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| Author | : Jeremy White |
| Publisher | : Frontiers Media SA |
| Total Pages | : 295 |
| Release | : 2023-10-11 |
| Genre | : Science |
| ISBN | : 283253581X |
| Author | : Anthony J. Jakeman |
| Publisher | : Elsevier |
| Total Pages | : 387 |
| Release | : 2008-09-11 |
| Genre | : Science |
| ISBN | : 0080915302 |
The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions
| Author | : Steven Gray |
| Publisher | : Springer |
| Total Pages | : 377 |
| Release | : 2016-12-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3319250531 |
This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation. This book presents the current state of knowledge regarding the theory and practice of engaging stakeholders in environmental modeling for decision-making, and includes basic theoretical considerations, an overview of methods and tools available, and case study examples of these principles and methods in practice. Although there has been a significant increase in research and development regarding participatory modeling, a unifying text that provides an overview of the different methodologies available to scholars and a systematic review of case study applications has been largely unavailable. This edited volume seeks to address a gap in the literature and provide a primer that addresses the growing demand to adopt and apply a range of modeling methods that includes the public in environmental assessment and management. The book is divided into two main sections. The first part of the book covers basic considerations for including stakeholders in the modeling process and its intersection with the theory and practice of public participation in environmental decision-making. The second part of the book is devoted to specific applications and products of the various methods available through case study examination. This second part of the book also provides insight from several international experts currently working in the field about their approaches, types of interactions with stakeholders, models produced, and the challenges they perceived based on their practical experiences.
| Author | : Natalie Chong |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
As the sun sets on the age of unlimited growth and consumption, the call for progressively robust, adaptive and integrated solutions to address 'wicked' environmental problems has ushered in a new paradigm that has fundamentally changed the practices of both science and management. Emphasis on collaborative, integrative and participative approaches has given rise to burgeoning science-practice-policy arrangements while necessitating new tools to support the implementation of increasingly demanding regulation. In the context of water resources, models have emerged as fundamental tools favoured by scientists and practitioners alike, owing to their ability to advance scientific understanding of water systems functioning, while at the same time supporting key decisions in the management, policy and planning of river basins. A wide range of modelling tools have been developed to study the numerous physical, chemical, and biological processes at work, on different spatial and temporal scales, with varying levels of complexity. At the same time, models provide practitioners with a practical tool for supporting 'evidence-based' policy by transposing complex problems into technical, 'manageable' solutions. Yet, their application in practice has proven far from proportional to the amount of time and resources that have been invested in their development.This thesis aims to elucidate the enduring divide between science, practice and policy in the context of a new paradigm of science and management through the lens of modelling tools and their role at the science-practice-policy interface. Using a qualitative approach, we draw from two empirical examples: the PIREN-Seine in France and the CRC for Water Sensitive Cities in Australia. While both share similar challenges, methods and objectives, the fundamental difference in their strategies and approaches offers a rich foundation for comparison. In doing so, we explore the driving forces, implications and potential consequences of the parallel paradigm shifts in science and management, focusing on three main aspects: 1/ the use and utility of modelling tools to support water management, policy and planning; 2/ the different modalities of addressing uncertainty in model-based decision support, and; 3/ the role of new science-practice-policy arrangements. By first retracing the history of production and use of modelling tools in both examples, we seek to understand the nuanced relationship between 'use' and 'utility', offering insight into influencing factors. Next, we turn to the question of uncertainty by analysing how researchers and practitioners reconcile the fundamental challenge of uncertainty in model-based decision support. Delving deeper into the complex, negotiated social process that comprises the decision-making context, we focus on the social construction of ignorance and its role in decision-making. Finally, we examine the macro-level changes brought about by the paradigm shift in science and management. Amidst these changes, we seek to understand the emergence and functions of 'boundary organisations' in this new epoch, and their role in the quest for robust, adaptive and sustainable solutions.
| Author | : Mike J. Barnsley |
| Publisher | : CRC Press |
| Total Pages | : 433 |
| Release | : 2007-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 142002146X |
Increasingly used to represent climatic, biogeochemical, and ecological systems, computer modeling has become an important tool that should be in every environmental professional’s toolbox. Environmental Modeling: A Practical Introduction is just what it purports to be, a practical introduction to the various methods, techniques, and skills required for computerized environmental modeling. Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a program that can be run on a desktop or laptop computer, and examine the results produced by the computational model. Equally important, the book imparts skills that allow you to develop, implement, and experiment with a range of computerized environmental models. The emphasis is on active engagement in the modeling process rather than on passive learning about a suite of well-established models. The author takes a practical approach throughout, one that does not get bogged down in the details of the underlying mathematics and that encourages learning through “hands on” experimentation. He provides a set of software tools and data sets that you can use to work through the various examples and exercises presented in each chapter, as well as presentational material and handouts for course tutors. Comprehensive and up-to-date, the book discusses how computational models can be used to represent environmental systems and illustrates how such models improve understanding of the ways in which environmental systems function.
