Results 1 - 10
of
1,302
Table 2. Summary of monitored watersheds.
2001
"... In PAGE 19: ... Maps of the study streams are shown in Appendix A. Table2 identifies the stream, watershed management area, location and types of data collected. Table 2.... In PAGE 28: ...iebert Creek was surveyed from RM 0.0 to RM 8.0 on the mainstem and for 0.3 miles on the West Fork Siebert Creek ( Table2 ). Segments 1 and 2 were surveyed in 1992, Segment 3 in 1994.... In PAGE 42: ...5 CW/pool), a high percentage of pool habitat (72%), and deep pools (38% of pools with a residual depth gt;1.0 m) ( Table2 0). Logjams and individual logs were the most common pool-forming factor, however beaver dams, bank projections, and self-formed pools were also important.... In PAGE 42: ... Twenty three percent of LWD was unstable. The riparian zone was young and dominated by deciduous species ( Table2 0). The 39% average canopy closure is mostly attributable to the small deciduous riparian forest and somewhat to the 13.... In PAGE 45: ... iii. Temperature Conditions by Segment The Tahuya River had consistently high temperatures, relative to the other three streams ( Table2 1). Sites 2a, 3a, and 4a exceeded State standards for about half the days sampled.... In PAGE 45: ...Table 21). Sites 2a, 3a, and 4a exceeded State standards for about half the days sampled. All sites exceeded the preferred temperature range, and four of the five sites exceeded it on all days sampled (Appendix G). Table2 1: Summary of temperature survey information for Tahuya and Dewatto River. Water temperature was sampled continuously during the sampling period.... In PAGE 46: ... Dewatto River i. Habitat conditions by segment Segment 2 and 3 had abundant riffles low percent pools (35 and 38%) in primarily a single thread channel ( Table2 0). Residual pool depths in segment 2 were shallow for a river of this size (57% lt; 0.... In PAGE 46: ...0). Cobble was the dominant substrate size, and percent fines were high at 20.5% on segment 2. Segment 5 and 6 had a high percentage of surface area in pools (82 and 80%, Table2 0). Sixty- seven and 73% of pools were greater than 0.... In PAGE 46: ...egments 2, 3, and 6. Large woody debris was at very low levels in segment 6. Most LWD was moderately decayed conifer in segment 5 and rotten-unknown or deciduous in segment 6 (Appendix B). Canopy closure was 40% for segment 6( Table2 0) reflecting a young, deciduous dominated riparian zone interspersed with wetlands. Beaver ponds were common in segment 6.... In PAGE 46: ... Segment 5 had a sand/gravel substrate, and segment 6 a gravel/sand substrate. Like segments 5 and 6, most of the channel surface area in segments 8 and 10 was also pools (81 and 77%, Table2 0). Pools were frequent for both segments, and mostly formed by LWD.... In PAGE 46: ... Temperature Conditions by Segment The Dewatto River exceeded State AA standards (16.30C) for portions of only a handful of days ( Table2... In PAGE 56: ... Deep pools and percent pools are rated as good. Large woody debris volumes are certainly lower than historical conditions and key piece density is poor ( Table2 2). Most pools are formed by LWD; habitat conditions and bed stability would benefit with increased volumes of LWD.... In PAGE 56: ...989-1995). Recruitment potential from the riparian forest and water temperature is poor. The channel is aggraded and widened in several areas throughout the survey reach, reducing the shade provided by streamside trees. In addition the riparian forest is young (trees are not at their mature height) and composed of a mixture of conifer and deciduous trees ( Table2 0). Large woody debris recruitment potential was rated poor, with LWD volumes decreasing over the next 50 years until the forest matures (Table 22).... In PAGE 56: ... In addition the riparian forest is young (trees are not at their mature height) and composed of a mixture of conifer and deciduous trees (Table 20). Large woody debris recruitment potential was rated poor, with LWD volumes decreasing over the next 50 years until the forest matures ( Table2 2). The Tahuya consistently exceeded the preferred rearing salmonid temperature range (Tables 8 and 21).... ..."
