GIS Role In Ground Water GIS Role In Ground Water GIS Role In Ground Water GIS Role In Ground Water Modeling Part Modeling Part 11

By Marie Krausnick, Lead Water Resources Technician, Upper Big Blue NRDUpper Big Blue NRD

What Are Nebraska’s NRDs?What Are Nebraska’s NRDs?What Are Nebraska s NRDs?What Are Nebraska s NRDs?

Why Do NRDs Develop Ground Why Do NRDs Develop Ground Water Models?Water Models? To evaluate impact to stream flows for p

endangered species & surface water appropriationspp p

To estimate hydrologic connectivity between ground & surface waterg

To assist NRDs with development of ground water management policyground water management policy

To track potential ground water contaminatescontaminates

Early Modeling EffortsEarly Modeling EffortsEarly Modeling EffortsEarly Modeling Efforts

The 60’s

Dawn Of Computer’s In ModelingDawn Of Computer’s In ModelingDawn Of Computer s In ModelingDawn Of Computer s In Modeling

The 70’s

TodayTodayTodayToday

Models With NRD InvolvementModels With NRD InvolvementModels With NRD InvolvementModels With NRD Involvement

GIS Data Sets Used In A Ground GIS Data Sets Used In A Ground Water ModelWater Model Land Use – irrigation & cropland g p

development Well Developmente eve op e t Well Pumping & Recharge Evapotranspiration Evapotranspiration Stream Networks Land Elevation Geology

Building A Geology DatasetBuilding A Geology DatasetBuilding A Geology DatasetBuilding A Geology Dataset

Would like to say it uses a lot of cool GIS, ybut I would be lying.

It does use a lot of database planning, t oes use a ot o atabase p a g, organization and building.

First, What’s In A Geology Dataset?First, What’s In A Geology Dataset?First, What s In A Geology Dataset?First, What s In A Geology Dataset?

Land Elevation Point Name Location Location Conductivity

S ifi Yi ld Specific Yield Layer Thickness Bottom Layer Elevations

Second, What Kinds Of Data Are Second, What Kinds Of Data Are Available?Available? CSD Test Hole Log Databaseg State’s Registered Irrigation Well

Databaseatabase LIDAR or DEM elevation layers Rivers & Streams Rivers & Streams

Criteria For Selecting Irrigation Well Criteria For Selecting Irrigation Well LogsLogs Good depth - preferably to bedrockp p y Good material descriptions

Wells Used To Set Model GeologyWells Used To Set Model GeologyWells Used To Set Model GeologyWells Used To Set Model Geology

Defining Model LayersDefining Model LayersDefining Model LayersDefining Model Layers

Visually inspect logs to identify layers y p g y ybased on materials

Geologist review of layer designationsGeo og st ev ew o aye es g at o s

Building A Join TableBuilding A Join Table IIBuilding A Join TableBuilding A Join Table II

Assigning hydrologic conductivity and g g y g yspecific yield values based on material◦ Very time consumingy g◦ Summary Tables

Building A Join TableBuilding A Join Table IIIIBuilding A Join TableBuilding A Join Table IIII

Calculate a weighted Conductivity and g ySpecific Yield based on layer thicknesses

Building A Join TableBuilding A Join Table IIIIIIBuilding A Join TableBuilding A Join Table IIIIII

Transfer the calculations to a table

Final ProductFinal ProductFinal ProductFinal Product This table can be joined to your .shp or feature class

REGISTRATION TH_1 K_1 SY_1 TH_2 K_2 SY_2 TH_3 K_3 SY_3 TH_4 K_4 SY_4 TH_5 K_5 SY_5100‐B‐47 17.00 0.53 0.04 48.00 1.42 0.05 24.00 0.49 0.04 16.00 94.47 0.23 2.00 0.34 0.04102‐B‐47 19.50 1.48 0.05 47.50 0.48 0.04 18.00 5.84 0.10 72.50 2.04 0.05 4.00 0.61 0.05103‐B‐47 38.50 0.48 0.04 11.50 0.48 0.04 22.50 1.15 0.05 17.50 0.93 0.04 42.50 3.29 0.07104‐B‐47 40.00 0.48 0.04 63.00 8.32 0.08 28.00 1.98 0.05 37.00 0.86 0.04 14.50 0.46 0.04105‐B‐47 24.50 0.48 0.04 63.00 80.90 0.26 5.50 0.48 0.04 4.00 0.61 0.05 8.00 0.34 0.04106‐B‐47 43 00 0 47 0 04 50 50 71 36 0 24 14 50 0 56 0 05 134 50 98 70 0 25 79 00 12 08 0 07106‐B‐47 43.00 0.47 0.04 50.50 71.36 0.24 14.50 0.56 0.05 134.50 98.70 0.25 79.00 12.08 0.07107‐B‐47 54.50 0.93 0.04 59.00 82.20 0.26 13.50 0.48 0.04 161.00 85.63 0.25 122.00 8.88 0.08108‐B‐47 55.50 0.56 0.05 23.00 68.44 0.24 35.50 48.69 0.18 119.00 82.73 0.25 29.50 6.55 0.06109‐B‐47 50.00 4.07 0.06 42.50 59.92 0.17 8.50 0.59 0.05 115.50 93.55 0.24 65.50 11.33 0.0710‐A‐42 2.00 2.04 0.05 49.00 130.43 0.25 55.00 0.51 0.04 1.25 197.70 0.24 1.20 197.70 0.2410‐A‐51 10.50 0.99 0.05 10.50 27.00 0.16 10.50 0.48 0.04 28.50 5.84 0.10 8.50 0.58 0.0510‐A‐54 55.00 0.46 0.04 41.50 53.38 0.21 49.50 0.48 0.04 67.00 40.30 0.18 11.40 0.51 0.0410‐A‐60 2.00 0.87 0.04 12.00 0.57 0.05 17.50 0.61 0.05 35.00 0.61 0.05 19.00 0.61 0.0510‐B‐44 28 00 0 48 0 04 27 00 0 61 0 05 65 00 0 61 0 05 25 00 0 61 0 05 43 00 71 90 0 2710 B 44 28.00 0.48 0.04 27.00 0.61 0.05 65.00 0.61 0.05 25.00 0.61 0.05 43.00 71.90 0.2710‐B‐75 2.50 0.61 0.05 7.50 44.90 0.22 50.00 80.90 0.26 18.00 50.90 0.23 2.00 0.61 0.05110‐B‐47 79.50 0.94 0.05 47.50 62.35 0.24 5.00 1.33 0.05 8.50 80.90 0.26 38.50 0.96 0.04111‐B‐47 30.50 0.56 0.04 17.50 27.00 0.16 9.50 0.49 0.04 156.00 66.86 0.24 152.50 3.43 0.06

