Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)

Optimization Design of Groundwater Level Monitoring Network Based on the Geo-Statistics

Authors
Jing Chen
Corresponding Author
Jing Chen
Available Online July 2013.
DOI
10.2991/icssr-13.2013.22How to use a DOI?
Keywords
groundwater monitoring network; geo-statistics theory; optimization design; precision requirement.
Abstract

The current groundwater monitoring network has many problems caused by the history and poor techniques, which has provided incomplete groundwater information and it is adverse to the management of groundwater resources. So it is necessary to optimize it. The writer takes the deep pore confined water monitoring network in Ningbo Plain as an example ,using the main two parts of geo-statistics—variogram and Kriging interpolation to adjust the number and position of the current 29 wells on it, finally getting a new more reasonable monitoring network consists of 19 wells after removing 17 redundant wells and adding 7 new wells.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
10.2991/icssr-13.2013.22
ISSN
1951-6851
DOI
10.2991/icssr-13.2013.22How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing Chen
PY  - 2013/07
DA  - 2013/07
TI  - Optimization Design of Groundwater Level Monitoring Network Based on the Geo-Statistics
BT  - Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/icssr-13.2013.22
DO  - 10.2991/icssr-13.2013.22
ID  - Chen2013/07
ER  -