Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey.
Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey.
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DOI:
10.1016/j.watres.2009.01.034
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发表时间:
2009-04
期刊:
影响因子:
12.8
通讯作者:
Serre, Marc L.
中科院分区:
文献类型:
--
作者:
Money, Eric;Carter, Gail P.;Serre, Marc L.
Understanding surface water quality is a critical step towards protecting human health and ecological stability. Because of resource deficiencies and the large number of river miles needing assessment, there is a need for a methodology that can accurately depict river water quality where data do not exist. The objective of this research is to implement a methodology that incorporates a river metric into the space/time analysis of dissolved oxygen data for two impaired river basins. An efficient algorithm is developed to calculate river distances within the BMElib statistical package for space/time geostatistics. We find that using a river distance in a space/time context leads to an appreciable 10% reduction in the overall estimation error, and results in maps of DO that are more realistic than those obtained using a Euclidean distance. As a result river distance is used in the subsequent non-attainment assessment of DO for two impaired river basins in New Jersey.
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DOI:
10.1007/s11004-006-9033-0
发表时间:
2006-12-01
期刊:
MATHEMATICAL GEOLOGY
影响因子:
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作者:
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10.1007/bf00890661
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影响因子:
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作者:
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DOI:
10.1007/s11004-006-9055-7
发表时间:
2006-11-01
期刊:
MATHEMATICAL GEOLOGY
影响因子:
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作者:
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通讯作者:
Curriero, Frank C.