Nutrient Transport Modelling in the Daugava River Basin - DiVA Portal
Nutrient Transport Modelling in the Daugava River Basin - DiVA Portal
Nutrient Transport Modelling in the Daugava River Basin - DiVA Portal
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Groundwater nutrient loadsThe groundwater nutrient load to <strong>the</strong> stream is obta<strong>in</strong>ed by multiply<strong>in</strong>g <strong>the</strong> flow fromeach groundwater box by <strong>the</strong> groundwater nutrient concentration. The monthlygroundwater nutrient load is thus calculated as follows:dm∑DG = 0.1* AT(C1G1+ C2G2)(11)mgt=1tdm∑gt=1whereC1 g = nutrient concentration <strong>in</strong> groundwater box 1 [mg/l]C2 g = nutrient concentration <strong>in</strong> groundwater box 2 [mg/l]AT = watershed area [ha]3.3 AVAILABLE OBSERVATION DATA USED IN THE STUDYg3.3.1 Climate dataClimate data (daily precipitation and mean air temperature) for <strong>the</strong> years 1980 to 2000were taken from <strong>the</strong> BALTEX Hydrological Data Centre data base adm<strong>in</strong>istrated bySMHI. The value of daily temperature and precipitation is a spatial and temporal meanof several measur<strong>in</strong>g po<strong>in</strong>ts <strong>in</strong> <strong>the</strong> bas<strong>in</strong> and several times of measurement dur<strong>in</strong>g <strong>the</strong>day (Danielsson, 2005).3.3.2 Streamflow and nutrient load dataThe reported data consist of monthly means of streamflow, total nitrogen load and totalphosphorus load from 19702000 (Wulff and Rahm, 1990; Stålnacke 1996) with somedata gaps dur<strong>in</strong>g <strong>the</strong> 90’s. In figure 5 <strong>the</strong> reported streamflow and <strong>the</strong> reported loads ofnitrogen and phosphorus from <strong>the</strong> <strong>Daugava</strong> are displayed. Data from 19701990 werecompiled by Stålnacke (1996) with help from data obta<strong>in</strong>ed from <strong>the</strong> LatvianHydrometeorological Agency <strong>in</strong> Riga. Gaps <strong>in</strong> <strong>the</strong> data series were filled <strong>in</strong> by <strong>the</strong> useof statistical <strong>in</strong>terpolation and extrapolation methods. Different sampl<strong>in</strong>g sites wereused and it is not clear where <strong>the</strong> sampl<strong>in</strong>g sites are located, but <strong>the</strong>y are probablysituated a considerable distance from <strong>the</strong> mouth of <strong>the</strong> river. S<strong>in</strong>ce <strong>the</strong> areas of differentland uses <strong>in</strong> <strong>the</strong> bas<strong>in</strong> have been calculated from <strong>the</strong> mouth of <strong>the</strong> river this means that<strong>the</strong> dra<strong>in</strong>age area used as model <strong>in</strong>put is overestimated with respect to <strong>the</strong> dra<strong>in</strong>age areaof <strong>the</strong> sample stations. Also, <strong>the</strong> impact of Riga is not <strong>in</strong>cluded <strong>in</strong> reported data, s<strong>in</strong>ceRiga is situated at <strong>the</strong> mouth of <strong>the</strong> <strong>Daugava</strong>. Consider<strong>in</strong>g <strong>the</strong> data from <strong>the</strong> 90’s, <strong>the</strong>reis little <strong>in</strong>formation on how <strong>the</strong> data series were compiled and where <strong>the</strong> sample stationis located.12