Digital Hydrologic Networks Supporting Applications Related to Spatially Referenced Regression Modeling.
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Potential stream density in Mid-Atlantic US watershedsStream macroinvertebrate response models for bioassessment metrics: addressing the issue of spatial scale.Surface-Water Nutrient Conditions and Sources in the United States Pacific Northwest.A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions.A Multi-Agency Nutrient Dataset Used to Estimate Loads, Improve Monitoring Design, and Calibrate Regional Nutrient SPARROW Models.Source and Delivery of Nutrients to Receiving Waters in the Northeastern and Mid-Atlantic Regions of the United States.Sparrow Modeling to Understand Water-Quality Conditions in Major Regions of the United States: A Featured Collection IntroductionNutrient Inputs to the Laurentian Great Lakes by Source and Watershed Estimated Using SPARROW Watershed Models.Nutrient Sources and Transport in the Missouri River Basin, with Emphasis on the Effects of Irrigation and ReservoirsSources and Delivery of Nutrients to the Northwestern Gulf of Mexico from Streams in the South-Central United States.The Great Lakes Hydrography Dataset: Consistent, Binational Watersheds for the Laurentian Great Lakes BasinSources and Transport of Phosphorus to Rivers in California and Adjacent States, U.S., as Determined by SPARROW ModelingNear-term acceleration of hydroclimatic change in the western U.SHydrological evaluation of the Noah-MP land surface model for the Mississippi River Basin
P2860
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P2860
Digital Hydrologic Networks Supporting Applications Related to Spatially Referenced Regression Modeling.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@ast
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@en
type
label
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@ast
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@en
prefLabel
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@ast
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@en
P2093
P2860
P1476
Digital Hydrologic Networks Su ...... eferenced Regression Modeling.
@en
P2093
Jw Brakebill
Se Terziotti
P2860
P304
P356
10.1111/J.1752-1688.2011.00578.X
P577
2011-10-01T00:00:00Z