Download or read book Automatic Processing of Multi resolution Data for Use in Water Management and Hydrologic Modeling written by Yasir H. Kaheil and published by . This book was released on 2007 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrated Soil and Water Management Selected Papers from 2016 International SWAT Conference written by Karim Abbaspour and published by MDPI. This book was released on 2018-03-15 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Integrated Soil and Water Management: Selected Papers from 2016 International SWAT Conference" that was published in Water
Download or read book Integrating Data and Models for Sustainable Decision making in Hydrology written by Lijing Wang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change results in both long-term droughts and short-term extreme precipitation, which can significantly affect water quality and quantity. To make smart decisions about water resources under uncertain climates, it is important for scientists to convey accurate predictions of water systems to water resource managers. This requires integrating multiple geophysical, geochemical, and hydrologic datasets to build accurate hydrologic models and provide predictions of water flow and quality. However, the model-data integration process can be hindered by challenges such as complex hydrologic modeling, lack of geologically realistic models, and slow or ineffective model calibration methods. These challenges limit the use of model-data integration methods from theory to practice and make it difficult to translate hydrologic models into effective decisions. In this dissertation, we present new method developments for addressing model-data integration's challenges and provide real-world hydrologic examples of using the process of model-data integration. We start by introducing the model-data integration process and associated challenges in Chapter 1. In Chapter 2, we introduce a new geological interface modeling method to integrate multiple datasets and, most importantly, geological knowledge: a data-knowledge-driven trend surface analysis. We define different density functions for different information sources, and sample trend interfaces using the Metropolis-Hastings algorithm with stationary Gaussian field perturbations. This method works for both explicit and implicit interface modeling, where the key advance of the implicit model is to represent complex interfaces and geometries without heavy parameterization. We demonstrate our method in three different test cases: modeling stochastic interfaces of Greenland subglacial topography, magmatic intrusion, and palaeovalleys for groundwater mapping in South Australia. This new trend surface analysis tool is useful for building geological models and hydrostratigraphic layers for hydrologic site characterization. In Chapter 3, we design the hierarchical Bayesian formulation to invert both uncertain global and spatial variables hierarchically. We propose a machine learning-based inversion method that calculates summary statistics using machine learning to invert both linear and non-linear forward models. We also introduce a new local principal component analysis (local PCA) approach that provides a more efficient method for local inversion of large-scale spatial fields. In addition, we provide a likelihood-free inverse method using density estimators, using both traditional kernel density estimation and newly developed neural density estimation. To illustrate the hierarchical Bayesian formulation, one linear volume average inversion, and two non-linear hydrologic modeling cases are presented, including a 3D case study. This Chapter provides possible solutions to many model calibration challenges we face in model-data integration: hierarchical modeling, likelihood definitions, and effective calibration for large spatial fields. In Chapter 4 and Chapter 5, we show two real case studies of model-data integration. Chapter 4 examines the impact of beaver ponds on flow dynamics in a mountainous floodplain in Colorado using hydrologic modeling and model-data integration. The recovery of beavers in North America has been adapted as an ecosystem restoration tool to increase surface and groundwater storage and improve biodiversity on reach scales. We investigate the effects of beavers on hydrologic flows, particularly on the deep baseflow in aquifers, by constructing a 3D hydrologic floodplain model. We calibrate the model to the baseflow piezometer measurement using likelihood-free methods in Chapter 3. Our sensitivity analysis shows that beaver ponds increase the cumulative vertical flow from the fines to the gravel bed but have little effect on the deep underflow in the gravel bed aquifer, suggesting that beaver ponds are disconnected from the main downstream flow. This study aims to improve our understanding of the hydrologic consequences associated with the increasing use of beaver restoration as a climate adaptation strategy. In Chapter 5, we propose a statistical model for constructing 3D redox structures in Danish farmlands to address agricultural nitrogen pollution, which is a global problem that could be exacerbated by hydrologic shifts from climate change. The redox environment in the subsurface is essential for the natural removal of nitrate by denitrification. We combine the towed transient electromagnetic resistivity (tTEM) and redox boreholes to model 3D redox architecture stochastically. However, tTEM survey and redox boreholes are often non-colocated. To address this issue, we perform geostatistical simulations to generate multiple resistivity data colocated with redox boreholes. We then use a statistical learning method, multinomial logistic regression, to predict multiple 3D redox architectures given the uncertain surrounding resistivity structures. We reveal the statistically significant resistivity structures for redox predictions and formulate an inverse problem to better match the redox borehole data using the local PCA method in Chapter 3. These two chapters provide two alternative approaches for providing hydrologic predictions: physics-based modeling or statistical modeling. In Chapter 6, we introduce a fast surrogate flow and transport model to evaluate the climate impact on groundwater contamination. The surrogate modeling approach is applied at the Department of Energy's Savannah River Site F-Area, which contains nuclear wastewater. We present two time-dependent neural network architectures: U-FNO-3D and U-FNO-2D, each with a different approach to incorporating the time dimension. Furthermore, we integrate a custom loss function that takes both data-driven factors and physical boundary constraints into account. This chapter offers a solution to reduce the computational cost of numerical modeling, which is critical in making timely decisions that bridge science and practical applications. This dissertation provides novel methods for geological modeling and model calibration and applies them to real-world problems, highlighting the importance of both method development and practical implementation in addressing hydrologic challenges posed by uncertain climates.
Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1991 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book GIS and Geocomputation for Water Resource Science and Engineering written by Barnali Dixon and published by John Wiley & Sons. This book was released on 2016-02-08 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering. The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects. The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions. In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory.
Download or read book Hydrologic and Hydraulic Modeling Support written by David R. Maidment and published by ESRI, Inc.. This book was released on 2000 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital elevation model issues in water resources modeling - Preparation of DEMs for use in environmental modeling analysis - Source water protection project : a comparison of watershed delineation methods in ARC/INFO and arcView GIS - DEM preprocessing for efficient watershed delineation - Gis tools for HMS modeling support - Hydrologic model of the buffalo bayou using GIS - Development of digital terrain representation for use in river modeling - HEC-GeoRAS : linking GIS to hydraulic analysis using ARC/INFO and HEC-RAS - Floodplain determination using arcView GIS and HEC-RAS - The accuracy and efficiency of GIS-Based floodplain determinations.
Download or read book New Publications of the Geological Survey written by Geological Survey (U.S.) and published by . This book was released on 1989 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book GIS and Remote Sensing in Hydrology Water Resources and Environment written by Yangbo Chen and published by Iahs Press. This book was released on 2004 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Earth Resources written by and published by . This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Remote Sensing in Hydrology and Water Management written by Gert A. Schultz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive information on possible applications of remote sensing data for hydrological monitoring and modelling as well as for water management decisions. Mathematical theory is provided only as far as it is necessary for understanding the underlying principles. The book is especially timely because of new programs and sensors that are or will be realised. ESA, NASA, NASDA as well as the Indian and the Brazilian Space Agency have recently launched satellites or developed plans for new sensor systems that will be especially pertinent to hydrology and water management. New techniques are presented whose structure differ from conventional hydrological models due to the nature of remotely sensed data.
Download or read book Environmental Modelling written by Keith Beven and published by CRC Press. This book was released on 2018-09-03 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance in relation to the impacts of climate change, protecting against natural and man-made disasters, pollutant transport and sustainable resource management. However, it is often ignored both by scientists and decision makers, or interpreted as a conflict or disagreement between scientists. This is not necessarily the case, the scientists might well agree, but their predictions would still be uncertain and knowledge of that uncertainty might be important in decision making. Environmental Modelling: An Uncertain Future? introduces students, scientists and decision makers to: the different concepts and techniques of uncertainty estimation in environmental prediction the philosophical background to different concepts of uncertainty the constraint of uncertainties by the collection of observations and data assimilation in real-time forecasting techniques for decision making under uncertainty. This book will be relevant to environmental modellers, practitioners and decision makers in hydrology, hydraulics, ecology, meteorology and oceanography, geomorphology, geochemistry, soil science, pollutant transport and climate change. A companion website for the book can be found at www.uncertain-future.org.uk
Download or read book Guidelines for Computerized Data Processing in Operational Hydrology and Land and Water Management written by Food and Agriculture Organization of the United Nations and published by World Meteorological Organization. This book was released on 1985 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1991 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrating Multiscale Observations of U S Waters written by National Research Council and published by National Academies Press. This book was released on 2008-05-16 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water is essential to life for humans and their food crops, and for ecosystems. Effective water management requires tracking the inflow, outflow, quantity and quality of ground-water and surface water, much like balancing a bank account. Currently, networks of ground-based instruments measure these in individual locations, while airborne and satellite sensors measure them over larger areas. Recent technological innovations offer unprecedented possibilities to integrate space, air, and land observations to advance water science and guide management decisions. This book concludes that in order to realize the potential of integrated data, agencies, universities, and the private sector must work together to develop new kinds of sensors, test them in field studies, and help users to apply this information to real problems.
Download or read book Hydrology in a Changing World written by Shailesh Kumar Singh and published by Springer. This book was released on 2019-02-18 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of the challenges in hydrological modeling. Hydrology, on both a local and global scale, has undergone dramatic changes, largely due to variations in climate, population growth and the associated land-use and land-cover changes. Written by experts in the field, the book provides decision-makers with a better understanding of the science, impacts, and consequences of these climate and land-use changes on hydrology. Further, offering insights into how the changing behavior of hydrological processes, related uncertainties and their evolution affect the modeling process, it is of interest for all researchers and practitioners using hydrological modeling.
Download or read book Environmental Modelling written by John Wainwright and published by John Wiley & Sons. This book was released on 2005-04-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
