Regenerative Stormwater Conveyance Provides Needed Treatment for Runoff Volume, Peak Discharge, and Quality Control for New Development or Retrofitting Underserved Watersheds

2012 ◽  
Vol 2012 (5) ◽  
pp. 696-699
Author(s):  
Joe Berg ◽  
Keith Underwood
Keyword(s):  
Quality Control ◽  
Peak Discharge ◽  
Runoff Volume ◽  
New Development ◽  
Regenerative Stormwater Conveyance

scholarly journals Evaluation of Low Impact Development and Nature-Based Solutions for stormwater management: a fully distributed modelling approach

2019 ◽  
Author(s):  
Yangzi Qiu ◽  
Abdellah Ichiba ◽  
Igor Da Silva Rocha Paz ◽  
Feihu Chen ◽  
Pierre-Antoine Versini ◽  
...  
Keyword(s):  
High Resolution ◽  
Stormwater Management ◽  
Low Impact Development ◽  
Peak Discharge ◽  
Small Scale ◽  
Spatial Distributions ◽  
Land Uses ◽  
Runoff Volume ◽  
Total Runoff ◽  
Porous Pavement

Abstract. Currently, Low Impact Development (LID) and Nature-Based Solutions (NBS) are widely accepted as sustainable approaches for urban stormwater management. However, their complex impacts depend on the urban environmental context as well as the small-scale heterogeneity, which need to be assessed by using the fully distributed hydrological model and high resolution data at small scale. In this paper, a case study (Guyancourt), located in the South-West of Paris, was explored. Three sets of high resolution X-band radar data were applied to investigate the impact of variability of spatial distribution of rainfall. High resolution geographic information has been processed to identify the suitable areas that can be covered by the LID/NBS practices, porous pavement, green roof, and rain garden. These individual practices, as well as the combination of the three, were implemented as scenarios in a fully distributed and physically-based Multi-Hydro model, which takes into consideration the variability of the whole catchment at 10 m scale. The performance of LID/NBS scenarios are analysed with two indicators (total runoff volume and peak discharge reduction), with regards to the hydrological response of the original catchment (baseline scenario). Results are analysed with considering the coupling effect of the variability of spatial distributions of rainfall and land uses. The performance of rain garden scenario is better than scenario of green roof and porous pavement. The most efficient scenario is the combination of the three practices that can reduce total runoff volume up to 51 % and peak discharge up to 53 % in the whole catchment, and the maximum values of the two indictors in three sub-catchments reach to 60 % and 61 % respectively. The results give credence that Multi-Hydro is a promising model for evaluating and quantifying the spatial variability of hydrological responses of LID/NBS practices, because of considering the heterogeneity of spatial distributions of precipitation and land uses. Potentially, it can guide the decision-making process of the design of LID/NBS practices in urban planning.

scholarly journals Field Evaluation of Hydrologic and Water Quality Benefits of Perforated Paving Block Structure (P2BS)

2020 ◽  
Vol 202 ◽  
pp. 05010
Author(s):  
Suripin S ◽  
Sachro Sri Sangkawati ◽  
Atmojo Pranoto Samto ◽  
Edhisono Sutarto ◽  
Kurniani Dwi ◽  
...  
Keyword(s):  
Surface Runoff ◽  
Block Structure ◽  
Field Evaluation ◽  
Peak Discharge ◽  
Discharge Time ◽  
Soil Infiltration ◽  
Runoff Volume ◽  
Native Soil ◽  
Parking Lot

This paper discusses the use of perforated paving block structure (P2BS) as a pavement structure on the parking lot. Model of P2BS was developed in the field to analyze its capacity in reducing runoff and improving surface runoff quality. The depth and intensity of the rainfall is regulated with a rainfall simulator. The rate of native soil infiltration (natural) was tested with ring infiltrometer. The model's ability to reduce peak discharge and runoff volume, delay time, as well as improve quality of surface runoff was observed. The results show that proposed P2BS are able to significantly reduce runoff volume and peak discharge, delay start runoff and peak discharge time. It is also able to remove pollutants, especially TSS.

scholarly journals Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed

2018 ◽  
Vol 22 (9) ◽  
pp. 4685-4697 ◽  
Author(s):  
David R. Casson ◽  
Micha Werner ◽  
Albrecht Weerts ◽  
Dimitri Solomatine
Keyword(s):  
Snow Water Equivalent ◽  
European Space Agency ◽  
Peak Discharge ◽  
The European Union ◽  
Snowmelt Runoff ◽  
Streamflow Prediction ◽  
Runoff Volume ◽  
Space Agency ◽  
Snow Water ◽  
Spring Flow

