28 research outputs found
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Lateral cavities in streams : flow structure and mean residence times from channel hydraulics, morphology, and computational fluid dynamics
Surface transient storage (STS) and hyporheic transient storage (HTS) have functional significance in stream ecology and hydrology. Both provide refugia for aquatic communities and their longer mean residence times (compared to the main flow) increase the potential for biogeochemical reactions that can improve water quality. As STS and HTS have different storage and mass exchange mechanisms, hydrologists have proposed quantitatively separating STS from HTS to better predict solute fate and transport in streams. In addition, more accurate estimates of mass exchange parameters, such as mean residence times, are needed for STS and HTS. At present, effective solute transport parameters are estimated either from empirical relationships or by parameterizing effective transport metrics in solute transport models, resulting in empirical and non-transferrable parameters and an approximate equifinality in optimized numerical solutions. Through the development of relationships using field-measureable hydraulic and morphologic parameters, transient storage mass exchange parameters can be better constrained in solute transport models. To develop mass exchange relationships for transient storage, this dissertation focuses on the study of a prevalent and widely-recognized type of STS termed lateral cavities. Lateral cavities have flow fields characterized by a recirculation region comprised of one or more gyres and a shear layer that spans the entire entrance.
The goals of this dissertation are: (1) to develop a classification scheme that categorizes different types of STS in fluvial systems in order to quantitatively separate STS from HTS; and (2) to develop accurate estimates of mass exchange parameters (i.e., mean residence times) for lateral cavities in order to better understand and quantify solute transport and dispersion in fluvial systems.
There are six major contributions of this work to the hydrology community. First, to quantitatively separate STS from HTS, a fluid-mechanics-based classification scheme is presented that identifies and categorizes different types of STS based on their characteristic mean flow structure. The classification scheme will allow for the systematic study of different STS types and development of predictive mean residence time relationships. Second, the best estimate of lateral cavity mean residence time, which represents the mean residence time of the primary gyre, is the first characteristic time of exponential decay. Third, a cavity shape factor—ratio of the square root of cavity width and depth to the cavity length—represents the degree of cavity equidimensionality and best quantifies the effect of cavity shape on mean residence time. Fourth, two roughness factors have good correlations with normalized mean residence time when computed using the median grain diameter of sediments measured in the shear layer: ratio of median grain diameter to channel depth and ratio of shear velocity to mean channel velocity. Fifth, mean residence time relationships are derived for lateral cavities in open channel flows with hydraulically smooth beds and for lateral cavities in gravel-bed rivers and streams. The mean residence time relationships are applicable for lateral cavities over a range of geometry, shape, roughness, and flow conditions. Sixth, cavity configuration (e.g., series or parallel) has a greater influence on breakthrough curve shape and transport parameters than the number of lateral cavities present. Therefore, the configuration and interaction of transient storage zones must be considered to accurately quantify stream solute transport and is a missing component in current solute transport theory
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Effect of multiple lateral cavities on stream solute transport under non-Fickian conditions and at the Fickian asymptote
In field studies of solute transport, transient storage within lateral cavities and other stream features generates
breakthrough curves (BTCs) with pronounced and persistent skewness. Current solute transport
theory requires that the coefficient of skewness (CSK) decrease over time because the system eventually
reaches Fickian conditions. However, published data show that CSK is constant in time. To aid development
of solute transport theory that explains field observations, we quantify the effect of lateral cavities
on solute transport under non-Fickian and Fickian conditions. Six hydrodynamics models were developed:
one with no lateral cavities, three with lateral cavities in series, and two with lateral cavities in parallel.
