Download Free Modeling Nonpoint Pollution From The Land Surface Book in PDF and EPUB Free Download. You can read online Modeling Nonpoint Pollution From The Land Surface and write the review.

The purpose behind Computer Models in Environmental Planning is to provide a practical and applied guide to the use of these models in environmental planning and environmental impact analysis. Models concerning water quality, air quality, stormwater runoff, land capabil ity evaluationfland information systems, and hazardous waste dis posal are reviewed and critiqued. I have tried to emphasize the practical problems with data, computer capabilities, and other analyt ical questions that must be faced by the practitioner attempting to use these models. Thus, I do not delve too deeply into the theoretical underpinnings of the models, referring the reader instead to specialized references in this area. For each environmental area, I review the major models and methods, comparing their assumptions, ease of use, and other characteristics. Practical examples illustrate the benefits and problems of using each model. Computer models are increasingly being used by planning and engineering professionals for locating and planning public works, and industrial, commercial, and residential projects, while evaluating their environmental impacts. The requirements of the National Environ mental Policy Act and related state laws as well as separate state and federal laws concerning air and water quality, stormwater runoff, land use, and hazardous waste disposal have made the use of these methods mandatory in many circumstances. Yet, explanations of both the benefits and problems associated with supposedly easy-to-use com puter versions of these models and methods remain, at best, difficult to retrieve and, at worst, incomplete.
Modeling Chemical Transport in Soils: Natural and Applied Contaminants provides a comprehensive discussion of mathematical models used to anticipate and predict the consequences and fate of natural and applied chemicals. The book evaluates the strengths, weaknesses, and possibilities for application of numerous models used throughout the world. It examines the theoretical support and need for experimental calibration for each model. The book also reviews world literature to discuss such topics as the movement of sorbed chemicals by soil erosion, the movement of reactive and nonreactive chemicals in the subsurface and groundwater, and salt transport in the landscape. Modeling Chemical Transport in Soils: Natural and Applied Contaminants is an important volume for environmental scientists, agricultural engineers, regulatory personnel, farm managers, consultants, and the chemical industry.
Despite advances in modeling, such as graphical user interfaces, the use of GIS layers, and databases for developing input files, the approaches to modeling phosphorus (P) have not changed since their initial development in the 1980s. Current understanding of P processes has evolved and this new information needs to be incorporated into the current
Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. - Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping - Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies - Includes the use of new sensors and their applications to soils and sediment characterization - Includes case studies from a variety of geographical areas