Dataset Identification:
Resource Abstract:
- description: The excel file contains time series data of flow rates, concentrations of alachlor , atrazine, ammonia, total
phosphorus, and total suspended solids observed in two watersheds in Indiana from 2002 to 2007. The aggregate time series
data corresponding or representative to all these parameters was obtained using a specialized, data-driven technique. The
aggregate data is hypothesized in the published paper to represent the overall health of both watersheds with respect to various
potential water quality impairments. The time series data for each of the individual water quality parameters were used to
compute corresponding risk measures (Rel, Res, and Vul) that are reported in Table 4 and 5. The aggregation of the risk measures,
which is computed from the aggregate time series and water quality standards in Table 1, is also reported in Table 4 and 5
of the published paper. Values under column heading "uncertainty" reports uncertainties associated with reconstruction
of missing records of the water quality parameters. Long-term records of the water quality parameters were reconstructed in
order to estimate the (R-R-V) and corresponding aggregate risk measures. This dataset is associated with the following publication:
Hoque, Y., S. Tripathi, M. Hantush , and R. Govindaraju. Aggregate Measures of Watershed Health from Reconstructed Water Quality
Data with Uncertainty. Ed Gregorich JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 45(2):
709-719, (2016).; abstract: The excel file contains time series data of flow rates, concentrations of alachlor , atrazine,
ammonia, total phosphorus, and total suspended solids observed in two watersheds in Indiana from 2002 to 2007. The aggregate
time series data corresponding or representative to all these parameters was obtained using a specialized, data-driven technique.
The aggregate data is hypothesized in the published paper to represent the overall health of both watersheds with respect
to various potential water quality impairments. The time series data for each of the individual water quality parameters were
used to compute corresponding risk measures (Rel, Res, and Vul) that are reported in Table 4 and 5. The aggregation of the
risk measures, which is computed from the aggregate time series and water quality standards in Table 1, is also reported in
Table 4 and 5 of the published paper. Values under column heading "uncertainty" reports uncertainties associated
with reconstruction of missing records of the water quality parameters. Long-term records of the water quality parameters
were reconstructed in order to estimate the (R-R-V) and corresponding aggregate risk measures. This dataset is associated
with the following publication: Hoque, Y., S. Tripathi, M. Hantush , and R. Govindaraju. Aggregate Measures of Watershed Health
from Reconstructed Water Quality Data with Uncertainty. Ed Gregorich JOURNAL OF ENVIRONMENTAL QUALITY. American Society of
Agronomy, MADISON, WI, USA, 45(2): 709-719, (2016).
Citation
- Title Water Quality Time Series, Aggregate values, and Related Aggregate Risk Measures.
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- creation Date
2017-06-18T15:53:48.738951
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Metadata data stamp:
2018-08-06T21:53:21Z
Resource Maintenance Information
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- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T21:53:21Z
Metadata contact
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pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
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- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:b246de6e-8f30-4e0f-9154-829739bae2cb
Metadata record format is ISO19139 XML (MD_Metadata)