Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment (original) (raw)

Applicability of SWMM for semi Urban Catchment Flood modeling using extreme Rainfall Events

Blue Eyes Intelligence Engineering and Sciences Publication, 2019

Urban floods are different type of flooding event as compared to normally occurring riverine floods which is very often seen along the river banks during heavy rainfall in monsoons. Continuous human interventions in natural vegetative land for rapid Urbanization activities has given rise to Urban Flooding. So, there is a need for capacity analysis of existing storm networks and identification of overflow locations is the need of the study. Hence, in the present study an attempt has been made to simulate Urban Flood scenario for a semi Urban catchment using Storm Water Management Model (SWMM). The whole area is divided into 20 sub catchments and the data acquired from 2017 rainfall events is used for modelling. The study area is represented in SWMM by the help of Master Plan AutoCAD maps having drain lines and Reduced Levels (R.L.s) information. From this detailed elevation information of various nodes and length of pipe lines has been estimated to make the schematic view of the study area in SWMM. The focus of the present study is to model runoff conditions using Dynamic wave method of flood routing and Green-Ampt Infiltration model in SWMM. The results showed that SWMM has capability to model and interpret flows at various channel sections and nodes for mitigating floods. Due to unavailability of gauged flow data the model Parameters needs calibration for more reliable results. Model has effectively given catchment responses for peak flow and volume of runoff which is considered as one of the essential components of Urban drainage planning to mitigate the risk of flood.

Utilization of Storm Water Management Model for Urban Flood Scenario

Blue Eyes Intelligence Engineering and Sciences Publication, 2020

Majors cities in India have witnessed huge floods from past few decades. Due to rapid population growth and improper urban planning the chances of creek, localised or flash urban floods have drastically increased. Climatic changes are also a key reason for heavy rainfall that increases the flood volume and depth in a catchment. Modelling of Storm water plays a key role in estimating flood runoff quantity and quality. To check these issues SWMM is used to simulate floods scenario in Urban areas. This hydrological study is carried out to simulate and understand the rainfall runoff characteristics of the study area by using SWMM. It is an effective tool used for simulating flash floods and runoff in urban areas. In this study catchments have been subdivided into 14 parts and modelled for year 2017 rainfall events of 1-hr interval. The present study area is evaluated by importing AutoCAD map of the area in SWMM. Further Rainfall Data is imported as time series in the model. The results depict that the Runoff for the Sub catchments of S1, S2, S3, S9, S13 blocks are maximum. The study states that no nodes are flooded and also no overflow sections. Thus, the selected study area storm network system has been well planned and has enough carrying capacity to carry the simulated rainfall for a prolonged duration.

Application of PCSWMM for the 1-D and 1-D–2-D Modeling of Urban Flooding in Damansara Catchment, Malaysia

Applied Sciences

Coupled with climate change, the urbanization-driven increase in the frequency and intensity of floods can be seen in both developing and developed countries, and Malaysia is no exemption. As part of flood hazard mitigation, this study aimed to simulate the urban flood scenarios in Malaysia’s urbanized catchments. The flood simulation was performed using the Personal Computer Storm Water Management Model (PCSWMM) modeling of the Damansara catchment as a case study. An integrated hydrologic-hydraulic model was developed for the 1-D river flow modeling and 1-D–2-D drainage overflow modeling. The reliability of the 1-D river flow model was confirmed through the calibration and validation, in which the water level in TTDI Jaya was satisfactorily predicted, supported by the coefficient of determination (R2), Nash–Sutcliffe model efficiency coefficient (NSE), and relative error (RE). The performance of the 1-D–2-D model was further demonstrated based on the flood depth, extent, and risk c...

STORM WATER FLOOD MODELING IN URBAN AREAS

Storm water flood simulations were attempted through the existing drainage networks of Patna and Chennai urban areas using Storm Water Management Model (SWMM). The input for the model was extracted from different sources and maps in GIS environment. The existing drainage networks catchments were delineated using the Digital Elevation Model (DEM) and flow direction in drainage network. The simulation results are calibrated with observed hydrograph peaks and shape of the hydrographs. The model was run considering the original designed dimensions of the drainage network without any blockage still it is not adequate to dispose of the runoff for two years return period rainfall in both urban areas.

Urban Flood Modelling and Management using Storm Water Management Model

Mattingley Publishing Co., Inc., 2020

Urban areas are the major hotspots for the origination of floods. Occupying the surfaces with various impervious surface features there is an opportunity of changeover of rainfall to runoff which results in flooding. Variations of atmospheric changes is also a crucial factor for precipitation events in unusual times that outcomes in rising flood peaks. Volume of runoff from the investigation area is assessed by adopting Storm Water Management Model (SWMM). The major purpose of utilizing SWMM is to monitor the quality along with quantity of overflow originating from the sub catchments. This study is to illustrate the flooding situations for the urban area for historical utmost intense precipitation event as well as future intense rainfall situations. Flooding conditions of future is assessed by using RCP 4.5 NOAA-GFDL-ESM2M climate model downscaled data. Infiltration and Flow routing are the two essential aspects of SWMM. Modified Green-Ampt method is used for the infiltration while Dynamic Wave method is chosen for Flow Routing. SWMM outcomes are demonstrated in the form of graphs, tables which helps in understanding the overflow section and nodes.

