DocumentCode :
501112
Title :
New Well´s Aquifer Designing Based on GIS and Bilinear Interpolation Theory
Author :
Mei, Song ; Lijie, Wang
Author_Institution :
Safety & Manage. Inf. Lab., China Univ. of Min. & Technol., Beijing, China
Volume :
1
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
447
Lastpage :
449
Abstract :
In designing new wells, hydrogeologic operators often make a rough estimation through drawing lines method, according to stratum, aquifer and electric measuring curve of reference wells. This method can not meet the requirement of imprecise for its insufficiency of utilizing data of reference wells. How to analyze the distribution of stratums and aquifers of new well has become a serious problem to be solved urgently in groundwater management. This paper tries to make full use of GIS capacity of data management and strong analysis and the Piecewise Bilinear Interpolation theory to get the aquifer distribution in designing new well and show Cross-section of new well. First, designing database, including graphics database and hydrogeological database. Secondly, according to different wells, choosing reference wells and forming the section graphics of reference wells. From these graphics, the stratum and aquifer of reference wells is displayed. Thirdly, Piecewise Bilinear Interpolation theory is applied to calculate the stratum and aquifer position of new well. The new method shows its advantages in higher precision and efficiency.
Keywords :
environmental science computing; geographic information systems; interpolation; water resources; GIS; aquifer design; data management; drawing lines method; hydrogeologic operators; hydrogeological database; piecewise bilinear interpolation theory; rough estimation; Conference management; Databases; Electric variables measurement; Geographic Information Systems; Graphics; Information management; Interpolation; Resource management; Safety; Technology management; Bilinear Interpolation Method; GIS; Interpolation Theory; aquifer; new well design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.92
Filename :
5231101
Link To Document :
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