Semester.ly

Johns Hopkins University | EN.570.657

Air Pollution

3.0

credits

Average Course Rating

(3.91)

The course consists of an introduction to the fundamental concepts of air pollution. Major topics of concern are aspects of atmospheric motion near the earth’s surface; basic thermodynamics of the atmosphere; atomospheric stability and turbulence; equations of mean motion in turbulent flow, mean flow in the surface boundary layer; mean flow, turbulence in the friction layer; diffusion in the atmosphere; statistical theory of turbulence; plume rise. Emphasis is place upon the role and utility of such topics in a systems analysis context, e.g., development of large and mesoscale air pollution abatement strategies. Comparisons of the fundamental concepts common to both air and water pollution are discussed.

Spring 2013

(4.04)

Spring 2014

(3.65)

Spring 2023

(4.03)

Spring 2013

Professor: Joseph El is

(4.04)

The best aspects of the course included the interesting lectures, wide range of topics covered, and the very enthusiastic professor. The professor showed a genuine interest in helping students learn the material and was very flexible with the class. The worst aspect of the course was the professor’s disorganized lectures because he would sometimes leave out vital information. Students also felt that the lessons on Air Pol ution were repetitive. The course would improve if there were more detailed and organized lessons on Air pol ution. Prospective students should prepare for some chal enging weekly assignments, and must have a strong engineering/math background to understand many of the concepts.

Spring 2014

Professor: Joseph El is

(3.65)

The best aspects of this course were the interesting topics covered, the knowledgeable and approachable instructor, and the real life examples presented in class. The instructor was always willing to pause lecture in order to answer questions, and was focused on his students understanding the concepts rather than just passing exams. However, some students found the lecture style dry, and thought the course materials were poorly organized. Suggestions for improving the course included better organizing the course files and documents, providing more instruction on computer modeling, and adding more visual aids to the lectures. Prospective students should know that the workload is fairly low, only one exam, one paper, and a few problem sets. The instructor is more than willing to give additional instruction to students and does not assume any background knowledge.

Spring 2023

Professor: Hugh Ellis

(4.03)