112‐B‐47 17.50 0.54 0.04 27.00 30.80 0.17 18.50 11.98 0.09 93.00 83.62 0.25 45.50 7.05 0.05

11‐A‐42 2.00 0.61 0.05 62.50 118.88 0.26 38.50 0.55 0.05 5.50 143.80 0.25 5.50 143.80 0.2511‐A‐51 2.50 27.00 0.16 48.00 27.81 0.15 25.00 0.61 0.05 46.00 16.69 0.12 39.00 0.45 0.0411‐A‐54 56.00 0.54 0.04 64.00 53.84 0.23 78.00 9.97 0.08 79.00 45.54 0.20 16.00 2.98 0.0511‐A‐60 20 00 0 52 0 04 27 50 0 61 0 05 40 40 0 53 0 04 39 50 0 56 0 05 4 80 0 48 0 0411 A 60 20.00 0.52 0.04 27.50 0.61 0.05 40.40 0.53 0.04 39.50 0.56 0.05 4.80 0.48 0.0411‐B‐45 15.00 0.44 0.04 1.00 80.90 0.26 76.00 0.74 0.05 46.00 72.43 0.22 71.00 9.65 0.0811‐B‐75 3.00 0.61 0.05 14.00 80.90 0.26 6.00 0.61 0.05 57.00 80.90 0.26 10.00 5.84 0.1012‐A‐42 8.50 16.08 0.11 63.50 160.27 0.25 22.00 44.57 0.10 43.00 94.79 0.13 22.00 261.49 0.1912‐A‐51 41.50 0.58 0.04 30.50 60.77 0.21 26.00 9.24 0.09 105.00 11.55 0.10 5.00 0.36 0.0312‐A‐54 61.50 0.52 0.04 71.50 36.20 0.18 22.50 6.35 0.07 184.50 48.74 0.21 33.50 17.09 0.1112‐A‐60 53.50 0.60 0.05 6.50 51.55 0.24 25.00 0.57 0.05 6.90 36.00 0.19 88.30 0.57 0.0512‐B‐44 23.00 0.51 0.04 22.00 52.99 0.24 8.00 0.53 0.04 20.80 62.90 0.27 20.70 62.90 0.2712‐B‐75 1.50 0.61 0.05 16.50 80.90 0.26 4.00 0.61 0.05 62.50 2.39 0.05 5.50 5.84 0.1012 B 75 1.50 0.61 0.05 16.50 80.90 0.26 4.00 0.61 0.05 62.50 2.39 0.05 5.50 5.84 0.1013‐A‐42 2.00 0.61 0.05 16.00 163.51 0.24 16.00 0.36 0.03 114.00 124.49 0.21 19.00 85.58 0.1413‐A‐51 3.00 0.57 0.05 27.00 33.49 0.18 16.50 6.16 0.07 71.50 54.78 0.22 90.00 3.67 0.0713‐A‐54 26.00 0.62 0.04 52.50 46.04 0.20 9.00 1.25 0.06 181.50 50.48 0.23 3.30 15.71 0.10

GIS Takes OverGIS Takes OverGIS Takes OverGIS Takes Over

Using land surface elevations you can then g ycalculate layer elevations

Use your features to interpolate the dataUse you eatu es to te po ate t e ata Append the interpolated data to your

model gridmodel grid Load the model grid into your modeling

software of choicesoftware of choice

Thank YouThank YouThank YouThank You

I will turn this presentation over to Tylr to p yexplain the ELM Model and how the Lower Loup uses the results in their pground water management plan.

Shift of Focus to Part 2Shift of Focus to Part 2