%0 Journal Article %1 maschler2019decision %A Maschler, Tobias %A Stürmer-Stephan, Bastian %A Morhard, Jörg %A Stegmaier, Thomas %A Tilebein, Meike %A Griepentrog, Hans W. %D 2019 %J Annals of Operations Research %K 0_Journal from:puma-ids-group maschler stegmaier tilebein %P 577–600 %R 10.1007/s10479-019-03401-0 %T A decision support method for designing vegetation layers with minimised irrigation need (first published 2019, final publishing 2022) %U https://doi.org/10.1007/s10479-019-03401-0 %V 314 (1) %X Selecting a vegetation layer design goes along with determining its future irrigation need. Therefore, it is essential to take a design decision that is minimising the cumulated construction and irrigation costs in a given depreciation period. This contribution showcases a decision support approach using long term weathering time series and soil water balances with example data for turf soccer fields in six German regions. The approach relies on minimising both material and irrigation costs by modifying soil layer design parameters; here the layer thickness and therefore its water retention capacity. E.g. suggested layer thicknesses between 200 and 250 mm for Stuttgart lead over 10–40 year depreciation periods to estimated substrate and water cost savings between 90 and 194% in comparison to a standard substrate layer thickness of 80 mm. For practical applications, the presented theoretical approach needs to be adapted with the usable soil water storage capacity and relationships describing evapotranspiration for given substrate-turfgrass combinations.

@article{maschler2019decision, abstract = {Selecting a vegetation layer design goes along with determining its future irrigation need. Therefore, it is essential to take a design decision that is minimising the cumulated construction and irrigation costs in a given depreciation period. This contribution showcases a decision support approach using long term weathering time series and soil water balances with example data for turf soccer fields in six German regions. The approach relies on minimising both material and irrigation costs by modifying soil layer design parameters; here the layer thickness and therefore its water retention capacity. E.g. suggested layer thicknesses between 200 and 250 mm for Stuttgart lead over 10–40 year depreciation periods to estimated substrate and water cost savings between 90 and 194% in comparison to a standard substrate layer thickness of 80 mm. For practical applications, the presented theoretical approach needs to be adapted with the usable soil water storage capacity and relationships describing evapotranspiration for given substrate-turfgrass combinations.}, added-at = {2020-04-14T12:18:25.000+0200}, author = {Maschler, Tobias and Stürmer-Stephan, Bastian and Morhard, Jörg and Stegmaier, Thomas and Tilebein, Meike and Griepentrog, Hans W.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a02ff4b01f7203ca6d08d5cdcf97f3b9/ids}, doi = {10.1007/s10479-019-03401-0}, interhash = {8c7e388f795ce363e981df5cdbf6b9a8}, intrahash = {a02ff4b01f7203ca6d08d5cdcf97f3b9}, issn = {0254-5330}, journal = {Annals of Operations Research}, keywords = {0_Journal from:puma-ids-group maschler stegmaier tilebein}, month = {09}, pages = {577–600}, timestamp = {2024-01-26T19:26:22.000+0100}, title = {A decision support method for designing vegetation layers with minimised irrigation need (first published 2019, final publishing 2022)}, url = {https://doi.org/10.1007/s10479-019-03401-0}, volume = {314 (1)}, year = 2019 }