loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2006 First International Multi-Symposiums on Computer and Computational Sciences
Application of Optimal Search Theory in the Detection of Water Pollution Accident Source
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
x 
 
Ying Liu, Dan Liu, Fan Zhang, Qingxin Zhu, "Application of Optimal Search Theory in the Detection of Water Pollution Accident Source," Computer and Computational Sciences, International Multi-Symposiums on, vol. 2, pp. 262-265, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
x
 
@article{ 10.1109/IMSCCS.2006.191,
author = {Ying Liu and Dan Liu and Fan Zhang and Qingxin Zhu},
title = {Application of Optimal Search Theory in the Detection of Water Pollution Accident Source},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {2},
year = {2006},
isbn = {0-7695-2581-4},
pages = {262-265},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.191},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - Application of Optimal Search Theory in the Detection of Water Pollution Accident Source
SN - 0-7695-2581-4
SP262
EP265
A1 - Ying Liu,
A1 - Dan Liu,
A1 - Fan Zhang,
A1 - Qingxin Zhu,
PY - 2006
KW - null
VL - 2
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Ying Liu, Southwest Jiaotong University, China
Dan Liu, Southwest Jiaotong University, China
Fan Zhang, Southwest Jiaotong University, China
Qingxin Zhu, University of Electronic Science and Technology, China
The distribution method of the monitoring effort is studied by using the optimal search theory to detect the water pollution accident source for a suddenlyoccurred pollution event in the river basin. For the sudden accident by characteristic contaminants in medium-sized river, the research sets the target distribution and the detection function, and builds the optimal search model of detecting the water pollution accident source, then finds the optimal search plans. The plans can maximize the probability of detecting the water pollution accident source subject to a fixed time.
Citation:
Ying Liu, Dan Liu, Fan Zhang, Qingxin Zhu, "Application of Optimal Search Theory in the Detection of Water Pollution Accident Source," imsccs, vol. 2, pp.262-265, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
Usage of this product signifies your acceptance of the Terms of Use.