Table 2 Summary of the stream and watershed characteristics
"... In PAGE 7: ...7 analysis based on the following criteria: (1) the entire watershed is contained within the study area; (2) the drainage area is less than 300 km2; (3) there are more than 20 years of flow records; and (4) the gauges are not affected by hydraulic constraints (dams, reservoirs, etc) that were officially stated in the gauge report. Table 1 summarizes the twenty flow gauges selected for this study and Table2 summarizes selected characteristics of the streams and watersheds above these gauges. These watersheds drain 1616 km2 and range in size from 4.... In PAGE 15: ...7% among the 20 watersheds examined in this paper. Thirteen of the 20 watersheds listed in Table2 are relatively pristine as evidenced by percent impervious surface values of less than 5%. Three watersheds (#14, #34, and #31) have experienced moderate development (e.... In PAGE 15: ...mperviousness values of 45.0%, 15.3 %, and 6.6% respectively ( Table2 ). The four remaining watersheds (#15, #25, #27, and #28) are dominated by residential, commercial, and transportation land uses and percent impervious surface values are greater than 50%.... In PAGE 18: ...ainfall events than non-urban (e.g. forested) land surfaces. The high values reported for these mountainous watersheds occurred in landscape with bare rock surfaces (Jennings 1977), steep slopes ( Table2... ..."
Table 2. GIS-derived watershed attributes Attribute Unit Description
"... In PAGE 6: ...Coastal fan destabilization and forest management 6 Watershed attributes shown in Table2 were collected using GIS derived data. Table 2.... ..."
Table 3. Features ranked by ReliefF
"... In PAGE 5: ... We can thus additionally discard the attributes that are ranked negative. There are no such attributes for our data ( Table3 ), though posibxno, gg2 and possibly also clin-stage and dre show a low ReliefF, so the expert should consider whether they should be used for modelling or not. This concludes the preprocessing; we removed several attributes and used... ..."
Table 3. Features ranked by ReliefF
"... In PAGE 5: ... We can thus additionally discard the attributes that are ranked negative. There are no such attributes for our data ( Table3 ), though posibxno, gg2 and possibly also clin-stage and dre show a low ReliefF, so the expert should consider whether they should be used for modelling or not. This concludes the preprocessing; we removed several attributes and used... ..."
Table 2. Average, standard error (s.e.), and range of landscape and lake morphometry variables for 33 lake watersheds in the Twin Cities metropolitan area, MN (S W = To watershed, 070 LF = % 200 m lake fringe area, n = 38 watershed-years).
"... In PAGE 6: ...ere digitized from U.S.G.S. 1:24,000 topographic maps. Land use and wetland types were measured using the ERDAS GIs, and expressed as both a per- centage of the lake fringe area (a 200 m band or 4 ha pixel width surrounding each lake) and total watershed area ( Table2... In PAGE 7: ...extract individual watersheds from the regional data files, and to compute average soil (pH, availa- ble soil P) and topographic variables (maximum elevation difference: Table2 ) for each watershed. Streams flowing into each lake were divided into 1 km increments from the inlet to the headwaters us- ing a map wheel.... In PAGE 7: ...4 Statistical analyses To reduce the large number of watershed charac- teristics to a smaller number of variables, we per- formed a principal components analysis (PCA) without rotation on selected watershed variables (Norusis 1988). The original watershed variables were not expressed in common units and thus had a wide range of variances ( Table2 ). Therefore, ... In PAGE 9: ... The presence of linearly related variables will produce a singular matrix (and computer overflow errors) or an ill-conditioned matrix with associated round-off errors (Draper and Smith 1981). To resolve this problem, we chose a subset of 27 watershed variables to eliminate redundant combi- nations and gave preference to variables of known importance to water quality ( Table2 ). For exam- ple, when summary variables (e.... In PAGE 9: ...al Lake watershed was most highly developed (e.g. 83% urbadresidential), while Chub Lake (36% forest) and Golden Lake watersheds (41% wet- lands) were the least developed watersheds. Total watershed area ranged from 2 to 50 kmz, with an average of 17 km2 ( Table2 ). Because lakes had been selected in a stratified fashion to cover the range of lake sizes found in the Twin Cities metropolitan area, lakes in our subsample were larger on average ... ..."
Table 2. Runoff volumes and soil loss estimates for the entire watershed as predicted by WEPP.
