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2014-05-15_REVISION - M1987064
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2014-05-15_REVISION - M1987064
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Last modified
6/16/2021 6:19:09 PM
Creation date
5/15/2014 4:50:23 PM
Metadata
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Template:
DRMS Permit Index
Permit No
M1987064
IBM Index Class Name
REVISION
Doc Date
5/15/2014
Doc Name
Response to adequacy review comments TR04
From
Elam Construction, Inc.
To
DRMS
Type & Sequence
TR4
Email Name
KAP
Media Type
D
Archive
No
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0.11 <br />0.09 <br />N <br />M <br />E <br />v 0.07 <br />0.05 <br />,. 20 <br />c� <br />: 10 <br />a <br />E <br />t <br />0 <br />d <br />-10 <br />D.C. Goodrich et at /Agricultural and Forest Meteorology 105 (2000) 281 -309 <br />19 20 21 22 23 24 25 26 <br />October 1996 <br />Fig. 2. San Pedro River discharge from the USGS gage at <br />Charleston, AZ (top); air temperature measured at mesquite tower, <br />Lewis Springs, AZ (bottom). <br />between riparian ET and streamflows in the USPB is <br />indirectly illustrated in Fig. 2. In the top portion of <br />this figure, discharge from the US Geological Survey <br />(USGS) stream gage at Charleston (Fig. 1) is plot- <br />ted from 19 to 26 October 1996. The bottom part of <br />the figure illustrates air temperature from the Lewis <br />Springs site (Fig. 1) south of the Charleston Gage. <br />Prior to the first hard freeze, occurring late on 21 Oc- <br />tober 1996 the streamflow exhibits a distinct diurnal <br />pattern that is closely correlated with air temperature <br />and presumably riparian ET. After the freeze, the di- <br />urnal pattern immediately dissipates and the discharge <br />increases indicating the hard freeze put a halt to ripar- <br />ian ET. Similar diurnal patterns in shallow well wa- <br />ter levels in the floodplain alluvium during the ripar- <br />ian growing season illustrate the close coupling be- <br />tween groundwater, surface water, riparian vegetation, <br />and atmospheric processes in the USPB (MacNish <br />et al., 1998). Current estimates of riparian ET water <br />use are substantial in this basin. Based on calibrated <br />groundwater model estimates (Vionnet and Maddock, <br />1992; Corell et al., 1996), riparian ET accounts for <br />285 <br />roughly 40% of the total basin groundwater discharge. <br />Therefore, better understanding and methods to quan- <br />tify riparian ET are essential to the management and <br />preservation of this system. <br />The most intensive set of coordinated measurements <br />took place in the perennial river reach surrounding the <br />Lewis Springs site. Different hydrologic regimes were <br />included in the study by making a subset of measure- <br />ments at the intermittent Boquillas Ranch site and the <br />ephemeral Escapule wash site (Fig. 1). Measurements <br />were made prior to and throughout the 1997 ripar- <br />ian growing season. While some measurements were <br />made on a near - continuous basis (e.g. meteorology, <br />stream stage), five intensive synoptic measurement <br />sets were made over periods ranging in length from 48 <br />to 120 h. The synoptic measurement periods spanned <br />a period from March to October during the follow- <br />ing days of the year (DOY — Julian Day Of Year) <br />111 -112, 158 -160, 191 -194, 223 -228, and 285 -289. <br />This period spans the pre - green -up and growing sea- <br />son to allow for characterization of the seasonal vari- <br />ations in ET, and surface- water - groundwater interac- <br />tions. During these synoptic measurement periods, a <br />variety of coordinated remotely sensed and ground <br />measurements were made. <br />3.2. Remotely sensed measurements <br />An essential component in estimating riparian ET <br />is the determination of the area for various vege- <br />tation types or classes within the riparian corridor. <br />The primary data sources utilized for the riparian <br />vegetation classification were: (1) a 12 -band the- <br />matic mapper simulator (TMS) deployed aboard a <br />NASA Jet Propulsion Laboratory aircraft, and (2) <br />high - resolution color infrared (CIR) photography ob- <br />tained from a 9 in. format mapping camera aboard a <br />USDA -ARS aircraft from Weslaco, TX (Moran et al., <br />1998; Goodrich et al., 2000). The riparian corridor <br />was defined using a combination of USGS one -arc <br />second digital elevation model (DEM) data and CIR <br />photography. A detailed discussion of the procedures <br />and imagery employed to obtain the vegetation classi- <br />fication and the respective class areas is presented in <br />Appendix A. <br />Single - channel thermal data from an Inframetrics <br />sensor (inclusion of company or product names is <br />for information purposes only and does not indicate <br />
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