Books in Environmental modelling and software

1-10 of 20 results in All results

The Water-Energy-Food Nexus

• 1st Edition
• Volume 32
• November 1, 2023
• Brenda Cansino-Loeza + 1 more
• English
• Paperback 978-0-443-13571-2

  9 7 8 - 0 - 4 4 3 - 1 3 5 7 1 - 2
• eBook 978-0-443-13572-9

  9 7 8 - 0 - 4 4 3 - 1 3 5 7 2 - 9

The Water-Energy-Food Nexus: Optimization Models for Decision Making, Volume 32 covers water, energy, and food as crucial resources for human well-being and sustainable development. These resources are inextricably interrelated, therefore, to cover water, energy, and food demands in different sectors and at different scales, it must be considered several sources to produce resources, and the interlinkages of resources for a proper integration must be considered. This book emphasizes issues that must be considered in the design of water-energy-food nexus systems, such as the selection of technologies to produce water or energy, size of technologies, and food required for nutritional demands.In addition, mathematical models are presented for the design of water-energy-food nexus systems involving several strategies to account for issues such as sustainable development, security of resources, interest in conflicts from stakeholders, and efficient allocation of resources.

Handbook of HydroInformatics

• 1st Edition
• December 6, 2022
• Saeid Eslamian + 1 more
• English
• Paperback 978-0-12-821962-1

  9 7 8 - 0 - 1 2 - 8 2 1 9 6 2 - 1
• eBook 978-0-12-821952-2

  9 7 8 - 0 - 1 2 - 8 2 1 9 5 2 - 2

Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines.  These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed  related to the best practices for managing water data.       

Water Resource Modeling and Computational Technologies

• 1st Edition
• Volume 7
• October 21, 2022
• Mohammad Zakwan + 3 more
• English
• Paperback 978-0-323-91910-4

  9 7 8 - 0 - 3 2 3 - 9 1 9 1 0 - 4
• eBook 978-0-323-98517-8

  9 7 8 - 0 - 3 2 3 - 9 8 5 1 7 - 8

Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.

Numerical Methods in Environmental Data Analysis

• 1st Edition
• July 17, 2022
• Moses Eterigho Emetere
• English
• Paperback 978-0-12-818971-9

  9 7 8 - 0 - 1 2 - 8 1 8 9 7 1 - 9
• eBook 978-0-12-818972-6

  9 7 8 - 0 - 1 2 - 8 1 8 9 7 2 - 6

Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models. Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data.

Applied Statistics for Environmental Science with R

• 1st Edition
• September 13, 2019
• Abbas F. M. Al-Karkhi + 1 more
• English
• Paperback 978-0-12-818622-0

  9 7 8 - 0 - 1 2 - 8 1 8 6 2 2 - 0
• eBook 978-0-12-818623-7

  9 7 8 - 0 - 1 2 - 8 1 8 6 2 3 - 7

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.

Time and Methods in Environmental Interfaces Modelling

• 1st Edition
• Volume 29
• October 31, 2016
• Dragutin T Mihailovic + 2 more
• English
• Hardback 978-0-444-63918-9

  9 7 8 - 0 - 4 4 4 - 6 3 9 1 8 - 9
• eBook 978-0-444-63923-3

  9 7 8 - 0 - 4 4 4 - 6 3 9 2 3 - 3

Time and Methods in Environmental Interfaces Modelling: Personal Insights considers the use of time in environmental interfaces modeling and introduce new methods, from the global scale (e.g. climate modeling) to the micro scale (e.g. cell and nanotubes modeling), which primarily arise from the personal research insights of the authors. As the field of environmental science requires the application of new fundamental approaches that can lead to a better understanding of environmental phenomena, this book helps necessitate new approaches in modeling, including category theory, that follow new achievements in physics, mathematics, biology, and chemistry.

Digital Terrain Analysis in Soil Science and Geology

• 2nd Edition
• July 11, 2016
• Igor Florinsky
• English
• Hardback 978-0-12-804632-6

  9 7 8 - 0 - 1 2 - 8 0 4 6 3 2 - 6
• eBook 978-0-12-804633-3

  9 7 8 - 0 - 1 2 - 8 0 4 6 3 3 - 3

Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science and geology. Divided into three parts, the book first examines main concepts, principles, and methods of digital terrain modeling. It then looks at methods for analysis, modeling, and mapping of spatial distribution of soil properties using digital terrain analysis, before finally considering techniques for recognition, analysis, and interpretation of topographically manifested geological features. Digital Terrain Analysis in Soil Science and Geology, Second Edition, is an updated and revised edition, providing both a theoretical and methodological basis for understanding and applying geographical modeling techniques.

Satellite Soil Moisture Retrieval

• 1st Edition
• April 29, 2016
• Prashant K. Srivastava + 2 more
• English
• Hardback 978-0-12-803388-3

  9 7 8 - 0 - 1 2 - 8 0 3 3 8 8 - 3
• eBook 978-0-12-803389-0

  9 7 8 - 0 - 1 2 - 8 0 3 3 8 9 - 0

Satellite Soil Moisture Retrieval: Techniques and Applications offers readers a better understanding of the scientific underpinnings, development, and application of soil moisture retrieval techniques and their applications for environmental modeling and management, bringing together a collection of recent developments and rigorous applications of soil moisture retrieval techniques from optical and infrared datasets, such as the universal triangle method, vegetation indices based approaches, empirical models, and microwave techniques, particularly by utilizing earth observation datasets such as IRS III, MODIS, Landsat7, Landsat8, SMOS, AMSR-e, AMSR2 and the upcoming SMAP. Through its coverage of a wide variety of soil moisture retrieval applications, including drought, flood, irrigation scheduling, weather forecasting, climate change, precipitation forecasting, and several others, this is the first book to promote synergistic and multidisciplinary activities among scientists and users working in the hydrometeorological sciences.

Developments in Environmental Modelling

• 1st Edition
• Volume 14
• April 20, 2016
• S.E. Jorgensen + 1 more
• English
• eBook 978-1-4832-9080-5

  9 7 8 - 1 - 4 8 3 2 - 9 0 8 0 - 5

The use of models to assess water quality is becoming increasingly important worldwide. In order to be able to develop a good model, it is necessary to have a good quantitative and ecological description of physical, chemical and biological processes in ecosystems. Such descriptions may be called ``submodels''. This book presents the most important, but not all, submodels applied in water quality modelling. Each chapter deals with a specific physical process and covers its importance, the most applicable submodels (and how to select one), parameter values and their determination, and future research needs.The book will be an excellent reference source for environmental engineers, ecological modellers and all those interested in the modelling of water quality systems.

Applied Drought Modeling, Prediction, and Mitigation

• 1st Edition
• July 29, 2015
• Zekâi Şen
• English
• Paperback 978-0-12-802176-7

  9 7 8 - 0 - 1 2 - 8 0 2 1 7 6 - 7
• eBook 978-0-12-802422-5

  9 7 8 - 0 - 1 2 - 8 0 2 4 2 2 - 5

Applied Drought Modelling, Prediction, and Mitigation provides a practical guide to new and recent methodologies for drought characterizations, change modeling, down-scaling, and future predictions. The modeling procedures covered by the book include recent advancements in regional drought extent, coverage, intensity, and water deficit predictions, which are increasingly significant given current climate change impacts on water resources. Each modeling procedure is explained theoretically prior to the mathematical derivation, and includes book examples, exercises, and case studies that supplement the applied and practical material, thus making the approaches accessible and applicable to the reader.