Journal Title
Title of Journal: Water Qual Expo Health
|
Abbravation: Water Quality, Exposure and Health
|
Publisher
Springer Netherlands
|
|
|
|
|
|
Authors: Ijaz Hussain Naima Mubarak Javid Shabbir Tajammal Hussain Muhammad Faisal
Publish Date: 2014/12/19
Volume: 7, Issue: 3, Pages: 339-345
Abstract
Sulfate is a key parameter for water quality and is commonly used in manufacturing of fertilizers soaps glass papers and common household items If sulfate quantity is more than a threshold it is hazardous for health In the present paper we use Bayesian kriging with external drift and Gaussian spatial predictive process model to analyze the spatial behavior of response variable Sulfate Different informative and noninformative priors are utilized to estimate the correlation parameters The performance of these models are compared by means of twofold cross validation with deviance information criterion and root mean square prediction as criterion In summary the inclusion of covariates plays an important role in minimizing the mean square prediction error Bayesian kriging with external drift performs better than Gaussian spatial predictive process The predictive distribution of Bayesian kriging with external drift is also applicable for interpolation of sulfate concentration at unobserved locationsThe authors are grateful to Pakistan Council of Research in Water Resources Regional office Lahore for providing data to meet the objectives of the study The authors are also thankful to the Deanship of Scientific Research King Saud University Riyadh for funding the work through the research Group project No RGPVPP210 Last but not least the authors are thankful to the reviewers and editor for their valuable comments
Keywords:
.
|
Other Papers In This Journal:
|