Simulations of the Long Island Aquifer System Response to Potential Changes in Future Hydrologic Conditions, Long Island, New York
October 25, 2024
This data release contains simulation results from fifteen transient, regional-scale numerical models of the Long Island aquifer system that predict aquifer conditions resulting from possible future changes in pumping and recharge stresses and sea level altitude. These models are based on the MODFLOW 6 numerical model that is documented in Walter and others (2024), which simulates historical water levels, streamflows, and the position of the saltwater interface in response to time-varying changes in pumping and recharge stresses for the period 1900-2019. The archive for that model is available online (Jahn and others, 2024).
Fifteen model-input data sets of possible future scenarios are used to simulate aquifer conditions at annual and seasonal time scales under a variety of recharge, pumping, and sea level rise (3, 6, and 9 feet) stresses. This data release contains descriptions of the fifteen model scenarios, the model input files, and software to allow the user to run the models for each of the fifteen scenarios. Detailed instructions on how to run the models are documented in ReadMe_Main.txt.
Fifteen model-input data sets of possible future scenarios are used to simulate aquifer conditions at annual and seasonal time scales under a variety of recharge, pumping, and sea level rise (3, 6, and 9 feet) stresses. This data release contains descriptions of the fifteen model scenarios, the model input files, and software to allow the user to run the models for each of the fifteen scenarios. Detailed instructions on how to run the models are documented in ReadMe_Main.txt.
Citation Information
Publication Year | 2024 |
---|---|
Title | Simulations of the Long Island Aquifer System Response to Potential Changes in Future Hydrologic Conditions, Long Island, New York |
DOI | 10.5066/P13OHFKP |
Authors | Banu N Bayraktar, Kalle L Jahn, Donald A Walter, John P Masterson, Sarken E Dressler, Jason Finkelstein, Jack Monti |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | New York Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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