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Author: Anil Kumar
Publisher: Springer Nature
Published:
Total Pages: 293
ISBN-13: 981999408X
DOWNLOAD EBOOKDownload or read book Python for Water and Environment written by Anil Kumar and published by Springer Nature. This book was released on with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Omid Bozorg-Haddad
Publisher: Springer Nature
Published: 2022-07-08
Total Pages: 547
ISBN-13: 9811925194
DOWNLOAD EBOOKThis book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.
Download or read book Computational Intelligence for Water and Environmental Sciences written by Omid Bozorg-Haddad and published by Springer Nature. This book was released on 2022-07-08 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.
Author: Zed A. Shaw
Publisher: Addison-Wesley Professional
Published: 2017-06-26
Total Pages: 752
ISBN-13: 0134693906
DOWNLOAD EBOOKYou Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
Download or read book Learn Python 3 the Hard Way written by Zed A. Shaw and published by Addison-Wesley Professional. This book was released on 2017-06-26 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
Author: Johnny Wei-Bing Lin
Publisher: Lulu.com
Published: 2012
Total Pages: 209
ISBN-13: 130007616X
DOWNLOAD EBOOKThis book is a mini-course for researchers in the atmospheric and oceanic sciences. "We assume readers will already know the basics of programming... in some other language." - Back cover.
Download or read book A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences written by Johnny Wei-Bing Lin and published by Lulu.com. This book was released on 2012 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a mini-course for researchers in the atmospheric and oceanic sciences. "We assume readers will already know the basics of programming... in some other language." - Back cover.
Author:
Publisher:
Published: 2000
Total Pages: 440
ISBN-13:
DOWNLOAD EBOOKPapers presented at the 11th Annual Congress of Asia-Pacific Forum of Environmental Journalists and 2nd Congress of Commonwealth Environmental Journalists Association.
Download or read book Water and Environment written by and published by . This book was released on 2000 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at the 11th Annual Congress of Asia-Pacific Forum of Environmental Journalists and 2nd Congress of Commonwealth Environmental Journalists Association.
Author: Mourade Azrour
Publisher: Springer Nature
Published:
Total Pages: 275
ISBN-13: 3031524195
DOWNLOAD EBOOKDownload or read book Sustainable and Green Technologies for Water and Environmental Management written by Mourade Azrour and published by Springer Nature. This book was released on with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Karmaoui, Ahmed
Publisher: IGI Global
Published: 2023-12-18
Total Pages: 504
ISBN-13: 1668498405
DOWNLOAD EBOOKWater, soil, plants, and animals are the main pillars that support global food security. Plants grow using nutrients from water and soil resources and then used by animals which affects them consequently. Water is the essential condition of life for all living beings, and soil is its support and a crucial reservoir. The interactions between the Water-Soil-Plant-Animal nexus and climate change are of increasing concern to scholars, decision-makers, and researchers. The impacts of climate change on these resources include water and soil quality degradation, infectious disease, shortage, desertification, and erosion. These impacts are accelerated due to human pressure through over-use and pollution. Water-Soil-Plant-Animal Nexus in the Era of Climate Change includes relevant theoretical approaches, empirical research, and bibliometric and bibliographic methods to bring together affordable methods and techniques to optimize the use of the nexus in the context of climate change. It presents an inventory of techniques and practices in the field, and introduces an opportunity to discuss the strengths and weaknesses of these techniques, making it ideal for scholars, researchers, planners, and decision-makers.
Download or read book Water-Soil-Plant-Animal Nexus in the Era of Climate Change written by Karmaoui, Ahmed and published by IGI Global. This book was released on 2023-12-18 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water, soil, plants, and animals are the main pillars that support global food security. Plants grow using nutrients from water and soil resources and then used by animals which affects them consequently. Water is the essential condition of life for all living beings, and soil is its support and a crucial reservoir. The interactions between the Water-Soil-Plant-Animal nexus and climate change are of increasing concern to scholars, decision-makers, and researchers. The impacts of climate change on these resources include water and soil quality degradation, infectious disease, shortage, desertification, and erosion. These impacts are accelerated due to human pressure through over-use and pollution. Water-Soil-Plant-Animal Nexus in the Era of Climate Change includes relevant theoretical approaches, empirical research, and bibliometric and bibliographic methods to bring together affordable methods and techniques to optimize the use of the nexus in the context of climate change. It presents an inventory of techniques and practices in the field, and introduces an opportunity to discuss the strengths and weaknesses of these techniques, making it ideal for scholars, researchers, planners, and decision-makers.
