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Revised risk-based indices and proposed new composite watershed health measure and application thereof to the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River BasinSource

The dataset includes names and geographic coordinates of gauge stations where flow and water quality (sediment, nitrogen, phosphorus) are measured in the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River Basins. The data include estimates of risk indices (reliability, resilience, vulnerability) and a composite watershed health measure at gauge the stations, distributional properties of the indices, sensitivity to water quality standards, scale dependency of the indices, and statistical significance of the relationship between composite watershed health measure and land uses (agricultural, forested, and urban). This dataset is associated with the following publication: Ganeshchandra Mallya , G., M. Hantush, and R. Govindaraju. Composite measures of watershed health from a water quality perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 214: 104-124, (2018).

0
No licence known
Tags:
composite watershed healthmaummee river basinnitrogenohio river basinphosphorusreliabilityresilianceresiliencerisk assessmentscalingsedimentstream networksstream ordertrend analysisupper mississippi river watershedvulnerabilitywater qualitywater quality standardwatershed health water quality
Formats:
XLSX
United State Environmental Protection Agencyabout 1 year ago
Scaling of bubble growth in a porous medium

Processes involving liquid-to-gas phase change in porous media are routinely encountered. Growth of a gas phase by solute diffusion in the liquid is typical of the `solution gas-drive` process for the recovery of oil. The growth of a single gas cluster in a porous medium driven by a constant supersaturation is examined. Patterns and rates of growth are derived. It is shown that the growth pattern is not compact and changes from pure percolation to pure Diffusion-Limited-Aggregation (DLA) as the size of the cluster increases. The scaling of the cluster sizes that delineate these patterns, with supersaturation and diffusivity is presented for the case of quasi-static diffusion. In 3-D, the diffusive growth law is found to be R{sub g} {approximately} t{sup 2/3}, which is different than the classical R{sub g} {approximately} t{sup 1/2}.

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No licence known
Tags:
Geologybubblegrowthinmediumporousscaling
Formats:
PDF
National Energy Technology Laboratory (NETL)about 1 year ago