Richard H. McCuen

Edna Z. Ezzell

Melanie K. Wong

While the ASCE Body of Knowledge (BOK2) is the codified source for all technical and non-technical information necessary for those seeking to attain licensure in civil engineering, recent graduates have notoriously been lacking in the non-technical aspects even as they excel in the technical. Fundamentals of Civil Engineering: An Introduction to the ASCE Body of Knowledge addresses this shortfall and helps budding engineers develop the knowledge, skills, and attitudes suggested and implied by the BOK2. Written as a resource for all of the non-technical outcomes not specifically covered in the BOK2, it details fundamental aspects of fourteen outcomes addressed in the second edition of the ASCE Body of Knowledge and encourages a broader perspective and understanding of the role of civil engineers in society as well as the reciprocal influence between civil engineering and social evolution. With discussion questions and group activities at the end of each chapter, topics covered include humanities and social sciences, experimentation, sustainability, contemporary issues and historical perspectives, risk and uncertainty, communication, public policy, globalization, leadership and teamwork, and professional and ethical responsibilities. Suitable for both current and former students in pursuit of further breadth and depth of knowledge and professional maturity, this primer promotes introspection, self-evaluation, and self-learning. It details those attitudes that are essential to the achievement of personal and professional success and advancement to positions of leadership, and encourages an appreciation of the human values that are fundamental to professional practice.

An Introduction to the ASCE Body of Knowledge

Fundamentals of Civil Engineering

Allen P. Davis

Land development to support population increases and shifts requires changes to the hydrologic cycle. Increased impervious area results in greater volumes of runoff, higher flow velocities, and increased pollutant fluxes to local waterways. As we learn more about the negative impacts of these outcomes, it becomes more important to develop and manage land in a smart manner that reduces these impacts. This text provides the reader with background information on hydrology and water quality issues that are necessary to understand many of the environmental problems associated with land development and growth. The variability of runoff" flows and pollutant concentrations, however, makes the performance of simple technologies erratic and predicting and modeling their performance difficult. Chapters on statistics and modeling are included to provide the proper background and tools. The latter chapters of the text cover many of the different technologies that can be employed to address runoff flows and improve water quality. These chapters take a design approach with specific examples provided for many of the management practices. A number of methods are currently available for addressing the problems associated with stormwater runoff quality from urban areas; more continue to be developed as research is advanced and interest in this subject continues to surge. Traditionally, techniques for the improvement of runoff quality were borrowed applications from water and wastewater treatment, such as large sedimentation ponds Recently, increased interest has been placed on using natural systems to improve water quality.

Stormwater Management for Smart Growth

Bilal M. Ayyub

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition

Modeling hydrologic changes and predicting their impact on watersheds is a dominant concern for hydrologists and other water resource professionals, civil and environmental engineers, and urban and regional planners. As such changes continue, it becomes more essential to have the most up-to-date tools with which to perform the proper analyses and modeling of the complex ecology, morphology, and physical processes that occur within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling procedures to help you properly analyze and model real-world data. The text addresses modeling systems where change has affected data that will be used to calibrate and test models of the system. The use of actual hydrologic data will help you learn how to handle the vagaries of real-world hydrologic-change data. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification. Although the book is oriented towards the statistical aspects of modeling, a strong background in statistics is not required. The statistical and modeling methods discussed here will be of value to all disciplines involved in modeling change. With approximately 100 illustrations, Modeling Hydrologic Change will equip you with an understanding with which to perform the proper analyses and modeling of the complex processes that occur across various disciplines.

Richard H. McCuen

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