"... In PAGE 70: ... Groundwater contaminant levels, water levels, tree growth, tree transpiration rates, tree transpirational gas and con- densate water contaminant levels, soil community, and tree tissue contaminant levels were monitored over the second year growing season to determine the effectiveness of this emerging technology. The monitoring approaches are sum- marized in Table6 -1. The sampling design of the site in- volves collecting soils, transpiration gases, and tree tissues from the roots, shoots, stems, and leaves.... In PAGE 70: ... There was a strong correlation (0.92) be- tween condensate water and transpiration gas, with a maxi- Table6 -1. Monitoring Approaches at the J-Field Site.... In PAGE 73: ... They ranged from 2 to 930 ppb TCE in the groundwater, with most samples falling in the 500- to 600-ppb range (see Fig- ure 6-2). Average concentrations of the contaminants on the three sampling dates are provided in Table6 -2, with the exception of vinyl chloride. Vinyl chloride was only detect- able in a handful of samples and generally at low levels; thus, an average concentration was not determined.... In PAGE 73: ....2.4 Costs Some rough estimates of cost for the Carswell Site have been provided by site managers. These estimates can be found in Table6 -3. Since this site involves an innovative treatment technology, these costs are substantially inflated due to the heavy monitoring taking place at the site.... In PAGE 74: ... 278 Cart Path Farmers Branch Creek 830 438 490 230 960 900 620 970 920 920 890 890 N 0 50 100 200 Feet Roar ing Spr ings Road TCE Concentrations (PPB) from Site Characterization Work Figure 6-2. TCE Concentrations Table6 -2. Average Concentrations of TCE, cis-DCE, and trans-DCE at Carswell Site.... In PAGE 74: ... Contaminant Average Concentration (ppb) December 1996 May 1997 July 1997 TCE 610 570 550 cis-DCE 130 140 170 trans-DCE 4 2 4 will be spent for extensive site monitoring that would not normally be associated with a phytoremediation system; thus, this amount was not included in the cost estimates. Table6 -3. Estimated Cost of Phytoremediation at the Carswell Site.... In PAGE 78: ... For each lysimeter, underlying waste conditions were simu- lated by applying the contents of 55-gallon steel drums one- third filled with gravel and by tilling the remaining area with native soil. Table6 -4 summarizes the design type for each lysimeter. The bioengineering management surface barrier in Lysim- eters 1 and 2 was installed in May 1987.... In PAGE 78: ... Thus, this system provides a potentially effective approach for addressing damages from active subsidence conditions. Table6 -4. Design Type and Completion Dates for the Experimental Covers.... In PAGE 79: ... Additionally, the water tables for both plots were elimi- nated by July 1989. Table6 -5 illustrates the percentage of rainfall managed by runoff, evapotranspiration, and deep per- colation at the two bioengineering management surface bar- riers. The percent of precipitation associated with evapo- transpiration increased annually because of the greater veg- etative canopy.... In PAGE 83: ... Additionally, the data will be made available on a yearly basis. Table6 -6 displays the results from the first year of collecting data for the six cover designs (May 1997 through March 1998). Table 6-6.... In PAGE 83: ... Table 6-6 displays the results from the first year of collecting data for the six cover designs (May 1997 through March 1998). Table6 -6. Summary of Percolation and Precipitation Rates From May 1997 Through March 1998 for the Six Cover Designs.... In PAGE 83: ...6.6 Costs The individual construction cost for each cover is pre- sented in Table6 -7. These values only represent construc- tion costs and do not include instrumentation equipment, monitoring provisions, or other items associated with cover testing.... ..."

"... In PAGE 13: ... Together with other simulations that we have done, this shows that very di erent operational conditions have similar behaviors, as long as the metrics P and F are similar (this e ect also occurs in Figure 4). Table2 , which summarizes the results obtained, o ers a qualitative analysis of this issue. Outside the parenthesis we describe the system parameter that dominates network lifetime (other energies refers to idle and tra c energies), while inside we describe the shape of the peak that exists in the monitoring period (earlier, normal or later, respectively means that peak starts closer, in the normal place or farther away from the origin).... ..."

"... In PAGE 21: ... The input hg is a normally distributed univariate random variable. Table4 presents a range of values for the turbulence model parameters. Note that the parameter values are based on data collected in an air medium, not the medium in which the BACT was tested (i.... ..."

