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48 records · Page 3

AmeriFlux US-NYe NYSM - Ontario

This is the AmeriFlux version of the carbon flux data for the site US-NYe NYSM - Ontario. Site Description - Located in an orchard setting. It is in an open grassy area near vineyard/orchard, small pond to the south. Obstructions within 100m include orchard/vineyard, small pond. The soil type is loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYf NYSM - Burt

This is the AmeriFlux version of the carbon flux data for the site US-NYf NYSM - Burt. Site Description - Located in a vineyard/crop field setting. It is in an opening in a vineyard with a crop field to the north. Obstructions within 100m include vineyards. The soil type is Niagara silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYg NYSM - Chazy

This is the AmeriFlux version of the carbon flux data for the site US-NYg NYSM - Chazy. Site Description - Located in a crop field setting. It is small open area in an overgrown field. Obstructions within 100m include high vegetation. The soil type is Malone gravelly loam, very stony. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYh NYSM - Owego

This is the AmeriFlux version of the carbon flux data for the site US-NYh NYSM - Owego. Site Description - Located in a grassy field setting. It is surrounded by a flat, open field with some trees and a pond to the north. Obstructions within 100m include small trees, small pond, pavement. The soil type is Volusia channery silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYj NYSM - Queens

This is the AmeriFlux version of the carbon flux data for the site US-NYj NYSM - Queens. Site Description - Located in an urban setting. It is on a city rooftop. Obstructions within 100m include buildings, pavement. The soil type is N/A - Rooftop. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a NYC Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYk NYSM - Staten Island

This is the AmeriFlux version of the carbon flux data for the site US-NYk NYSM - Staten Island. Site Description - Located in an urban setting. It is on a rooftop. Obstructions within 100m include tall buildings. The soil type is N/A - Rooftop. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a NYC Profiler site and a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYl NYSM - Southold

This is the AmeriFlux version of the carbon flux data for the site US-NYl NYSM - Southold. Site Description - Located in a vineyard setting. It is a flat, open area surrounded by vineyards. Obstructions within 100m include vineyard, trees. The soil type is Haven loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYm NYSM - Belleville

This is the AmeriFlux version of the carbon flux data for the site US-NYm NYSM - Belleville. Site Description - Located in a grass/crop field setting. It is a in a flat, open field with high vegetation to the northeast, paved road to the east, and a small treeline to the north. Obstructions within 100m include trees, paved road, high crops. The soil type is Collamer silt loam, bedrock substratum. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYn NYSM - Brooklyn

This is the AmeriFlux version of the carbon flux data for the site US-NYn NYSM - Brooklyn. Site Description - Located in an urban setting. It is on a city rooftop. Obstructions within 100m include buildings, pavement. The soil type is N/A - Rooftop. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a NYC Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYo NYSM - Penn Yan

This is the AmeriFlux version of the carbon flux data for the site US-NYo NYSM - Penn Yan. Site Description - Located in a crop field setting. It is very flat and open, at the edge of a crop field. Obstructions within 100m include high crops. The soil type is Honeoye silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYp NYSM - Fredonia

This is the AmeriFlux version of the carbon flux data for the site US-NYp NYSM - Fredonia. Site Description - Located in a vineyard setting. It is in a small open area surrounded by vineyards. Obstructions within 100m include vineyards, trees. The soil type is Niagara silt loam, loamy substratum. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration

We perform a set of high-fidelity simulations of geochemical reactions within three-dimensional discrete fracture networks (DFN) and use various machine learning techniques to determine the primary factors controlling mineral dissolution. The DFN are partially filled with quartz that gradually dissolves until quasi-steady state conditions are reached. At this point, we measure the quartz remaining in each fracture within the domain as our primary quantity of interest. We observe that a primary sub-network of fractures exists, where the quartz has been fully dissolved out. This reduction in resistance to flow leads to increased flow channelization and reduced solute travel times. However, depending on the DFN topology and the rate of dissolution, we observe substantial variability in the volume of quartz remaining within fractures outside of the primary subnetwork. This variability indicates an interplay between the fracture network structure and geochemical reactions. We characterize the features controlling these processes by developing a machine learning framework to extract their relevant impact. Specifically, we use a combination of high-fidelity simulations with a graph-based approach to study geochemical reactive transport in a complex fracture network to determine the key features that control dissolution. We consider topological, geometric and hydrological features of the fracture network to predict the remaining quartz in quasi-steady state. We found that the dissolution reaction rate constant of quartz and the distance to the primary sub-network in the fracture network are the two most important features controlling the amount of quartz remaining. This study is a first step towards characterizing the parameters that control carbon mineralization using an approach with integrates computational physics and machine learning.

54 ENVIRONMENTAL SCIENCES↗