Environmental Data Management
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Intelligent Environmental Data Monitoring for Pollution Management
Author: Siddhartha Bhattacharyya
language: en
Publisher: Academic Press
Release Date: 2020-10-22
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
Best Practices in Port Environmental Data Management
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.
Environmental Data Management
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.