Author: Scott D. Christensen
Publisher:
Published: 2016
Total Pages: 105
ISBN-13:
DOWNLOAD EBOOKAdvances in water resources modeling are improving the information that can be supplied to support decisions that affect the safety and sustainability of society, but these advances result in models being more computationally demanding. To facilitate the use of cost- effective computing resources to meet the increased demand through high-throughput computing (HTC) and cloud computing in modeling workflows and web applications, I developed a comprehensive Python toolkit that provides the following features: (1) programmatic access to diverse, dynamically scalable computing resources; (2) a batch scheduling system to queue and dispatch the jobs to the computing resources; (3) data management for job inputs and outputs; and (4) the ability for jobs to be dynamically created, submitted, and monitored from the scripting environment. To compose this comprehensive computing toolkit, I created two Python libraries (TethysCluster and CondorPy) that leverage two existing software tools (StarCluster and HTCondor). I further facilitated access to HTC in web applications by using these libraries to create powerful and flexible computing tools for Tethys Platform, a development and hosting platform for web-based water resources applications. I tested this toolkit while collaborating with other researchers to perform several modeling applications that required scalable computing. These applications included a parameter sweep with 57,600 realizations of a distributed, hydrologic model; a set of web applications for retrieving and formatting data; a web application for evaluating the hydrologic impact of land-use change; and an operational, national-scale, high- resolution, ensemble streamflow forecasting tool. In each of these applications the toolkit was successful in automating the process of running the large-scale modeling computations in an HTC environment.
Download or read book A Comprehensive Python Toolkit for Harnessing Cloud-based High-throughput Computing to Support Hydrologic Modeling Workflows written by Scott D. Christensen and published by . This book was released on 2016 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in water resources modeling are improving the information that can be supplied to support decisions that affect the safety and sustainability of society, but these advances result in models being more computationally demanding. To facilitate the use of cost- effective computing resources to meet the increased demand through high-throughput computing (HTC) and cloud computing in modeling workflows and web applications, I developed a comprehensive Python toolkit that provides the following features: (1) programmatic access to diverse, dynamically scalable computing resources; (2) a batch scheduling system to queue and dispatch the jobs to the computing resources; (3) data management for job inputs and outputs; and (4) the ability for jobs to be dynamically created, submitted, and monitored from the scripting environment. To compose this comprehensive computing toolkit, I created two Python libraries (TethysCluster and CondorPy) that leverage two existing software tools (StarCluster and HTCondor). I further facilitated access to HTC in web applications by using these libraries to create powerful and flexible computing tools for Tethys Platform, a development and hosting platform for web-based water resources applications. I tested this toolkit while collaborating with other researchers to perform several modeling applications that required scalable computing. These applications included a parameter sweep with 57,600 realizations of a distributed, hydrologic model; a set of web applications for retrieving and formatting data; a web application for evaluating the hydrologic impact of land-use change; and an operational, national-scale, high- resolution, ensemble streamflow forecasting tool. In each of these applications the toolkit was successful in automating the process of running the large-scale modeling computations in an HTC environment.
Author: David R. Maidment
Publisher: ESRI, Inc.
Published: 2002
Total Pages: 222
ISBN-13: 9781589480346
DOWNLOAD EBOOKWhy Arc hydro? / David Maidment / - Arc Hydro framwork / David Maidment, Scott Morehouse / - Hydro networks / Francisco Olivera, David Maidment / - Drainage systems / Francisco Olivera, Jordan Furnans / River channels / Nawajish Noma, James Nelson / Hydrography / Kim Davis, Jordan Furnans / - Time series / Damid Maidment, Venkatesh Merwade / - Hydrologic modeling / Steve Grise, David Arctur.
Download or read book Arc Hydro written by David R. Maidment and published by ESRI, Inc.. This book was released on 2002 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why Arc hydro? / David Maidment / - Arc Hydro framwork / David Maidment, Scott Morehouse / - Hydro networks / Francisco Olivera, David Maidment / - Drainage systems / Francisco Olivera, Jordan Furnans / River channels / Nawajish Noma, James Nelson / Hydrography / Kim Davis, Jordan Furnans / - Time series / Damid Maidment, Venkatesh Merwade / - Hydrologic modeling / Steve Grise, David Arctur.
Author: Taesam Lee
Publisher: Springer Nature
Published: 2021-01-27
Total Pages: 215
ISBN-13: 3030647773
DOWNLOAD EBOOKThis book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.
Download or read book Deep Learning for Hydrometeorology and Environmental Science written by Taesam Lee and published by Springer Nature. This book was released on 2021-01-27 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.
