Filters: Tags: Stream water quality (X)
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This record documents the fields of datasets (which are contained in Microsoft Excel spreadsheets and MS Access databases) that describe upland, riparian, and stream ecosystems in the following areas: (1) Idaho - South Fork Salmon and East Fork South Fork Salmon River drainages following the 2000 Diamond Peak Fire, before and after the 2004 Parks-Eiguren Prescribed Fire, before and after the 2006 Williams and Fitsum Prescribed Fire, before and after the 2006 and 2007 South Fork Salmon Complexes, Krassel RD-Payette NF; (2) Montana â Bitterroot River following the 2000 Bitterroot Valley Fire Complex, Sula RD-Bitterroot NF; (3) Oregon - 2001 Quartz Fire, Applegate RD-Rogue NF; Grayback Mtn-Siskiyou NF; 2002 Biscuit...
This study addressed the potential ability to link landscape indices to stream water quality in a predominately agricultural landscape located in the Mississinewa River watershed, East-Central Indiana. A methodology for developing and analyzing landscape indices using a GIS and remotely sensed and geospatial data was applied to 30 Hydrologic Unit Code (HUC) 14-digit subwatersheds. Six indices, three representing natural area extent characteristics and three representing natural area disturbance characteristics were developed. The resulting indices were then tested to determine if they could be linked to water quality variables (Total Phosphorus, Nitrate, E.COLI, and macroinvertebrate [EPT/C] Ephemeroptera, Plecoptera,...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
GIS,
Indiana,
Landcover,
Landscapes,
Conclusions:When riparian vegetation is maintained in areas of intensive agriculture, suspended solids levels are generally lower due to reduced in-stream organic production. Sediment deposition in near stream areas and stream bank scour are also reduced when riparian vegetation is present.Thresholds/Learnings:
Categories: Publication;
Types: Citation;
Tags: Illinois,
Natural cover amount,
agriculture,
agriculture,
local (watershed),
This dataset includes a subset of previously released pesticide data (Morace and others, 2020) from the U.S. Geological Survey (USGS) National Water Quality Assessment Program (NAWQA) Regional Stream Quality Assessment (RSQA) project and the corresponding hazard index results calculated using the R package toxEval, which are relevant to Mahler and others, 2020. Pesticide and transformation products were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado. Files are grouped as pesticides (parent compounds), transformation products (degradate compounds), compounds with no Acute Invertebrate (AI) benchmarks, compounds with no Acute Non-Vascular Plant (ANVP) benchmarks, and compounds not evaluated...
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