Many environmental problems contain incomplete data in the initial or boundary conditions. How do we solve problems for which some of the initial and/or boundary conditions are unknown? Using a new technique, the sentinel method, this book answers these questions and others as they pertain to inverse problems in environmental pollution, such as pollution of underground and surface waters, thermal pollution, and air pollution.

Many environmental problems contain incomplete data in the initial or boundary conditions. How do we solve problems for which some of the initial and/or boundary conditions are unknown? Using a new technique, the sentinel method, this book answers these questions and others as they pertain to inverse problems in environmental pollution, such as pollution of underground and surface waters, thermal pollution, and air pollution.

Inverse problems in pollution, where incomplete data forces the practitioner to work backwards from effects to determine causes, are a particularly challenging problem for environmental scientists and mathematicians. This useful guide explains how to solve inverse problems by measuring pollution concentration at a few points and - using the sentinel method - locate and identify pollutants, calculate the quantity of pollutant discharged, detect crises early, and more. This applications-oriented book also explains how to extend the method to other situations.

The book reports research on relationship between fungal contamination and its health effects in large Asian cities, estimation of ambient air quality in Delhi, a qualitative study of air pollutants from road traffic, air quality in low-energy buildings, some aspects of the Sentinel method for pollution problem, evaluation of dry atmospheric deposition at sites in the vicinity of fuel oil fired power, particles especially PM 10 in the indoor environment, etc.

Studying animals in the environment may be a realistic and highly beneficial approach to identifying unknown chemical contaminants before they cause human harm. Animals as Sentinels of Environmental Health Hazards presents an overview of animal-monitoring programs, including detailed case studies of how animal health problemsâ€"such as the effects of DDT on wild bird populationsâ€"have led researchers to the sources of human health hazards. The authors examine the components and characteristics required for an effective animal-monitoring program, and they evaluate numerous existing programs, including in situ research, where an animal is placed in a natural setting for monitoring purposes.

Designing Innovations in Industrial Logistics Modelling describes practical methods for approaching the task of designing industrial logistics systems. It surveys the development of logistics models and their application in manufacturing to designing, planning, and implementing the movement of supplies, equipment, and products. This text/reference book discusses the combination of operation and production research to obtain solutions for designing and integrating advanced logistics systems. It provides the reader with a set of prescriptive and descriptive models and methods that have been developed exclusively for the purpose of designing, managing, and optimizing the architecture of such advanced systems. The design and application of new tools and methods is presented in such a way that emphasizes the competitiveness of manufacturing industries, and case studies are presented in a manner that demonstrates successful models and methods in advanced industrial logistics systems. In addition, Designing Innovations in Industrial Logistics Modelling explains the various formal tools and methodologies employed in evaluating new programs and covers program management and dynamic evaluation techniques.

Mathematical Analysis for Modeling is intended for those who want to understand the substance of mathematics, rather than just having familiarity with its techniques. It provides a thorough understanding of how mathematics is developed for and applies to solving scientific and engineering problems. The authors stress the construction of mathematical descriptions of scientific and engineering situations, rather than rote memorizations of proofs and formulas. Emphasis is placed on algorithms as solutions to problems and on insight rather than formal derivations.