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The ascii grids represent regional probabilities that groundwater in a particular location will have dissolved oxygen (DO) concentrations less than selected threshold values representing anoxic groundwater conditions or will have dissolved manganese (Mn) concentrations greater than selected threshold values representing secondary drinking water-quality contaminant levels (SMCL) and health-based screening levels (HBSL) for water quality. The probability models were constrained by the alluvial boundary of the Central Valley to a depth of approximately 300 meters (m). We utilized prediction modeling methods, specifically boosted regression trees (BRT) with a Bernoulli error distribution within a statistical learning...
Categories: Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Boosted Regression Trees,
California,
Central Valley, California,
Domestic Well Water Use,
Drinking Water Use,
This data set provides the supporting data for the publication "What Makes a First Magnitude Sping?--Global Uncertainty Analysis of a Speleogenesis Model to Gain Insight into Karst Spring Genesis". This publication documents a speleogenesis model that was used to generate karst networks. Morris Method Global Sensitivity Analysis (MM-GSA) is used to efficiently sample input parameters to define a potential karst network. The MM-GSA provides information about sensitivity of hydrologic and transport response metrics (e.g., peak flows, peak timing, mass flux) to evaluated input parameters (e.g. network density, proto-conduit length distribution). There were 390 models in the analysis, therefore one replicate is provided...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geochemistry,
Groundwater Modeling,
Hydrogeology,
Karst,
Ocala, FL,
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