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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
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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
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No
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D.C. Goodrich et at /Agricultural and Forest Meteorology 105 (2000) 281 -309 <br />the ground and remote sensing measurements. Sec- <br />tion 4 describes the theory and modeling approach <br />to scale in situ measurements as well as the water <br />balance used to assess the validity of the scaling and <br />modeling approach. Results are presented and dis- <br />cussed in Section 5. A brief summary is contained <br />in Section 6. This is followed by conclusions and <br />recommendations contained in Section 7. <br />2. Background <br />The direct and indirect influence of riparian ET <br />on basin surface and groundwater resources has been <br />noted in numerous prior studies (Croft, 1948; Lines, <br />1996; Bowie and Kam, 1968; Federer, 1973; Singh, <br />1968; Culler et al., 1982). Both Bowie and Kam <br />(1968) and Federer (1973) noted significant impacts <br />on streamflow by ET which were further confirmed <br />by examination of streamflows after herbiciding or <br />eliminating riparian vegetation (Culler et al., 1982). A <br />variety of prior methods have utilized these observed <br />impacts on adjacent surface water and groundwater <br />to indirectly estimate riparian ET. <br />Early methods analyzed baseflow recession curves <br />at various times of the year to estimate riparian ET at <br />monthly and seasonal time scales (Langbein, 1942; <br />Riggs, 1953; Whelan, 1950; Hall, 1968). On a shorter <br />time scale Tschinkel (1963) and Reigner (1966) uti- <br />lize diurnal hydrograph changes to compute daily <br />riparian ET. Daniel (1976), in a similar manner to <br />Tschinkel (1963), presents a method to compute ET <br />over several months based on the difference between <br />observed streamflow and the theoretical "potential <br />streamflow" determined from a recession index. Lines <br />(1996) utilized this approach to estimate riparian ET <br />on the Mojave River for selected years in which sur- <br />face runoff was minimal by integrating the estimated <br />streamflow depletion throughout the riparian growing <br />season. Corell et al. (1996) and Goodrich et al. (1998) <br />carried out a similar analysis for the San Pedro River <br />in southeastern Arizona. While periods without ET <br />and runoff recharge can typically be found by ex- <br />amining various periods of the discharge record, the <br />requirement for absence of pumping in this approach <br />is typically more restrictive in any developed basin. <br />When storm runoff does occur, the method also as- <br />sumes baseflows can be easily separated from storm <br />283 <br />runoff. As noted by Maddock et al. (1998), this is not <br />a simple task. Another difficulty with this method is <br />determining the areal extent over which the riparian <br />ET affects streamflow. If a reach becomes intermit- <br />tent, this type of analysis is not applicable even though <br />substantial riparian vegetation may be present. <br />Gatewood et al. (1950) provide a good description <br />of six methods other than hydrograph analysis that <br />were employed to estimate riparian water use in the <br />Lower Safford Valley in Arizona. The six methods <br />were: (1) tank or lysimeter, (2) transpiration -well, (3) <br />seepage run, (4) water balance (inflow — outflow), (5) <br />chloride- increase, and (6) slope- seepage. All of these <br />methods estimate riparian ET indirectly through its <br />observed effects on related stream or aquifer charac- <br />teristics. As in the case of integrating streamflow de- <br />pletion, the transpiration -well, chloride- increase, and <br />slope- seepage methods all exhibit the same difficul- <br />ties of estimating the areal extent of riparian vegeta- <br />tion responsible for the indirectly determined riparian <br />water use. In a well - controlled tank or lysimeter, ac- <br />curate ET estimates can be obtained via a water bal- <br />ance calculation but scaling -up these measurements to <br />the riparian corridor level has been problematic. Lines <br />(1996) noted that lysimeter or tank ET measurements <br />(e.g. Gatewood et al., 1950; van Hylckama, 1980) did <br />not agree well with annual ET estimates derived from <br />streamflow depletion along the Mojave River. Weeks <br />et al. (1987) noted that the high rates measured by <br />lysimeters or tanks are likely due to oasis and plant <br />age effects and are likely to represent maximum ET <br />rates occurring in a non -water limited situation. The <br />seepage run method can only be applied in reaches <br />with perennial flow and with flows large enough to be <br />accurately measured by current meter methods. Both <br />of these conditions are violated in the San Pedro Basin <br />as well as numerous semi -arid riparian systems. <br />Other meteorologically based methods such as the <br />often employed Blaney — Criddle (Shuttleworth, 1993) <br />approach have also been employed to estimate ripar- <br />ian ET. In this empirical, temperature -based method, <br />ET rates are scaled by vegetation area to derive <br />monthly ET estimates. However, temperature -based <br />ET- estimation methods are not recommended unless <br />this is the only available data source (Shuttleworth, <br />1993). Shuttleworth (1993) also notes that while the <br />complexity of the Blaney — Criddle equation "is a <br />tribute to the loyalty of its proponents, it precludes <br />
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