Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey

WATER RESEARCH

卷:43

Article

Money, Eric¹  Carter, Gail P.²  Serre, Marc L.¹ 

[1] Univ N Carolina Chapel Hill, Sch Publ Hlth, Dept Environm Sci & Engn, Chapel Hill, NC 27599 USA

[2] New Jersey Dept Environm Protect, Div Sci Res & Technol, Trenton, NJ 08625 USA

关键词: Geostatistics;    Spatiotemporal;    River metric;    Dissolved oxygen;    Water quality;   

DOI  :  10.1016/j.watres.2009.01.034

来源: Elsevier

【 摘 要 】

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. (C) 2009 Elsevier Ltd. All rights reserved.

【 授权许可】

Free