Electromagnetic Terrain Conductivity Survey Methods for Detection of Seepage Plumes from Animal Waste Lagoons

1995 ◽  
Author(s):  
R. L. Huffman ◽  
P. W. Westerman
Keyword(s):  
Survey Methods ◽  
Animal Waste ◽  
Waste Lagoons

Movement of Lagoon-Liquor Constituents below Four Animal-Waste Lagoons

2005 ◽  
Vol 34 (4) ◽  
pp. 1234-1242 ◽  
Author(s):  
Tom M. DeSutter ◽  
Gary M. Pierzynski ◽  
Jay M. Ham
Keyword(s):  
Animal Waste ◽  
Waste Lagoons

Impact of animal waste lagoons on ground-water quality

1990 ◽  
Vol 34 (1) ◽  
pp. 39-54 ◽  
Author(s):  
W.F. Ritter ◽  
A.E.M. Chirnside
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Animal Waste ◽  
Ground Water Quality ◽  
Waste Lagoons

Measuring gas emissions from animal waste lagoons with an inverse-dispersion technique

2013 ◽  
Vol 66 ◽  
pp. 101-106 ◽  
Author(s):  
Kyoung S. Ro ◽  
Melvin H. Johnson ◽  
Kenneth C. Stone ◽  
Patrick G. Hunt ◽  
Thomas Flesch ◽  
...  
Keyword(s):  
Animal Waste ◽  
Gas Emissions ◽  
Inverse Dispersion ◽  
Waste Lagoons ◽  
Dispersion Technique

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

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