Name: SRBC Groundwater Recharge Potential
Display Field:
Type: Raster Layer
Geometry Type: null
Description: Different geologic materials, structures, and land uses all influence the rate in which water can recharge underlying aquifers. This dataset combines factors influencing recharge through standardization and weighting assignments using the Multi-Criteria Decision Analysis (MCDA)-GIS framework to identify land-surface areas that have the potential to provide a large fraction of recharge. Percent impervious cover, land surface slope, percent sand and clay, depth to bedrock, drainage density, karst density, and fault density are used to describe recharge potential within the Susquehanna River Basin (basin). Many of these data layers are used to predict baseflow via regional regression equations in ungaged locations throughout the Mid-Atlantic region; baseflow is often used as an approximation of recharge. Input criteria were prioritized using the Analytic Hierarchy Process (AHP), which is an additive weighting model that can be combined with MCDA. Three general “first-level factors” were identified based on three primary zones of infiltration or recharge; those include the land surface, shallow-subsurface (soil) geology, and structural/bedrock geology. Weighting assignments of input datasets are presented in the table below.WeightFirst-Level FactorsWeightSecond-Level Factors40Land Cover / Terrain25Percent Impervious15Land Surface Slope20Shallow-Subsurface Geology15Percent Sand2.5Percent Clay2.5Depth to Bedrock40Structural / Bedrock Geology25Drainage Density10Karst Density5Fault DensityRecharge potential is described as an index from 100-500, with 100 illustrating areas of least recharge potential and 500 illustrating areas of highest recharge potential. This dataset can be extracted and reclassified in user defined areas for local assessments using the quantile classification scheme.Reclassification of input datasets, and dataset sources are described in the "Lineage" section of the metadata.
Copyright Text: Pierre MaCoy, P.G. and Graham Markowitz, P.G., 2023.Identifying Optimal Groundwater Recharge Locations and Critical Aquifer Recharge Areas within the Susquehanna River Basin. Susquehanna River Basin Commission. 4423 North Front Street. Harrisburg, PA 17110.
Default Visibility: false
MaxRecordCount: 0
Supported Query Formats: JSON, geoJSON, PBF
Min Scale: 0
Max Scale: 0
Supports Advanced Queries: false
Supports Statistics: false
Has Labels: false
Can Modify Layer: false
Can Scale Symbols: false
Use Standardized Queries: true
Supports Datum Transformation: true
Extent:
XMin: -78.98283295216683
YMin: 39.524843801673356
XMax: -74.56181383593656
YMax: 43.0009113787775
Spatial Reference: 4269
(4269)
Drawing Info:
Advanced Query Capabilities:
Supports Statistics: false
Supports OrderBy: false
Supports Distinct: false
Supports Pagination: false
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: false
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
HasZ: false
HasM: false
Has Attachments: false
HTML Popup Type: esriServerHTMLPopupTypeNone
Type ID Field: null
Fields:
None
Supported Operations:
Query
Query Attachments
Query Analytic
Generate Renderer
Return Updates
Iteminfo
Thumbnail
Metadata