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

@article{Money09, abstract = {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.}, author = {Money, Eric and Carter, Gail P. and Serre, Marc L.}, citeulike-article-id = {5909650}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.watres.2009.01.034}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0043135409000554}, doi = {10.1016/j.watres.2009.01.034}, issn = {00431354}, journal = {Water Research}, keywords = {2009, geostatistics, non\_euclidean, spatiotemporal, tesis}, month = {April}, number = {7}, pages = {1948--1958}, posted-at = {2009-10-08 14:46:31}, priority = {2}, title = {Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey}, url = {http://dx.doi.org/10.1016/j.watres.2009.01.034}, volume = {43}, year = {2009} }

TY - JOUR ID - Money09 L3 - citeulike-article-id:5909650 N2 - 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. IS - 7 JF - Water Research SN - 00431354 EP - 1958 TI - Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey VL - 43 SP - 1948 KW - 2009 KW - geostatistics KW - non_euclidean KW - spatiotemporal KW - tesis AU - Money, Eric AU - Carter, Gail AU - Serre, Marc PY - 2009/04// UR - http://dx.doi.org/10.1016/j.watres.2009.01.034 ER -