Applications and Computational Elements of Industrial Hygiene.
Author | : Martin B. Stern |
Publisher | : CRC Press |
Total Pages | : 857 |
Release | : 2018-04-24 |
ISBN-10 | : 9781351466257 |
ISBN-13 | : 1351466259 |
Rating | : 4/5 (259 Downloads) |
Download or read book Applications and Computational Elements of Industrial Hygiene. written by Martin B. Stern and published by CRC Press. This book was released on 2018-04-24 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the only textbook available today that covers all of the critical elements of industrial hygiene ó conceptual information, computational coverage, case studies, and sample problems and exercises ó in one volume. Organized around the basic rubrics of industrial hygiene, this book helps students to think like industrial hygienists while offering the latest techniques for practicing professionals. Applications and Computational Elements of Industrial Hygiene is the most complete reference available on IH, and is also an ideal study aid for exam preparation. This is the first and only textbook that includes all critical computations for each concept covered. Each chapter discusses a different hazard and how to recognize, evaluate, and control it. The advantage of this approach is clear; technical issues, instrumental techniques, engineering control procedures ó relevant issues from A to Z ó are discussed for each hazard. Chapters conclude with case studies that offer critical insight into the practical aspects of the field. The book also covers emerging issues that will affect industrial hygienists in the future. The book includes real-life situations and experiences to demonstrate practical applications of concepts presented in the text. For students, Applications and Computational Elements of Industrial Hygiene offers critical material formerly scattered across multiple sources. For seasoned industrial hygienists, this is an essential problem-solving tool and state-of-the-art reference that consolidates and updates previously scattered information.