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Author: Gerald A. Burnette
Publisher: CRC Press
ISBN: 1000476170
Category : Science
Languages : en
Pages : 338
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Book Description
Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data. Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers. It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements.
Author: Gerald A. Burnette
Publisher: CRC Press
ISBN: 1000476170
Category : Science
Languages : en
Pages : 338
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Book Description
Focused on the mechanics of managing environmental data, this book provides guidelines on how to evaluate data requirements, assess tools and techniques, and implement an effective system. Moving beyond the hypothetical, Gerald Burnette illustrates the decision-making processes and the compromises required when applying environmental principles and practices to actual data. Managing Environmental Data explains the basic principles of relational databases, discusses database design, explores user interface options, and examines the process of implementation. Best practices are identified during each portion of the process. The discussion is summarized via the development of a hypothetical environmental data management system. Details of the design help establish a common framework that bridges the gap between data managers, users, and software developers. It is an ideal text for environmental professionals and students. The growth in both volume and complexity of environmental data presents challenges to environmental professionals. Developing better data management skills offers an excellent opportunity to meet these challenges. Gaining knowledge of and experience with data management best practices complements students’ more traditional science education, providing them with the skills required to address complex data requirements.
Author: Siddhartha Bhattacharyya
Publisher: Academic Press
ISBN: 0128199245
Category : Technology & Engineering
Languages : en
Pages : 346
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Book Description
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution Puts forth insights on future generation intelligent pollution monitoring techniques
Author: David Rich
Publisher: CRC Press
ISBN: 1420032224
Category : Computers
Languages : en
Pages : 445
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Book Description
When your environmental project reaches the point where the amount of data seems overwhelming, you will need a robust tool to help you manage it. Written by a recognized expert and software author with over 25 years of industry experience, Relational Management and Display of Site Environmental Data begins with an overview of site data management c
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309182190
Category : Science
Languages : en
Pages : 150
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Book Description
The report outlines key elements to consider in designing a program to create climate-quality data from satellites. It examines historical attempts to create climate data records, provides advice on steps for generating, re-analyzing, and storing satellite climate data, and discusses the importance of partnering between agencies, academia, and industry. NOAA will use this report-the first in a two-part study-to draft an implementation plan for climate data records.
Author: Nilgun B. Harmanciogammalu
Publisher: Springer Science & Business Media
ISBN: 9401156166
Category : Technology & Engineering
Languages : en
Pages : 550
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Book Description
An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction. The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.
Author: Carl Oppenheimer
Publisher: Springer Science & Business Media
ISBN: 1461569249
Category : Technology & Engineering
Languages : en
Pages : 260
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Book Description
Throughout the world a staggering amount of resources have been used to obtain billions of environmental data points. Some, such as meteorological data, have been organized for weather map display where many thousands of data points are synthesized in one compressed map. Most environmental data, however, are still widely scattered and generally not used for a systems approach, but only for the purpose for which they were originally taken. These data are contained in relatively small computer programs, research files, government and industrial reports, etc. This Conference was called to bring together some of the world's leaders from research centers and government agencies, and others concerned with environmental data management. The purpose of the Conference was to organize discussion on the scope of world environmental data, its present form and documentation, and whether a systematic approach to a total system is feasible now or in the future. This same subject permeated indirectly the Stockholm Conference on the environment, where, although no single recommendation came forth suggesting a consolidated environmental data pool, bank or network, each recommendation indicated that substantial environmental data needed to be obtained or needed to be pooled and analyzed from existing data sources.
Author: Anthony J. Joseph
Publisher: CRC Press
ISBN: 0429605455
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
Professionals in environmental health and safety (EHS) management use statistics every day in making decisions. This book was created to provide the quantitative tools and techniques necessary to make important EHS assessments. Readers need not be statistically or mathematically inclined to make the most of this book-mathematical derivations are kept to a minimum and subjects are approached in a simple and factual manner, complemented with plenty of real-world examples. Chapters 1-3 cover knowledge of basic statistical concepts such as presentation of data, measurements of location and dispersion, and elementary probability and distributions. Data gathering and analysis topics including sampling methods, sampling theory, testing, and interference as well as skills for critically evaluating published numerical material is presented in Chapters 4-6. Chapters 7-11 discuss information generation topics-regression and correlation analysis, time series, linear programming, network and Gnatt charting, and decision analysis-tools that can be used to convert data into meaningful information. Chapter 12 features six examples of projects made successful through statistical approaches being applied. Readers can use these approaches to solve their own unique problems. Whether you are a EHS professional, manager, or student, Health, Safety, and Environmental Data Analysis: A Business Approach will help you communicate statistical data effectively.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309179408
Category : Science
Languages : en
Pages : 130
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Book Description
The National Oceanic and Atmospheric Administration (NOAA) collects, manages, and disseminates a wide range of climate, weather, ecosystem and other environmental data that are used by scientists, engineers, resource managers, policy makers, and others in the United States and around the world. The increasing volume and diversity of NOAA's data holdings - which include everything from satellite images of clouds to the stomach contents of fish - and a large number of users present NOAA with substantial data management challenges. NOAA asked the National Research Council to help identify the observations, model output, and other environmental information that must be preserved in perpetuity and made readily accessible, as opposed to data with more limited storage lifetime and accessibility requirements. This report offers nine general principles for effective environmental data management, along with a number of more specific guidelines and examples that explain and illustrate how these principles could be applied at NOAA.
Author: Frédéric Muttin
Publisher: ISTE Group
ISBN: 1915874157
Category : Computers
Languages : en
Pages : 154
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Book Description
Our current information on intra-port water quality will be shaken up by the growth of open science and the ecological transition. Open data follow the FAIR principles (Findability, Accessibility, Interoperability and Reuse) and the transformation of ports requires pollution assessment tools that work alongside the green and digital transitions, but also elevate the conservation of biodiversity in our seas and oceans. Sentinel species in ports, such as mussels, oysters, limpets and urchins, allow us to biomonitor trace elements and heavy metals, as well as cathodic, organic and inorganic pollutants. The ecotoxicological variables and physico-chemical parameters in the coastal waters of the Atlantic Ocean (Pertuis Charentais) and the Mediterranean Sea (Corsica) allow us to use the WIBE (Water Interdisciplinary Biology and Ecology) Information System. State sovereignty is an important aspect of this study, as it encompasses their knowledge of the water quality of their harbors and the pathways towards open data for end-users. Oceanic, coastal and port environments are high on the agenda for both international and national organizations and local stakeholders. This book, focusing on the tools available for studying port water quality, emphasizes how science has multidisciplinary effects on society.
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 68
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Book Description