Abstract. Hydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Global re-analysis datasets that provide gridded meteorological and SWE data may be well suited to improve hydrological assessment and snowpack simulation. To investigate representation of hydrological processes and SWE for application in hydropower operations, global re-analysis datasets covering 1979–2014 from the European Union FP7 eartH2Observe project are applied to global and local conceptual hydrological models. The recently developed Multi-Source Weighted-Ensemble Precipitation (MSWEP) and the WATCH Forcing Data applied to ERA-Interim data (WFDEI) are used to simulate snowpack accumulation, spring snowmelt volume and annual streamflow. The GlobSnow-2 SWE product funded by the European Space Agency with daily coverage from 1979 to 2014 is evaluated against in situ SWE measurement over the local watershed. Results demonstrate the successful application of global datasets for streamflow prediction, snowpack accumulation and snowmelt timing in a snowmelt-driven sub-Arctic watershed. The study was unable to demonstrate statistically significant correlations (p < 0.05) among the measured snowpack, global hydrological model and GlobSnow-2 SWE compared to snowmelt runoff volume or peak discharge. The GlobSnow-2 product is found to under-predict late-season snowpacks over the study area and shows a premature decline of SWE prior to the true onset of the snowmelt. Of the datasets tested, the MSWEP precipitation results in annual SWE estimates that are better predictors of snowmelt volume and peak discharge than the WFDEI or GlobSnow-2. This study demonstrates the operational and scientific utility of the global re-analysis datasets in the sub-Arctic, although knowledge gaps remain in global satellite-based datasets for snowpack representation, for example the relationship between passive-microwave-measured SWE to snowmelt runoff volume.

scholarly journals Verification of runoff volume, peak discharge and sediment yield simulated using the ACRU model for bare fallow and sugarcane fields

Water SA ◽  
2020 ◽  
Vol 46 (2 April) ◽  
Author(s):  
Daniel Otim ◽  
Jeff Smithers ◽  
Aidan Senzanje ◽  
Rianto van Antwerpen
Keyword(s):  
South Africa ◽  
Sediment Yield ◽  
Management Practices ◽  
Primary Objective ◽  
Model Verification ◽  
Peak Discharge ◽  
Time Step ◽  
Sugarcane Production ◽  
Runoff Volume ◽  
Bare Fallow

The Agricultural Catchments Research Unit (ACRU) model is a daily time step physical-conceptual agrohydrological model with various applications, design hydrology being one of them. Model verification is a measure of model performance and streamflow, soil water content and sediment yield simulated by the ACRU model have been extensively verified against observed data in southern Africa and internationally. The primary objective of this study was to verify simulated runoff volume, peak discharge and sediment yield against observed data from small catchments, under both bare fallow conditions and sugarcane production, which were located at La Mercy in South Africa. The study area comprised 4 research catchments, 101, 102, 103 and 104, monitored both under bare fallow conditions and sugarcane production, with different management practices per catchment.  Observed data comprised: daily rainfall, maximum and minimum temperature, A-pan evaporation and runoff for the period 1978–1995, and peak discharge and sediment yield for the period 1984–1995. The data were checked for errors and and inconsistent records excluded from analysis. Runoff volume, peak discharge and sediment yield were simulated with the ACRU model and verified against the respective observed data. In general, the correlations between observed and simulated daily runoff volumes and peak discharge were acceptable (i.e. slopes of regression lines close to unity, R2 ≥ 0.6 and the Nash–Sutcliffe coefficient of efficiency close to unity). Similarly, the correlation between observed and simulated sediment yield was also good. From the results obtained, it is concluded that the ACRU model is suitable for the simulation of runoff volume, peak discharge and sediment yield from catchments under both bare fallow and sugarcane land cover in South Africa.

scholarly journals Verification of runoff volume, peak discharge and sediment yield simulated using the ACRU model for bare fallow and sugarcane fields

Water SA ◽  
2020 ◽  
Vol 46 (2 April) ◽  
Author(s):  
Daniel Otim ◽  
Jeff Smithers ◽  
Aidan Senzanje ◽  
Rianto van Antwerpen
Keyword(s):  
South Africa ◽  
Sediment Yield ◽  
Management Practices ◽  
Primary Objective ◽  
Model Verification ◽  
Peak Discharge ◽  
Time Step ◽  
Sugarcane Production ◽  
Runoff Volume ◽  
Bare Fallow

The Agricultural Catchments Research Unit (ACRU) model is a daily time step physical-conceptual agrohydrological model with various applications, design hydrology being one of them. Model verification is a measure of model performance and streamflow, soil water content and sediment yield simulated by the ACRU model have been extensively verified against observed data in southern Africa and internationally. The primary objective of this study was to verify simulated runoff volume, peak discharge and sediment yield against observed data from small catchments, under both bare fallow conditions and sugarcane production, which were located at La Mercy in South Africa. The study area comprised 4 research catchments, 101, 102, 103 and 104, monitored both under bare fallow conditions and sugarcane production, with different management practices per catchment.  Observed data comprised: daily rainfall, maximum and minimum temperature, A-pan evaporation and runoff for the period 1978–1995, and peak discharge and sediment yield for the period 1984–1995. The data were checked for errors and and inconsistent records excluded from analysis. Runoff volume, peak discharge and sediment yield were simulated with the ACRU model and verified against the respective observed data. In general, the correlations between observed and simulated daily runoff volumes and peak discharge were acceptable (i.e. slopes of regression lines close to unity, R2 ≥ 0.6 and the Nash–Sutcliffe coefficient of efficiency close to unity). Similarly, the correlation between observed and simulated sediment yield was also good. From the results obtained, it is concluded that the ACRU model is suitable for the simulation of runoff volume, peak discharge and sediment yield from catchments under both bare fallow and sugarcane land cover in South Africa.

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