Results reveal that lateral cavities in series have longer tails and smaller peak concentrations
compared to lateral cavities in parallel. Lateral cavities in series cause greater dispersion and require larger
distances to reach Fickian conditions (x[subscript Fick]) compared to lateral cavities in parallel. Cavity configuration
has a greater influence on longitudinal dispersion and x[subscript Fick] than the number of cavities present. CSK
changes with monitoring location and maximum CSK (= 10–20) near lateral cavities is higher than empirical
estimates (≈1.18). We postulate that adding more transient storage zones would increase channel
complexity and yield closer results between simulated and empirical CSK, and testing this hypothesis
warrants future research. Finally, while current models can obtain good fits to measured BTCs by parameterizing
mass exchange rates and volume ratios, these parameters do not adequately describe the fundamental
fluid mechanics driving exchange.Keywords: Lateral cavity, Stream solute transport, Mean residence time, Transient storage, Non-Fickian transpor
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A mean residence time relationship for lateral cavities in gravel-bed rivers and streams: Incorporating streambed roughness and cavity shape
Accurate estimates of mass-exchange parameters in transient storage zones are needed to better understand and quantify solute transport and dispersion in riverine systems. Currently, the predictive mean residence time relies on an empirical entrainment coefficient with a range in variance due to the absence of hydraulic and geomorphic quantities driving mass exchange. Two empirically derived relationships are presented for the mean residence time of lateral cavities-a prevalent and widely recognized type of transient storage-in gravel-bed rivers and streams that incorporates hydraulic and geomorphic parameters. The relationships are applicable for gravel-bed rivers and streams with a range of cavity width to length (W/L) aspect ratios (0.2-0.75), shape, and Reynolds numbers (Re, ranging from 1.0 x 10(4) to 1.0 x 10(7)). The relationships equate normalized mean residence time to nondimensional quantities: Froude number, Re, W/L, depth ratio (ratio of cavity to shear layer depth), roughness factor (ratio of shear to channel velocity), and shape factor (representing degree of cavity equidimensionality). One relationship excludes bed roughness (equation (13)) and the other includes bed roughness (equation (14)). The empirically derived relationships have been verified for conservative tracers (R-2 of 0.83) within a range of flow and geometry conditions. Topics warranting future research are testing the empirical relationship that includes the roughness factor using parameters measured in the vicinity of the cavity to reduce the variance in the correlation, and further development of the relationship for nonconservative transport.This is the publisher’s final pdf. The published article is copyrighted by the American Geophysical Union and can be found at: http://www.agu.org/journals/wr/.Keywords: transport, Rectangular cavity, Dead zone, Groyne fields, Flow, Groundwater, Transient storage, Channel, Retention, Exchange processe
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Defining and measuring the mean residence time of lateral surface transient storage zones in small streams
Surface transient storage (STS) has functional significance in stream ecosystems because it increases solute interaction with sediments. After volume, mean residence time is the most important metric of STS, but it is unclear how this can be measured accurately or related to other timescales and field-measureable parameters. We studied mean residence time of lateral STS in small streams over Reynolds numbers (Re) 5000–200,000 and STS width to length (W/L) aspect ratios between 0.2–0.75. Lateral STS have flow fields characterized by a shear layer spanning the length of the STS entrance, and one primary gyre and one or more secondary gyre(s) in the STS. The study's purpose was to define, measure, and compare residence timescales: volume to discharge ratio (Langmuir timescale); area under normalized concentration curve; and characteristic time of exponential decay, and to compare these timescales to field measureable parameters. The best estimate of STS mean residence time—primary gyre residence time—was determined to be the first characteristic time of exponential decay. An apparent mean residence time can arise, which is considerably larger than other timescales, if probes are placed within secondary gyre(s). The Langmuir timescale is the minimum mean residence time, and is linearly correlated to channel velocity and STS width. The lateral STS mean residence time can be predicted using a physically based hydromorphic timescale derived by Uijttewaal et al. (2001) with an entrainment coefficient of 0.031 ± 0.009 for the Re and W/L studied
Characteristics and Outcomes of US Children and Adolescents With Multisystem Inflammatory Syndrome in Children (MIS-C) Compared With Severe Acute COVID-19
Importance Refinement of criteria for multisystem inflammatory syndrome in children (MIS-C) may inform efforts to improve health outcomes.
Objective To compare clinical characteristics and outcomes of children and adolescents with MIS-C vs those with severe coronavirus disease 2019 (COVID-19).
Setting, Design, and Participants Case series of 1116 patients aged younger than 21 years hospitalized between March 15 and October 31, 2020, at 66 US hospitals in 31 states. Final date of follow-up was January 5, 2021. Patients with MIS-C had fever, inflammation, multisystem involvement, and positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase–polymerase chain reaction (RT-PCR) or antibody test results or recent exposure with no alternate diagnosis. Patients with COVID-19 had positive RT-PCR test results and severe organ system involvement.
Exposure SARS-CoV-2.
Main Outcomes and Measures Presenting symptoms, organ system complications, laboratory biomarkers, interventions, and clinical outcomes. Multivariable regression was used to compute adjusted risk ratios (aRRs) of factors associated with MIS-C vs COVID-19.
