Jump to main content
US EPA
United States Environmental Protection Agency
Search
Search
Main menu
Environmental Topics
Laws & Regulations
About EPA
Health & Environmental Research Online (HERO)
Contact Us
Print
Feedback
Export to File
Search:
This record has one attached file:
Add More Files
Attach File(s):
Display Name for File*:
Save
Citation
Tags
HERO ID
2279475
Reference Type
Journal Article
Title
Comparison of the accuracy of kriging and IDW interpolations in estimating groundwater arsenic concentrations in Texas
Author(s)
Gong, G; Mattevada, S; O'Bryant, SE
Year
2014
Is Peer Reviewed?
Yes
Journal
Environmental Research
ISSN:
0013-9351
EISSN:
1096-0953
Volume
130
Page Numbers
59-69
Language
English
PMID
24559533
DOI
10.1016/j.envres.2013.12.005
Web of Science Id
WOS:000333072600009
Abstract
Exposure to arsenic causes many diseases. Most Americans in rural areas use groundwater for drinking, which may contain arsenic above the currently allowable level, 10µg/L. It is cost-effective to estimate groundwater arsenic levels based on data from wells with known arsenic concentrations. We compared the accuracy of several commonly used interpolation methods in estimating arsenic concentrations in >8000 wells in Texas by the leave-one-out-cross-validation technique. Correlation coefficient between measured and estimated arsenic levels was greater with inverse distance weighted (IDW) than kriging Gaussian, kriging spherical or cokriging interpolations when analyzing data from wells in the entire Texas (p<0.0001). Correlation coefficient was significantly lower with cokriging than any other methods (p<0.006) for wells in Texas, east Texas or the Edwards aquifer. Correlation coefficient was significantly greater for wells in southwestern Texas Panhandle than in east Texas, and was higher for wells in Ogallala aquifer than in Edwards aquifer (p<0.0001) regardless of interpolation methods. In regression analysis, the best models are when well depth and/or elevation were entered into the model as covariates regardless of area/aquifer or interpolation methods, and models with IDW are better than kriging in any area/aquifer. In conclusion, the accuracy in estimating groundwater arsenic level depends on both interpolation methods and wells' geographic distributions and characteristics in Texas. Taking well depth and elevation into regression analysis as covariates significantly increases the accuracy in estimating groundwater arsenic level in Texas with IDW in particular.
Keywords
IDW; Kriging; Groundwater; Arsenic; Texas
Tags
•
Arsenic Hazard ID
PubMed
Considered New
PubMed
Considered New
PubMed
WOS
Considered New
ToxNet
Considered New
WOS
ToxNet
Excluded
Toxnet Duplicates
WOS Duplicates
WOS
ToxNet
Excluded
Toxnet Duplicates
WOS Duplicates
2. Lit Search Updates through Oct 2015
PubMed
WOS
ToxNet
Considered
7. Other Studies through Oct 2015
Other
Not Relevant
•
Arsenic (Inorganic)
1. Literature
Lit search updates through Oct 2015
Identified during manual review of authoritative sources
3. Hazard ID Screening
Other potentially supporting studies
5. Susceptibility Screening
Excluded/Not relevant
•
Arsenic Susceptibility
1. Susceptibility Literature Screening
Supplemental Search
2. Excluded
Not Relevant
Home
Learn about HERO
Using HERO
Search HERO
Projects in HERO
Risk Assessment
Transparency & Integrity