Managing Environmental Data

Managing Environmental Data
Author: Gerald A. Burnette
Publisher:
Total Pages:
Release: 2022
Genre: Environmental management
ISBN: 9780367675929

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"This book provides environmental professionals and students with guidelines on how to evaluate the environmental data and the tools needed to manage them. Through real-world experiences, the author illustrates the decision-making process and the compromises required when applying environmental principles and practices to the actual data"--

Relational Management and Display of Site Environmental Data

Relational Management and Display of Site Environmental Data
Author: David Rich
Publisher: CRC Press
Total Pages: 445
Release: 2002-06-19
Genre: Computers
ISBN: 1420032224

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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

Intelligent Environmental Data Monitoring for Pollution Management

Intelligent Environmental Data Monitoring for Pollution Management
Author: Siddhartha Bhattacharyya
Publisher: Academic Press
Total Pages: 346
Release: 2020-10-22
Genre: Technology & Engineering
ISBN: 0128199245

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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

Managing Environmental Data

Managing Environmental Data
Author: Gerald A. Burnette
Publisher: CRC Press
Total Pages: 338
Release: 2021-12-21
Genre: Science
ISBN: 1000476170

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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.

Environmental Data Management

Environmental Data Management
Author: Nilgun B. Harmanciogammalu
Publisher: Springer Science & Business Media
Total Pages: 443
Release: 2013-06-29
Genre: Science
ISBN: 9401590567

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The diverse nature of environmental problems mankind has encountered within the last decade has developed a new understanding of the nature of environmental processes. Currently, the environment is considered as a continuum of air, soil and water as the vital components for sustaining life on earth. The interactive nature of these components requires that the environment is managed and protected as a cohesive whole. This can only be accomplished through an integrated approach to environmental management. Besides the concept of environmental continuum, prospects for sustainable development of natural resources and the recent recognition of global climate change impacts have also necessitated such an integrated approach to environmental management. Two basic tools for integrated management of the environment are modeling and environmental data. Both tools were available and valid in the past; however, the recent requirements for integrated environmental management have also led to a significant evolution of both modeling procedures and data management systems.

Climate Data Records from Environmental Satellites

Climate Data Records from Environmental Satellites
Author: National Research Council
Publisher: National Academies Press
Total Pages: 150
Release: 2004-08-26
Genre: Science
ISBN: 0309182190

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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.

Translating Diverse Environmental Data into Reliable Information

Translating Diverse Environmental Data into Reliable Information
Author: Daniel A. Vallero
Publisher: Academic Press
Total Pages: 0
Release: 2017-09-20
Genre: Nature
ISBN: 9780128124468

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Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

Health, Safety, and Environmental Data Analysis

Health, Safety, and Environmental Data Analysis
Author: Anthony J. Joseph
Publisher: CRC Press
Total Pages: 164
Release: 2020-07-09
Genre: Technology & Engineering
ISBN: 0429605455

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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.

Integrated Approach to Environmental Data Management Systems

Integrated Approach to Environmental Data Management Systems
Author: Nilgun B. Harmanciogammalu
Publisher: Springer Science & Business Media
Total Pages: 550
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9401156166

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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.