2003
"... In PAGE 29: ...5 mm 35 9 185 300 Boom sprayer Nelson trashbuster variable 14 14 10 20 Boom sprayer Nelson trashbuster variable 35 16 45 90 Solid set Senninger model 70 9/32 in 50 65 95 260 Hard-hose traveler Rainbird model 100 0.55 in 60 121 360 520 Center pivot Senninger model 50 7/32 in 35 42 170 360 Center pivot Nelson trashbuster variable 15 14 14 20 Center pivot Senninger superspray variable 15 14 18 30 1 Measured from edge of wetted radius Table2 . Uniformity data for Cadman 2625 hard-hose traveler with Rainbird 100 model gun at 60 psi.... In PAGE 30: ...The center pivot, boom sprayer, and hard-hose traveler systems all have comparable uniformity. Table2 shows data from the hard-hose traveler. When the systems are operated in light wind (less than 3 miles per hour), uniformity of 80 to 92% efficiency was obtained.... In PAGE 44: ... Significant errors in interpretation can occur if the residual term is used without respect to errors that are inherent to it. Table2 lists all the associated errors for each component and their range. Errors were taken from the literature (Winter, 1981; Owen, 1995).... In PAGE 45: ... Table2 . Water budget components and associated error.... In PAGE 52: ...with 25-foot forested and 25-foot grass buffers Construction, with no buffers 8340 390 Final golf course 4770 15 predicted soil loss was 68 times greater than the actual sediment yield ( Table2 , Figure 3-a). Eventually we hope to determine discharge and sediment yield values from the model, making the comparison between measured and modeled conditions more reasonable.... In PAGE 52: ... Although we are not yet able to predict discharge and sediment yield from this site using WEPP, we can still make comparisons between landcover scenarios to evaluate erosion control effectiveness. Based on predicted WEPP values, soil loss increased 12-fold during construction conditions with the forested buffers created by the golf course designers, while runoff volume only increased by 16% ( Table2 ). Sediment loss could be greatly reduced by extending the buffer to entire extent of the stream, since the greatest erosion occurs in the areas surrounding nonbuffered stream reaches (Figure 3-d).... In PAGE 52: ... Sediment loss could be greatly reduced by extending the buffer to entire extent of the stream, since the greatest erosion occurs in the areas surrounding nonbuffered stream reaches (Figure 3-d). The use of the forested buffers during construction did decrease sediment loss by 28%, showing that they were somewhat effective for reducing soil loss ( Table2 , Figure 3-b). The replacement of the outer 25 feet of forested buffer with grass buffer increased runoff volume by 96% and soil loss by 16-fold, as compared to initial forested conditions (Table 2, Figure 3-c).... In PAGE 52: ... The use of the forested buffers during construction did decrease sediment loss by 28%, showing that they were somewhat effective for reducing soil loss (Table 2, Figure 3-b). The replacement of the outer 25 feet of forested buffer with grass buffer increased runoff volume by 96% and soil loss by 16-fold, as compared to initial forested conditions ( Table2 , Figure 3-c). It is likely that the model predicts greater infiltration and rainfall interception from leave cover for trees than for grass, explaining the increased runoff rates.... ..."
Table 1. General characteristics of nine wetlands and their watersheds in central New York, USA. Size of Size of Highly leachable
"... In PAGE 2: ... 2. Study sites To develop and illustrate the screening procedure, we selected nine wetlands with contrasting spatial patterns of soils, land use, and topography in their watersheds ( Table1 ). Relatively small, isolated wetlands located at the base of steep hillsides were selected.... In PAGE 3: ... Most were classified as seasonally flooded or saturated but several sites were semi-permanently flooded because of impoundments. Their watersheds ranged from about 1 to 19 ha ( Table1 ) and con- tained a variety of land uses including cropland, pasture, forest and brush, low density residential, commercial, and inactive agriculture (Table 1, Fig. 1).... In PAGE 3: ... Most were classified as seasonally flooded or saturated but several sites were semi-permanently flooded because of impoundments. Their watersheds ranged from about 1 to 19 ha (Table 1) and con- tained a variety of land uses including cropland, pasture, forest and brush, low density residential, commercial, and inactive agriculture ( Table1 , Fig. 1).... In PAGE 4: ...tial) was variable, ranging from 0 to 90% (Table 1). With large areas of cropland in some of the water- sheds ( Table1 , Fig. 1) and the predominance of highly leachable soils, some of these wetlands clearly are at risk for subsurface nitrogen pollution.... ..."
Table 6. Results of stepwise multiple regressions with the rank of the first principal component for sediment metals (METPC1) or organics (ORGPCI) as the dependent variable and the rank of the area of developed land (DEV), herbaceous land (HERB), forested land (FOR), annual outflow from point discharge sites (FLOW) and the rank of the first principal component for metals loadinga (LOADPCI) as independent variables. Results for the watershed (Wshed), partial watershed (Partial) and weighted partial watershed (Weighted) landscape analysis mefhods are given. Independent variables shown met the 0.15 significance level to enter and remain in the stepwise regression model.
"... In PAGE 8: ...antly correlated (p lt; .05, Table 5). The strongest correlations were observed between FLOW and LOADPCl for each landscape analysis method. A significant amount of variation in the level of sediment metals and organics was explained by the regression models ( Table6 ). Coefficients of multi- ple determination (R2) ranged from 0.... ..."
Results 1 - 10
of
1,302