This page provides supplemental information for OWRC Project 2020:
In the past decade, annually occurring extreme and exceptional droughts in Oklahoma have impacted up to 95% of the total state area (Drought Monitor,
2017) causing considerable economic losses in many sectors, especially agriculture (Stotts, 2011). Most studies assessing drought events focus on the
past and current meteorological, hydrological, and agricultural drought (Huang et al., 2017; Stagge et al., 2015; Awange et al., 2016). At the same time,
studies are scarce that would quantify economic repercussions of changing water availability and interactions between soil moisture and groundwater
resources on municipal, industrial and agricultural users in Oklahoma. This project aims to improve understanding of those interactions and their economic
impacts by developing a decision-support tool for sustainable water management at the state and at the Oklahoma climate region level.
To view the visualiztion below one will need Google Earth or some other virtual globe to view
this KMZ file. We recommend using Google Earth if you dont have it installed here is a link:
Click here for link to Google Earth for download and installation.
Click here for 3D OWRCproject2020.kmz
The OWRCproject2020.kmz file can also be examined in ArcGIS.
Below is a default view after loading map OWRCproject2020.kmz
Regression correlations were processed across many variables.
Below is a list that correspond to Oklahoma climate regions visualization.
Soil Moisture (SM) vs County Water usage (County_Water)
Ground Water (GM) vs County Water usage (County_Water)
Radar Rain Estimations (Rain) vs County Water usage (County_Water)
Soil Moisture (SM) vs Gross Domestic Product (GDP)
Ground Water (GM) vs Gross Domestic Product (GDP)
Radar Rain Estimations (Rain) vs Gross Domestic Product (GDP)
Soil Moisture (SM) vs Consumer Price Index (CPI)
Ground Water (GM) vs Consumer Price Index (CPI)
Radar Rain Estimations (Rain) vs Consumer Price Index (CPI)
Soil Moisture (SM) vs Per Capita Personal Income (PCPI)
Ground Water (GM) vs Per Capita Personal Income (PCPI)
Radar Rain Estimations (Rain) vs Per Capita Personal Income (PCPI)
Soil Moisture (SM) vs Startup Births (Employment)
Ground Water (GM) vs Startup Births (Employment)
Radar Rain Estimations (Rain) vs Startup Births (Employment)
Soil Moisture (SM) vs Startup Deaths (Employment)
Ground Water (GM) vs Startup Deaths (Employment)
Radar Rain Estimations (Rain) vs Startup Deaths (Employment)
Soil Moisture (SM) vs Producer Price Index (PPI)
Ground Water (GM) vs Producer Price Index (PPI)
Radar Rain Estimations (Rain) vs Producer Price Index (PPI)
The interactive 3D map above shows both positive and negative correlations.
Research by
Dr. Jadwiga (Jad) R. Ziolkowska
Reuben Reyes
Shobey T. Stanley