scholarly journals Measurements of the water balance components of a large green roof in the greater Paris area

2020 ◽  
Vol 12 (2) ◽  
pp. 1025-1035 ◽  
Author(s):  
Pierre-Antoine Versini ◽  
Filip Stanic ◽  
Auguste Gires ◽  
Daniel Schertzer ◽  
Ioulia Tchiguirinskaia
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Green Roof ◽  
Rainfall Event ◽  
Storm Water ◽  
Monitoring Site ◽  
Water Balance Components ◽  
Data Set ◽  
Paris Area ◽  
Substrate Heterogeneity

Abstract. The Blue Green Wave of Champs-sur-Marne (France) represents the largest green roof (1 ha) of the greater Paris area. The Hydrology, Meteorology and Complexity lab of École des Ponts ParisTech has chosen to convert this architectural building into a full-scale monitoring site devoted to studying the performance of green infrastructures in storm-water management. For this purpose, the relevant components of the water balance during a rainfall event have been monitored: rainfall, water content in the substrate, and the discharge flowing out of the infrastructure. Data provided by adapted measurement sensors were collected during 78 d between February and May 2018. The related raw data and a Python program transforming them into hydrological quantities and providing some preliminary elements of analysis have been made available. These measurements are useful to better understand the hydrological processes (infiltration and retention) conducting green roof performance and their spatial variability due to substrate heterogeneity. The data set is available here: https://doi.org/10.5281/zenodo.3687775 (Versini et al., 2019b).

scholarly journals Measurement of the water balance components of a large green roof in Greater Paris Area

2019 ◽  
Author(s):  
Pierre-Antoine Versini ◽  
Filip Stanic ◽  
Auguste Gires ◽  
Daniel Scherzer ◽  
Ioulia Tchiguirinskaia
Keyword(s):  
Water Balance ◽  
Spatial Variability ◽  
Stormwater Management ◽  
Green Roof ◽  
Rainfall Event ◽  
Monitoring Site ◽  
Water Balance Components ◽  
Data Set ◽  
Paris Area ◽  
Substrate Heterogeneity

Abstract. The Blue Green Wave of Champs-sur-Marne (France) represents the largest green roof (1 ha) of the Greater Paris Area. The Hydrology, Meteorology and Complexity lab of Ecole des Ponts ParisTech has chosen to convert this architectural building as a full-scale monitoring site devoted to study the performances of green infrastructures in stormwater management. For this purpose, the relevant components of the water balance during a rainfall event have been monitored: rainfall, water content in the substrate and the discharge flowing out of the infrastructure. Data provided by adapted measurement sensors were collected during 78 days between February and May 2018. The related raw data and a python program transforming them into hydrological quantities and providing some first elements of analysis have been made available. These measurements are useful to better understand the processes (infiltration and retention) conducted their hydrological performances, and their spatial variability due to substrate heterogeneity. Link to the data set (Versini et al., 2019): https://doi.org/10.5281/zenodo.3467300 (doi:10.5281/zenodo.3467300).

scholarly journals Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

2021 ◽  
Author(s):  
Ömer Ekmekcioğlu ◽  
Muhammet Yılmaz ◽  
Mehmet Özger ◽  
Fatih Tosunoğlu
Keyword(s):  
Water Management ◽  
Model Calibration ◽  
Low Impact Development ◽  
Green Roof ◽  
Computational Cost ◽  
Storm Water ◽  
Storm Event ◽  
Efficiency Coefficient ◽  
Storm Water Management ◽  
Permeable Pavements

Abstract This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100-years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and the runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10-years return period of a storm event in the combination scenario.

