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Water quality refers to the chemical, physical, biological, and radiological characteristics of water. It is a measure of the condition of water for the purposes intended for. It is most frequently used by reference to a set of standards against which compliance can be assessed. The most common standards used to assess water quality relate to health of ecosystems, safety of human contact and potable drinking water. A range of diverse topics in the field of water quality modelling, statistical evaluation and guidelines pertaining to the best management practices in different locations around the world is given herein. Modelling of water quality in rivers and lakes, statistical methods and membrane filter performance are subject matters of interest considering in-situ water, potable water, water re-use, etc.
Wastewater treatment represents a continuous challenge for engineers, environmental scientists and regulators. Today, an increasing number of new contaminants are being found such as pharmaceuticals, personal care products, and nanomaterials. In this book, the authors present current research in the study of the biological methods, technology and environmental impact of wastewater treatment processes. Topics include anaerobic membrane bioreactors for wastewater treatment; ecotoxicological approaches to assess wastewater's environmental impact to saltwater; EBPR for wastewater treatment; innovative sequencing batch reactors for industrial wastewater treatment; PAHs in the water environment; and cationic tannins as a coagulatnt/flocculant agent.
A comprehensive survey of dysfunction due to stroke, this revised edition remains the definitive guide to stroke patterns and syndromes.
The microbial world has given us many surprises including microbes that grow under extremely harsh conditions (122C at 40 MPa), novel metabolisms such as the uranium and perchlorate reduction, and novel chemicals that can be used to control diseases. We continually face new and difficult problems such as the need to transition to more carbon-neutral energy sources and to find eco-friendly chemicals and to find new drugs to treat disease. Will it be possible to tap into the seemingly limitless potential of microbial activity to solve our current and future problems?The answer to this question is probably yes. We are already looking to the microbial world to provide new energy sources, green c...
This book provides an updated knowledge on the biohydrogen production from industrial and municipal organic waste materials. Microbes are increasingly being included in the hydrogen based biofuel production and this book covers the processes and protocols for biohydrogen production. There is an urgent need of alternative energy research to fulfill the global energy demand. Biohydrogen is a promising source of sustainable and clean energy as it harnessed by biological means. Biohydrogen may be produced by utilizing different waste materials as a substrate, and by optimization of various parameters of bioreactors such as temperature, pH, partial pressure etc. The waste materials used in hydrog...
A comprehensive review of inflammatory syndromes and diseases that affect the blood vessels, this volume draws upon authors from all over the world to present informed discussions on all types of vasculitis and related conditions.
The concern about using organic waste as a renewable energy source is a critical worldwide issue. In this area, anaerobic digestion (AD) seems to be a promising solution because of the significant reduction of waste quantity and generation of valuable products such as biogas, regarded as being a good energy carrier and digestate with high nutritional potential for agriculture. The current trends in AD focus on improving the efficiency of the process to make this a cost-effective treatment. Depending on the source (agricultural, municipal, or industrial), organic waste varies considering both its composition and structure, and thus the bioaccessibility and biodegradability. Accordingly, mater...
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of co...