"... In PAGE 7: ...hich the value is fixed (e.g., bound at compile time), and the default value. Table1 shows some parameters of variation for the FWS product line. (See (Padmanabhan, 2002) for a fuller treatment of the commonality analysis).... ..."

"... In PAGE 3: ... This sensitivity analysis is illustrated in Table 5. Table5 is then used to determine which technique dominates at each level of the sensitivity analysis. Dominance is established by the forecasting method that generates the lowest value of the weight sum of shortages and excesses.... In PAGE 3: ... Dominance is established by the forecasting method that generates the lowest value of the weight sum of shortages and excesses. The highlighting in Table5 illustrates identification of dominance. A forecasting method may dominate across all the assigned weights.... ..."

"... In PAGE 4: ...transpiration of tules in the Central Valley is about 2642 mm of water annually and the transpiration of cattails is about 2286 mm annually (Young and Blaney 1942). Riparian forest, composed of medium tall to tall broad-leaved deciduous trees, occupied natural river levees and accounted for approximately 8% of the total area of the Central Valley ( Table1 ). The composition of the native riparian forests is uncer- tain (Griffin 1977), but Thompson (1961) provides an excellent review of historical accounts and Kuch- ler (1977) suggests that cottonwood (Populus frernontii) was the dominant species.... In PAGE 4: ... The native vegetation in the Central Valley in- cluded two mesophytic vegetation types, the Cali- fornia prairie and the valley oak savanna (Kuchler 1977). The pristine California prairie accounted for the largest area of pre-agricultural vegetation in the region ( Table1 ). It covered about 63% of the Cen- tral Valley and was over four times larger in area than the tule marsh which was the next largest vege- tation type.... In PAGE 5: ... Although consumptive use by native vegetation on drying soil varies within a given vegetation type in response to local climate, soil, and drainage differences (Miller 1977), data for a representative site provide a reasonable basis for estimating the areal moisture flux. Representative evapotranspiration from meso- phytic vegetation is lower than evapotranspiration for hydrophytes and riparian vegetation by as much as a factor of eight ( Table1 ). The significantly low- er evapotranspiration flux for these plants is the product of differences in plant physiology (Linacre 1976) and the reduced availability of moisture to plants during the dry summer months.... In PAGE 5: ... Annual eva- potranspiration from the valley grassland is esti- mated to be 282 mm since it occurred in areas where precipitation was moderately limiting (Major 1977). The other mesophytic vegetation type, valley oak savanna, covered 204,000 ha and accounted for the smallest area of native vegetation in the Central Valley ( Table1 ). This vegetation type is character- ized by valley oak (Quercus lobata) growing in groups or singly and towering above an underlying California prairie cover.... In PAGE 5: ... The evapotranspiration for this mesophytic vegetation is estimated to be 600 mm which com- bines the limited moisture available to the grasses and the unlimited moisture available to the scat- tered oaks (MacGillivray 1975). San Joaquin saltbrush is the fifth major native vegetation type in the Central Valley ( Table1 ). This xerophytic vegetation commonly occupied poorly drained alkali soils in the arid southern and western portions of the Tulare subbasin and a comparative- ly small area of the central San Joaquin subbasin.... In PAGE 5: ... The large ex- panse of mesophytic California prairie accounted for another 25% of the total evapotranspiration flux. Although the tule marsh was the dominant source of evapotranspiration for the Delta and Tulare subbasins, its contribution to total evapo- transpiration was slightly less in the San Joaquin subbasin and lower still in the Sacramento subbasin ( Table1 ). The larger areas of riparian forest and California prairie in the Sacramento and San Joa- quin subbasins compensated for the higher rate of evapotranspiration by the tule marsh.... In PAGE 6: ... This agricultural land was previously forests, marsh and overflow land, grasslands, and alkali flats (Harding 1960; Thompson 1961). The greatest expanse of surviving native vegeta- tion is in the Sacramento subbasin and the smallest area is in the San Joaquin subbasin ( Table1 ). The greatest conversion of land from native vegetation to irrigated agriculture has occurred in the Tulare subbasin where native vegetation has been reduced to about 27% of its pre-agricultural area.... In PAGE 6: ... The greatest conversion of land from native vegetation to irrigated agriculture has occurred in the Tulare subbasin where native vegetation has been reduced to about 