Urban Flood Modeling and Management

Lambert Academic Publishing, 2020

Increasing population and migration of people to cities around the globe causes improper urbanization issues, because of this urban infrastructure is densely preoccupied. At the same time, anthropogenic activity of human in cities disturbs the water cycle, resulting urban heat island effect. All these leads to the inception of urban flooding situations in a localized area. Urban areas are the major hotspots for the origination of floods. Occupying the surfaces with various impervious surface features there is an opportunity of changeover of rainfall to runoff which results in flooding. Variations of atmospheric changes is also a crucial factor for precipitation events in unusual times that outcomes in rising flood peaks. Volume of runoff from the investigation area is assessed by adopting Storm Water Management Model (SWMM). The major purpose of utilizing SWMM is to monitor the quality along with quantity of overflow originating from the sub catchments. This study is to illustrate the flooding situations for the urban area for historical utmost intense precipitation event as well as future intense rainfall situations. Flooding conditions of future is assessed by using RCP 4.5 NOAA- GFDL-ESM2M climate model downscaled data. Infiltration and Flow routing are the two essential aspects of SWMM. Modified Green-Ampt method is used for the infiltration while Dynamic Wave method is chosen for Flow Routing. SWMM outcomes are demonstrated in the form of graphs, tables which helps in understanding the overflow section and nodes.

Urban Flood Simulation in Erbil City by Using Storm Water Management Model (SWMM)

ZANCO Journal of Pure and Applied Sciences, 2023

One of the worst and most frequent natural disasters is flooding. Due to changes in precipitation patterns brought on by global climate change, flash floods are a threat to most cities. When it rains heavily, infrastructure capacity could be insufficient, and flash floods occur at weak points. This study evaluates the drainage system network capacity of the worst flood risk area using the Storm Water Management Model (SWMM). The study area is around the Council of Ministers, which is divided into 23 subcatchments, and maximum daily rainfall data was collected from the Erbil Directorate of Meteorology and Seismology. This stud y analyzed three maximum daily rainfall events in three different decades of rainfall data from 1992-2022 to estimate the likelihood of flooding. The three events associated with maximum daily precipitation were 103.

Simulation of Urban Drainage System Using a Storm Water Management Model (SWMM)

Asian Journal of Engineering and Applied Technology

Urban floods are caused due to increase in population density, development of urban infrastructure without paying due consideration to drainage aspects and increase in paved surfaces. Storm water modelling plays an important role in checking issues such as flash floods and urban water-quality problems. The SWMM (Storm Water Management Model) has been an effective tool for simulating floods in urban areas. In this study a SWMM model is developed to analyze drainage network for the campus of National Institute of Technology, Warangal in the city of Warangal, Telangana, India. The model is simulated for one real storm event and 2-year return period of interval 1-hour design storm intensity. Frequency analysis is performed using best fitted distribution i.e., Gumbel’s distribution for different return periods and the frequency values are used for development of IDF (intensity-duration-frequency) curves. Design storm intensity derived from IDF curves for different return periods is used ...

Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study 4 PUBLICATIONS 0 CITATIONS SEE PROFILE

To avoid the nuisance of frequent flooding during rainy season, designing an efficient stormwater drainage system has become the need of the hour for present world engineers and urban planners. The present case study deals with providing a solution to stormwater management problem in an urbanized area. Mann-Kendall and Sen's slope tests are used to perform the trend analysis of rainfall events using daily rainfall data , while the L-moments-based frequency analysis method is employed to estimate the design storm for a small urbanized area in West Bengal, India, using daily annual maximum rainfall . SWMM (Storm Water Management Model) and MIKE URBAN models are used to design an efficient drainage system for the study area. Two-dimensional (2D) MIKE URBAN model is primarily used to overcome the limitation of one-dimensional (1D) SWMM in simulating flood extent and flood inundation. Model simulation results from MIKE URBAN are shown for an extreme rainfall event of July 29, 2013. A multi-purpose detention pond is also designed for groundwater recharge and attenuating the peak of outflow hydrograph at the downstream end during high-intensity rainfall. This study provides an insight into the importance of 2D model to deal with location-specific flooding problems.

Flood flow simulations and return period calculation for the Kota Tinggi watershed, Malaysia

Journal of Flood Risk Management, 2016

The City of Kota Tinggi in Malaysia was under more than 5 m of water during the floods in December 2006 and January 2007. The watershed received between 280 and 530 mm of rain in 4 days. These extreme events occurred 3 weeks apart and caused extensive damages. The application of the fully distributed twodimensional model two-dimensional runoff, erosion and export (TREX) to simulate these events and the estimation of the return period of such extreme events are the main objectives of this study. The model performance was very good based on the relative percentage different (3.7%), percent BIAS (overestimated the volume by 1.5%) and Nash-Sutcliffe efficiency coefficient (0.8). The TREX model is successful in simulating extreme flood events. The December 2006 rainstorm event at Kota Tinggi is extremely rare, and this multiday rainstorm had an estimated return period greater than 2000 years. The analysis of the return period shows that multiday rainstorms occur more frequently than single-day events. In addition, we produce a flood threshold graph by integrating both the hydrological modelling process using TREX and the theoretical formulation of return period. The proposed flood threshold graph is useful in the estimation of the amount of accumulated rainfall from multiday rainfall that can cause flooding on a large watershed like Kota Tinggi.