scholarly journals An Integrated Hydraulic and Hydrologic Modeling Approach for Roadside Bio-Retention Facilities

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1248 ◽  
Author(s):  
James Li ◽  
Seyed Alinaghian ◽  
Darko Joksimovic ◽  
Lianghao Chen
Keyword(s):  
Fluid Dynamic ◽  
Low Impact Development ◽  
Hydrologic Model ◽  
Effective Length ◽  
Integrated Modelling ◽  
Storm Event ◽  
Control Performance ◽  
Hydrologic Modelling ◽  
Runoff Control ◽  
Modelling Approach

Roadside bio-retention (RBR) facilities are low impact development practices, which control urban runoff primarily from road pavements. Using hydrologic models, such as the US EPA Storm Water Management Model (SWMM), RBR are typically designed with some fundamental assumptions, including where runoff completely enters the facilities and fully utilizes the whole surface area for percolation, detention, filtration, and infiltration to the surrounding soils. This paper highlights the importance of inlet hydraulics and the spatial distribution of inflow along a RBR, and proposes an integrated hydraulic and hydrologic modelling approach to simulate its overall runoff control performance. The integrated hydraulic/hydrologic modelling approach consists of three components: (1) A dual drainage hydrologic model to simulate runoff generation, runoff hydrographs entering and bypassing a storm inlet, and the outflow hydrograph from a fully utilized RBR; (2) a computational fluid dynamic model to determine the inflow distribution along a RBR; and (3) an overall runoff control performance analysis of RBR by considering the inlet efficiency, and the partially and fully utilized RBR during a storm event. A case study of an underground RBR in the City of Toronto was used to demonstrate the integrated modelling approach. It is concluded that; (1) inlet efficiency of a RBR will determine the overall runoff control performance; and (2) the inflow distribution will dictate the effective length of a RBR, which may affect the overall runoff control performance.

A new methodology for surcharge risk management in urban areas (case study: Gonbad-e-Kavus city)

2016 ◽  
Vol 75 (4) ◽  
pp. 823-832 ◽  
Author(s):  
Farhad Hooshyaripor ◽  
Jafar Yazdi
Keyword(s):  
Urban Areas ◽  
Pareto Front ◽  
Low Impact Development ◽  
Optimal Solution ◽  
Curve Number ◽  
Hydrologic Model ◽  
Storm Event ◽  
Nsga Ii ◽  
Urban Flood ◽  
Conflicting Objectives

This research presents a simulation-optimization model for urban flood mitigation integrating Non-dominated Sorting Genetic Algorithm (NSGA-II) with Storm Water Management Model (SWMM) hydraulic model under a curve number-based hydrologic model of low impact development technologies in Gonbad-e-Kavus, a small city in the north of Iran. In the developed model, the best performance of the system relies on the optimal layout and capacity of retention ponds over the study area in order to reduce surcharge from the manholes underlying a set of storm event loads, while the available investment plays a restricting role. Thus, there is a multi-objective optimization problem with two conflicting objectives solved successfully by NSGA-II to find a set of optimal solutions known as the Pareto front. In order to analyze the results, a new factor, investment priority index (IPI), is defined which shows the risk of surcharging over the network and priority of the mitigation actions. The IPI is calculated using the probability of pond selection for candidate locations and average depth of the ponds in all Pareto front solutions. The IPI can help the decision makers to arrange a long-term progressive plan with the priority of high-risk areas when an optimal solution has been selected.

scholarly journals Local sensitivity analysis for compositional data with application to soil texture in hydrologic modelling

2013 ◽  
Vol 17 (2) ◽  
pp. 461-478 ◽  
Author(s):  
L. Loosvelt ◽  
H. Vernieuwe ◽  
V. R. N. Pauwels ◽  
B. De Baets ◽  
N. E. C. Verhoest
Keyword(s):  
Sensitivity Analysis ◽  
Soil Texture ◽  
Compositional Data ◽  
High Sensitivity ◽  
Hydrologic Model ◽  
Model Output ◽  
Local Sensitivity ◽  
Hydrologic Modelling ◽  
Compositional Model ◽  
Additional Data Collection

Abstract. Compositional data, such as soil texture, are hard to deal with in the geosciences as standard statistical methods are often inappropriate to analyse this type of data. Especially in sensitivity analysis, the closed character of the data is often ignored. To that end, we developed a method to assess the local sensitivity of a model output with resect to a compositional model input. We adapted the finite difference technique such that the different parts of the input are perturbed simultaneously while the closed character of the data is preserved. This method was applied to a hydrologic model and the sensitivity of the simulated soil moisture content to local changes in soil texture was assessed. Based on a high number of model runs, in which the soil texture was varied across the entire texture triangle, we identified zones of high sensitivity in the texture triangle. In such zones, the model output uncertainty induced by the discrepancy between the scale of measurement and the scale of model application, is advised to be reduced through additional data collection. Furthermore, the sensitivity analysis provided more insight into the hydrologic model behaviour as it revealed how the model sensitivity is related to the shape of the soil moistureretention curve.

Predictably Predictable -  The Role of Catchment Characteristics and Complexity.