27% of its pre-agricultural area. California prairie continues to be the most ex- pansive native vegetation throughout the Central Valley even though its area has been reduced to about 46% of its original coverage ( Table1 ). The present-day prairie occurs as a ring around the Cen- tral Valley that increases in size from south to north.... In PAGE 6: ... San Joaquin saltbrush has been replaced by ir- rigated crops on all but the most alkaline soils in the arid southern end of the Central Valley. Today, saltbrush occupies about one-fourth the area of its pre-agricultural habitat, but nearly 90% of the salt- brush is in the Tulare subbasin ( Table1 ). The rela- tively flat valley floor in the San Joaquin and Tulare subbasins occupied by San Joaquin salt- brush was easily converted to agriculture as soon as irrigation water became available.... In PAGE 6: ... The irrigated acreage in these subbasins today accounts for more than one-half of the irrigated land in California (McCorkle and Nuckton 1983). Irrigated agriculture has nearly eliminated the valley oak savanna from is native areas in the Tulare subbasin ( Table1 ). Although valley oak savanna accounted for the smallest area of the five native vegetation types in the Central Valley, it has experienced the greatest relative reduction in area.... In PAGE 9: ... In general, na- tive vegetation has been replaced less extensively in the northern section of the valley than in the southern portion. The present landscape in the Sacramento subbasin has the largest area of native vegetation and the Delta subbasin has the third lar- gest area ( Table1 ). Although the Tulare subbasin has the largest total land area, its present area of na- tive vegetation is only 60,000 ha larger than the areal expanse of native vegetation in the Delta sub- basin.... In PAGE 9: ... This does not suggest, however, that irrigated agriculture has not altered the landscape in this sub- basin. A significant component of the change in na- tive vegetation has been a 52% reduction in tule marsh ( Table1 ) which has resulted from the crea- tion of islands protected by levees. The cultivated land on the leveed islands was previously covered by water for most or all of the year.... In PAGE 9: ... The Tulare subbasin represents the most severe change in vegetation resulting from the introduc- tion of irrigated agriculture. Only about 27% of the subbasin area is still inhabited by native vegetation ( Table1 ). Irrigated crops occupy all of the land that was once riparian forest and all but a small percen- tage of the valley oak savanna habitat.... In PAGE 9: ... Changing the vegetation structure of the Central Valley has altered the transfer of moisture to the at- mosphere, but there are several surprising facets to the change in evapotranspiration. In the pre- agricultural landscape, the largest evapotranspira- tion flux was provided by the Tulare subbasin and was supported largely by the expanse of tule marsh ( Table1 ). The arid conditions in this subbasin make such a large volume of evapotranspiration unex- pected.... In PAGE 9: ... The change in evapotranspiration in the Delta subbasin is notable also. In this case, evapotranspi- ration for the irrigated landscape is less than evapotranspiration for the pre-agricultural land- scape by about 1,000 hm3 ( Table1 ). This is the result of tule marsh and riparian forest being replaced by irrigated crops which use less water than the native vegetation.... ..."

"... In PAGE 2: ... The samples were analyzed for soil organic matter (%), available nitrogen (ppm), available phosphorus (ppm), available potassium (ppm) and soil texture (sand, silt and clay percentage). The methodology for determining soil chemical (fertility) parameters is given in Table2 . Soil texture was determined using International Pipette method.... ..."

"... In PAGE 11: ... We next demonstrate the effects of not considering the video object activity level, , when determining the threshold for the Hamming distance based algorithm. Since Bream and Weather video objects have moderate activity levels, as given in Table5 , the parameter is always equal to one when selecting the key VOPs of theses video objects. On the other hand, the activity level of Hall Monitor video object is high in most of its temporal segments, as shown in Table 5.... In PAGE 11: ... Since Bream and Weather video objects have moderate activity levels, as given in Table 5, the parameter is always equal to one when selecting the key VOPs of theses video objects. On the other hand, the activity level of Hall Monitor video object is high in most of its temporal segments, as shown in Table5 . Consequently, the parameter affects the decision threshold when computing the Hamming distance.... In PAGE 22: ...able 3. Selection of the values for the parameter depending on the activity level of video objects...... 23 Table5 .... ..."