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<br />10 BIOLOGICAL REPoRT 19 <br /> <br />Table 2. Mainstem and major tributary sampling <br />stations used in the Minnesota River Assessment <br />Project. <br /> <br />Site name River kilometer <br /> <br />Mainstem <br />Lac Qui Parle <br />Montevideo <br />Sacred Heart <br />Delhi <br />Morton <br />Fairfax <br />New U1m <br />Courtland <br />Judson <br />Mankato <br />St. Peter <br />Henderson <br />Tributaries& <br />Chippewa River <br />Yellow Medicine River <br />Hawk Creek <br />Redwood River <br />Cottonwood River <br />Watonwan River <br />Le Sueur River <br />Blue Earth River <br />Rush River <br />High Island Creek <br /> <br />463 <br />436 <br />383 <br />352 <br />327 <br />283 <br />243 <br />216 <br />193 <br />172 <br />146 <br />lOB <br /> <br />442 <br />393 <br />381 <br />349 <br />232 <br />183 <br />182 <br />180 <br />109 <br />98 <br /> <br />& River kilometer given is at the confluence with the Minnesota <br />River. <br /> <br />Level I <br /> <br />Level I of land use is an examination of the <br />nonpoint source pollution potential (NPSPP) model <br />and the river continuum concept (Vannote et al. <br />1980). The model was developed by Peterson (1991) <br />using aquatic ecoregions (Omemik 1987) and water <br />quality data (Fandrei et al. 1988). The model is <br />useful as a plAnning tool for identifying minor wa- <br />tersheds that may be significant contributors of <br />nutrients to the mainstem. <br />The NPSPP model classifies minor watersheds <br />within each ecoregion by percent area of land use, <br />water orientation, soil texture and hydrologic <br />groups, and slope parameters. These variables <br />were correlated with 10 water quality parameters <br />to generate a list of potential nonpoint source <br />pollution indicators. The model assigns each mi- <br />nor watershed to 1 of 10 categories (1-10, 11-20, <br />21-30, ... 91-100). The 1-10 category has the <br />lowest NPSPP, while 91-100 has the highest. <br />Because the model uses an assigned rank, the <br />overall distribution of categories throughout the <br />basin is uniform. However, within a major water- <br /> <br />shed (tributary to the mainstem), there is often <br />considerable variation. <br />A weakness of the model is that it does not take <br />into account current land management practices. <br />A minor watershed with high NPSPP may actu- <br />ally have excellent water quality if BMP's have <br />been applied aggressively. Conversely, a minor <br />watershed with lower. NPSPP may have poorer <br />water quality without BMP's. <br /> <br />Level II <br /> <br />The objective at Level IT is to identify and <br />recommend the most economical and cost-effec- <br />tive BMP's or resource IJ'IAnagement systems that <br />will alleviate water quality problems caused by <br />agricultural practices. The U.S. Soil Conservation <br />Service is evaluating 10 minor watersheds using <br />AGNPS and GLEAMS, as well as several other <br />computer models. <br />Preliminary data on one of the minor water- <br />sheds indicate the use of BMP's on 80% of the <br />watershed will reduce phosphorus loading by at <br />least 50%. Cost analysis and participation by <br />landowners are being investigated. <br /> <br />Level III <br /> <br />Local Soil and Water Conservation Districts <br />within the basin have been applying a four-step <br />process to 37 minor watersheds throughout the <br />basin to identify land use characteristics. The proc" <br />ess includes walking each of the minor watersheds <br />to obtain field data, interviewing landowners. <br />within the watershed to determine existing land <br />use practices, developing detailed land use maps, <br />and developing a database. <br />Watersheds were selected in a systematic man- <br />ner. The 10 watersheds studied in Level II were <br />also included in Level III. An attempt was made <br />to select additional minor watersheds that repre- <br />sented a cross section of existing conditions within <br />the watershed. Another factor in choosing minor <br />watersheds for study was the ability of the local <br />soil and water conservation districts to cooperate. <br />This methodology provided accurate maps and <br />an opportunity to inform and educate landowners <br />about the project and the problem of nonpoint <br />source pollution. However, the cost is very high <br />(about $3,500 per watershed). <br />Within the group of watersheds selected for <br />study, there was tremendous variability across <br />the measured characteristics (Table 3). We <br />wanted to study more minor watersheds and to <br />