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D. C. Goodrich et al. /Agricultural and Forest Meteorology 105 (2000) 281 -309 <br />demonstrated that specific yield was the least sensitive <br />parameter in their localized water balance computa- <br />tion around Lewis Springs. A similar computation for <br />change in storage was made over DOY 101 -191. The <br />uncertainty in this term was estimated by assuming <br />the errors in the areas of the alluvial aquifers were up <br />to 15 %, the change in water table measurement errors <br />were roughly 5 mm and the specific yield error was <br />0.05. Soil moisture storage changes were also scaled <br />using land cover class areas. The integrated change in <br />soil moisture at the mesquite tower was multiplied by <br />the high- and low - density mesquite land cover areas. <br />The soil moisture changes at the sacaton tower were <br />assumed to apply to the sacaton, scrub and bare land <br />cover class areas and the changes at the mesquite tower <br />were assumed to apply to the C/W areas. Based on <br />calibration of the soil moisture instruments an error of <br />2% of volumetric soil moisture was assumed. The er- <br />ror in the depth of probe placement was assumed to be <br />lcm. <br />The changes in water table depth were determined <br />by selecting a set of piezometers within each of the <br />aquifers and averaging the change in depth from the <br />beginning to end of the time period examined. The <br />piezometers selected to determine the change in head <br />level for the pre - entrenchment aquifer were WNF <br />13, WMF 13, WSF 14, WMC 14, and ENC 13. For <br />the post - entrenchment aquifer, piezometers EMC 10, <br />EMF 10, ESC 10 and ESF 11 were used (see MacNish <br />et al., 2000 for more detail). Using this information <br />and Eq. (8), GWnet(80--90) (DOY 80-90) was 73 200 m3 <br />which is equivalent to a rate of gain of 0.0847 m3 s -1 <br />over the 10 days period. For the same period of time, <br />the average gradient between BLM well #4 and BLM <br />well #5 was computed (V(4,5)(80-90)). These wells <br />are located on cross - section 3 at Lewis Springs with <br />well #4 finished at a depth of roughly 7m and well <br />#5 finished at a depth of roughly 54 m. <br />The net groundwater gain during the water balance <br />period from DOY 101 to 191 was computed by ad- <br />justing the pre - green -up gain with the ratio of the ob- <br />served to pre - green -up gradient between wells 4 and <br />5 as follows: <br />GWnet(101 -191) <br />191 j 0(4 5)i 1 <br />GWnet(80 -90) L j (10) <br />i =1oi V(4> 5)(go -9o> <br />295 <br />This was done in an attempt to account for changes in <br />the net groundwater gain resulting from time - varying <br />changes in the regional aquifer. The uncertainty asso- <br />ciated with this term was computed by substituting the <br />standard error for the Lewis Springs stage — discharge <br />rating for GWnet(80--90) in Eq. (10). Error in difference <br />in head measurements and the separation distance be- <br />tween the deep and shallow well were assumed to be <br />0.005 and 0.5 m, respectively. <br />The volume of water transpired by the C/W forest <br />(Tc/wr) was estimated by summing the average daily <br />values of transpiration obtained from the calibrated <br />P —M model scaled by the remotely sensed area for <br />the riparian woodland (Column 2 of Table 1). Scal- <br />ing in this fashion implies several assumptions: (1) <br />the meteorological measurements made at the Lewis <br />Springs mesquite tower are representative of the entire <br />reach; (2) the trees as well as the relative proportions <br />of young and old trees sampled at Lewis Springs are <br />representative of the entire reach. The last assumption <br />was required as the remotely sensed data were not <br />able to distinguish old from new growth. The uncer- <br />tainty in this term is relatively large due to the multiple <br />measurements and estimates that are made in scaling <br />from the tree, to stand, to riparian corridor level. Er- <br />rors in the scaling process include: the standard error <br />in the sapwood area versus tree diameter regression, <br />the standard error of the (sap flux/unit sapwood area) <br />measurements, the daily error in the P —M model cali- <br />bration, and the estimated error in the remotely sensed <br />area of riparian woodland (2 %, see Appendix A). <br />The volume of water evaporated and transpired by <br />the mesquite trees (ETm) was determined by summing <br />the average daily values of mesquite ET multiplied <br />by the area for this vegetation class. As noted in Ap- <br />pendix A, the uncertainty associated with the area of <br />this vegetation class is estimated to be 2 -5% and the <br />larger figure was used in the error calculation. The <br />Bowen ratio ET estimates are assumed to be accurate <br />to within 20 %. <br />5. Results and discussion <br />Several preliminary results regarding sacaton grass <br />ET water sources and the ability of remotely sensed <br />data to detect changes in the hydrologic regime will <br />be briefly discussed. More substantial results are <br />