Your search found 2 records
1 Geertz, C.; Geertz, H.; Rosen, L.. 1979. Meaning and order in Moroccan society: Three essays in cultural analysis. Cambridge, UK: CUP. xi, 510 p.
Sociological analysis ; Anthropology / Morocco
(Location: IWMI-HQ Call no: 301 G236 GER Record No: H02719)

2 Saletti, A. O.; Lindhe, A.; Soderqvist, T.; Rosen, L.. 2023. Cost to society from infiltration and inflow to wastewater systems. Water Research, 229:119505. [doi: https://doi.org/10.1016/j.watres.2022.119505]
Waste water treatment plants ; Infiltration ; Decision support ; Cost benefit analysis ; Uncertainty ; Pumping ; Sensitivity analysis ; Investment funds ; Sewage ; Case studies / Sweden / Gothenburg
(Location: IWMI HQ Call no: e-copy only Record No: H051594)
https://www.sciencedirect.com/science/article/pii/S0043135422014506/pdfft?md5=4ed4399df45c84ca13a27d9129ed265c&pid=1-s2.0-S0043135422014506-main.pdf
https://vlibrary.iwmi.org/pdf/H051594.pdf
(1.73 MB) (1.73 MB)
Water from infiltration and inflow to wastewater systems is an extensive problem causing costs to society in various ways. Comprehensive methods for supporting decisions on how to efficiently mitigate the problems in a sustainable manner are, however, missing today. This paper presents a novel risk-based model to assess the cost to society from infiltration and inflow to wastewater systems by monetising effects related to treatment of wastewater, pumping, combined sewer overflows, and basement flooding. The present value is calculated for a specified time horizon and discount rate, using a cost-benefit analysis approach. To acknowledge the various uncertainties, a probabilistic approach is applied where probability distributions represent the input variables. The model is shown to be applicable by illustrating its use in a case study area in Gothenburg, Sweden. Main results from the case study show that most of the costs are related to investments at the wastewater treatment plant and restoration due to basement flooding events. Sensitivity analyses show that the result is highly dependent on factors such as the volume of infiltration and inflow water, the share of basement flooding, and the discount rate. Using expert elicitation to quantify input data is also illustrated and shown to be a valuable method. The presented model fills an important research knowledge gap and will facilitate a more sustainable and comprehensive handling of water from infiltration and inflow.

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