Corridor Studies: Travel Demand Modeling and Refinements
In this lesson, we delve into subarea and corridor studies focusing on travel demand model refinements, highway network coding, corridor congestion relief, and trip assignment theory. Subarea modeling plays a crucial role in forecasting travel within smaller regions with detailed traffic patterns, t
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Essential Steps for Setting up a Modeling Study
Ensure clarity on modeling goals and uncertainties. Select sample areas strategically based on interest and available data. Determine appropriate resolution for modeling. Define variables to model and validate the model effectively. Assess sample data adequacy and predictor variables availability. E
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Water Storage Tanks Hydraulic Modeling and Water Quality Considerations
This presentation by Justine Carroll, P.E., Project Manager, focuses on the hydraulic modeling and water quality considerations related to water storage tanks. It covers topics such as water age evaluation, steady state modeling, extended period simulations, pump controls, demand patterns, EPS verif
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Advancing Computational Modeling for National Security and Climate Missions
Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re
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Flexible Framework for Stormwater Lids Modeling
A new flexible framework for forward and inverse modeling of stormwater lids is presented. It includes governing equations, hydraulic and contaminant transport, numerical methods, and demonstration cases for various green infrastructure components. The importance of different processes in modeling i
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Evaluation of Soil Moisture Estimates from Satellite-Based Products
The study evaluates soil moisture estimates from satellite-based products over two network regions. Soil moisture is crucial for the hydrological cycle, necessitating continuous monitoring due to its spatial and temporal variability. Remote sensing is utilized to gather information without physical
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Understanding Spatio-Temporal Dynamics of Hydrological Processes at IIT Roorkee
This study conducted at the Indian Institute of Technology Roorkee focuses on modeling and understanding hydrological processes, particularly in estimating antecedent moisture in the Runoff Curve Number methodology. The research delves into the historical background of the Soil Conservation Service
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Sustainability and Organic Livestock Modeling for Global Food Security
The research presented at the 18th Organic World Congress in Istanbul delves into the Sustainability and Organic Livestock (SOL-m) modeling approach developed by FAO and FiBL. The study aims to explore the potential impacts of global conversion to organic livestock production by 2050 on food securit
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Exploring the Hydrological Cycle and Aquatic Environments
Dive into the fascinating world of the hydrosphere with a comprehensive look at the hydrological cycle, water properties, hydrology, salinity, aquatic biomes, and ocean facts. Discover how water moves through Earth's spheres, the distribution of freshwater, the significance of oceans, and their role
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Understanding Automated Speech Recognition Technologies
Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy
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Quantitative Morphometric Analysis in Geomorphology
Quantitative morphometric analysis in geomorphology focuses on measuring and mathematically analyzing the earth's surface configuration and landform dimensions. It involves using GIS techniques to assess terrain parameters and drainage systems, providing valuable insights into watershed characterist
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Understanding the Hydrological Cycle in Geography Education
Delve into the intricacies of the hydrological cycle within the hydrosphere, learning about the processes, factors, and impacts associated with water movement in urban and rural areas. Explore the concept of hydrology, drainage basins, hydrographs, and the water cycle powered by the sun. Enhance you
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Understanding the Hydrological Cycle in Advanced Agro-Hydro-Meteorology
The hydrological cycle involves the continuous movement of water on, above, and below the Earth's surface, encompassing various realms such as the biosphere, atmosphere, cryosphere, lithosphere, and hydrosphere. This cycle describes the storage and movement of water within different Earth systems an
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Update on Modeling and Coordination Discussions
Weekly coordination calls with Ramboll and discussions with EPA OAQPS leads focused on Regional Haze and modeling adjustments. Final draft of procedures document with visibility projections and glide slope adjustments. Upcoming RTOWG meetings covering methodology, projections, and modeling evaluatio
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Importance of Data Modeling in Industrial Information Systems
Introduction to data modeling and design in Industrial Information Systems at King Saud University College of Engineering. The chapter covers the significance of data modeling, capturing data characteristics, structural information, and the role of databases and DBMS. Data modeling fills crucial gap
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Understanding Climate System Response to Perturbations: Insights from Hugues Goosse's Chapter 4
Hugues Goosse's Chapter 4 delves into the response of the climate system to perturbations, emphasizing radiative forcing, greenhouse gases, aerosols, and their impacts on Earth's radiative budget. The chapter intricately describes physical feedbacks, interactions involving energy balance, hydrologic
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Mega-Modeling for Big Data Analytics
Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive
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Understanding the Importance of Calibration in Hydrological Modeling
Hydrological models require calibration to adjust parameters for better representation of real-world processes, as they are conceptual and parameters are not physically measurable. Calibration involves manual trial and error or automatic optimization algorithms to improve model accuracy. Objective f
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NetLogo - Programmable Modeling Environment for Simulating Natural and Social Phenomena
NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo
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Reservoir Modeling Using Gaussian Mixture Models
In the field of reservoir modeling, Gaussian mixture models offer a powerful approach to estimating rock properties such as porosity, sand/clay content, and saturations using seismic data. This analytical solution of the Bayesian linear inverse problem provides insights into modeling reservoir prope
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