Geology Reference
In-Depth Information
exceed a predecided value i.e., the network was designed based on ordinary
kriging by analyzing the sum of square difference and the mean standard
deviation, keeping the cut off standard deviation (
c
= 3. Thus after a few iterations, a network of 40 monitoring wells have been
evolved consisting all 25 specially drilled observation wells and 15 private
irrigation wells keeping the variance of the estimation error within the desired
limit. Monitoring through an optimal network can reduce the amount of data
required while providing the desired accuracy and a few simple procedures
have been developed for a geostatistical optimization of the monitoring
network in this study. Also the use of common variogram reduces half of the
estimation procedure for estimating water levels for various time periods.
The network of 56 wells was thus modified in order to obtain optimum
observation well for monitoring purpose taking into consideration the scientific
importance so that the water level could be measured in least possible time
and also to reduce the cost involved in water level data collection.
c
) at the lowest i.e.,
Table 1:
Variogram, (
h
) = 0 + 148 sph(3500)
Sl.
Sigma
Sigma(
)
K
> S
C
For total
Deleted
Data
No.
(
)
Bar
nodes of
Well No.
Points
227
1
3
5.03
1780
195
----
56
2
3
5.06
1800
196
IFW-3
55
3
3
5.04
1780
195
IFW-4
55
4
3
5.04
1780
195
IFW-5
55
5
3
5.05
1790
196
IFW-6
55
6
3
5.06
1800
196
IFW-3,4
54
7
3
5.05
1780
196
IFW-4,5
54
8
3
5.06
1790
196
IFW-5,6
54
9
3
5.07
1810
196
IFW-3,5
54
10
3
5.08
1810
197
IFW-3,6
54
11
3
5.05
1790
196
IFW-4,6
54
12
3
5.09
1820
197
IFW-3,5,6
53
13
3
5.08
1820
197
IFW-3,4,5
53
14
3
5.08
1810
197
IFW-3,4,6
53
15
3
5.12
1840
198
IFW-3,4,5,6
52
16
3
5.04
1780
196
IFW-10
55
17
3
5.05
1790
195
IFW-11
55
18
3
5.04
1780
195
IFW-12
55
19
3
5.06
1790
196
IFW-10,11
54
20
3
5.05
1780
197
IFW-10,12
54
21
3
5.07
1800
196
IFW-11,12
54
22
3
5.05
1790
196
IFW-16
55
23
3
5.10
1880
197
IFW-17
55
24
3
5.04
1780
195
IFW-18
55
(
contd.
)