QUANTIFYING WATER BALANCE OF SUBAK PADDY FIELD BASED ON CONTINUOUS FIELD MONITORING

2015 ◽  
Vol 76 (15) ◽  
Author(s):  
Satyanto K. Saptomo ◽  
Yudi Chadirin ◽  
Budi I. Setiawan ◽  
I Wayan Budiasa ◽  
Hisaaki Kato ◽  
...  
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Paddy Field ◽  
Water Status ◽  
Water Discharge ◽  
Water Source ◽  
Field Monitoring ◽  
Water Diversion ◽  
Water Balance Components ◽  
Gate Operation

Subak had been known as superior and sustainable water management system in Bali’s paddy field, and had a long history as an interesting topic for study. Water management in Subak is more or less based on religious practices and the philosophy of the harmony among God, human and nature, that ensures equity and sufficiency of water diversion. Traditionally there is no water regulation in the meaning of gate operation as most Subak has their own water source from definite location, and fixed system was used for water diversion that defined portion of water discharge and not quantity. In this study, field monitoring system had been set up to continuously observe the water balance components such as: rainfall, evapotranspiration, percolation, field water status. With the available data, water balance equation can be used to obtain net inflow, which in this case only minimum, median and maximum for each particular month. These values were used to summarize total annual net inflow to the field, which ranges from 4575 to 7419 mm.  This is accounted as total water use for rice production at the site and generally it can be concluded as the amount of water required to sustain the present paddy field of the Subak.

scholarly journals Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions

2020 ◽  
Vol 24 (2) ◽  
pp. 735-759 ◽  
Author(s):  
M. Shahabul Alam ◽  
S. Lee Barbour ◽  
Mingbin Huang
Keyword(s):  
Water Balance ◽  
Oil Sands ◽  
Monitoring Site ◽  
Hydraulic Parameters ◽  
Oil Sand ◽  
Water Balance Components ◽  
Area Index ◽  
Parameter Values ◽  
The Impact

Abstract. One technique to evaluate the performance of oil sands reclamation covers is through the simulation of long-term water balance using calibrated soil–vegetation–atmosphere transfer models. Conventional practice has been to derive a single set of optimized hydraulic parameters through inverse modelling (IM) based on short-term (<5–10 years) monitoring datasets. This approach is unable to characterize the impact of variability in the cover properties. This study utilizes IM to optimize the hydraulic properties for 12 soil cover designs, replicated in triplicate, at Syncrude's Aurora North mine site. The hydraulic parameters for three soil types (peat cover soil, coarse-textured subsoil, and lean oil sand substrate) were optimized at each monitoring site from 2013 to 2016. The resulting 155 optimized parameter values were used to define distributions for each parameter/soil type, while the progressive Latin hypercube sampling (PLHS) method was used to sample parameter values randomly from the optimized parameter distributions. Water balance models with the sampled parameter sets were used to evaluate variations in the maximum sustainable leaf area index (LAI) for five illustrative covers and quantify uncertainty associated with long-term water balance components and LAI values. Overall, the PLHS method was able to better capture broader variability in the water balance components than a discrete interval sampling method. The results also highlight that climate variability dominates the simulated variability in actual evapotranspiration and that climate and parameter uncertainty have a similar influence on the variability in net percolation.

scholarly journals Seasonal effects of controlled drainage on field water balance and groundwater levels

2021 ◽  
Author(s):  
Heidi Salo ◽  
Aleksi Salla ◽  
Harri Koivusalo
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Model Performance ◽  
Shallow Groundwater ◽  
Seasonal Effects ◽  
Controlled Drainage ◽  
Management Options ◽  
Data Set ◽  
Groundwater Levels ◽  
Field Water Balance

Abstract Adaptive water management solutions such as controlled drainage have raised interest in Nordic areas due to climate variability. It is not fully known how controlled drainage affects seasonal field water balance or can help in preventing water scarcity during dry growing seasons (GSs). The objective was to simulate the effects of controlled drainage on field hydrology using a well-tested, process-based hydrological model. The FLUSH model was calibrated and validated to an experimental field. The model performance with non-local input data was moderate but acceptable for running the controlled drainage scenarios to test the response of the water management method to meteorological forcing. Simulation results showed that controlled drainage reduced drain discharge while increasing surface layer runoff and shallow groundwater outflow. Groundwater depths from the scenario simulations demonstrated that controlled drainage could keep the depth closer to the soil surface, but the effect diminished during the dry conditions. Controlled drainage can be used to change the water flow pathways but has a secondary effect compared with the primary meteorological drivers. The field data set and FLUSH formed a novel computational platform to study the impacts of different water management options on the whole water balance and spatial variability of groundwater depths.

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