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This book provides in-situ phytoremediation strategies that are particularly well suited for developing nations. Its goal is to promote the use of field-tested phytoremediation methods for removing soil and water pollutants from agricultural, industrial, military, and municipal sources. These strategies include using algae and a variety of aquatic and terrestrial plants. The book subsequently discusses the use of crops and native plants for phytoremediation, and how phytoremediation efforts impact the rhizosphere. After having finished the book, readers will be able to directly adapt the strategies described here for their specific purposes.
The Soils of Italy is the first comprehensive book on Italian pedology in seventy years. Taking advantage of the authors’ large experience and of the most up-to-date information and technology, this book treats the main soil types of Italy, their diffusion, their functions, ecological use, and the threats to which they are subjected during centuries of intensive management. It also deals with future scenarios of the relationships between soil science and other disciplines, such as urban development, medicine, economics, sociology, and archaeology. The description of the soils is accompanied by a complete set of data, pictures and maps, including benchmark profiles. Factors of soil formation are also treated, making use of new, unpublished data and elaborations. The book also includes a history of pedological research in Italy, spanning over a century.
List of publications, v. 1-132, in v. 132.
This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.