2021 ◽  
Author(s):  
Sophia Eugeni ◽  
Eric Vaags ◽  
Steven V. Weijs
Keyword(s):  
Water Resource Management ◽  
Performance Metrics ◽  
Complexity Analysis ◽  
Model Performance ◽  
Principal Component ◽  
The United States ◽  
Hydrologic Model ◽  
Hydrologic Models ◽  
Hydrologic Modelling

<p>Accurate hydrologic modelling is critical to effective water resource management. As catchment attributes strongly influence the hydrologic behaviors in an area, they can be used to inform hydrologic models to better predict the discharge in a basin. Some basins may be more difficult to accurately predict than others. The difficulty in predicting discharge may also be related to the complexity of the discharge signal. The study establishes the relationship between a catchment’s static attributes and hydrologic model performance in those catchments, and also investigates the link to complexity, which we quantify with measures of compressibility based in information theory. </p><p>The project analyzes a large national dataset, comprised of catchment attributes for basins across the United States, paired with established performance metrics for corresponding hydrologic models. Principal Component Analysis (PCA) was completed on the catchment attributes data to determine the strongest modes in the input. The basins were clustered according to their catchment attributes and the performance within the clusters was compared. </p><p>Significant differences in model performance emerged between the clusters of basins. For the complexity analysis, details of the implementation and technical challenges will be discussed, as well as preliminary results.</p>

scholarly journals Effects of rainfall-runoff pollution on eutrophication in coastal zone: a case study in Shenzhen Bay, southern China

2019 ◽  
Vol 50 (4) ◽  
pp. 1062-1075 ◽  
Author(s):  
Hongliang Xu ◽  
Ying Zhang ◽  
Xiuzhen Zhu ◽  
Mingfeng Zheng
Keyword(s):  
Coastal Zone ◽  
Southern China ◽  
Fluid Dynamic ◽  
Storm Event ◽  
Rainfall Runoff ◽  
Pollution Load ◽  
Nitrogen And Phosphorus ◽  
Urban Catchments ◽  
Pollution Loads ◽  
Runoff Pollution

Abstract The concentration of human activities in coastal cities results in the increase of nutrient salts released into the coastal environment and is identified as a major environmental problem for coastal zone management. Large amounts of nitrogen and phosphorus are transported by rainwater-runoff from urban catchments to coastal zones during episodic rainfall events inducing eutrophication problems and increasing the risk of red tide occurrence. This study used a coupled model based on the Storm Water Management Model (SWMM) and Environment Fluid Dynamic Code (EFDC) to simulate the rainfall-runoff pollution load and its effects on eutrophication in Shenzhen Bay, southern China. A storm event of 2014 was used to build the modeling scenarios and thus analyzed the spatial-temporal variation of the rainfall-runoff pollution. The results indicated that: (i) rainfall-runoff pollution loads accounted for 60–80% of the total pollution loads, and rainfall-runoff pollution can result in a short-term impact pollution load on the receiving seawater body; (ii) the transportation of nutrient salts in the coastal zone and the nutrient salts absorbing process by algae are at different times, which suggests urban rainfall-runoff pollution has evidently an effect on variation of the concentration of chlorophyll-A in the bay, and with increasing distance to the city, the seawater body is gradually less affected by rainfall-runoff pollution.

scholarly journals An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China

2020 ◽  
Vol 34 (13) ◽  
pp. 3967-3984
Author(s):  
Runjie Li ◽  
Jinkang Du ◽  
Guodong Bian ◽  
Yuefeng Wang ◽  
Changchun Chen ◽  
...  
Keyword(s):  
River Basin ◽  
Integrated Modelling ◽  
Flood Simulation ◽  
Qinhuai River ◽  
Modelling Approach

Enterprise Modelling in Support of Organisation Design and Change

2010 ◽  
pp. 352-378
Author(s):  
Joseph Ajaefobi ◽  
Aysin Rahimifard ◽  
Richard Weston
Keyword(s):  
Simulation Modelling ◽  
Integrated Modelling ◽  
Market Place ◽  
Manufacturing Enterprises ◽  
Enterprise Modelling ◽  
Requirements Change ◽  
Study Application ◽  
Modelling Approach

Enterprises (business organisations) are increasingly operating under uncertain conditions arising from: governments that introduce new regulations; a market place which is shaped by ongoing change in customer requirements; change in capital markets that orient overall market directions; an advancing base of technology; and increasing competition which can arise from a growing number of sources (Monfared, 2000). Consequently, organisations are expected to change rapidly in response to emerging requirements. Classical theories and more recently ‘method-based’ organisation (re)design and change approaches have been proposed and tried with varying degrees of successes. This chapter contribution discusses the role of enterprise and simulation modelling in support of organisation (re)design and change. The capabilities and constraints of some widely acknowledged public domain enterprise modelling frameworks and methods are reviewed. A modelling approach which integrates the use of enterprise modelling (EM), causal loop modelling (CLM), and simulation modelling (SM) is described. The approach enables the generation of coherent and semantically rich models of organisations. The integrated modelling approach has been applied and tested in a number of manufacturing enterprises (MEs) and one case study application is described.

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