Results Of 1116 patients (median age, 9.7 years; 45% female), 539 (48%) were diagnosed with MIS-C and 577 (52%) with COVID-19. Compared with patients with COVID-19, patients with MIS-C were more likely to be 6 to 12 years old (40.8% vs 19.4%; absolute risk difference [RD], 21.4% [95% CI, 16.1%-26.7%]; aRR, 1.51 [95% CI, 1.33-1.72] vs 0-5 years) and non-Hispanic Black (32.3% vs 21.5%; RD, 10.8% [95% CI, 5.6%-16.0%]; aRR, 1.43 [95% CI, 1.17-1.76] vs White). Compared with patients with COVID-19, patients with MIS-C were more likely to have cardiorespiratory involvement (56.0% vs 8.8%; RD, 47.2% [95% CI, 42.4%-52.0%]; aRR, 2.99 [95% CI, 2.55-3.50] vs respiratory involvement), cardiovascular without respiratory involvement (10.6% vs 2.9%; RD, 7.7% [95% CI, 4.7%-10.6%]; aRR, 2.49 [95% CI, 2.05-3.02] vs respiratory involvement), and mucocutaneous without cardiorespiratory involvement (7.1% vs 2.3%; RD, 4.8% [95% CI, 2.3%-7.3%]; aRR, 2.29 [95% CI, 1.84-2.85] vs respiratory involvement). Patients with MIS-C had higher neutrophil to lymphocyte ratio (median, 6.4 vs 2.7, P < .001), higher C-reactive protein level (median, 152 mg/L vs 33 mg/L; P < .001), and lower platelet count (<150 ×103 cells/μL [212/523 {41%} vs 84/486 {17%}, P < .001]). A total of 398 patients (73.8%) with MIS-C and 253 (43.8%) with COVID-19 were admitted to the intensive care unit, and 10 (1.9%) with MIS-C and 8 (1.4%) with COVID-19 died during hospitalization. Among patients with MIS-C with reduced left ventricular systolic function (172/503, 34.2%) and coronary artery aneurysm (57/424, 13.4%), an estimated 91.0% (95% CI, 86.0%-94.7%) and 79.1% (95% CI, 67.1%-89.1%), respectively, normalized within 30 days.
Conclusions and Relevance This case series of patients with MIS-C and with COVID-19 identified patterns of clinical presentation and organ system involvement. These patterns may help differentiate between MIS-C and COVID-19
Finishing the euchromatic sequence of the human genome
The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead
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JacksonTracieR2014.pdf
Surface transient storage (STS) and hyporheic transient storage (HTS) have
functional significance in stream ecology and hydrology. Both provide refugia for aquatic
communities and their longer mean residence times (compared to the main flow) increase
the potential for biogeochemical reactions that can improve water quality. As STS and
HTS have different storage and mass exchange mechanisms, hydrologists have proposed
quantitatively separating STS from HTS to better predict solute fate and transport in
streams. In addition, more accurate estimates of mass exchange parameters, such as mean residence times, are needed for STS and HTS. At present, effective solute transport
parameters are estimated either from empirical relationships or by parameterizing
effective transport metrics in solute transport models, resulting in empirical and nontransferrable parameters and an approximate equifinality in optimized numerical
solutions. Through the development of relationships using field-measureable hydraulic
and morphologic parameters, transient storage mass exchange parameters can be better
constrained in solute transport models. To develop mass exchange relationships for
transient storage, this dissertation focuses on the study of a prevalent and widelyrecognized
type of STS termed lateral cavities. Lateral cavities have flow fields characterized by a recirculation region comprised of one or more gyres and a shear layer that spans the entire entrance.
The goals of this dissertation are: (1) to develop a classification scheme that
categorizes different types of STS in fluvial systems in order to quantitatively separate
STS from HTS; and (2) to develop accurate estimates of mass exchange parameters (i.e.,
mean residence times) for lateral cavities in order to better understand and quantify solute
transport and dispersion in fluvial systems.
