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In this complete handbook for international engineering service projects, James Mihelcic and his coauthors provide the tools necessary to implement the right technology in developing regions around the world.
Environmental engineers support the well-being of people and the planet in areas where the two intersect. Over the decades the field has improved countless lives through innovative systems for delivering water, treating waste, and preventing and remediating pollution in air, water, and soil. These achievements are a testament to the multidisciplinary, pragmatic, systems-oriented approach that characterizes environmental engineering. Environmental Engineering for the 21st Century: Addressing Grand Challenges outlines the crucial role for environmental engineers in this period of dramatic growth and change. The report identifies five pressing challenges of the 21st century that environmental engineers are uniquely poised to help advance: sustainably supply food, water, and energy; curb climate change and adapt to its impacts; design a future without pollution and waste; create efficient, healthy, resilient cities; and foster informed decisions and actions.
Environmental engineers keep drinking water clean, protect people from pollution, and take steps to fight climate change. Environmental Engineering in the Real World examines the history of this branch of engineering, what environmental engineers do today, and what's next for the field. Easy-to-read text, vivid images, and helpful back matter give readers a clear look at this subject. Features include a table of contents, infographics, a glossary, additional resources, and an index. Aligned to Common Core Standards and correlated to state standards. Core Library is an imprint of Abdo Publishing, a division of ABDO.
“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.
Annotation Twenty-four contributions address the history of various government and academic organizations that have played a role in the nation's water resources and environmental activities. Papers address topics including environmental engineering history and developments, hydraulic engineering pioneers, Bureau of Reclamation history and developments, university water and hydraulic education and research, hydrology and water resource planning, and an invited paper discussing the history of life on the Coosa, Tallapoosa, Cahaba, and Alabama rivers. Six contributions discuss the formation of the Environmental and Water Resources Institute (EWRI) and the history of ASCE technical divisions and codes and standards activities. Annotation copyrighted by Book News, Inc., Portland, OR.
Focusing on globalization in the late nineteenth and early twentieth centuries, Jessica Teisch examines the processes by which American water and mining engineers who rose to prominence during and after the California Gold Rush of 1849 exported the United
This collection contains 18 papers presented at the Fourth National EWRI History Symposium, Environmental and Water Resources Institute Congress, held in Tampa, Florida, May 15-19, 2007.
A dictionary written for the Civil Professional Engineering (PE) exam.
ENVIRONMENTAL ENGINEERING
Environmental engineering protects the conditions of a safe environment, its role being crucial in eliminating ecological threats. It has an interdisciplinary character, utilising principles from biology, chemistry, biochemistry and physics to neutralize pollutants in all facets of the environment. Environmental engineering deals with a wide range of technical and technological problems, including the design and maintenance of water supply, sewage disposal, heating, ventilation and air-conditioning in buildings. This proceedings aims to assess the state of scientific research in various areas of environmental engineering; to evaluate organizational, technical and technological progress in contributing to ecological security; and to determine the place of environmental engineering in sustainable development, taking into account current political and economic conditions. Environmental Engineering is an invaluable source of information and ideas for the international environment engineering scientific community.