Tone Merete Muthanna

Dr. Tone Merete Muthanna

Department of Civil and Environmental Engineering,NTNU, Norway
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2017 in Ecological Engineering
Verified
Journal Article
Closed access
BJBirgitte Gisvold Johannessen
Birgitte Gisvold Johannessen
HHHans Martin Hanslin
Hans Martin Hanslin
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna

1 October 2007 in Water Research
Verified
Journal Article
Closed access
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna
MVMaria Viklander
Maria Viklander
GBGodecke Blecken
Godecke Blecken
STSveinn T. Thorolfsson
Sveinn T. Thorolfsson

1 November 2019 in Journal of Environmental Management
Verified
Journal Article
Open access
VHVladimír Hamouz
Vladimír Hamouz
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna
Rooftop retrofitting targets the largest land-use type available for reduction in impervious surfaces area in urban areas. Extensive green and grey roofs offer solution for retention and detention of stormwater in densely developed urban areas. Among the available green roof types, the extensive green roof has become a popular selection and commonly adopted choice. These solutions provide multiple benefits for stormwater and environmental management due to stormwater retention and detention capacities. The Storm Water Management Model (SWMM) 5.1.012 with Low Impact Development (LID) Controls was used to model the hydrological performance of a green and a grey (non-vegetated detention roof based on extruded lightweight aggregates) roof (located in the coastal area of Trondheim, Norway) by defining the physical parameters of individual layers in LID Control editor. High-resolution 1-min data from a previously monitored green and grey roof were used for calibration. Six parameters within the individual LID layers: soil (four parameters) and drainage mat (two parameters) were selected for calibration. After calibration, the SWMM model simulated runoff with a Nash-Sutcliffe model efficiency (NSME) of 0.94 (green roof) and 0.78 (grey roof) and a volume error of 3% for the green roof, and 10% for the grey roof. Validation of the calibrated model indicates good fit between observed and simulated runoff with a NSME of 0.88 (green roof) and 0.81 (grey roof) and with volume errors of 29% (green roof) and 11% (grey roof). Concerning the snowmelt modelling, the calibrated model showed a NSME of 0.56 (green roof) and 0.37 (grey roof) through the winter period. However, regarding volume errors, additional model development for winter conditions is needed; 30% (green roof) and 11% (grey roof). Optimal parameter sets were proposed within both the green and grey configurations. The results from calibration and especially validation indicated that SWMM could be used to simulate the performance of different rooftop solutions. The study provides insight for urban planners of how to target and focus the implementation of rooftop solutions as stormwater measures.

1 February 2019 in Journal of Hydrology
Verified
Journal Article
Closed access
BJBirgitte Gisvold Johannessen
Birgitte Gisvold Johannessen
VHVladimír Hamouz
Vladimír Hamouz
AGAshenafi Seifu Gragne
Ashenafi Seifu Gragne
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna

3 May 2007 in Water, Air, & Soil Pollution
Verified
Journal Article
Closed access
PDF file
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna
MVMaria Viklander
Maria Viklander
NGNina Gjesdahl
Nina Gjesdahl
STSveinn T. Thorolfsson
Sveinn T. Thorolfsson

10 September 2007 in Hydrological Processes
Verified
Journal Article
Closed access
PDF file
Tone Merete MuthannaTone Merete Muthanna
Tone Merete Muthanna
MVM. Viklander
M. Viklander
STS. T. Thorolfsson
S. T. Thorolfsson