There are six major contributions of this work to the hydrology community. First,
to quantitatively separate STS from HTS, a fluid-mechanics-based classification scheme
is presented that identifies and categorizes different types of STS based on their
characteristic mean flow structure. The classification scheme will allow for the
systematic study of different STS types and development of predictive mean residence
time relationships. Second, the best estimate of lateral cavity mean residence time, which
represents the mean residence time of the primary gyre, is the first characteristic time of
exponential decay. Third, a cavity shape factor--ratio of the square root of cavity width
and depth to the cavity length--represents the degree of cavity equidimensionality and
best quantifies the effect of cavity shape on mean residence time. Fourth, two roughness
factors have good correlations with normalized mean residence time when computed
using the median grain diameter of sediments measured in the shear layer: ratio of
median grain diameter to channel depth and ratio of shear velocity to mean channel
velocity. Fifth, mean residence time relationships are derived for lateral cavities in open
channel flows with hydraulically smooth beds and for lateral cavities in gravel-bed rivers
and streams. The mean residence time relationships are applicable for lateral cavities over
a range of geometry, shape, roughness, and flow conditions. Sixth, cavity configuration
(e.g., series or parallel) has a greater influence on breakthrough curve shape and transport
parameters than the number of lateral cavities present. Therefore, the configuration and
interaction of transient storage zones must be considered to accurately quantify stream
solute transport and is a missing component in current solute transport theory
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MicroADV.xlsx
Surface transient storage (STS) and hyporheic transient storage (HTS) have
functional significance in stream ecology and hydrology. Both provide refugia for aquatic
communities and their longer mean residence times (compared to the main flow) increase
the potential for biogeochemical reactions that can improve water quality. As STS and
HTS have different storage and mass exchange mechanisms, hydrologists have proposed
quantitatively separating STS from HTS to better predict solute fate and transport in
streams. In addition, more accurate estimates of mass exchange parameters, such as mean residence times, are needed for STS and HTS. At present, effective solute transport
parameters are estimated either from empirical relationships or by parameterizing
effective transport metrics in solute transport models, resulting in empirical and nontransferrable parameters and an approximate equifinality in optimized numerical
solutions. Through the development of relationships using field-measureable hydraulic
and morphologic parameters, transient storage mass exchange parameters can be better
constrained in solute transport models. To develop mass exchange relationships for
transient storage, this dissertation focuses on the study of a prevalent and widelyrecognized
type of STS termed lateral cavities. Lateral cavities have flow fields characterized by a recirculation region comprised of one or more gyres and a shear layer that spans the entire entrance.
The goals of this dissertation are: (1) to develop a classification scheme that
categorizes different types of STS in fluvial systems in order to quantitatively separate
STS from HTS; and (2) to develop accurate estimates of mass exchange parameters (i.e.,
mean residence times) for lateral cavities in order to better understand and quantify solute
transport and dispersion in fluvial systems.
There are six major contributions of this work to the hydrology community. First,
to quantitatively separate STS from HTS, a fluid-mechanics-based classification scheme
is presented that identifies and categorizes different types of STS based on their
characteristic mean flow structure. The classification scheme will allow for the
systematic study of different STS types and development of predictive mean residence
time relationships. Second, the best estimate of lateral cavity mean residence time, which
represents the mean residence time of the primary gyre, is the first characteristic time of
exponential decay. Third, a cavity shape factor--ratio of the square root of cavity width
and depth to the cavity length--represents the degree of cavity equidimensionality and
best quantifies the effect of cavity shape on mean residence time. Fourth, two roughness
factors have good correlations with normalized mean residence time when computed
using the median grain diameter of sediments measured in the shear layer: ratio of
median grain diameter to channel depth and ratio of shear velocity to mean channel
velocity. Fifth, mean residence time relationships are derived for lateral cavities in open
channel flows with hydraulically smooth beds and for lateral cavities in gravel-bed rivers
and streams. The mean residence time relationships are applicable for lateral cavities over
a range of geometry, shape, roughness, and flow conditions. Sixth, cavity configuration
(e.g., series or parallel) has a greater influence on breakthrough curve shape and transport
parameters than the number of lateral cavities present. Therefore, the configuration and
interaction of transient storage zones must be considered to accurately quantify stream
solute transport and is a missing component in current solute transport theory
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Bathymetry.xls
Surface transient storage (STS) and hyporheic transient storage (HTS) have
functional significance in stream ecology and hydrology. Both provide refugia for aquatic
communities and their longer mean residence times (compared to the main flow) increase
the potential for biogeochemical reactions that can improve water quality. As STS and
HTS have different storage and mass exchange mechanisms, hydrologists have proposed
quantitatively separating STS from HTS to better predict solute fate and transport in
streams. In addition, more accurate estimates of mass exchange parameters, such as mean residence times, are needed for STS and HTS. At present, effective solute transport
parameters are estimated either from empirical relationships or by parameterizing
effective transport metrics in solute transport models, resulting in empirical and nontransferrable parameters and an approximate equifinality in optimized numerical
solutions. Through the development of relationships using field-measureable hydraulic
and morphologic parameters, transient storage mass exchange parameters can be better
constrained in solute transport models. To develop mass exchange relationships for
transient storage, this dissertation focuses on the study of a prevalent and widelyrecognized
type of STS termed lateral cavities. Lateral cavities have flow fields characterized by a recirculation region comprised of one or more gyres and a shear layer that spans the entire entrance.
