Detailed Design of Wetland Features in the Existing Willow Hills Storm Water Pond, Patuxent Watershed, Maryland

2001 ◽  
Author(s):  
Lawrence Owoputi ◽  
Guy Amos ◽  
Leslie Flanagan
Keyword(s):  
Storm Water ◽  
Detailed Design ◽  
Water Pond

Pollutants Removal in Storm Water Pond

InCIEC 2014 ◽  
2015 ◽  
pp. 1037-1041
Author(s):  
Z. Mohd-Zaki ◽  
N. Manan ◽  
A. Amir ◽  
A. Baki
Keyword(s):  
Storm Water ◽  
Water Pond ◽  
Pollutants Removal

Phosphorus Partitioning in a Storm Water Pond

2015 ◽  
Vol 131 (2) ◽  
pp. 25-28 ◽  
Author(s):  
Lawrence B. Cahoon ◽  
Michael A. Boller ◽  
Marc O. de Labry ◽  
Chandler A. Kosh ◽  
Matthew D. McDowell ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Aquatic Macrophytes ◽  
Storm Water ◽  
Detention Ponds ◽  
Nutrient Control ◽  
Stuckenia Pectinata ◽  
Water Pond ◽  
Marginal Effectiveness ◽  
Total P ◽  
Phosphorus Partitioning

Abstract Storm water ponds are commonly employed to trap sediments, nutrients and other pollutants in non-point runoff. Aquatic macrophytes are thought to offer enhanced nutrient control via nutrient uptake and other processes. This study sampled and compared the phosphorus contents of water, sediment, and a dominant macrophyte, Stuckenia pectinata (Sago Pond Weed), in a storm water detention pond in the fall of 2013 and 2014. Phosphorus concentrations [ug P (g material)−1] were much higher in macrophyte tissues than in sediment and water, but the areal amounts of phosphorus (mg P m−2) bound in these three forms were ranked differently: sediment>>water>macrophyte, with macrophyte-bound P accounting for only <1–2% of total P in this pond. Macrophyte management may, therefore, have only marginal effectiveness in nutrient control by storm water detention ponds, although macrophytes support a variety of other ecosystem services.

Impact of Wind on Storm-Water Pond Hydraulics

2016 ◽  
Vol 142 (10) ◽  
pp. 04016034 ◽  
Author(s):  
Hrund Ólöf Andradóttir ◽  
Marie-Léonie Mortamet
Keyword(s):  
Storm Water ◽  
Water Pond

The methods of a research of processes of spontaneous socialization based on post-nonclassical approach

2020 ◽  
Vol 22 (10) ◽  
pp. 4-8
Author(s):  
Raschetina S.A.
Keyword(s):  
Social Reality ◽  
Social Situation ◽  
Search Method ◽  
Detailed Design ◽  
The Social ◽  
The Cross

The detailed design implemented according to a grant of the Russian Federal Property Fund is focused on the solution of the cross-disciplinary humanitarian problem connected with the analysis of purposeful and sponta-neous processes of socialization of the child, and specif-ic characteristics of the social and pedagogical activity aimed at harmonization of the relations "the child - so-ciety" in modern unstable public conditions. The frag-ment of a research of processes of spontaneous sociali-zation of the child connected with the estimated dis-course presented in a social situation of its development is reflected in article. In it short characteristic of the post-nonclassical methodology focused on the analysis of chaotic conditions of social reality and essence of the person who acts as the language personality who is not existing "to language" is presented. Possibilities of post-nonclassical methodology in a research of a phenome-non purposeful - spontaneous socialization of the child are characterized. In article the specifics of the social and pedagogical activity aimed at harmonization of the relations "the child - society are disclosed from a posi-tion of post-nonclassical approach", the place of a re-search method in its structure is revealed.

Detailed Design of The Urban Tunnels Under Las Glorias Square, Barcelona

2017 ◽  
Vol 109 (2) ◽  
pp. 3515-3521
Author(s):  
Javier Rui-Wamba ◽  
Carlos García ◽  
Miguel Bañares ◽  
Javier Nieto ◽  
Luis Castro ◽  
...  
Keyword(s):  
Detailed Design

Evaluating a Sewershed Urban Storm Water Model for Variability in Parameter Sensitivity and Resolution Effects

2020 ◽  
Author(s):  
Zhaokai Dong ◽  
Daniel Bain ◽  
Murat Akcakaya ◽  
Carla Ng
Keyword(s):  
Pipe Flow ◽  
Peak Flow ◽  
Model Performance ◽  
Parameter Sensitivity ◽  
Geometric Parameters ◽  
Storm Water ◽  
Parameter Estimates ◽  
Kappa Statistics ◽  
Thiessen Polygon ◽  
Urban Storm

A high-quality parameter set is essential for reliable stormwater models. Model performance can be improved by optimizing initial parameter estimates. Parameter sensitivity analysis is a robust way to distinguish the influence of parameters on model output and efficiently target the most important parameters to modify. This study evaluates efficient construction of a sewershed model using relatively low-resolution (e.g., 30 meter DEM) data and explores model sensitivity to parameters and regional characteristics using the EPA’s Storm Water Management Model (SWMM). A SWMM model was developed for a sewershed in the City of Pittsburgh, where stormwater management is a critical concern. We assumed uniform or log-normal distributions for parameters and used Monte Carlo simulations to explore and rank the influence of parameters on predicted surface runoff, peak flow, maximum pipe flow and model performance, as measured using the Nash–Sutcliffe efficiency metric. By using the Thiessen polygon approach for sub-catchment delineations, we substantially simplified the parameterization of the areas and hydraulic parameters. Despite this simplification, our approach provided good agreement with monitored pipe flow (Nash–Sutcliffe efficiency: 0.41 – 0.85). Total runoff and peak flow were very sensitive to the model discretization. The size of the polygons (modeled subcatchment areas) and imperviousness had the most influence on both outputs. The imperviousness, infiltration and Manning’s roughness (in the pervious area) contributed strongly to the Nash-Sutcliffe efficiency (70%), as did pipe geometric parameters (92%). Parameter rank sets were compared by using kappa statistics between any two model elements to identify generalities. Within our relatively large (9.7 km^2) sewershed, optimizing parameters for the highly impervious (>50%) areas and larger pipes lower in the network contributed most to improving Nash–Sutcliffe efficiency. The geometric parameters influence the water quantity distribution and flow conveyance, while imperviousness determines the subcatchment subdivision and influences surface water generation. Application of the Thiessen polygon approach can simplify the construction of large-scale urban storm water models, but the model is sensitive to the sewer network configuration and care must be taken in parameterizing areas (polygons) with heterogenous land uses.

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