An error was made in the definition of the density parameter ρ in Equations 7, 8 and 9 of the original article. It was defined as the bulk density of the aquifer, whereas it should have been the density of pore water. Additionally the density of the aquifer solid matrix ρs, used in equation 11 to compute the retardation factor, was not defined in the original article. The misuse of the bulk density instead of water density resulted in incorrect values of the computed thermal distribution coefficient, i.e. the bulk thermal diffusivity, and the retardation factor in Table 5. Some of the units were also incorrect. The corrected table is given here. (Table presented.) Parameters for heat transport simulation (corrected). Parametera Units Layers 1 2 3 4 5 6 7 8 - 0.30 0.30 0.30 0.30 0.30 0.30 0.30 0.30 kg/m3 1000 1000 1000 1000 1000 1000 1000 1000 ρs kg/m3 2643 2643 2643 2643 2643 2643 1571 2643 KT fluid W/(m˚C) 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 KT solid W/(m˚C) 0.40 1.30 2.40 2.40 1.80 2.40 1.70 2.40 KT bulk W/(m˚C) 0.45 1.08 1.85 1.85 1.43 1.85 1.36 1.85 Cp fluid J/ (kg ˚C) 4186 4186 4186 4186 4186 4186 4186 4186 Cp solid J/ (kg ˚C) 1255.8 1255.8 1255.8 1255.8 1255.8 1255.8 1255.8 1255.8 Dm_temp m2/d 0.031 0.075 0.128 0.128 0.099 0.128 0.094 0.128 Kd_temp m3/kg 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 Rd - 2.85 2.85 2.85 2.85 2.85 2.85 2.10 2.85 aρ is the density of pore water; ρs is the density of the aquifer solid matrix As a result, the sub-section ‘Temperature variations in the recovered water in wells’ should be corrected through stating the following: With a corrected retardation factor of 2.85, the average residence time of sources of water contributing to the wells is 74 days, which is sufficiently long to improve the water quality.@en

Managed aquifer recharge (MAR) is increasingly used to secure drinking water supply worldwide. The city of Amsterdam (The Netherlands) depends largely on the MAR in coastal dunes for water supply. A new MAR scheme is proposed for the production of 10 × 106 m3/year, as required in the next decade. The designed MAR system consists of 10 infiltration ponds in an artificially created sandbank, and 25 recovery wells placed beneath the ponds in a productive aquifer. Several criteria were met for the design, such as a minimum residence time of 60 days and maximum drawdown of 5 cm. Steady-state and transient flow models were calibrated. The flow model computed the infiltration capacity of the ponds and drawdowns caused by the MAR. A hypothetical tracer transport model was used to compute the travel times from the ponds to the wells and recovery efficiency of the wells. The results demonstrated that 98% of the infiltrated water was captured by the recovery wells which accounted for 65.3% of the total abstraction. Other sources include recharge from precipitation (6.7%), leakages from surface water (13.1%), and natural groundwater reserve (14.9%). Sensitivity analysis indicated that the pond conductance and hydraulic conductivity of the sand aquifer in between the ponds and wells are important for the infiltration capacity. The temperature simulation showed that the recovered water in the wells has a stable temperature of 9.8–12.5 °C which is beneficial for post-treatment processes. The numerical modelling approach is useful and helps to gain insights for implementation of the MAR.@en

Dune slacks are low-lying, nutrient-poor, species-rich, inter-dunal, seasonally flooded wetlands, are amongst the most threatened habitats in the Dutch coastal dunes. Since 1853 Waternet has been extracting groundwater from the coastal dunes southwest of Haarlem to produce its drinking water. Dune slacks largely disappeared due to the desiccation caused by this water abstraction, over more than a century biodiversity declined as a consequence. Increased societal concern pushed habitat restoration high on the political agenda by the end of the 1980s. It was agreed to do what is possible to restore original dune slacks without endangering the water supply. Far reaching interventions in the dune water system were foreseen to achieve this mutual goal. To allow reliable decision making, the entire hydrological history of the drinking water production in the Amsterdam Dunes since 1853 and its ecological consequences were evaluated over a 10-year study period. The main tool was a 3D groundwater model constructed using all information gathered to date and calibrated using the long-term monitoring data available and widely extended for the purpose, to which ecological modeling was added and calibrated with the available long-term and extended vegetational inventories. These scientific tools were used to assess proposed interventions to be decided upon, which aimed at finding a new balance between groundwater extraction and nature restoration. In 1996 and 2007 large-scale measures were taken, which include filling in of recovery canals, mowing, grazing and sod-cutting to support the native plant communities of wet dune slack habitats. Results of these measures in terms of the restoration of natural hydrological conditions are shown together with the first results for the recovery of wet slacks vegetation that resulted from the combined hydrological and ecological restoration measures that were taken since 1995.@en