The goals of this dissertation are: (1) to develop a classification scheme that
categorizes different types of STS in fluvial systems in order to quantitatively separate
STS from HTS; and (2) to develop accurate estimates of mass exchange parameters (i.e.,
mean residence times) for lateral cavities in order to better understand and quantify solute
transport and dispersion in fluvial systems.
There are six major contributions of this work to the hydrology community. First,
to quantitatively separate STS from HTS, a fluid-mechanics-based classification scheme
is presented that identifies and categorizes different types of STS based on their
characteristic mean flow structure. The classification scheme will allow for the
systematic study of different STS types and development of predictive mean residence
time relationships. Second, the best estimate of lateral cavity mean residence time, which
represents the mean residence time of the primary gyre, is the first characteristic time of
exponential decay. Third, a cavity shape factor--ratio of the square root of cavity width
and depth to the cavity length--represents the degree of cavity equidimensionality and
best quantifies the effect of cavity shape on mean residence time. Fourth, two roughness
factors have good correlations with normalized mean residence time when computed
using the median grain diameter of sediments measured in the shear layer: ratio of
median grain diameter to channel depth and ratio of shear velocity to mean channel
velocity. Fifth, mean residence time relationships are derived for lateral cavities in open
channel flows with hydraulically smooth beds and for lateral cavities in gravel-bed rivers
and streams. The mean residence time relationships are applicable for lateral cavities over
a range of geometry, shape, roughness, and flow conditions. Sixth, cavity configuration
(e.g., series or parallel) has a greater influence on breakthrough curve shape and transport
parameters than the number of lateral cavities present. Therefore, the configuration and
interaction of transient storage zones must be considered to accurately quantify stream
solute transport and is a missing component in current solute transport theory
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Velocity Profiles and Discharge.xlsx
Surface transient storage (STS) and hyporheic transient storage (HTS) have
functional significance in stream ecology and hydrology. Both provide refugia for aquatic
communities and their longer mean residence times (compared to the main flow) increase
the potential for biogeochemical reactions that can improve water quality. As STS and
HTS have different storage and mass exchange mechanisms, hydrologists have proposed
quantitatively separating STS from HTS to better predict solute fate and transport in
streams. In addition, more accurate estimates of mass exchange parameters, such as mean residence times, are needed for STS and HTS. At present, effective solute transport
parameters are estimated either from empirical relationships or by parameterizing
effective transport metrics in solute transport models, resulting in empirical and nontransferrable parameters and an approximate equifinality in optimized numerical
solutions. Through the development of relationships using field-measureable hydraulic
and morphologic parameters, transient storage mass exchange parameters can be better
constrained in solute transport models. To develop mass exchange relationships for
transient storage, this dissertation focuses on the study of a prevalent and widelyrecognized
type of STS termed lateral cavities. Lateral cavities have flow fields characterized by a recirculation region comprised of one or more gyres and a shear layer that spans the entire entrance.
The goals of this dissertation are: (1) to develop a classification scheme that
categorizes different types of STS in fluvial systems in order to quantitatively separate
STS from HTS; and (2) to develop accurate estimates of mass exchange parameters (i.e.,
mean residence times) for lateral cavities in order to better understand and quantify solute
transport and dispersion in fluvial systems.
There are six major contributions of this work to the hydrology community. First,
to quantitatively separate STS from HTS, a fluid-mechanics-based classification scheme
is presented that identifies and categorizes different types of STS based on their
characteristic mean flow structure. The classification scheme will allow for the
systematic study of different STS types and development of predictive mean residence
time relationships. Second, the best estimate of lateral cavity mean residence time, which
represents the mean residence time of the primary gyre, is the first characteristic time of
exponential decay. Third, a cavity shape factor--ratio of the square root of cavity width
and depth to the cavity length--represents the degree of cavity equidimensionality and
best quantifies the effect of cavity shape on mean residence time. Fourth, two roughness
factors have good correlations with normalized mean residence time when computed
using the median grain diameter of sediments measured in the shear layer: ratio of
median grain diameter to channel depth and ratio of shear velocity to mean channel
velocity. Fifth, mean residence time relationships are derived for lateral cavities in open
channel flows with hydraulically smooth beds and for lateral cavities in gravel-bed rivers
and streams. The mean residence time relationships are applicable for lateral cavities over
a range of geometry, shape, roughness, and flow conditions. Sixth, cavity configuration
(e.g., series or parallel) has a greater influence on breakthrough curve shape and transport
parameters than the number of lateral cavities present. Therefore, the configuration and
interaction of transient storage zones must be considered to accurately quantify stream
solute transport and is a missing component in current solute transport theory