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WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline AnalysesSource

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. There are also eight other separate DAMS submissions, one per source water, that include the model results for the published studies. In this data submission, all model inputs across the eight baselines are included. The data structure and content are described in a README.txt file. For more details on how to use the data in WaterTAP3 please refer to the model documentation and GitHub site found at "WaterTAP3 Github" linked in the submission resources.

0
No licence known
Tags:
LCOWNAWIWaterTAP3agriculturebaselinebrackishconstituent removaldesalinationenergyenergy intensityindustriallevelized cost of waterminingmodelmunicipalpowerproduced waterseawatertechno-economic analysistechno-economic modelingtreatment trainwater recovery
Formats:
TXTCSVHTML
National Renewable Energy Laboratory (NREL)about 1 year ago
WaterTAP3 Model Results for NAWI's Baseline AnalysesSource

Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.

0
No licence known
Tags:
Energy IntensityLCOWNAWIReverse OsmosisWater RecoveryWaterTAP3agriculturebaselinebrackishdesalinationenergyindustrialminingmodelmunicipalpowerproduced waterresultsseawatersensitivitiessensitivity analysistechno-economic analysis xtechno-economic modelingtreatment train xwater treatmentzero liquid discharge
Formats:
TXTZIPHTML
National Renewable Energy Laboratory (NREL)about 1 year ago
annual average model predicted concentrations without and with DMS chemistrySource

COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry COMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry GRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell Model: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq. This dataset is associated with the following publication: Gantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020).

0
No licence known
Tags:
dimethylsulfideemissionsseawatersulfatesulfur dioxide
Formats:
TAR
United State Environmental Protection Agencyabout 1 year ago