Groundwater Trends
The Groundwater Trends webmap (link below) displays the results of statistical trend analysis over the last 30 years of groundwater measurements from groundwater monitoring sites within the state of Indiana. Trends for several water level metrics are available for viewing through the interactive map. Descriptions of the various metrics presented in the webmap can be found at the bottom of this page. More information on the analysis methodology can be found here
Layers Present in Webmap
Rate of Change of Mean Water Table [in/yr] - The rate of change of the annual mean water level over the last 30 years based on the Theil-Sen trend slope estimator. An increasing trend indicates a rising water table although the depth to the water table is decreasing. Statistically significant trends were identified based on a 10% significance level using the Mann-Kendall statistical test.
Rate of Change of Maximum Water Table [in/yr] - The rate of change of the annual maximum water level over the last 30 years based on the Theil-Sen trend slope estimator. An increasing trend indicates a rising water table although the depth to the water table is decreasing. Statistically significant trends were identified based on a 10% significance level using the Mann-Kendall statistical test.
Rate of Change of Minimum Water Table [in/yr] - The rate of change of the annual minimum water level over the last 30 years based on the Theil-Sen trend slope estimator. An increasing trend indicates a rising water table although the depth to the water table is decreasing. Statistically significant trends were identified based on a 10% significance level using the Mann-Kendall statistical test.
Rate of Change of Water Table Range [in/yr] - The rate of change of the annual water level range over the last 30 years based on the Theil-Sen trend slope estimator. An increasing trend indicates a rising water table although the depth to the water table is decreasing. Statistically significant trends were identified based on a 10% significance level using the Mann-Kendall statistical test.
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