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Title
Mathematical Modeling of a Sociological and Hydrologic Decision System
Date
6/1/1978
Prepared By
Institute for Social Science Research on Natural Resources, Utah State Univ.
Floodplain - Doc Type
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<br />company the treatment of ordinal variables as <br />interval, this is offset by the use of more power- <br />ful, more sensitive, more highly developed, and <br />more clearly interpretable statistics with known <br />sampling error. For example, well defined mea- <br />sures of dispersion (variance) require interval or <br />ratio based measures. Furthermore, many more <br />manipulations (which may be necessary to the <br />problem in question) are possible with interval <br />measurement, e.g., partial correlation, multi~ <br />variate correlation and regression, analysis of <br />variance and coevariance, and most pictorial <br />presentations (labovitz, 1970: 515). <br /> <br />For the purpose of this study, the specification <br />of imporlanl variables and of the general nature of the <br />relationships among them, the data have been formu- <br />lated and Irealed as interval information. Dummy <br />variables are generally not used in Ihe regression equa- <br />lions since the dala are trealed as if they measured <br />the underlying variable continuously. It is expected <br />thai measurement methods can later be improved to <br />approximale continuous scales more closely in the <br />real sense.2 <br /> <br />Evaluation and Analysis of the Physical <br />and Hydrologic Data from <br />the Study Area <br /> <br />The physical data provide a description of the <br />real world hydrologic system thai establishes a basis <br />for formulation and testing of the combined socio- <br />logical-hydrologic model. The accuracy of predictions <br />from a modei are governed by the reliabilily of the <br />information used 10 develop the model and the accur- <br />acy of the input dala used in predictions. <br /> <br />As shown on Figure 1.1, the Ihree streams with- <br />in Ihe study area are tribularies to the Jordan River. <br />The urban portions of Ihe drainages of Mill Creek, <br />Big Cottonwood and little Cottonwood Creeks (Fig. <br />ure 2.2) contain approximalely 14,23, and 10 square <br />miles, respectively, and exlend from the foot ofthe <br />Wasalch Mountains to the Jordan River. Urbanization <br />is predominately residential in nature with a few areas <br />of light industrial and commercial development. The <br />rural portions of the three watersheds (Figure 1.1) <br />extend to the lops of Ihe Wasatch Mountains. Most <br />of the water flow is generated within Ihe mOlll1tain- <br />ous rural areas. <br /> <br />Topography <br /> <br />The generallopography of the urbanizing por- <br />tion of the study area isshown by Figure 2.1. Ele- <br /> <br />2Recently methods for attaining actual ratio scale <br />levels has been developed that should be applicable to some <br />of the variables in this study. (See Stevens, 1966; Hamblin, <br />1971,1974.) <br /> <br />vations range from 4200 feet at the Jordan River 1.0 <br />4800 feet along the Wasatch Boulevard on the easl. <br />The slopes also steepen 10 the easl. The fast runoff <br />down the steep slopes tends 10 accumulale in ditches, <br />curbs, and gutters on Ihe flatter areas near the Jordan <br />River. <br /> <br />Geology <br /> <br />Where the steep mountain slopes merge into the <br />upper planes of the valley, rocks and gravel are over- <br />lain with sand and soil. Vegetalion is of the scrub oak <br />variely mixed with some grasses. Because of its high <br />gravel and sand contenl, the infiltration capacity of <br />the soil is generally high. The sand soil is easily eroded <br />by high velocity flows 10 form gullies, and erosion as <br />increased by grading, trenching, or other movement <br />of the soil during oonstruclion of buildings and roads. <br />Near the Jordan River the soils are heavy. Water tends <br />to pond in surface depressions rather than inftltrate, <br />and lower flow velocities reduce erosion hazards. <br /> <br />Degree of Urbanization Within <br />the Study Area <br /> <br />In order to model urban runoff, it is necessary <br />to select readily determined parameters which corre- <br />late with changes in the runoff hydrograph due to <br />urbanization. Two parameters proposed by Narayana <br />et al. (1969), Ihe percentage impervious cover, Cr, and <br />the characteristic impervious length faclor, 4, are <br />used in this study. These two parameters represent <br />physical conditions existing on the watershed and Can <br />be estimated from aerial photos. <br /> <br />Computalion of Urban <br />Parameters <br /> <br />Some size of spatial unil musl be adopted for <br />the model. Narayana et al. (1969) chose the entire <br />walershed as the primary catchmenllll1it. Evelyn et <br />al. (1970) found thai accurate synthesis of hydro- <br />graphs at selecled localions within a basin required <br />that small sub watersheds be chosen as the primary <br />calchment units. The oulflows from the subzones <br />then can he routed and combined 10 delermine out- <br />flow hydrographs al downstream points. An even <br />smaller unit, the urban block, would permit synthesis <br />of inlel hydro graphs for storm drain and gutter de. <br />sign under various assumed degrees of urbanization. <br /> <br />Evelyn el al. (1970) proposed the following pro. <br />cedure for evaluating Ihe urban parameters, and this <br />procedure was adopled for this study. <br /> <br />I. Divide the watershed into sub-zones as <br />illustrated by Figure 2.2. <br />A. Factors which influence Ihe num. <br />ber of subzones and their bound. <br />aries are: <br /> <br />14 <br />
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