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Groundwater bodies, chemical characterisation and monitoring for the Water Framework Directive C.R. Meinardi, RIVM
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 2 The European Water Framework Directive; elaboration for groundwater; choices made Relation GWB characterisation and risk assessment; Delineation of GWB in the Netherlands; Groundwater quality monitoring networks; Quality stratification and compliance checking levels; Fluxes from the soil to draining surface water; Discussion on risk assessment and trend analysis.
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 3 Groundwater in the central Netherlands; blocks of roughly 20*20 km 2 * 200m high
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 4 Explanation on GWB for the Netherlands GWB for sandy aquifers GWB cover all sandy aquifers from land surface to a practically impervious base at freatic aquifers, or from the base of clay layers to the impervious base in areas covered by Holocene sediments
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 5 Proposal for a division in GWB GWB are distinct water masses in one or more aquifers, with a status, which can be defined in relation to WFD objectives; Criteria for GWB; Hydrogeological situation; Status and protection; Water management aspects; Conclusion: minimum 20 GWB; 7 sandy aquifers + 7 clay/ peat aquifers +1 limestone aquifer + 4 sandy aquifers in dune areas +1 deep GWB in Scheldt region
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 6 Extra GWB in clay- and peat layers GWB for the upper aquifers in clay and peat layers The surficial layer (a few meters of the clay/peat) discharging the rainfall excess is an aquifer, acc. to WFD definitions. It is a distinct mass of groundwater, influencing ecosystems and, thereby, a GWB
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 7 ACTUAL SOIL AND GROUNDWATER MONITORING NETWORKS AND THEIR USE 1 Soil: national soil quality monitoring, LMB 2 Upper groundwater (down to 1m below grw. level) –Agriculture: LMM (Monitoring the effectiveness of the Dutch minerals policy –Natural vegetation TMV (ditto for natural vegetation) 3 Shallow groundwater (ca. l.s. - 10 m): LMG; PMG –National and Provincial Groundwater Quality Networks 4 Intermediate groundwater (ca. l.s. - 25 m): –National and Provincial Groundwater Quality Networks 5 Deep groundwater (at depth of abstraction): –Data on raw water from water supply companies Monitoring levels 3), 4), 5) for compliance checking
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 8 Groundwater quality monitoring networks Parameters analysed each year: Major components Ca; Cl; HCO 3 ; K; Mg; Mn; Na; NH 4 ; NO - ; O 2 ; P; SO 4 Trace elements: Al; As; Ba; Cd; Cr; Cu; Ni; Pb; Sr; Zn 8m 10m 13m 15m 23m 25m Land surface National and provincial monitoring systems at varying levels in the soil; groundwater quality characterisationNational and provincial monitoring systems at varying levels in the soil; groundwater quality characterisation 1m 1.5m LMM, TMV, LMB LMG, PMG; scr. 1 LMG, PMG; scr. 2 LMG, PMG; scr. 3 Water supply wells.
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 9 Nitrate in groundwater in sandy areas (agriculture) and surface waters Surface water Groundwater
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 10 Average nitrate concentrations in 1990-2000 as a function of travel times in the soil Travel times computed with tritium ( 3 H) year of infiltration = sampling year - travel time Conclusion: denitrification is predominant in upper layers
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 11 Observation wells of the National Groundwater Quality Monitoring Network
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 12 Nitrate concentrations in the Grw. Qual. Mon. Netw. (period 1998-2002)
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 13 LMM Ex-post monitor programme LMM Ex-post monitor programme m Regions m Types of agriculture m Monitoring on farm of: 1 Farm management (290 farms) 2Water quality (160 farms) m ‘Moving sample’ 15% replacement
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 14 Upper groundwater sampling in the sandy regions Number of boreholes per farm 1992-1994: 48 1995-2000: 16
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 15 Groundwater quality in the upper (l.s.-1m) groundwater in sandy areas (1998-2002) Extrapolation of measured data to cells of 500 by 500 m 2 ; periode1998-2002 agricultural data: from LMM data natural vegetation: from TMV
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 16 Using modules for the description of groundwater qualitative aspects groundwater quality in the upper 1m in rural areas based on extrapolation of monitoring data to 500*500 m 2 cells; shallow groundwater quality (10-25m) based on extrapolation of monitoring data to larger areas (see Figure); deep groundwater quality (travel time t> 50a) fresh groundwater = basic values, plus abstraction data; brackish groundwater by mapping the fresh/brackish interface urban groundwater specific description
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 17 The flux of water and chemicals from soil to draining surface water in sandy areas NPKRUN MODEL WITH DETERMINATION OF long-year averages of precipitation and actual evapotranspiration surficial flow components, overland flow and interflow groundwater recharge and travel times average flux from varying routes to surface water
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 18 Nitrate in the upper groundwater 1992-2002
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WFD; Groundwater bodies and characterisation | C.R. Meinardi 19 Discussion/ conclusions Large groundwater bodies are distinct water masses and are in line with technical and administrative boundaries; Quality stratification depends on travel times in many cases; no separate GWB needed for quality variations; Three compliance checking levels proposed: –land surface minus 10 m –land surface minus 25 m –abstraction levels for public supply Early warning level at land surface -1m, to be used for: –risk assessment –trend analysis
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