Predictive modeling of soluble sulfate ion concentration in the Las Vegas Valley
type: CreativeWork
description: This study investigates the process of identifying soluble sulfate ion concentrations in the Las Vegas Valley. Data utilized in this study were obtained from Clark County Department of Development Services records. Once collected, the data were reviewed and analyzed with traditional non-spatial statistics and spatial-based geostatistical modeling. This study was undertaken in an effort to identify factors that may correlate with soluble sulfate ion concentrations and to determine the feasibility of producing a predictive model capable of estimating soluble sulfate ion concentrations within the Las Vegas Valley; The study showed that relief, spatial location, soil grain size classification and Clark County Soils Guideline Map Areas may all provide useful correlations in predicting soluble sulfate ion concentrations. The study also produced a preliminary geospatial statistical model capable of identifying large scale trends in the distribution of soluble sulfate ion concentrations. It is likely that this preliminary model will be optimized in the future and serve as the basis for a more accurate and robust predictive model. This study represents the first steps in an effort to better understand the nature of soluble sulfate ion distribution and should be of interest to local geotechnical designers who routinely identify these concentrations in their professional activities.
abstract: This study investigates the process of identifying soluble sulfate ion concentrations in the Las Vegas Valley. Data utilized in this study were obtained from Clark County Department of Development Services records. Once collected, the data were reviewed and analyzed with traditional non-spatial statistics and spatial-based geostatistical modeling. This study was undertaken in an effort to identify factors that may correlate with soluble sulfate ion concentrations and to determine the feasibility of producing a predictive model capable of estimating soluble sulfate ion concentrations within the Las Vegas Valley; The study showed that relief, spatial location, soil grain size classification and Clark County Soils Guideline Map Areas may all provide useful correlations in predicting soluble sulfate ion concentrations. The study also produced a preliminary geospatial statistical model capable of identifying large scale trends in the distribution of soluble sulfate ion concentrations. It is likely that this preliminary model will be optimized in the future and serve as the basis for a more accurate and robust predictive model. This study represents the first steps in an effort to better understand the nature of soluble sulfate ion distribution and should be of interest to local geotechnical designers who routinely identify these concentrations in their professional activities.
author: Hellmer, Werner K
language: English
date published: 2003-01-01T08:00:00Z
date modified: 2026-07-24T05:25:40Z
provider: University of Nevada - Las Vegas
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Nevada, Las Vegas

PropertyValue
property ID: DOI
value: 10.25669/p5mf-p6w0