| Author | : Ekkehard Holzbecher |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 416 |
| Release | : 2012-01-10 |
| Genre | : Science |
| ISBN | : 3642220428 |
The book has two aims: to introduce basic concepts of environmental modelling and to facilitate the application of the concepts using modern numerical tools such as MATLAB. It is targeted at all natural scientists dealing with the environment: process and chemical engineers, physicists, chemists, biologists, biochemists, hydrogeologists, geochemists and ecologists. MATLAB was chosen as the major computer tool for modeling, firstly because it is unique in it's capabilities, and secondly because it is available in most academic institutions, in all universities and in the research departments of many companies. In the 2nd edition many chapters will include updated and extended material. In addition the MATLAB command index will be updated and a new chapter on numerical methods will be added. For the second edition of 'Environmental Modeling' the first edition was completely revised. Text and figures were adapted to the recent MATLAB® version. Several chapters were extended. Correspondingly the index of MATLAB commands was extended considerably, which makes the book even more suitable to be used as a reference work by novices. Finally an introduction into numerical methods was added as a new chapter. “/p>
| Author | : Jo Smith |
| Publisher | : Oxford University Press |
| Total Pages | : 192 |
| Release | : 2007-01-18 |
| Genre | : Science |
| ISBN | : 0199272069 |
The global environment is a complex mix of interlinked processes, about which observation can tell us a great deal. This book shows how modelling can be used to explain experimental observations, and how these observations - and data gathered - can be extrapolated to explain novel situations. It also illustrates how models are actively applied.
| Author | : Ralf Seppelt |
| Publisher | : John Wiley & Sons |
| Total Pages | : 300 |
| Release | : 2007-06-27 |
| Genre | : Science |
| ISBN | : 3527609210 |
Here, the author provides professionals in environmental research and management with the information they need with respect to computer modeling: An understanding of the mathematical fundamentals and the choice of the optimal approach and corresponding software for their particular task. - Numerous illustrations, flowcharts and graphs, partly in color, as well as worked examples help in comprehending complex mathematical tasks and their solutions without the use of confusing mathematical formalism; - Case studies from various fields of environmental research, such as landscape ecology, environmental assessment, population ecology, hydrology, and agroecology, facilitate the application of simulation models to the solution of real-world problems; - Contains a detailed summary of currently available software tools and the application in spatially explicit simulation based on geographic information systems. The worked examples and case studies cover a broad range of environmental systems and processes, adopting such modern mathematical methodology as partial differential equations, fuzzy logic, hybrid Petri nets, and optimum control theory. The result is a unique presentation of applications for high standard modeling and simulation methodologies in the interdisciplinary fields of environmental research. From the Foreword by Robert Costanza (Gund Institute of Ecological Economics, Burlington, VT, USA): "As a teacher of environmental modeling, I've been searching for many years for the perfect text to use courses. My search has ended with the publication of Ralf Seppelt's book and I intend to use it as a core text in modeling courses."
| Author | : John Wainwright |
| Publisher | : John Wiley & Sons |
| Total Pages | : 432 |
| Release | : 2005-04-08 |
| Genre | : Science |
| ISBN | : 0470091541 |
Simulation models are increasingly used to investigate processes and solve practical problems in a wide variety of disciplines eg. climatology, ecology, hydrology, geomorphology, engineering. Environmental Modelling: A Practical Approach addresses the development, testing and application of such models, which apply across traditional boundaries, and demonstrate how interactions across these boundaries can be beneficial. Provides a general overview of methods and approaches as well as focusing on key subject areas written by leading practitioners in the field Assesses the advantages and disadvantages of different models used and provides case studies supported with data, output, tutorial exercises and links to the model and/or model applications via the book's website Covers major developments in the field, eg. the use of GIS and remote sensing techniques, and scaling issues As associated website contains colour images, as well as links to www resources
| Author | : Mike J. Barnsley |
| Publisher | : CRC Press |
| Total Pages | : 432 |
| Release | : 2007-02-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9780415300544 |
Increasingly used to represent climatic, biogeochemical, and ecological systems, computer modeling has become an important tool that should be in every environmental professional’s toolbox. Environmental Modeling: A Practical Introduction is just what it purports to be, a practical introduction to the various methods, techniques, and skills required for computerized environmental modeling. Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a program that can be run on a desktop or laptop computer, and examine the results produced by the computational model. Equally important, the book imparts skills that allow you to develop, implement, and experiment with a range of computerized environmental models. The emphasis is on active engagement in the modeling process rather than on passive learning about a suite of well-established models. The author takes a practical approach throughout, one that does not get bogged down in the details of the underlying mathematics and that encourages learning through “hands on” experimentation. He provides a set of software tools and data sets that you can use to work through the various examples and exercises presented in each chapter, as well as presentational material and handouts for course tutors. Comprehensive and up-to-date, the book discusses how computational models can be used to represent environmental systems and illustrates how such models improve understanding of the ways in which environmental systems function.
