HYDROGEOLOGIC CONCEPTUAL MODELS

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Juniper Douglas
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1 HYDROGEOLOGIC CONCEPTUAL MODELS DEVELOPING, TESTING, AND COMMUNICATING JOHN LAMBIE, PG, PE, HYDROGEOLOGIST (E-PUR) DR. MATTHEW TONKIN, HYDROGEOLOGIST (S.S. PAPADOPULOS & ASSOCIATES) SHAY OVERTON, PG, CHG, HYDROGEOLOGIST (PROVOST & PRITCHARD)

2 OBJECTIVES FOR THE PRESENTATION DEMONSTRATE THE IMPORTANCE OF THE HYDROGEOLOGIC CONCEPTUAL MODEL (HCM) TO UNDERSTANDING DATA INITIATE A DIALOGUE AMONG THOSE WORKING WITH THE SGMA ON A COMMON FRAMEWORK OF PRACTICES FOR DEVELOPING AND COMMUNICATING HCM(S) CONNECT THE USE OF HCMS TO PLANNING METRICS SUCH AS MEASURABLE OBJECTIVES AND MINIMUM THRESHOLDS IN THE SGMA

3 WHY BUILD A HYDROGEOLOGIC CONCEPTUAL MODEL? AS A FRAMEWORK FOR UNDERSTANDING THE SYSTEM OF SURFACE TO SUBSURFACE MOVEMENT OF WATER AS A FRAMEWORK FOR UNDERSTANDING RELATIONSHIPS AMONG GROUNDWATER HYDRAULIC HEADS IT LIES AT THE ROOT OF ANY QUANTITATIVE ANALYSIS OF WATER UNDER THE SGMA

4 WHAT IS A HYDROGEOLOGIC CONCEPTUAL MODEL? IT S ALL ABOUT THE RELATIONSHIPS AMONG THINGS THAT AFFECT MOVEMENT OF WATER TOPOGRAPHY HYDRAULIC HEAD (PRESSURE) HYDROSTRATIGRAPHY

5 HYDROGEOLOGIC CONCEPTUAL MODEL FORMS AND FORMATS ALL SORTS OF GRAPHICAL AND TABULAR FORMS

6 HYDROGEOLOGIC CONCEPTUAL MODEL FORMS AND FORMATS ALL SORTS OF GRAPHICAL AND TABULAR FORMS

7 THOUGHTS FOR BEST PRACTICES IN HCM DEVELOPMENT INITIAL REVIEW OF GEOLOGY SOURCES AND TYPES OF DATA GEOLOGIC MAPS WELL LOGS E-LOGS FIELD OBSERVATIONS PICTURES AND ROCKS! INITIAL REVIEW OF HYDROLOGY LONG TERM MONITORING (LTM) DATA GROUNDWATER PRECIPITATION MODELS SUCH AS PRISM STREAM GAGES WET SEASON FLOW STREAM BASE FLOW AND BASE FLOW RECESSION

8 FURTHER ON HCM DEVELOPMENT - SECONDARY REVIEW OF GEOLOGY GEOLOGIC STRUCTURAL ANALYSIS

9 FURTHER ON HCM DEVELOPMENT - SECONDARY REVIEW OF GEOLOGY SEDIMENT TEXTURAL ANALYSIS

10 FURTHER CONCEPTS OF BEST PRACTICES FOR HCM DEVELOPMENT SECONDARY REVIEW OF HYDROLOGY LAND USE IMPACTS TO HCM FOR WATER MOVEMENT AGRICULTURAL FOOTPRINTS ON WATER CANAL LEAKAGE EFFECTS CONSERVATION EFFECTS WATER IMPORT EFFECTS URBAN FOOTPRINTS ON WATER CORRELATION ANALYSIS OF LONG-TERM MONITORING DATA (LTM)

11 GROUNDWATER RESPONSE ANALYSIS OF LONG TERM MONITORING (LTM) OBJECTIVE ANALYSIS OF LTM DATA OVER TIME AND SPACE THE EVALUATION OF WATER LEVEL, PUMPING AND OTHER DATA IS ESSENTIALLY PATTERN-RECOGNITION TO IDENTIFY: LARGE-SCALE PATTERNS DUE TO LARGE-SCALE INFLUENCES LOCAL-SCALE DEVIATIONS FROM THESE LARGE PATTERNS DOING SO CAN ENABLE BETTER DEFINITION OF UNDERLYING SPATIAL AND TEMPORAL TRENDS, INCLUDING CLUSTERING OF WELLS TO SYSTEM STRESSES (E.G. RECHARGE AND EXTRACTION)

12 RECHARGE BASIN RESPONSE CLUSTER MEMBERSHIP SHOWN AT LEFT TIGHTLY-SPACED CLUSTER NEAR BASINS RECHARGE RESPONSE LEVELS OFF 12

13 THOUGHTS ON HCM TESTING TEST AGAINST THE DATA YOU HAVE ENABLES A CHECK ON WHETHER THE DATA CONSTRAIN THE FUNDAMENTAL RELATIONSHIPS OF WATER MOVEMENT IN THE HCM INFORMATION ABOUT THE HYDROSTRATIGRAPHY MAY OR MAY NOT BE VALIDATED BY LTM DATA IDENTIFY ESSENTIAL DATA GAPS COLLECT ADDITIONAL DATA TO FILL DATA GAPS DO THOSE DATA CONFIRM, REFUTE OR INFORM THE HCM? NUMERICAL MODELING

14 HCM IN NUMERIC FORM Model Framework Visualization from Groundwater Desktop

15 AQUIFER UNIT WATER STORAGE ESTIMATES DATA ARE NEEDED TO CONSTRAIN ESTIMATES Unconfined Specific Yield ~ 1% to 20% Confined Unit(s) Storage ~0.01% to 0.1%

16 HYDROGEOLOGIC CONCEPTUAL MODEL CONFINED ZONE PUMPING RESPONSE Aquifer Flexing Aquifer Flexing

17 HCM(S) AND THE SGMA AN HCM THAT INCORPORATES THE FACTORS AND PHYSICS ENABLES A BETTER UNDERSTANDING OF OUTCOMES OUTCOMES IN THE DATA ARE AT THE CORE OF THE SGMA AND UNDERSTANDING THE SIGNIFICANCE OF THOSE

18 MEASURED GROUNDWATER HEADS IN NESTED WELLS Not to Scale

19 HCM(S) AND SGMA SGMA IS ABOUT PROJECTED OUTCOMES AND ACTUAL OUTCOMES WELL ESTABLISHED HCMS ARE NEEDED THAT ACCOUNT FOR SYSTEM DYNAMICS TO UNDERSTAND CURRENT DATA AND TO PROJECT FUTURE OUTCOMES DISCUSSION AND DIALOGUE ON BEST WAYS TO DEVELOP AND CONFIRM HCM(S)

20 QUESTIONS? (209)

Understanding Complex Models using Visualization: San Bernardino Valley Ground-water Basin, Southern California

Understanding Complex Models using Visualization: San Bernardino Valley Ground-water Basin, Southern California Zhen Li and Wesley R. Danskin U.S. Geological Survey, zhenli@usgs.gov, wdanskin@usgs.gov,