SOCR 061708 NC Data Aquifer

Data Overview

Texas Wolfcamp Aquifer

The Wolfcamp aquifer data (Cressie, 1993, pp. 212-214) was acquired by the U.S. Department of Energy in the 1980s to study a nuclear waste site, Deaf Smith County in Texas (bordering New Mexico). The contamination of the aquifer was a concern, and therefore the piezometric-head data were obtained at 85 locations by drilling a narrow pipe through the aquifer.

Data Description

Piezometric head measurements taken at the Wolfcamp Aquifer, Texas, USA. See Cressie (1993, p.212–214) for description of the scientific problem and the data. Original data were converted to SI units: coordinates are given in kilometers and pressure heads measures are in kilometers above the sea level.

• X = Horizontal distance in kilometers from one location (an arbitrary point).
• Y = Vertical distance in kilometers from one location (an arbitrary point).
• Data = Pressure heads measures are in kilometers above the sea level

Data Table

X	Y	Data
42.78275	127.62282	1.464
-27.39691	90.78732	2.553
-1.16289	84.896	2.158
-18.61823	76.45199	2.455
96.46549	64.58058	1.756
108.56243	82.92325	1.702
88.36356	56.45348	1.805
90.04213	39.2582	1.797
93.17269	33.05852	1.714
97.61099	56.27887	1.466
90.62946	35.08169	1.729
92.55262	41.75238	1.638
99.48996	59.15785	1.736
-24.06744	184.76636	1.476
-26.06285	114.07479	2.2
56.27842	26.84826	1.999
73.03881	18.8814	1.68
80.26679	12.61593	1.806
80.23009	14.61795	1.682
68.83845	107.77423	1.306
76.39921	95.9938	1.722
64.46148	110.39641	1.437
43.39657	53.61499	1.828
39.07769	61.99805	2.118
112.8045	45.54766	1.725
54.25899	147.81987	1.606
6.13202	48.32772	2.648
-3.80469	40.4045	2.56
-2.23054	29.91113	2.544
-2.36177	33.82002	2.386
-2.1889	33.68207	2.4
63.22428	79.49924	1.757
-10.7786	175.11346	1.402
-18.98889	171.91695	1.364
-38.57884	158.52742	1.735
83.14496	159.11559	1.376
-21.80248	15.02551	2.729
-23.56457	9.41441	2.766
-20.11299	22.09269	2.736
-16.62654	17.25621	2.432
29.90748	175.12875	1.024
100.91568	22.97808	1.611
101.29544	22.96385	1.548
103.26625	20.34239	1.591
-14.31073	31.26545	2.54
-18.13447	30.18118	2.352
-18.12151	29.53241	2.528
-9.88796	38.14483	2.575
-12.16336	39.11081	2.468
11.65754	18.73347	2.646
61.69122	32.94906	1.739
69.57896	33.80841	1.674
66.72205	33.93264	1.868
-36.65446	150.91457	1.865
-19.55102	137.78404	1.777
-21.29791	131.82542	1.579
-22.36166	137.1368	1.771
21.14719	139.26199	1.408
7.68461	126.83751	1.527
-8.33227	107.77691	2.003
56.70724	171.26443	1.386
59.00052	164.54863	1.089
68.96893	177.2482	1.384
70.90225	161.38136	1.03
73.00243	162.98959	1.092
59.66237	170.10544	1.161
61.87249	174.30177	1.415
63.7081	173.91454	1.231
5.62706	79.0873	2.3
18.24739	77.39191	2.238
85.68824	139.81702	1.038
105.07646	132.03181	1.332
-101.64278	10.65106	3.51
-145.23654	28.02333	3.49
-73.99313	87.9727	2.594
-94.48182	86.62606	2.65
-88.84983	76.70991	2.533
-120.25898	80.76485	3.571
-86.02454	54.36334	2.811
-72.79097	43.09215	2.728
-100.17372	42.89881	3.136
-78.83539	40.82141	2.553
-83.69063	46.50482	2.798
-95.61661	35.82183	2.691
-87.5548	29.39267	2.946

References

• Cressie, N.A.C (1993) Statistics for Spatial Data. New York: Wiley.
• Papritz, A. and Moyeed, R. (2001) Parameter uncertainty in spatial prediction: checking its importance by cross-validating the Wolfcamp and Rongelap data sets. GeoENV 2000: Geostatistical for Environmental Applications. Ed. P. Monestiez, D. Allard, R. Froidevaux. Kluwer.

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